DOI: /10.25592/dgs.corpus-3.0-text-1246681

dgskorpus_fra_13: Regional Specialities

Topics City and Country: Home Land; City and Country: Ludwigshafen; City and Country: Rhineland-Palatinate; Food and Beverage; Vacation, Free Time, Traveling: Excursion; Vacation, Free Time, Traveling: Free Time

Translation Lexeme/Sign Mouth Translation Lexeme/Sign Mouth Moderator
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I was born in #Name1.
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I1 ich
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USUAL1*
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SELF1A* selbst
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USUAL1* normal
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BIRTH1B geburt
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$NAME #name1
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That place has been well-known in Germany for quite a while now.
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SELF2* selbst
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ALL3 alle
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$INDEX1
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HERE1* hier
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GERMAN1* deutschland
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TO-KNOW-OR-KNOWLEDGE2B^*
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TO-KNOW-STH-OR-SB1A kenn
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$INDEX1
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LOCATION1B* ort
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ALREADY1A* schon
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LONG-TIME5* lang
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Of course, 18 years/
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CLEAR1B* klar
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$NUM-TEEN1:8d achtzehn
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YEAR1B* jahre
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The former German chancellor #Name2 himself made public that he lived there.
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$INDEX1
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PAST-OR-BACK-THEN1 früher
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FORMER1 ehemalig
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$INDEX-ORAL1 bundeskanzler
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$ALPHA1:K
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$ALPHA1:# #name2
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$NAME
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TO-SHOW1A* [MG]
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I1 ich
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SELF1A* selbst
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APARTMENT5* wohnen
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$INDEX1*
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$GEST-OFF^
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He lived so close to me that we always greeted one another.
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I1*
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CLOSE-BY1A* [MG]
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TO-LET1^* oft
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TO-GREET2
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TO-GREET2
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I2 wohn
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CLOSE-BY1A* nah
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TO-WAVE1
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$GEST-OFF^
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OKAY3* okay
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There’s something in town that you surely know, too, it’s not that far away.
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$INDEX1
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AND1* und
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ROUND4A^* ort
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ALSO3A* auch
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WELL-KNOWN4* kennen
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$INDEX1 auch
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NONE2^* nicht so weit
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FAR1
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It’s a well-known crest. No, actually, it’s a company.
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WELL-KNOWN2 bekannt
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$PROD*
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ANIMAL1A^* wappen
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$GEST-NM-SHAKE-HEAD1^
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REALLY2 [MG]
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COMPANY1B* firma
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$GEST-OFF^
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That company is known all over the world: B-A-S-F.
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WORLD1 weltumspannend
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ROUND7^*
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$INDEX1
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$NAME #name3
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$GEST-NM-NOD-HEAD1^
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It‘s also close by my family home.
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$INDEX1*
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BUT1* aber
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ALSO3A* auch
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I1*
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CLOSE-BY1A [MG]
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FAR1 nicht so weit
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$GEST-OFF^
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$INDEX1
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I1 elternhaus
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APOLOGY1^
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BUILDING-OR-CONSTRUCTION1^
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HOUSE1A^ bauen
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In close proximity of that well-known village there are loads of other places. It’s all in a wine-growing region.
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VILLAGE4* dorf
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$INDEX1* dort
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WELL-KNOWN2* kennt man
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$INDEX1*
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ALSO1A* weil
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FAR1* nicht weit
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TO-SEND-OR-TO-DISPATCH1^* [MG]
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WINE4* weingebiet
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TERRITORY1*
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In one of those places within the wine-growing region, there’s usually a sausage market in September.
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ATTENTION1A^*
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$INDEX1* weingebiet
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ATTENTION1A^*
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PROCEEDING1^ regelmäßig
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$GEST-I-DONT-KNOW1^ beispiel
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SEPTEMBER11* september
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UNDER1A^
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TO-GO-THERE1^
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OFTEN1A* oft
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$INDEX1
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SAUSAGE1B* wurstmarkt
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MARKET3*
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It’s internationally known. Americans also like to come there.
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$INIT-CIRCLE2^* international
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WELL-KNOWN4* bekannt
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ALLOWED1^* auch
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MUCH-OR-MANY1A viel
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AMERICA1* amerika
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GLADLY1 gern
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TO-DRIVE3*
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For them, the sausage market is something of a small Oktoberfest, the one in Munich.
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CLEAR1A* klar
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SAUSAGE1B* wurstmarkt
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LIKE3A wie
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LIKE6
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ACTIVE1^ oktoberfest
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OKTOBERFEST1
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MUNICH1A münchen
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HIS-HER1*
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$GEST-OFF^ [MG]
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$GEST-OFF^
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In my hometown, #Name1, there’s also a bit of a special occasion each year:
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AND2B* und
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I1 [MG]
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APARTMENT5 wohnen
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HOME-OR-HOMELAND3* heimat
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$NAME #name1
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$NAME
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ALSO3A auch
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YEAR2A* jedes jahr
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$GEST-I-DONT-KNOW1^ [MG]
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SMALL9 kleine
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SPECIAL-OR-PARTICULARLY4* besonderheit
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$GEST-I-DONT-KNOW1^
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$GEST-I-DONT-KNOW1^ [MG]
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A motor show.
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TO-PARK1^* autoausstellung
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AREA1D^*
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With a street festival, a parade, and a kerve. [dialect for fair]
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WITH1A* mit
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STREET1* straßenfest
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CELEBRATION1A
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$PROD* umzug
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TO-SPIN2* kerwe
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It‘s usually four days in September, and a week later, the sausage market starts.
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ATTENTION1A^
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AVERAGE1C durchschnitt
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$NUM-ONE-TO-TEN1A:4*
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IN1* im
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SEPTEMBER11* september
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$NUM-ONE-TO-TEN1A:4* vier
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DAY4* tage
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PERIOD-OF-TIME1A*
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OVER2B* vorbei
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LATER10*
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WEEK1A* eine woche
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LATER10* später
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SAUSAGE1B* wurstmarkt [MG]
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$INDEX1*
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COHERENCE1B^*
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$GEST-I-DONT-KNOW1^
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I’m not a big fan of it. I don’t always need that.
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I1
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FAN1* fan
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I1 [MG]
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USUAL1* normal
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$NUM-HUNDRED2* hundert
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PERCENT6* prozent
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TO-NEED1* [MG]
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But many people know the 1. FC Kaiserslautern.
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BUT1* aber
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$GEST-I-DONT-KNOW1^ [MG]
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TO-KNOW-STH-OR-SB1A*
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CLEAR1B klar
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MUCH-OR-MANY9 viele
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TO-KNOW-STH-OR-SB1A kennen
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FIRST-OF-ALL1C erster
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$ALPHA1:F-C f-c
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KAISERSLAUTERN1* kaiserslautern
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$GEST-OFF^
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That’s also only about 60 kilometres away.
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AND2B* und
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FAR1 auch
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$GEST-OFF^ nicht weit
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I2^
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FAR1* [MG]
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$NUM-TENS2A:6d* sechzig
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TO-EMERGE1^* kilometer
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$GEST-OFF^
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$GEST-OFF^
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A well-known food in the region is a stuffed pig’s stomach.
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WELL-KNOWN2* bekannt
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LOCATION1A^* gericht
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$GEST-I-DONT-KNOW1^ [MG]
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I1* bei unser
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TERRITORY1 gebiet
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SPECIAL-OR-PARTICULARLY1A*
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PIG1B saumagen
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ROUND4B^
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$GEST-OFF^
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That’s really famous; it‘s a delicacy from Deidesheim.
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WELL-KNOWN4* bekannt
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ROUND4B^
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CLOSE-BY1A* [MG]
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$ALPHA1:D-# deidesheim
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One can often read in the newspaper that politicians and actors have been awarded a special prize: the pig’s stomach medal [medal awarded during carnival celebrations].
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OFTEN1B oft
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MUCH-OR-MANY9 viel
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OFTEN1B* oft
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NEWSPAPER3* zeitung
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TO-READ-BOOK2B
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POLITICS1 politiker
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$GEST-OFF^*
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$INDEX1* schauspieler
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$GEST-OFF^*
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OFTEN1B* oft
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TO-HONOUR1A ehrenpreis
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$GEST-OFF^
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POISON1B^ saumagenorden
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MEDAL1B^*
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$GEST-OFF^
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It’s the pig’s stomach medal.
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POISON1B^ saumagenorden
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MEDAL1B^*
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$GEST-OFF^
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Deidesheim is special, too.
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ALSO1C auch
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SPECIAL-OR-PARTICULARLY1A besonders
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$INDEX1
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TO-HIT1^* deidesheim
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HOME3*
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$INDEX1
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The chancellor/ CHANCELLOR2* kanzler
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CHANCELLOR3* bun{des}ka{nzler}
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The chancellor at the time, Kohl, invited other important politicians, like Bush, and one from Russia and some more from other countries.
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BACK-THEN1* damals
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CHANCELLOR3* bundeskanzler
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MAIN1A^
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$NAME-HELMUT-KOHL1* kohl
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POLITICS1*
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HIGH3A hohe
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POLITICS1* politiker
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$LIST1:1of1d
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$NAME* bush
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$INDEX1*
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$LIST1:2of2d
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$ORAL^ aus
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RUSSIA4B* russland
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AND-SO-ON2 und so weiter
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TO-INVITE1A eingeladen
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Afterwards, they always went to Deidesheim.
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THEN8* dann
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ALWAYS4A immer
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COHERENCE1A^ anschließend
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IN1 in
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TO-HIT1^* deidesheim
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WELCOME1A^*
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There, they were always served stuffed pig’s stomach.
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THERE1* dort
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THERE-IS3* gibt
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TO-HIT1^* immer
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SOW1 saumagen
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$PROD*
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TO-EAT-OR-FOOD2^
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DIFFERENT2*
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$PROD*
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You know that restaurant, what’s it called again?
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$GEST-ATTENTION1^*
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TO-KNOW-STH-OR-SB1A du kennst
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$NUM-ONE-TO-TEN1A:1d ein
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HEADING1^
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RESTAURANT1 restaurant
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WHATS-THE-NAME-$CANDIDATE-FRA26^ wie heißt
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The Deidesheimer Hof.
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$GEST-ATTENTION1^*
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TO-HIT1^* deidesheimer
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DARK1^*
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COURTYARD1 hof
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COURTYARD4*
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Yes, exactly.
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$INDEX1
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YES1A* ja
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$ORAL^ genau
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The Deidesheimer Hof is known nationwide.
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$INDEX1 deidesheimer hof
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WELL-KNOWN2* bekannt
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OVER-OR-ABOUT1 überregional
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REGION1
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TO-KNOW-STH-OR-SB1A* kennt
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ON-PERSON1^ bekannt
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Their chef is a famous starred chef.
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$GEST-ATTENTION1^*
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TO-PUT-IN3^
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TO-COOK3B koch
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ALSO1A* auch
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WELL-KNOWN4* bekannt
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MEANING3* bedeutet
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HIGH3A hoch
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STAR1* sternekoch
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The restaurant has three/ no, two stars.
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TO-COOK3B
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$NUM-ONE-TO-TEN1B:3d
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Mister Schwarz, but sadly he doesn’t work there anymore.
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$GEST^*
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$NUM-ONE-TO-TEN1B:2d zwei sterne
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MISTER-$CANDIDATE-FRA37^ herr
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$GEST^*
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$NUM-ONE-TO-TEN1A:2 zwei-sterne-koch
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STAR1*
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AGENCY2^
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MISTER-$CANDIDATE-FRA37^* herr
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MISTER-$CANDIDATE-FRA37^ herr
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BLACK1 schwarz
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BUT1* aber
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UNFORTUNATELY1 leider
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HERE1* hier
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TO-WORK1 arbeit
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TO-COOK3B* koch
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NOT3B nicht mehr
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He went to Heidelberg.
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TO-MOVE1^ heidelberg
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$GEST-OFF^* heidelberg
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They have a new chef at the Deidesheimer Hof. It works well with him, too.
00:03:03:30
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$NUM-ONE-TO-TEN1A:1 ein
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NEW1A neu
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TO-MOVE2^ küche
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ALSO1A* auch
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PROCEEDING1A läuft
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GOOD1* auch gut
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PROCEEDING2^* weiter
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OFF-OR-TO-REMOVE-STH2^*
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I live in Neuhofen, close to Ludwigshafen.
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AND2A und dann
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I1$NUM-ONE-TO-TEN1A:2d ich
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$INDEX1* da
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AT-OR-ON1A* bei mir
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APARTMENT5* wohne
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NEW1A^ neuhofen
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I2
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AT-OR-ON1C bei
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LUDWIGSHAFEN1* ludwigshafen
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There are also many different events going on.
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TO-HAVE-TO-OWN1*$INDEX1 hat
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ALSO1A* auch
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THERE1 dort
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MUCH-OR-MANY1A viele
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AND2A* und
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DISTINCT2B* verschiedene
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EVENT1 veranstaltungen
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In my village, Neuhofen, every first Sunday/
00:03:20:32
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MY1* mein
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VILLAGE4 dorf
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NEW1A^ neuhofen
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TO-HAVE-TO-OWN1* hat
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EVERY1B jeden
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MONTH1* m{onat}
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FIRST-OF-ALL1A ersten
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SUNDAY2* sonn{tag}
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$GEST-NM-SHAKE-HEAD1^
00:03:25:46
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No, every first Saturday in October one can experience the Kerwe.
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PERIOD1A^* sonnabend
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$ORAL^ im
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MONTH1 monat
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QUESTION1^* oktober
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ROUND3A^* kerwe
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$CUED-SPEECH*
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THERE-IS3* gibt
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The village is quite small and good for families.
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THE1 das
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VILLAGE4* dorf
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$GEST-OFF^
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SMALL11 klein
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BEAUTIFUL3* auch schön
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FOR1 für
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FAMILY3* familien
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PROCEEDING2
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$GEST-OFF^
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The next #Name4 city is Speyer.
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$LIST1:3of3d und dann
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IN-FRONT1^* nächste
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CITY2* stadt
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AWARD2^* speyer
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With a huge church, the cathedral.
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THERE1* dort
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TO-HAVE-TO-OWN1* hat
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SOLID1A^* gewaltige
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CHURCH1* kirche
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SPIKY2B^ dom
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A catholic one.
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CATHOLIC2 katholisch
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A catholic cathedral.
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CATHOLIC2* katholischer
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SPIKY2B^ dom
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That cathedral is really famous.
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ALSO1A* auch
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$ORAL^ ein
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WELL-KNOWN2 bekannt
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$GEST-OFF^
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SPIKY2B^* dom
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Another famous city close by is Worms.
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AND5* und
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ALSO3A* auch
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FAR1 nicht so weit
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CLOSE-BY1B
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OUR1A* von unser
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TO-SIT1A^* ort
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DISTANCE-OR-RANGE2*
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$ALPHA1:W worms
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$CUED-SPEECH*
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It’s known for its extensive history.
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WELL-KNOWN2^* berühmt
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$GEST-OFF^
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$INDEX1* für
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TO-BELONG1^* die
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PAST1^ alte
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HISTORY-OR-STORY1B* geschichte
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Martin Luther was ordered and warned there.
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THERE1 dort
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MUST1A^ wurde
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$INDEX1
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$GEST-OFF^
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$INIT-STRAIGHT1^* martin luther
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$ALPHA1:L
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WARNING1* verwarnt
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Martin Luther supposedly publicly said, “Here I stand, I cannot do otherwise.“
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$ORAL^ und
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THERE1 dort
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SHALL1 soll
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$ALPHA1:L* martin luther
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PUBLIC3 öffentlich
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TO-SAY3* gesagt
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$ORAL^ haben
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I1^* hier
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TO-STAND1 stehe
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I1* ich
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I1* und ich
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CAN2A kann
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I1^*
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NOT3A nicht
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DIFFERENT3* anders
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Worms is also famous for the Nibelungen and Siegfried.
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AND5* und
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$INDEX1
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$ALPHA1:W worms
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$ORAL^ auch
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WELL-KNOWN2^* berühmt
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THROUGH2B durch
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$ALPHA1:N-#-L-G nibelungen
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TO-RIDE1A^* siegfried
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$GEST-OFF^
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During a hunt, Hagen stabs him in the spot on his back marked by a cross. That’s how it is told.
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AND5* und
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SPIRIT1B^* jagd
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$INDEX1* kreuzstoß
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$INDEX1*
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TO-STAB6
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THROUGH2B durch
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$CUED-SPEECH* hagen
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TO-SAY1
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$GEST-OFF^
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$GEST-OFF^
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And the treasure of the Nibelungs is supposedly sunk in the river Rhine.
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AND5* und
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IN1 im
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RHINE-RIVER1* rhein
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SHALL1 soll
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$ALPHA1:N-N-N nibelungenschatz
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TO-GIVE1A^*
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TO-SINK1^ versunken
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TO-LET1^ sein
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$GEST-OFF^
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The next well-known city is Heidelberg.
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AND-THEN2 und dann
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OUTDOORS1B^ die nächste
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WELL-KNOWN4 bekannte
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CITY2* stadt
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TRADE-OR-NEGOTIATION1^ heidelberg
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Wait/
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MOMENT3* m{oment}
00:04:40:07
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Heidelberg is close.
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TRADE-OR-NEGOTIATION1^* heidelberg
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UNION2A^
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No, Heidelberg belongs to Baden-Wuerttemberg.
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$INDEX1* heidelberg
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OUTDOORS1B^ [MG]
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TO-BATH2 baden-württemberg
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HIS-HER1
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But it’s about/
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IN1^* im moment
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TO-SPEAK1A* auch sprechen We should talk about Rhineland-Palatinate.
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$GEST-OFF^
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WE1A* wir
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TO-SPEAK1A* sprechen
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TOGETHER3A^* über
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AREA1A^ rheinland-pfalz
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No, no. It’s fine. He’s talking about things in proximity.
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It’s in proximity.
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CLOSE-BY1A* [MG]
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$GEST-OFF^ eben
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So, in Heidelberg, there is a well-known castle.
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TRADE-OR-NEGOTIATION1^ heidelberg
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TO-HAVE-TO-OWN1* hat
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PRESENT-OR-HERE1* da
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$NUM-ONE-TO-TEN1A:1d ein
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WELL-KNOWN2^* berühmt
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FORTRESS1^* schloss
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Due to the French/
00:04:58:29
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THROUGH2B* durch
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FRANCE3A* französisch
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$GEST-I-DONT-KNOW1^*
00:05:00:18
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The revolution.
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$INIT-STRAIGHT1^* revolution
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No, the French war.
00:05:01:40
00:05:01:45
$GEST-NM-SHAKE-HEAD1^ nein
00:05:01:45
00:05:02:13
$CUED-SPEECH* einfluss
00:05:02:13
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TO-AFFECT1 $INIT-HAND-WRIST1^* französisch krieg
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WAR1A
00:05:03:21
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Due to the French war.
00:05:03:34
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$GEST^*
00:05:03:37
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FRANCE3A* französisch krieg
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WAR1A*
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$GEST-OFF^
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Sadly, that’s why it’s still partly destroyed.
00:05:06:08
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UNFORTUNATELY1* leider
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NOW1 jetzt
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STILL4B* noch
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PART1A zum teil
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TO-DESTROY1 zerstört
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$GEST-OFF^
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Nowadays, many vacationers and tourists come to visit it.
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AND5* und
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THERE1* da
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TO-COME1 kommen
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MUCH-OR-MANY1A* viele
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VACATION7 urlauber
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DIFFERENT2^*
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JOURNEY1C^* touristen
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There were especially many Chinese and Japanese people when I was there.
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I1 ich
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$ORAL^ war
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ALSO1A* auch
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THERE1 dort
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I1 ich
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TO-SEE1 sehe
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SPECIAL-OR-PARTICULARLY1A* so besonders
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MUCH-OR-MANY1A* viele
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CHINA1* chinesen
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JAPAN2* japaner
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OUTWARDS1^*
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00:05:21:22
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But also other visitors from all over the world, of course.
00:05:21:37
00:05:21:45
AND5* und
00:05:21:45
00:05:22:02
$ORAL^ auch
00:05:22:02
00:05:22:09
00:05:22:09
00:05:22:34
WHOLE1A* ganze
00:05:22:34
00:05:22:39
00:05:22:39
00:05:22:46
$GEST-OFF^ welt
00:05:22:46
00:05:23:05
00:05:23:05
00:05:23:12
TO-VISIT-OR-TO-ATTEND1B* besuchen
00:05:23:12
00:05:23:15
00:05:23:15
00:05:23:20
$GEST-OFF^
00:05:23:20
00:05:23:24
00:05:23:24
00:05:24:05
$GEST-NM-NOD-HEAD1^
00:05:24:05
00:05:25:11
00:05:25:11
00:05:25:29
Also close by, next to Heidelberg, is the Kaiserstuhl [low mountain range in the Upper Rhine Valley].
00:05:25:29
00:05:25:34
$LIST1:3of3d* dann
00:05:25:34
00:05:25:41
00:05:25:41
00:05:26:16
$LIST1:3of3d
00:05:26:16
00:05:28:07
00:05:28:07
00:05:29:00
CLOSE-BY1B
00:05:29:00
00:05:29:24
00:05:29:24
00:05:29:49
$NAME heidelberg
00:05:29:49
00:05:30:16
00:05:30:16
00:05:30:37
NEXT-TO1A* nebenan
00:05:30:37
00:05:31:18
00:05:31:18
00:05:31:35
ABOVE1 oben
00:05:31:35
00:05:32:10
00:05:32:10
00:05:32:21
EMPEROR1B kaiserstuhl
00:05:32:21
00:05:32:43
00:05:32:43
00:05:33:07
CHAIR1A
00:05:33:07
00:05:34:26
00:05:34:26
00:05:34:41
One has a glorious wide view over the surroundings.
00:05:34:41
00:05:35:12
TO-WORK2^ immer
00:05:35:12
00:05:35:23
00:05:35:23
00:05:35:28
GOOD1* gut
00:05:35:28
00:05:35:42
00:05:35:42
00:05:36:22
IN-FRONT1^* weiter
00:05:36:22
00:05:37:05
00:05:37:05
00:05:38:09
TO-SPREAD2^* ausblick
00:05:38:09
00:05:38:24
00:05:38:24
00:05:38:41
One sees the Rhine directly in front, ah, no, the Neckar.
00:05:38:41
00:05:39:12
RHINE-RIVER1* rhein
00:05:39:12
00:05:39:20
00:05:39:20
00:05:39:40
$GEST-NM-SHAKE-HEAD1^
00:05:39:40
00:05:40:15
00:05:40:15
00:05:40:33
RIVER1^ neckar
00:05:40:33
00:05:42:03
00:05:42:03
00:05:42:14
With seven or eight different bridges.
00:05:42:14
00:05:42:17
$NUM-ONE-TO-TEN1A:7d* sieben
00:05:42:17
00:05:42:23
00:05:42:23
00:05:42:29
$NUM-ONE-TO-TEN1A:8d* acht
00:05:42:29
00:05:42:39
00:05:42:39
00:05:42:42
DISTINCT1* versch{iedene}
00:05:42:42
00:05:43:06
00:05:43:06
00:05:44:14
BRIDGE1A* brücke brücke
00:05:44:14
00:05:44:46
00:05:44:46
00:05:45:11
The Palatinate Forest itself is also well-known nationwide.
00:05:45:11
00:05:45:16
$INDEX2 und
00:05:45:16
00:05:45:34
00:05:45:34
00:05:45:43
ALSO1A auch
00:05:45:43
00:05:45:48
00:05:45:48
00:05:46:06
$GEST-OFF^
00:05:46:06
00:05:46:21
00:05:46:21
00:05:46:23
$INDEX1 ??
00:05:46:23
00:05:46:26
00:05:46:26
00:05:46:44
I1^*
00:05:46:44
00:05:47:07
00:05:47:07
00:05:47:22
WELL-KNOWN4* bekannt
00:05:47:22
00:05:47:31
00:05:47:31
00:05:48:01
ALSO1A* ist auch
00:05:48:01
00:05:48:15
00:05:48:15
00:05:48:23
GENERALLY1C* allgemein
00:05:48:23
00:05:48:48
00:05:48:48
00:05:49:36
REGION1 regionalweit
00:05:49:36
00:05:50:05
00:05:50:05
00:05:50:28
DISTANCE-OR-RANGE2
00:05:50:28
00:05:51:05
00:05:51:05
00:05:51:16
$INDEX1
00:05:51:16
00:05:51:21
00:05:51:21
00:05:51:41
AREA1A^ pfälzer wald
00:05:51:41
00:05:51:48
00:05:51:48
00:05:52:39
AREA1A^*
00:05:52:39
00:05:53:09
00:05:53:09
00:05:53:14
It’s a popular destination for hikers.
00:05:53:14
00:05:53:17
$INDEX1
00:05:53:17
00:05:53:30
00:05:53:30
00:05:53:43
POPULAR1 beliebt
00:05:53:43
00:05:54:16
00:05:54:16
00:05:54:24
TO-DRIVE1^* ziel
00:05:54:24
00:05:55:02
AIM1*
00:05:55:02
00:05:55:21
00:05:55:21
00:05:55:27
$ORAL^ für
00:05:55:27
00:05:55:30
00:05:55:30
00:05:55:49
TO-HIKE4* wanderfreunde
00:05:55:49
00:05:56:07
00:05:56:07
00:05:56:48
FRIEND3
00:05:56:48
00:05:57:11
00:05:57:11
00:05:57:26
The Palatinate hiking clubs often go hiking there.
00:05:57:26
00:05:57:34
PALATINATE-$CANDIDATE-FRA30^ pfälzer
00:05:57:34
00:05:57:45
00:05:57:45
00:05:58:09
TO-HIKE4* wanderverein
00:05:58:09
00:05:58:20
00:05:58:20
00:05:59:04
AREA1A^
00:05:59:04
00:05:59:14
00:05:59:14
00:05:59:23
$LIST1:2of2d und
00:05:59:23
00:05:59:31
00:05:59:31
00:05:59:38
$GEST-DECLINE1^* oft
00:05:59:38
00:05:59:48
00:05:59:48
00:06:00:20
TO-DRIVE1^* [MG]
00:06:00:20
00:06:00:28
00:06:00:28
00:06:00:49
TO-HIKE4* [MG]
00:06:00:49
00:06:01:13
00:06:01:13
00:06:01:16
The most well-known spot is the Johanniskreuz [tiny hamlet in the middle of the forest].
00:06:01:16
00:06:01:29
WELL-KNOWN4* bekannt
00:06:01:29
00:06:01:47
00:06:01:47
00:06:02:07
$ALPHA1:J johanniskreuz
00:06:02:07
00:06:02:19
00:06:02:19
00:06:02:36
CROSS2A
00:06:02:36
00:06:02:43
00:06:02:43
00:06:02:47
$GEST-OFF^
00:06:02:47
00:06:03:26
00:06:03:26
00:06:03:41
Sometimes, it has sad reputation, though.
00:06:03:41
00:06:03:46
$INDEX1
00:06:03:46
00:06:04:04
00:06:04:04
00:06:04:11
ALSO1A auch
00:06:04:11
00:06:04:41
00:06:04:41
00:06:05:12
UNFORTUNATELY1* leider
00:06:05:12
00:06:05:22
00:06:05:22
00:06:05:29
ALSO3A* auch
00:06:05:29
00:06:06:03
00:06:06:03
00:06:06:11
SOMETIMES1* manchmal
00:06:06:11
00:06:06:24
00:06:06:24
00:06:06:38
SAD4 traurigen
00:06:06:38
00:06:07:02
00:06:07:02
00:06:07:15
TO-SHOUT1B ruf
00:06:07:15
00:06:07:38
00:06:07:38
00:06:08:05
A lot of motorcyclists go crazy and drive way too fast on that route.
00:06:08:05
00:06:08:13
$GEST-DECLINE1^*
00:06:08:13
00:06:08:15
00:06:08:15
00:06:08:26
THROUGH2A* durch
00:06:08:26
00:06:08:42
00:06:08:42
00:06:09:08
MOTORCYCLE1B motorrad
00:06:09:08
00:06:09:39
00:06:09:39
00:06:10:15
$PROD* [MG]
00:06:10:15
00:06:10:31
00:06:10:31
00:06:10:39
MUCH-OR-MANY9 viele
00:06:10:39
00:06:11:13
00:06:11:13
00:06:11:37
CRAZY1A [MG]
00:06:11:37
00:06:11:49
00:06:11:49
00:06:12:08
FAST3A zu schnell
00:06:12:08
00:06:12:20
00:06:12:20
00:06:12:43
$PROD*
00:06:12:43
00:06:13:06
00:06:13:06
00:06:13:13
Because of that, many end up having accidents. On average, ten people die there yearly.
00:06:13:13
00:06:13:21
IT-HAPPENS3* passiert
00:06:13:21
00:06:13:30
00:06:13:30
00:06:13:39
$GEST-DECLINE1^* oft
00:06:13:39
00:06:13:48
00:06:13:48
00:06:14:24
TO-LIST1C^*DEATH2* tote
00:06:14:24
00:06:14:41
00:06:14:41
00:06:15:07
YEAR1B im jahr
00:06:15:07
00:06:15:16
00:06:15:16
00:06:15:24
AVERAGE1C* durchschnitt
00:06:15:24
00:06:15:41
00:06:15:41
00:06:15:46
ATTENTION1A^
00:06:15:46
00:06:16:04
00:06:16:04
00:06:16:11
$NUM-ONE-TO-TEN1B:10 zehn
00:06:16:11
00:06:16:23
00:06:16:23
00:06:16:42
DEATH2* tote
00:06:16:42
00:06:17:27
00:06:17:27
00:06:17:38
Oh well.
00:06:17:38
00:06:17:43
$GEST-OFF^
00:06:17:43
00:06:18:13
00:06:18:13
00:06:18:19
00:06:18:19
00:06:18:35
In the Palatinate Forest, there are also lots of fortresses.
00:06:18:35
00:06:18:48
AND5* und
00:06:18:48
00:06:19:12
00:06:19:12
00:06:19:21
IN1 im
00:06:19:21
00:06:19:31
00:06:19:31
00:06:19:44
AREA1A^* pfälzer wald
00:06:19:44
00:06:20:04
00:06:20:04
00:06:20:14
$INDEX1
00:06:20:14
00:06:20:27
00:06:20:27
00:06:20:36
TO-HAVE-TO-OWN1* hat
00:06:20:36
00:06:20:46
00:06:20:46
00:06:21:01
THERE-IS3* gibt
00:06:21:01
00:06:21:07
00:06:21:07
00:06:21:16
OFF1C^ auch
00:06:21:16
00:06:21:29
00:06:21:29
00:06:21:42
MUCH-OR-MANY1A* viele
00:06:21:42
00:06:22:19
00:06:22:19
00:06:22:36
BEAUTIFUL3* schöne
00:06:22:36
00:06:24:04
00:06:24:04
00:06:25:32
FORTRESS2* burg burg burg burg
00:06:25:32
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00:06:26:12
00:06:26:31
One that’s especially big is the Hambach Castle.
00:06:26:31
00:06:26:39
SPECIAL-OR-PARTICULARLY1A* besonders
00:06:26:39
00:06:27:11
00:06:27:11
00:06:27:23
BIG3B große
00:06:27:23
00:06:27:29
00:06:27:29
00:06:27:37
FORTRESS2* burg
00:06:27:37
00:06:28:06
00:06:28:06
00:06:28:18
$CUED-SPEECH* ha{mbach}
00:06:28:18
00:06:28:29
00:06:28:29
00:06:29:01
$CUED-SPEECH* hambacher
00:06:29:01
00:06:29:18
00:06:29:18
00:06:29:30
LOCATION1B^ schloss
00:06:29:30
00:06:30:00
00:06:30:00
00:06:30:08
I like to visit my sister from time to time, who moved after getting married.
00:06:30:08
00:06:30:19
$ORAL^ und
00:06:30:19
00:06:30:21
00:06:30:21
00:06:30:34
I1* ich
00:06:30:34
00:06:30:43
00:06:30:43
00:06:31:02
ALLOWED1 darf
00:06:31:02
00:06:31:18
00:06:31:18
00:06:31:28
TO-STEER-STEERING-WHEEL1^ fahr
00:06:31:28
00:06:31:37
00:06:31:37
00:06:31:41
GLADLY1 auch gern
00:06:31:41
00:06:32:05
00:06:32:05
00:06:32:08
$INDEX1
00:06:32:08
00:06:32:12
00:06:32:12
00:06:32:47
APPROXIMATELY2^ ab und zu
00:06:32:47
00:06:33:27
00:06:33:27
00:06:33:30
MY1 weil
00:06:33:30
00:06:33:42
00:06:33:42
00:06:34:01
GIRL-$CANDIDATE-FRA36^ meine schwester
00:06:34:01
00:06:34:11
00:06:34:11
00:06:34:15
$INDEX1
00:06:34:15
00:06:34:23
00:06:34:23
00:06:34:40
TO-GO-THERE1^ wohnt dort
00:06:34:40
00:06:35:03
00:06:35:03
00:06:35:11
$ORAL^ durch
00:06:35:11
00:06:35:13
00:06:35:13
00:06:35:28
TO-MARRY4 heiraten
00:06:35:28
00:06:36:24
00:06:36:24
00:06:36:38
It’s a one or two hour drive, through Koblenz.
00:06:36:38
00:06:37:06
FROM-TO1* [MG]
00:06:37:06
00:06:37:22
00:06:37:22
00:06:37:28
$GEST-OFF^
00:06:37:28
00:06:37:46
00:06:37:46
00:06:38:03
TO-NEED1* brauch
00:06:38:03
00:06:38:22
00:06:38:22
00:06:38:39
HOUR2A* eine stunde
00:06:38:39
00:06:39:07
00:06:39:07
00:06:39:26
FROM-TO1*
00:06:39:26
00:06:39:35
00:06:39:35
00:06:39:40
$GEST-DECLINE1^ bis
00:06:39:40
00:06:39:46
00:06:39:46
00:06:40:05
HOUR2A zwei stunden
00:06:40:05
00:06:40:19
00:06:40:19
00:06:40:39
FROM-TO1*
00:06:40:39
00:06:41:11
$ORAL^ fahren
00:06:41:11
00:06:41:19
00:06:41:19
00:06:41:28
AFTER1 nach
00:06:41:28
00:06:41:34
00:06:41:34
00:06:42:01
$ALPHA1:K koblenz
00:06:42:01
00:06:42:17
00:06:42:17
00:06:43:00
OVER-OR-ABOUT1* über
00:06:43:00
00:06:43:14
00:06:43:14
00:06:43:27
Then, one ends up in the famous Eifel.
00:06:43:27
00:06:43:37
WELL-KNOWN2^* berühmtes
00:06:43:37
00:06:44:00
00:06:44:00
00:06:44:40
TERRITORY1* gebiet
00:06:44:40
00:06:45:02
00:06:45:02
00:06:45:23
$ALPHA1:E-L eifel
00:06:45:23
00:06:45:33
00:06:45:33
00:06:46:07
AREA1A
00:06:46:07
00:06:46:20
00:06:46:20
00:06:46:27
The Eifel is a well-known volcanic region.
00:06:46:27
00:06:46:32
$INDEX1
00:06:46:32
00:06:46:42
00:06:46:42
00:06:47:01
AREA1A eifel
00:06:47:01
00:06:47:08
00:06:47:08
00:06:47:14
$INDEX1
00:06:47:14
00:06:47:26
00:06:47:26
00:06:47:39
WELL-KNOWN2* bekannt
00:06:47:39
00:06:47:46
00:06:47:46
00:06:47:49
$INDEX1
00:06:47:49
00:06:48:13
00:06:48:13
00:06:48:30
SOURCE1A^* vulkangebiet
00:06:48:30
00:06:48:37
00:06:48:37
00:06:49:26
TERRITORY1
00:06:49:26
00:06:49:27
00:06:49:27
00:06:49:45
Of course, nowadays, the volcano is dormant, but it’s still there, seething beneath the surface.
00:06:49:45
00:06:50:01
ALSO3A* auch
00:06:50:01
00:06:50:04
00:06:50:04
00:06:50:12
TODAY1 heute
00:06:50:12
00:06:50:22
00:06:50:22
00:06:50:28
STILL1A* noch
00:06:50:28
00:06:50:37
00:06:50:37
00:06:51:02
AREA1A^ vulkane
00:06:51:02
00:06:51:11
00:06:51:11
00:06:51:18
ONCE-MORE1A^
00:06:51:18
00:06:51:36
00:06:51:36
00:06:51:43
TO-SLEEP1A* schlafen
00:06:51:43
00:06:52:07
00:06:52:07
00:06:52:16
$INDEX1
00:06:52:16
00:06:52:19
00:06:52:19
00:06:52:31
$ORAL^ aber
00:06:52:31
00:06:52:35
00:06:52:35
00:06:52:42
DOWN1* unten
00:06:52:42
00:06:53:07
00:06:53:07
00:06:53:28
STILL1A* noch
00:06:53:28
00:06:53:38
00:06:53:38
00:06:53:48
PRESENT-OR-HERE1* da
00:06:53:48
00:06:54:14
00:06:54:14
00:06:54:39
TO-BUBBLE-OR-SEETHE2* [MG]
00:06:54:39
00:06:55:03
00:06:55:03
00:06:55:11
SILENCE4 ruhe
00:06:55:11
00:06:55:18
00:06:55:18
00:06:55:48
OF-COURSE1B* selbstverständlich
00:06:55:48
00:06:56:03
00:06:56:03
00:06:56:10
$GEST-OFF^
00:06:56:10
00:06:57:17
$$EXTRA-LING-ACT^
00:06:57:17
00:06:57:32
Scientists have confirmed that it could erupt again.
00:06:57:32
00:06:57:36
$ALPHA1:W wissenschaft
00:06:57:36
00:06:58:04
00:06:58:04
00:06:58:18
ALREADY1A* schon
00:06:58:18
00:06:58:24
00:06:58:24
00:06:58:29
ONCE1A einmal
00:06:58:29
00:06:58:36
00:06:58:36
00:06:59:02
TO-SAY3* gesagt
00:06:59:02
00:06:59:13
00:06:59:13
00:06:59:21
$INDEX1
00:06:59:21
00:06:59:35
00:06:59:35
00:06:59:42
SOURCE1A^* vulkangebiet
00:06:59:42
00:07:00:02
00:07:00:02
00:07:00:14
AREA1A^
00:07:00:14
00:07:00:28
00:07:00:28
00:07:00:42
CAN2A könnte
00:07:00:42
00:07:01:10
00:07:01:10
00:07:01:21
WHAT1A^* wieder
00:07:01:21
00:07:01:39
00:07:01:39
00:07:02:06
EXPLOSION2^* ausbrechen
00:07:02:06
00:07:02:37
00:07:02:37
00:07:03:01
Just recently they found out that there is a leakage of gas again.
00:07:03:01
00:07:03:07
RECENTLY2*
00:07:03:07
00:07:03:24
00:07:03:24
00:07:03:36
STAMP1^* festgestellt
00:07:03:36
00:07:03:47
00:07:03:47
00:07:04:03
$INDEX1
00:07:04:03
00:07:04:25
00:07:04:25
00:07:04:35
TO-COME1* kommt
00:07:04:35
00:07:04:48
00:07:04:48
00:07:05:49
SOURCE1B^* gas
00:07:05:49
00:07:06:27
00:07:06:27
00:07:06:41
NO3B^*
00:07:06:41
00:07:07:15
00:07:07:15
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00:07:10:42
00:07:11:04
Here, in the Palatinate, there are incredibly many events going on between July and November.
00:07:11:04
00:07:11:12
OFF2^ und
00:07:11:12
00:07:11:25
00:07:11:25
00:07:11:46
HERE1* hier
00:07:11:46
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00:07:12:39
AREA1A^ pfalz
00:07:12:39
00:07:13:30
00:07:13:30
00:07:13:45
THERE-IS3* gibt
00:07:13:45
00:07:13:48
00:07:13:48
00:07:14:09
NORTH1B^ auch
00:07:14:09
00:07:15:22
00:07:15:22
00:07:16:04
SPECIAL-OR-PARTICULARLY5 besonders
00:07:16:04
00:07:16:21
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00:07:16:31
OFF2PERIOD1A^* ab
00:07:16:31
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00:07:16:46
JULY8* juli
00:07:16:46
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00:07:17:25
00:07:18:10
PERIOD1A^ bis
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00:07:18:14
00:07:18:49
PERIOD1A^* november
00:07:18:49
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00:07:19:28
00:07:20:02
POSSIBLE1* unmöglich
00:07:20:02
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00:07:20:20
00:07:20:33
MUCH-OR-MANY1A* viel
00:07:20:33
00:07:20:44
00:07:20:44
00:07:21:43
ROW1^* gibt gibt
00:07:21:43
00:07:21:48
00:07:21:48
00:07:22:03
Court festivals, vineyard festival as well as others.
00:07:22:03
00:07:22:10
LOCATION1A^ dort
00:07:22:10
00:07:22:16
00:07:22:16
00:07:22:28
AN1A ein
00:07:22:28
00:07:22:38
00:07:22:38
00:07:23:06
TO-MILK1D^* hoffest
00:07:23:06
00:07:23:07
00:07:23:07
00:07:23:16
CELEBRATION1A
00:07:23:16
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$LIST1:2of2d
00:07:23:43
00:07:24:04
00:07:24:04
00:07:24:21
TO-HAVE-TO-OWN1* hat
00:07:24:21
00:07:24:33
00:07:24:33
00:07:24:42
WINE2* weingutfest
00:07:24:42
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00:07:25:01
00:07:25:09
MANOR1*
00:07:25:09
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00:07:25:21
00:07:25:35
CELEBRATION1A
00:07:25:35
00:07:26:12
00:07:26:12
00:07:26:47
TO-LIST1A* noch mehr
00:07:26:47
00:07:27:09
00:07:27:09
00:07:27:23
$GEST-OFF^
00:07:27:23
00:07:28:30
00:07:28:30
00:07:28:41
I remembered something else.
00:07:28:41
00:07:29:00
ATTENTION1A^*
00:07:29:00
00:07:29:17
00:07:29:17
00:07:29:43
Italians who live here and even those living in Italy say the following:
00:07:29:43
00:07:29:47
$INDEX1
00:07:29:47
00:07:30:11
00:07:30:11
00:07:30:22
$INDEX1
00:07:30:22
00:07:31:12
00:07:31:12
00:07:31:28
$GEST^* italiener
00:07:31:28
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$INDEX1
00:07:33:03
00:07:33:14
00:07:33:14
00:07:33:23
ALSO3A auch
00:07:33:23
00:07:33:29
00:07:33:29
00:07:33:34
IN1 in
00:07:33:34
00:07:33:46
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00:07:34:01
$INDEX1
00:07:34:01
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AREA1A^* italien
00:07:34:31
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00:07:35:24
00:07:35:29
AND5* und
00:07:35:29
00:07:35:38
00:07:35:38
00:07:36:07
$GEST^* italiener
00:07:36:07
00:07:36:32
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00:07:36:42
APARTMENT5 wohnen
00:07:36:42
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HERE1
00:07:37:06
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00:07:37:19
00:07:37:41
AREA2A* regional
00:07:37:41
00:07:38:19
00:07:38:19
00:07:38:33
TO-SAY3* sagen
00:07:38:33
00:07:39:12
00:07:39:12
00:07:39:17
the Palatinate/ HERE1
00:07:39:17
00:07:39:25
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00:07:39:34
I1^*
00:07:39:34
00:07:39:47
00:07:39:47
00:07:40:43
AREA1D^* pfalz
00:07:40:43
00:07:41:02
Or especially the Rhine region/
00:07:41:02
00:07:41:12
MAINLY1* vor allem
00:07:41:12
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00:07:41:32
RHINE-RIVER1* rheingebiet
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00:07:42:29
TERRITORY1*
00:07:42:29
00:07:43:09
00:07:43:09
00:07:43:19
That’s the “German Tuscany.” $INDEX1* ist
00:07:43:19
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00:07:43:40
00:07:44:07
GERMAN1* deutsche toskana
00:07:44:07
00:07:44:26
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$ALPHA1:T-O-S-K-A
00:07:46:02
00:07:46:27
00:07:46:27
00:07:47:26
$GEST-NM-NOD-HEAD1^
00:07:47:26
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00:07:47:45
German Tuscany.
00:07:47:45
00:07:48:02
GERMAN1* deutsche toskana
00:07:48:02
00:07:48:18
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$ALPHA1:K-A
00:07:48:39
00:07:49:36
00:07:49:36
00:07:50:07
Our region especially is very lucky.
00:07:50:07
00:07:50:15
ALSO3A* auch
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00:07:50:33
AREA1A^
00:07:50:33
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$INDEX1
00:07:50:43
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00:07:51:09
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MAINLY1 vor allem
00:07:51:16
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I1*
00:07:51:43
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00:07:51:49
00:07:52:49
REGION1* unser region
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LUCK1*
00:07:53:43
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00:07:53:48
00:07:54:04
ALSO3A* auch
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00:07:54:14
00:07:54:14
00:07:54:24
OFTEN1A* oft
00:07:54:24
00:07:54:35
00:07:54:35
00:07:54:40
MUCH-OR-MANY1B* viel
00:07:54:40
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00:07:55:05
00:07:55:22
LUCK1 glück
00:07:55:22
00:07:55:36
00:07:55:36
00:07:55:49
Because the weather is usually quite good, summers are often very warm.
00:07:55:49
00:07:56:07
$INDEX1
00:07:56:07
00:07:56:16
00:07:56:16
00:07:56:22
GOOD1^* wetter
00:07:56:22
00:07:56:36
00:07:56:36
00:07:56:42
OFTEN1A* oft
00:07:56:42
00:07:56:47
00:07:56:47
00:07:57:17
AVERAGE1C durchschnitt
00:07:57:17
00:07:57:31
00:07:57:31
00:07:58:02
GOOD1* sehr gut
00:07:58:02
00:07:58:18
00:07:58:18
00:07:58:26
SUMMER14* sommer
00:07:58:26
00:07:58:39
00:07:58:39
00:07:58:47
OFTEN1A* oft
00:07:58:47
00:07:59:08
00:07:59:08
00:07:59:17
VERY2* sehr
00:07:59:17
00:07:59:25
00:07:59:25
00:07:59:47
GOOD1^* warm
00:07:59:47
00:08:00:37
00:08:00:37
00:08:01:01
It really is very warm.
00:08:01:01
00:08:01:15
WARM2B* warm
00:08:01:15
00:08:01:24
00:08:01:24
00:08:01:34
$GEST-OFF^
00:08:01:34
00:08:01:43
00:08:01:43
00:08:02:10
And we also don’t often get storms. They mostly pass us by.
00:08:02:10
00:08:02:24
AND1 und
00:08:02:24
00:08:02:49
00:08:02:49
00:08:03:05
$GEST-I-DONT-KNOW1^
00:08:03:05
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00:08:03:19
00:08:03:35
EXAMPLE2* beispiel
00:08:03:35
00:08:04:03
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00:08:04:09
ENVIRONMENT1* umweltkatastrophe
00:08:04:09
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00:08:04:13
00:08:04:33
TO-SPIN2B^*
00:08:04:33
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00:08:05:39
STORM1* sturm
00:08:05:39
00:08:06:35
00:08:06:35
00:08:07:11
OFTEN1A* oft oft
00:08:07:11
00:08:07:18
00:08:07:18
00:08:07:24
I1 unser
00:08:07:24
00:08:07:32
00:08:07:32
00:08:08:09
TERRITORY1* gebiet
00:08:08:09
00:08:08:36
00:08:08:36
00:08:10:00
TO-PASS-STH1* vorbei vorbei vorbei
00:08:10:00
00:08:11:39
00:08:11:39
00:08:11:45
$GEST-OFF^
00:08:11:45
00:08:12:11
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00:08:12:32
00:08:12:45
That’s true; there are very few storms. On average, only twenty per cent of destruction happens here.
00:08:12:45
00:08:13:01
RIGHT-OR-AGREED1A* stimmt
00:08:13:01
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RARELY2* selten
00:08:13:24
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YOU1*
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TO-SAY1^ sag
00:08:14:04
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WIND2* wind
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00:08:14:45
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STORM1* sturm
00:08:15:05
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PAST-OR-BACK-THEN1 früher
00:08:15:24
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00:08:15:35
ALWAYS5 immer
00:08:15:35
00:08:15:41
00:08:15:41
00:08:16:01
RIGHT-OR-AGREED1A* stimmt
00:08:16:01
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RARELY2* selten
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TO-SAY1^*
00:08:16:35
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APPROXIMATELY2* unge{fähr}
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$NUM-TENS1:2d zwanzig
00:08:17:16
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TO-TURN1A^* prozent
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APPROXIMATELY2
00:08:18:04
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TO-DESTROY1 zerstört
00:08:19:09
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00:08:19:18
00:08:19:26
Other than that, it’s mostly good.
00:08:19:26
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MORE1* mehr
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GOOD1* gut
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$GEST-OFF^
00:08:20:08
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I mean the grapes.
00:08:21:32
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TO-PICK3^* trauben
00:08:21:46
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GOOD1*
00:08:22:06
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00:08:25:01
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You can keep talking, I need to leave for a bit.
00:08:28:42
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This is our home. We’re typical people from the Palatinate.
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ALSO3A*
00:08:31:48
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I1^* für uns
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HOME-OR-HOMELAND4 heimat
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00:08:33:37
I1^
00:08:33:37
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TYPICAL2* typisch
00:08:34:33
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TO-BELONG1^*
00:08:34:45
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AREA1A^ pfälzer
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00:08:37:14
My mother was born in Thuringia, but I was born here.
00:08:37:14
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ALSO1A auch
00:08:37:24
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00:08:37:37
00:08:37:45
BEEN1 gewesen
00:08:37:45
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MY1 meine
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MOTHER2 mutter
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$INDEX1 in
00:08:39:25
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$ALPHA1:T thüringen
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$CUED-SPEECH*
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$INDEX1
00:08:40:25
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00:08:40:44
BIRTH1B geboren
00:08:40:44
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00:08:41:05
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DANGEROUS1A^
00:08:42:00
00:08:42:27
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BUT1* aber
00:08:42:35
00:08:42:41
00:08:42:41
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I1 ich
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IN1 in
00:08:43:19
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$ORAL^ pfalz
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BIRTH1B geboren
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My blood is two-thirds Palatinate.
00:08:45:09
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I1^ und
00:08:45:15
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MY2 mein
00:08:45:29
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TO-BE-IN-ONES-BLOOD1A^* blut
00:08:46:28
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00:08:47:15
IS1 ist
00:08:47:15
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$NUM-NUMERATOR1:2d zwei drittel
00:08:47:32
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$NUM-DENOMINATOR1:3d*
00:08:47:48
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00:08:48:21
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TO-BE-IN-ONES-BLOOD1A^* pfälzer
00:08:48:49
00:08:49:06
00:08:49:06
00:08:49:22
And one third Thuringian.
00:08:49:22
00:08:49:32
$NUM-NUMERATOR1:1d ein drittel
00:08:49:32
00:08:49:45
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00:08:50:07
$NUM-DENOMINATOR1:3d*
00:08:50:07
00:08:50:40
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$ALPHA1:T thüringer
00:08:51:04
00:08:51:24
00:08:51:24
00:08:51:44
00:08:51:44
00:08:52:08
Thuringia?
00:08:52:08
00:08:52:14
$CUED-SPEECH* thüringen
00:08:52:14
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00:08:52:34
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Yes, Thuringia.
00:08:53:00
00:08:53:03
$ALPHA1:T thüring{en}
00:08:53:03
00:08:53:12
00:08:53:12
00:08:53:32
AREA1A^
00:08:53:32
00:08:53:39
00:08:53:39
00:08:53:42
$INDEX1
00:08:53:42
00:08:54:05
Thuringia.
00:08:54:05
00:08:54:13
$CUED-SPEECH* thüringen
00:08:54:13
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00:08:54:17
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$INDEX1
00:08:54:44
00:08:55:23
00:08:55:23
00:08:55:36
In the east.
00:08:55:36
00:08:55:45
EAST1A* ost
00:08:55:45
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00:08:56:08
00:08:57:01
00:08:57:01
00:08:57:07
You?
00:08:57:07
00:08:57:21
YOU1* du
00:08:57:21
00:08:57:34
00:08:57:34
00:08:57:47
Yes.
00:08:57:47
00:08:59:29
$GEST-NM-NOD-HEAD1^
00:08:59:29
00:09:00:13
00:09:00:13
00:09:00:31
$GEST-NM^
00:09:00:31
00:09:01:46
00:09:01:46
00:09:11:39
00:09:11:39
00:09:39:34
You’ve already talked a bit about regional specialties, I mean, about #Name2 and Bush having food at that famous restaurant. Are there any other famous restaurants in your region?
00:09:39:34
00:09:39:47
Not really.
00:09:39:47
00:09:40:38
$GEST-NM-SHAKE-HEAD1^ nein
00:09:40:38
00:09:40:41
00:09:40:41
00:09:41:24
What’s typical in the Palatinate region are small lunch menus in different restaurants.
00:09:41:24
00:09:41:41
AREA1A^ pfalz
00:09:41:41
00:09:42:17
00:09:42:17
00:09:42:25
MOST1B meist
00:09:42:25
00:09:42:46
00:09:42:46
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CAN1^ typisch
00:09:43:05
00:09:43:26
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LIKE-THIS3 so
00:09:44:22
00:09:45:00
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00:09:45:09
ALSO3A auch
00:09:45:09
00:09:46:18
00:09:46:18
00:09:46:24
PART1B* teil
00:09:46:24
00:09:46:38
00:09:46:38
00:09:46:41
SMALL9* kleine
00:09:46:41
00:09:47:16
00:09:47:16
00:09:47:34
$ALPHA1:M* mediterran
00:09:47:34
00:09:48:07
00:09:48:07
00:09:48:13
TO-SWARM1^*RESTAURANT1*
00:09:48:13
00:09:48:14
00:09:48:14
00:09:48:38
TO-SWARM1^* restaurant
00:09:48:38
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LOCATION1A^*
00:09:49:24
00:09:50:03
00:09:50:03
00:09:50:09
There are many Italian, Greek and Turkish restaurants.
00:09:50:09
00:09:50:15
MAINLY1 vor allem
00:09:50:15
00:09:51:05
00:09:51:05
00:09:51:10
$INDEX1*
00:09:51:10
00:09:51:19
00:09:51:19
00:09:51:23
THERE-IS3* gibt
00:09:51:23
00:09:51:32
00:09:51:32
00:09:51:44
MUCH-OR-MANY1A* viele
00:09:51:44
00:09:51:46
00:09:51:46
00:09:52:19
$GEST^* italiener
00:09:52:19
00:09:52:36
00:09:52:36
00:09:52:46
LOCATION1A^*
00:09:52:46
00:09:53:22
AREA1A^
00:09:53:22
00:09:53:29
00:09:53:29
00:09:53:33
$LIST1:1of1
00:09:53:33
00:09:54:22
00:09:54:22
00:09:54:42
GREECE1* griechen
00:09:54:42
00:09:55:15
00:09:55:15
00:09:56:09
AREA1A^
00:09:56:09
00:09:56:33
00:09:56:33
00:09:56:38
AND5 und
00:09:56:38
00:09:56:44
00:09:56:44
00:09:57:00
MUCH-OR-MANY1A* viele
00:09:57:00
00:09:57:11
00:09:57:11
00:09:57:16
TURKEY1* türken
00:09:57:16
00:09:57:33
00:09:57:33
00:09:58:14
AREA1A^
00:09:58:14
00:09:59:15
00:09:59:15
00:09:59:31
But there are only few famous regional specialties.
00:09:59:31
00:09:59:39
$GEST-OFF^* aber
00:09:59:39
00:10:00:30
00:10:00:30
00:10:00:43
FAMOUS2B* berühmte
00:10:00:43
00:10:01:16
00:10:01:16
00:10:01:42
LOCATION1C* orte
00:10:01:42
00:10:02:12
00:10:02:12
00:10:02:18
TO-EAT-OR-FOOD2 essen
00:10:02:18
00:10:02:35
00:10:02:35
00:10:02:48
$GEST-I-DONT-KNOW1^ [MG]
00:10:02:48
00:10:02:49
00:10:02:49
00:10:03:40
Only the cities themselves.
00:10:03:40
00:10:04:06
ONLY4* nur
00:10:04:06
00:10:04:44
00:10:04:44
00:10:06:23
CITY2* stadt stadt stadt
00:10:06:23
00:10:06:29
00:10:06:29
00:10:06:43
Many know them by name, like Worms with the Nibelungen legend that I mentioned before.
00:10:06:43
00:10:07:07
EXAMPLE1^ wie
00:10:07:07
00:10:07:39
00:10:07:39
00:10:08:00
WELL-KNOWN2^* berühmt
00:10:08:00
00:10:08:21
00:10:08:21
00:10:08:34
QUOTATION-MARKS2^ name
00:10:08:34
00:10:09:06
00:10:09:06
00:10:09:17
$LIST1:1of1d
00:10:09:17
00:10:09:36
00:10:09:36
00:10:09:46
DIRECTION1^* worms
00:10:09:46
00:10:10:09
00:10:10:09
00:10:10:17
$LIST1:1of1d
00:10:10:17
00:10:10:27
00:10:10:27
00:10:10:35
THROUGH2A* durch
00:10:10:35
00:10:10:39
00:10:10:39
00:10:10:42
I1* ich
00:10:10:42
00:10:11:00
00:10:11:00
00:10:11:05
A-MOMENT-AGO1* eben
00:10:11:05
00:10:11:15
00:10:11:15
00:10:11:30
TO-SAY3* gesagt
00:10:11:30
00:10:11:47
00:10:11:47
00:10:12:09
$ALPHA1:M* nibelungen
00:10:12:09
00:10:12:16
00:10:12:16
00:10:12:36
$INDEX2*
00:10:12:36
00:10:12:45
00:10:12:45
00:10:13:05
Mainz is also very well known. It’s the capital of the federal state.
00:10:13:05
00:10:13:13
$LIST1:2of2d*
00:10:13:13
00:10:13:28
00:10:13:28
00:10:13:34
$GEST-ATTENTION1^*
00:10:13:34
00:10:13:43
00:10:13:43
00:10:14:35
MAINZ1* mainz
00:10:14:35
00:10:15:09
00:10:15:09
00:10:15:27
WELL-KNOWN2* bekannt
00:10:15:27
00:10:15:49
00:10:15:49
00:10:16:16
$LIST1:2of2d
00:10:16:16
00:10:16:34
00:10:16:34
00:10:16:49
MAINZ1* mainz
00:10:16:49
00:10:17:14
00:10:17:14
00:10:17:24
SELF1A* selbst
00:10:17:24
00:10:18:33
00:10:18:33
00:10:18:36
CITY2*
00:10:18:36
00:10:18:46
00:10:18:46
00:10:19:14
COUNTRY1A* landeshauptstadt
00:10:19:14
00:10:19:31
00:10:19:31
00:10:19:39
$MORPH-MAIN1A*
00:10:19:39
00:10:19:48
00:10:19:48
00:10:20:15
CITY2*
00:10:20:15
00:10:21:26
00:10:21:26
00:10:21:45
The federal government, with Kurt Beck as president, is based there.
00:10:21:45
00:10:22:03
THERE1 dort
00:10:22:03
00:10:22:16
00:10:22:16
00:10:22:38
GOVERNMENT1* regierung
00:10:22:38
00:10:22:47
00:10:22:47
00:10:23:04
FOR1* für
00:10:23:04
00:10:23:14
00:10:23:14
00:10:23:35
COUNTRY1A* landesregierung
00:10:23:35
00:10:23:44
00:10:23:44
00:10:24:17
GOVERNMENT1
00:10:24:17
00:10:24:28
00:10:24:28
00:10:24:33
$INDEX1
00:10:24:33
00:10:25:00
00:10:25:00
00:10:25:15
THROUGH2B* durch
00:10:25:15
00:10:25:29
00:10:25:29
00:10:25:39
$ALPHA1:T kurt beck
00:10:25:39
00:10:26:08
00:10:26:08
00:10:26:14
$NAME*
00:10:26:14
00:10:26:19
00:10:26:19
00:10:26:35
$NAME
00:10:26:35
00:10:26:46
00:10:26:46
00:10:27:06
$ALPHA1:K
00:10:27:06
00:10:27:39
00:10:27:39
00:10:28:23
Mainz was founded in Roman times.
00:10:28:23
00:10:28:39
$INDEX1*
00:10:28:39
00:10:28:47
00:10:28:47
00:10:29:14
AREA1A^ mainz
00:10:29:14
00:10:29:33
00:10:29:33
00:10:29:39
ALSO1A auch
00:10:29:39
00:10:30:14
00:10:30:14
00:10:30:45
HISTORY-OR-STORY1B geschichte
00:10:30:45
00:10:31:09
00:10:31:09
00:10:31:20
PAST1^*
00:10:31:20
00:10:31:44
00:10:31:44
00:10:32:09
TO-FOUND2 [MG]
00:10:32:09
00:10:32:27
00:10:32:27
00:10:32:38
THROUGH2B* durch
00:10:32:38
00:10:33:30
00:10:33:30
00:10:33:43
ROME1 römerzeit
00:10:33:43
00:10:34:05
00:10:34:05
00:10:34:31
TIME7C*
00:10:34:31
00:10:34:38
00:10:34:38
00:10:34:41
$GEST-OFF^
00:10:34:41
00:10:35:08
00:10:35:08
00:10:35:26
Back then, the Romans built a lot of cities along the Rhine.
00:10:35:26
00:10:35:38
ROME1* römer
00:10:35:38
00:10:36:10
00:10:36:10
00:10:36:27
HAVE-AUXILIARY1* haben
00:10:36:27
00:10:36:45
00:10:36:45
00:10:37:08
BORDER1A^* am rhein
00:10:37:08
00:10:37:20
00:10:37:20
00:10:37:23
$INDEX1*
00:10:37:23
00:10:37:32
00:10:37:32
00:10:37:37
MUCH-OR-MANY1A* viele
00:10:37:37
00:10:37:49
00:10:37:49
00:10:38:09
CITY2* städte
00:10:38:09
00:10:38:22
00:10:38:22
00:10:38:42
TO-PROMOTE1A^* errichtet
00:10:38:42
00:10:39:03
00:10:39:03
00:10:39:18
Among them were Mainz, Cologne and Worms.
00:10:39:18
00:10:39:27
IN-ADDITION1* dazu
00:10:39:27
00:10:39:37
00:10:39:37
00:10:39:43
ALSO1A auch
00:10:39:43
00:10:40:13
00:10:40:13
00:10:40:23
$LIST1:1of1d*
00:10:40:23
00:10:40:34
00:10:40:34
00:10:40:48
MAINZ1* mainz
00:10:40:48
00:10:41:02
00:10:41:02
00:10:41:15
$LIST1:1of1d
00:10:41:15
00:10:41:26
00:10:41:26
00:10:41:34
HORNS3A^* köln
00:10:41:34
00:10:41:43
00:10:41:43
00:10:41:48
$LIST1:2of2d*
00:10:41:48
00:10:42:31
00:10:42:31
00:10:43:05
$NUM-ONE-TO-TEN1A:2d$ALPHA1:W worms
00:10:43:05
00:10:43:12
Worms used to be named Wormatia. That’s what the soccer club is called today.
00:10:43:12
00:10:43:34
$ALPHA1:W* worms
00:10:43:34
00:10:43:46
00:10:43:46
00:10:44:10
THROUGH2B* durch
00:10:44:10
00:10:44:18
00:10:44:18
00:10:44:25
TOGETHER3B^* früher
00:10:44:25
00:10:44:36
00:10:44:36
00:10:44:44
OLD2C alter
00:10:44:44
00:10:45:10
00:10:45:10
00:10:45:38
HEADING1^* name
00:10:45:38
00:10:46:06
00:10:46:06
00:10:46:14
TODAY1* heute
00:10:46:14
00:10:46:25
00:10:46:25
00:10:46:40
SPORTS1^ fussball
00:10:46:40
00:10:46:46
00:10:46:46
00:10:47:11
SAME2A selbe
00:10:47:11
00:10:47:30
00:10:47:30
00:10:49:06
$ALPHA1:W-I-A-A wormatia
00:10:49:06
00:10:49:13
00:10:49:13
00:10:49:27
Cologne used to be called Colonia.
00:10:49:27
00:10:49:37
$LIST1:2of2d
00:10:49:37
00:10:50:08
00:10:50:08
00:10:50:23
COLOGNE1* köln
00:10:50:23
00:10:50:24
00:10:50:24
00:10:50:39
$GEST-NM-SHAKE-HEAD1^*
00:10:50:39
00:10:50:42
00:10:50:42
00:10:51:04
TO-CHANGE12* um
00:10:51:04
00:10:51:17
00:10:51:17
00:10:52:34
$ALPHA1:C-I-A-A colonia
00:10:52:34
00:10:52:45
00:10:52:45
00:10:53:10
I sadly don’t know the old name of Mainz.
00:10:53:10
00:10:53:33
$LIST1:3of3d
00:10:53:33
00:10:54:11
00:10:54:11
00:10:54:22
MAINZ1* mainz
00:10:54:22
00:10:54:25
00:10:54:25
00:10:54:33
$INDEX1*
00:10:54:33
00:10:54:38
00:10:54:38
00:10:54:47
PAST-OR-BACK-THEN1* früher
00:10:54:47
00:10:55:16
00:10:55:16
00:10:55:23
TO-KNOW-OR-KNOWLEDGE2A* weiß
00:10:55:23
00:10:55:31
00:10:55:31
00:10:55:39
NOT3B nicht
00:10:55:39
00:10:56:02
00:10:56:02
00:10:56:07
WHATS-THE-NAME-$CANDIDATE-FRA26^ name
00:10:56:07
00:10:56:14
00:10:56:14
00:10:56:25
HEADING1^*
00:10:56:25
00:10:56:43
00:10:56:43
00:10:56:47
UNFORTUNATELY2* leider
00:10:56:47
00:10:57:13
Moguntiacum.
00:10:57:13
00:10:58:18
00:10:58:18
00:11:00:38
00:11:00:38
00:11:01:26
00:11:01:26
00:11:01:36
Right, for example.
00:11:01:36
00:11:01:43
$INDEX2
00:11:01:43
00:11:02:06
00:11:02:06
00:11:02:26
EXAMPLE2* zum beispiel
00:11:02:26
00:11:03:22
00:11:03:22
00:11:03:43
My hometown #Name1 also has a small tourist attraction.
00:11:03:43
00:11:04:19
HERE1* auch
00:11:04:19
00:11:04:28
00:11:04:28
00:11:04:38
MY1*
00:11:04:38
00:11:05:01
00:11:05:01
00:11:05:07
HOME-OR-HOMELAND4 heimat
00:11:05:07
00:11:05:17
00:11:05:17
00:11:05:24
PRESENT-OR-HERE1^*
00:11:05:24
00:11:05:37
00:11:05:37
00:11:06:32
$NAME #name1
00:11:06:32
00:11:07:30
00:11:07:30
00:11:07:48
TO-HAVE-TO-OWN1* hat
00:11:07:48
00:11:09:06
00:11:09:06
00:11:09:16
MEASURE-VERTICAL-SMALLER2^ auch
00:11:09:16
00:11:09:22
00:11:09:22
00:11:09:30
$ORAL^ eine
00:11:09:30
00:11:09:31
00:11:09:31
00:11:10:01
SMALL9* kleine
00:11:10:01
00:11:10:16
00:11:10:16
00:11:10:24
WELL-KNOWN2* bekannte
00:11:10:24
00:11:10:36
00:11:10:36
00:11:11:08
COLOURS1B^* geschichte
00:11:11:08
00:11:11:33
00:11:11:33
00:11:12:02
There used to be a castle right where the German Catholic Church is located today.
00:11:12:02
00:11:12:12
$INDEX1
00:11:12:12
00:11:12:36
00:11:12:36
00:11:12:38
AND5* und
00:11:12:38
00:11:12:39
00:11:12:39
00:11:12:49
WHERE1B* wo
00:11:12:49
00:11:13:06
00:11:13:06
00:11:13:21
TODAY1* heute
00:11:13:21
00:11:14:03
00:11:14:03
00:11:14:17
LOCATION1B^* steht
00:11:14:17
00:11:15:02
00:11:15:02
00:11:15:09
GERMAN1* deutsche
00:11:15:09
00:11:15:42
00:11:15:42
00:11:16:17
CATHOLIC2 katholische
00:11:16:17
00:11:16:26
00:11:16:26
00:11:17:16
CHURCH2A kirche
00:11:17:16
00:11:17:39
00:11:17:39
00:11:18:00
$PROD*
00:11:18:00
00:11:18:11
00:11:18:11
00:11:18:22
$ORAL^ war
00:11:18:22
00:11:18:26
00:11:18:26
00:11:18:45
PAST-OR-BACK-THEN1* früher
00:11:18:45
00:11:19:23
00:11:19:23
00:11:20:33
BANK1^ schloss
00:11:20:33
00:11:20:41
00:11:20:41
00:11:21:02
The Austrian princess #Name5 used to live there.
00:11:21:02
00:11:21:08
AND5
00:11:21:08
00:11:21:19
00:11:21:19
00:11:21:32
PAST-OR-BACK-THEN1* früher
00:11:21:32
00:11:21:41
00:11:21:41
00:11:21:49
OFF1A^* damals
00:11:21:49
00:11:22:14
00:11:22:14
00:11:22:39
AUSTRIA1* österreichische
00:11:22:39
00:11:23:22
00:11:23:22
00:11:23:29
TALL2A^* fürstin
00:11:23:29
00:11:23:43
00:11:23:43
00:11:24:10
$NAME #name5
00:11:24:10
00:11:24:14
00:11:24:14
00:11:24:27
POINT1A^
00:11:24:27
00:11:24:47
00:11:24:47
00:11:25:05
$INDEX1
00:11:25:05
00:11:25:16
00:11:25:16
00:11:25:23
TO-SIT1A^* gewohnt
00:11:25:23
00:11:25:28
00:11:25:28
00:11:25:36
$INDEX1
00:11:25:36
00:11:26:10
00:11:26:10
00:11:26:23
It was her summer residence.
00:11:26:23
00:11:26:31
OFTEN1A* oft
00:11:26:31
00:11:26:45
00:11:26:45
00:11:27:11
VACATION6 als urlaub
00:11:27:11
00:11:27:20
00:11:27:20
00:11:27:33
$GEST-OFF^
00:11:27:33
00:11:28:15
00:11:28:15
00:11:28:32
#Name1 used to be/
00:11:28:32
00:11:28:41
LOCATION1A #name1
00:11:28:41
00:11:29:30
00:11:29:30
00:11:30:02
PAST-OR-BACK-THEN1* früher
00:11:30:02
00:11:30:28
00:11:30:28
00:11:30:35
$GEST-I-DONT-KNOW1^ [MG]
00:11:30:35
00:11:30:36
00:11:30:36
00:11:30:44
#Name1 is very, very old.
00:11:30:44
00:11:31:00
$INDEX1 #name1
00:11:31:00
00:11:31:18
00:11:31:18
00:11:31:42
VERY3* sehr sehr
00:11:31:42
00:11:32:07
00:11:32:07
00:11:32:23
OLD2C* alt
00:11:32:23
00:11:32:42
00:11:32:42
00:11:32:48
Almost 2000 years old.
00:11:32:48
00:11:33:04
$GEST-DECLINE1^* fast
00:11:33:04
00:11:33:09
00:11:33:09
00:11:33:16
$NUM-ONE-TO-TEN1A:2d zweitausend
00:11:33:16
00:11:33:26
00:11:33:26
00:11:33:36
$NUM-THOUSAND1
00:11:33:36
00:11:33:45
00:11:33:45
00:11:34:09
DIRTY3C^* jahre alt
00:11:34:09
00:11:34:19
00:11:34:19
00:11:35:28
$GEST-OFF^
00:11:35:28
00:11:35:49
00:11:35:49
00:11:36:14
There used to be a friary back then.
00:11:36:14
00:11:36:23
$INDEX1* und
00:11:36:23
00:11:36:37
00:11:36:37
00:11:37:13
$INDEX1* dahinter
00:11:37:13
00:11:37:38
00:11:37:38
00:11:38:01
PAST1^ gab
00:11:38:01
00:11:38:08
00:11:38:08
00:11:38:14
ALSO1A* auch
00:11:38:14
00:11:38:28
00:11:38:28
00:11:39:15
MONK1 mönchskloster
00:11:39:15
00:11:39:31
00:11:39:31
00:11:39:35
$INDEX1*
00:11:39:35
00:11:40:06
The entire area around #Name1 was a town back then.
00:11:40:06
00:11:40:15
$ORAL^ und
00:11:40:15
00:11:40:17
00:11:40:17
00:11:41:13
TERRITORY1* gebiet
00:11:41:13
00:11:41:27
00:11:41:27
00:11:41:38
$NAME #name1
00:11:41:38
00:11:42:02
00:11:42:02
00:11:42:06
$ORAL^ war
00:11:42:06
00:11:42:17
PAST-OR-BACK-THEN1* früher
00:11:42:17
00:11:42:24
00:11:42:24
00:11:42:36
TO-BELONG1^* eigen
00:11:42:36
00:11:42:48
00:11:42:48
00:11:43:18
CITY2 stadt
00:11:43:18
00:11:43:42
00:11:43:42
00:11:44:26
HEADING1*
00:11:44:26
00:11:45:28
00:11:45:28
00:11:45:44
The number of inhabitants was always fluctuating due to wars and famines.
00:11:45:44
00:11:46:03
AND5 und
00:11:46:03
00:11:46:09
00:11:46:09
00:11:46:17
THROUGH2A durch
00:11:46:17
00:11:46:26
00:11:46:26
00:11:46:34
WAR1A* krieg
00:11:46:34
00:11:47:11
00:11:47:11
00:11:47:17
AND5* und
00:11:47:17
00:11:47:26
00:11:47:26
00:11:47:38
HUNGER3 hungersnot
00:11:47:38
00:11:48:10
00:11:48:10
00:11:49:42
$PROD* [MG]
00:11:49:42
00:11:50:08
00:11:50:08
00:11:50:21
But today, #Name1 is the #Name4 district of the city of Ludwigshafen.
00:11:50:21
00:11:50:30
BUT1 aber
00:11:50:30
00:11:51:20
00:11:51:20
00:11:51:39
$INDEX1* #name1
00:11:51:39
00:11:52:21
00:11:52:21
00:11:52:28
SELF1A* selbst
00:11:52:28
00:11:52:36
00:11:52:36
00:11:52:42
ROUND6A^*
00:11:52:42
00:11:53:06
00:11:53:06
00:11:53:18
$NAME #name4
00:11:53:18
00:11:53:33
00:11:53:33
00:11:54:11
TO-SPLIT1A^* stadtteil
00:11:54:11
00:11:54:21
00:11:54:21
00:11:54:26
TO-BELONG1^*
00:11:54:26
00:11:54:37
00:11:54:37
00:11:55:06
LUNCH-OR-NOON3^ ludwigshafen
00:11:55:06
00:11:55:23
00:11:55:23
00:11:55:32
It has 22,000 inhabitants.
00:11:55:32
00:11:55:40
WITH1A mit
00:11:55:40
00:11:56:03
00:11:56:03
00:11:56:33
$NUM-DOUBLE1A:2 zweiundzwanzigtausend
00:11:56:33
00:11:56:46
00:11:56:46
00:11:57:09
$NUM-THOUSAND1
00:11:57:09
00:11:57:28
00:11:57:28
00:11:59:15
TO-SIT1A^ einwohner
00:11:59:15
00:11:59:45
00:11:59:45
00:12:00:30
The town has since lost its town privilege.
00:12:00:30
00:12:01:22
$INDEX1* #name1
00:12:01:22
00:12:02:00
00:12:02:00
00:12:02:09
MUST1A^* hat
00:12:02:09
00:12:02:19
00:12:02:19
00:12:02:32
HIS-HER1* sein
00:12:02:32
00:12:02:39
00:12:02:39
00:12:02:46
CITY2* stadtrecht
00:12:02:46
00:12:03:06
00:12:03:06
00:12:03:14
LAW-OR-JUSTICE1
00:12:03:14
00:12:03:25
00:12:03:25
00:12:04:27
TO-LOSE1 verloren
00:12:04:27
00:12:04:44
00:12:04:44
00:12:05:07
In 1880, B-A-S-F was founded within the town.
00:12:05:07
00:12:05:14
ATTENTION1A^*
00:12:05:14
00:12:05:22
00:12:05:22
00:12:05:37
BACK-THEN1* damals
00:12:05:37
00:12:05:49
00:12:05:49
00:12:06:08
MUST1A^ wurde
00:12:06:08
00:12:06:32
00:12:06:32
00:12:08:46
$NAME #name3
00:12:08:46
00:12:09:16
00:12:09:16
00:12:09:29
TO-FOUND2 gegründet
00:12:09:29
00:12:09:38
00:12:09:38
00:12:09:45
$PROD*
00:12:09:45
00:12:10:03
00:12:10:03
00:12:10:17
$NUM-TEEN2A:8d* achtzehnhundertachzig
00:12:10:17
00:12:10:21
00:12:10:21
00:12:10:35
$NUM-HUNDREDS1:1*
00:12:10:35
00:12:11:04
00:12:11:04
00:12:11:46
$NUM-TENS2A:8d*
00:12:11:46
00:12:12:31
00:12:12:31
00:12:12:45
#Name3 is almost 175 years old now.
00:12:12:45
00:12:13:02
$INDEX1 [MG]
00:12:13:02
00:12:13:07
00:12:13:07
00:12:14:02
$NAME #name3
00:12:14:02
00:12:14:08
00:12:14:08
00:12:14:15
IS1* ist
00:12:14:15
00:12:14:25
00:12:14:25
00:12:14:41
ALREADY1A* schon
00:12:14:41
00:12:14:47
00:12:14:47
00:12:15:14
SOON4* bald
00:12:15:14
00:12:15:25
00:12:15:25
00:12:15:37
$NUM-HUNDREDS1:1 hundertfünfundsiebzig
00:12:15:37
00:12:15:46
00:12:15:46
00:12:16:02
$NUM-ONE-TO-TEN1B:5
00:12:16:02
00:12:16:12
00:12:16:12
00:12:16:18
$NUM-ONE-TO-TEN1B:7d
00:12:16:18
00:12:16:23
00:12:16:23
00:12:16:36
DIRTY3C^* jahre
00:12:16:36
00:12:16:42
00:12:16:42
00:12:17:15
OUTDOORS1A^ alt
00:12:17:15
00:12:17:25
00:12:17:25
00:12:17:30
10 years ago they celebrated their anniversary.
00:12:17:30
00:12:17:36
$INDEX1
00:12:17:36
00:12:17:48
00:12:17:48
00:12:18:09
TO-CELEBRATE1A^ jubi{läum}
00:12:18:09
00:12:18:17
00:12:18:17
00:12:18:40
PAST1^* [MG]
00:12:18:40
00:12:19:06
00:12:19:06
00:12:19:20
APPROXIMATELY1^* vor
00:12:19:20
00:12:19:26
00:12:19:26
00:12:19:36
$NUM-YEAR-BEFORE-NOW1:10 zehn jahren
00:12:19:36
00:12:20:07
00:12:20:07
00:12:20:21
OVER2B^ schon
00:12:20:21
00:12:20:28
00:12:20:28
00:12:20:45
$INDEX4* abgelaufen
00:12:20:45
00:12:21:44
00:12:21:44
00:12:22:45
Through the foundation of B-A-S-F, it was decided to found the city of Ludwigshafen.
00:12:22:45
00:12:23:10
$INDEX1*
00:12:23:10
00:12:23:14
00:12:23:14
00:12:23:38
THROUGH2A durch
00:12:23:38
00:12:23:47
00:12:23:47
00:12:24:42
$NAME #name3
00:12:24:42
00:12:25:24
00:12:25:24
00:12:25:33
MUST1A^ wurde
00:12:25:33
00:12:26:06
00:12:26:06
00:12:26:11
LOCATION1B^*
00:12:26:11
00:12:26:19
00:12:26:19
00:12:26:28
EXPENSIVE1^* stadt
00:12:26:28
00:12:26:46
00:12:26:46
00:12:27:09
LUNCH-OR-NOON3^ ludwigshafen
00:12:27:09
00:12:27:29
00:12:27:29
00:12:27:49
TO-FOUND2 gegründe{t}
00:12:27:49
00:12:28:15
00:12:28:15
00:12:28:24
Oddly enough, it was the emperor from Kaiserslautern who signed the papers for the city foundation.
00:12:28:24
00:12:28:30
ATTENTION1A^
00:12:28:30
00:12:29:00
00:12:29:00
00:12:29:17
FUNNY1 lustig
00:12:29:17
00:12:29:34
00:12:29:34
00:12:30:04
TO-SIGN-A-FORM1C* unterschrift
00:12:30:04
00:12:30:21
00:12:30:21
00:12:31:13
AGREED1 einverstanden
00:12:31:13
00:12:31:38
00:12:31:38
00:12:32:06
THROUGH2B durch
00:12:32:06
00:12:32:21
00:12:32:21
00:12:32:46
WHAT1B^ wen
00:12:32:46
00:12:33:12
00:12:33:12
00:12:33:23
MUST1A^ durch
00:12:33:23
00:12:33:49
00:12:33:49
00:12:34:29
EMPEROR1B* kaiser
00:12:34:29
00:12:34:40
00:12:34:40
00:12:34:48
FROM1* aus
00:12:34:48
00:12:35:16
00:12:35:16
00:12:35:23
INTELLIGENT1^ kaiserslautern
00:12:35:23
00:12:35:30
00:12:35:30
00:12:35:46
HIS-HER1
00:12:35:46
00:12:36:12
00:12:36:12
00:12:36:34
$GEST-NM-NOD-HEAD1^
00:12:36:34
00:12:36:46
He gave his agreement.
00:12:36:46
00:12:37:02
SELF2* selbst
00:12:37:02
00:12:37:13
00:12:37:13
00:12:37:20
KING1B könig
00:12:37:20
00:12:37:36
00:12:37:36
00:12:38:10
TO-SIGN-A-FORM1A unterschrieben
00:12:38:10
00:12:38:31
00:12:38:31
00:12:38:41
Frederick the Great.
00:12:38:41
00:12:38:49
$LIST1:1of1d
00:12:38:49
00:12:39:09
00:12:39:09
00:12:39:32
$ALPHA1:F* friedrich
00:12:39:32
00:12:40:14
00:12:40:14
00:12:40:21
BIG6* der große
00:12:40:21
00:12:40:29
00:12:40:29
00:12:40:33
$LIST1:1of1d
00:12:40:33
00:12:41:06
00:12:41:06
00:12:41:21
The city was supposed to grow.
00:12:41:21
00:12:41:34
$LIST1:2of2d
00:12:41:34
00:12:42:05
00:12:42:05
00:12:42:20
THEN7*
00:12:42:20
00:12:42:37
00:12:42:37
00:12:42:49
$LIST1:2of2d dann
00:12:42:49
00:12:43:08
00:12:43:08
00:12:43:44
$INDEX1*
00:12:43:44
00:12:44:08
00:12:44:08
00:12:44:17
THEN7* dann
00:12:44:17
00:12:44:26
00:12:44:26
00:12:44:31
MUST1* muss
00:12:44:31
00:12:44:42
00:12:44:42
00:12:45:38
TO-GROW3* wieder wachsen
00:12:45:38
00:12:46:07
So three urban areas were included.
00:12:46:07
00:12:46:13
$INDEX1* und
00:12:46:13
00:12:46:23
00:12:46:23
00:12:47:06
TO-SWALLOW1* verschluckt
00:12:47:06
00:12:47:19
00:12:47:19
00:12:48:06
LOCATION1A* ??
00:12:48:06
00:12:48:07
00:12:48:07
00:12:48:17
So Friesenheim, Oppau, #Name1 and Rheingönheim were included.
00:12:48:17
00:12:48:37
$LIST1:1of1d friesenheim
00:12:48:37
00:12:48:47
00:12:48:47
00:12:49:13
YEAR1B^*
00:12:49:13
00:12:49:25
00:12:49:25
00:12:49:33
$LIST1:2of2d oppau
00:12:49:33
00:12:49:44
00:12:49:44
00:12:50:04
$ALPHA1:O*
00:12:50:04
00:12:50:25
$GEST^*
00:12:50:25
00:12:50:44
00:12:50:44
00:12:51:05
$LIST1:3of3d
00:12:51:05
00:12:51:18
00:12:51:18
00:12:52:08
$NAME #name1
00:12:52:08
00:12:52:31
00:12:52:31
00:12:54:05
$LIST1:4of4d
00:12:54:05
00:12:54:19
00:12:54:19
00:12:54:29
RHINE-RIVER1* rheingönheim
00:12:54:29
00:12:54:33
00:12:54:33
00:12:55:01
AREA1A*
00:12:55:01
00:12:55:26
00:12:55:26
00:12:55:44
TOGETHER7 [MG]
00:12:55:44
00:12:56:10
00:12:56:10
00:12:56:33
TO-SWALLOW1* verschluckt
00:12:56:33
00:12:56:42
00:12:56:42
00:12:57:11
Today, including all districts, Ludwigshafen has around 160,000 inhabitants.
00:12:57:11
00:12:57:21
TODAY1* heute
00:12:57:21
00:12:58:01
00:12:58:01
00:12:58:26
AREA1A ludwigshafen
00:12:58:26
00:12:58:45
00:12:58:45
00:12:59:08
TO-SIT1A^
00:12:59:08
00:12:59:24
00:12:59:24
00:12:59:31
WITH1A mit
00:12:59:31
00:12:59:40
00:12:59:40
00:12:59:46
TO-SPLIT1A^ stadtteil
00:12:59:46
00:13:00:14
AREA1D
00:13:00:14
00:13:00:24
00:13:00:24
00:13:01:04
EVERYTHING1B [MG]
00:13:01:04
00:13:01:28
00:13:01:28
00:13:02:13
APPROXIMATELY3A^ etwa
00:13:02:13
00:13:02:41
00:13:02:41
00:13:03:05
$NUM-HUNDREDS1:1d hundertsechzigtausend
00:13:03:05
00:13:03:18
00:13:03:18
00:13:03:35
$NUM-TENS2A:6d*
00:13:03:35
00:13:03:46
00:13:03:46
00:13:04:06
$NUM-THOUSANDS1:1
00:13:04:06
00:13:04:23
00:13:04:23
00:13:05:02
TO-SIT1A^ einwohner
00:13:05:02
00:13:05:19
00:13:05:19
00:13:06:18
For a long period of time the number of inhabitants of the town did not change.
00:13:06:18
00:13:07:00
LONG-TIME2 lange
00:13:07:00
00:13:07:08
But/ $INDEX1
00:13:07:08
00:13:07:17
SAME2A* dasselbe
00:13:07:17
00:13:07:24
BUT1^*
00:13:07:24
00:13:07:26
00:13:07:26
00:13:07:30
00:13:07:30
00:13:07:45
TO-COME2^* einwohner
00:13:07:45
00:13:07:48
The city has had some hard times, too.
00:13:07:48
00:13:08:21
00:13:08:21
00:13:08:31
BUT1* aber
00:13:08:31
00:13:09:16
00:13:09:16
00:13:09:24
BUT1
00:13:09:24
00:13:09:36
00:13:09:36
00:13:09:45
LUNCH-OR-NOON3^* ludwigshafen
00:13:09:45
00:13:10:02
00:13:10:02
00:13:10:12
BORDER1A^
00:13:10:12
00:13:10:23
00:13:10:23
00:13:10:32
HAVE-AUXILIARY1 hat
00:13:10:32
00:13:10:40
00:13:10:40
00:13:10:47
ALSO1A auch
00:13:10:47
00:13:11:29
00:13:11:29
00:13:11:34
$GEST-OFF^
00:13:11:34
00:13:12:00
00:13:12:00
00:13:12:17
BIG3A großes
00:13:12:17
00:13:12:26
00:13:12:26
00:13:12:46
THIS-AND-THAT1^* schicksal
00:13:12:46
00:13:13:01
00:13:13:01
00:13:13:25
TO-HAVE-TO-OWN1* gehabt
00:13:13:25
00:13:14:00
00:13:14:00
00:13:14:17
COLOURS1B^* geschich{te}
00:13:14:17
00:13:14:45
00:13:14:45
00:13:15:22
B-A-S-F used to have a huge chemistry factory in Ludwigshafen.
00:13:15:22
00:13:15:40
LOGICAL2* logisch
00:13:15:40
00:13:16:11
00:13:16:11
00:13:16:16
$INDEX1
00:13:16:16
00:13:16:36
00:13:16:36
00:13:17:11
$PROD* ludwigshafen
00:13:17:11
00:13:17:29
00:13:17:29
00:13:18:07
$NAME #name3
00:13:18:07
00:13:18:33
00:13:18:33
00:13:18:46
BIG3B*
00:13:18:46
00:13:19:06
00:13:19:06
00:13:19:31
CHEMISTRY2* chemiefabrik
00:13:19:31
00:13:20:00
00:13:20:00
00:13:20:24
BIG3B^*
00:13:20:24
00:13:20:42
00:13:20:42
00:13:21:07
During the times of National Socialism, industrial centres were always the first to be destroyed by bombs in the wars.
00:13:21:07
00:13:21:16
WAR1A* kriegszeit
00:13:21:16
00:13:21:32
00:13:21:32
00:13:21:48
TIME7A*
00:13:21:48
00:13:22:02
00:13:22:02
00:13:22:12
PAST-OR-BACK-THEN1* früher
00:13:22:12
00:13:22:21
00:13:22:21
00:13:22:33
NAZI2* nazi
00:13:22:33
00:13:23:06
00:13:23:06
00:13:23:14
$INDEX1
00:13:23:14
00:13:23:34
00:13:23:34
00:13:23:48
ALWAYS4A immer
00:13:23:48
00:13:24:04
00:13:24:04
00:13:24:20
FIRST1A zuerst
00:13:24:20
00:13:24:38
00:13:24:38
00:13:25:12
ECONOMY1B wirtschaft
00:13:25:12
00:13:25:34
00:13:25:34
00:13:26:01
INDUSTRY4* industrie
00:13:26:01
00:13:26:19
00:13:26:19
00:13:27:22
TO-DESTROY1 [MG]
00:13:27:22
00:13:27:42
00:13:27:42
00:13:28:39
TO-THROW1^* bomben
00:13:28:39
00:13:28:41
00:13:28:41
00:13:28:46
Everything had to be rebuilt again.
00:13:28:46
00:13:29:02
$LIST1:1of1d
00:13:29:02
00:13:29:25
00:13:29:25
00:13:29:31
MUST1* muss
00:13:29:31
00:13:29:38
00:13:29:38
00:13:29:49
ONCE-MORE2B* wieder
00:13:29:49
00:13:30:02
00:13:30:02
00:13:30:44
TO-BUILD-UP2 aufbauen
00:13:30:44
00:13:31:01
00:13:31:01
00:13:31:08
Sad things also happened in Ludwigshafen between 1920 and 1924.
00:13:31:08
00:13:31:14
$LIST1:2of2d
00:13:31:14
00:13:31:35
00:13:31:35
00:13:31:42
$INDEX1*
00:13:31:42
00:13:32:04
00:13:32:04
00:13:32:15
LUNCH-OR-NOON3^* ludwigshafen
00:13:32:15
00:13:32:36
00:13:32:36
00:13:32:40
SAD6* traurige
00:13:32:40
00:13:33:14
00:13:33:14
00:13:33:28
TIME7A* zeit
00:13:33:28
00:13:33:36
00:13:33:36
00:13:33:45
OFF1A^* war
00:13:33:45
00:13:34:03
00:13:34:03
00:13:34:22
$NUM-TEEN2A:1* neunzehnhundertvierundzwanzig
00:13:34:22
00:13:34:39
$NUM-HUNDREDS1:1*
00:13:34:39
00:13:35:01
00:13:35:01
00:13:35:08
$NUM-ONE-TO-TEN1B:4
00:13:35:08
00:13:35:24
00:13:35:24
00:13:35:36
$NUM-TENS4B:2d*
00:13:35:36
00:13:36:40
00:13:36:40
00:13:37:06
AND1 und
00:13:37:06
00:13:37:15
00:13:37:15
00:13:37:26
$NUM-HUNDREDS1:1* neunzehnhundertzwanzig
00:13:37:26
00:13:37:34
00:13:37:34
00:13:37:40
$NUM-TENS2A:2d*
00:13:37:40
00:13:38:03
00:13:38:03
00:13:38:32
ALSO3A auch
00:13:38:32
00:13:39:00
00:13:39:00
00:13:39:05
Back then, chemistry factories didn’t really pay much attention to safety precautions.
00:13:39:05
00:13:39:19
THROUGH2B durch
00:13:39:19
00:13:40:00
00:13:40:00
00:13:40:06
$INDEX1*
00:13:40:06
00:13:40:25
00:13:40:25
00:13:40:41
BACK-THEN1 damals
00:13:40:41
00:13:41:00
00:13:41:00
00:13:42:04
CHEMISTRY2* chemie
00:13:42:04
00:13:42:18
00:13:42:18
00:13:42:31
$ORAL^ noch nicht
00:13:42:31
00:13:42:39
00:13:42:39
00:13:42:45
SECURE1* sicher
00:13:42:45
00:13:43:14
00:13:43:14
00:13:44:11
TO-LOOK-AFTER-SB1B* aufpassen
00:13:44:11
00:13:44:27
00:13:44:27
00:13:44:35
SECURE1* sicherheit
00:13:44:35
00:13:44:44
00:13:44:44
00:13:45:06
NO3B^
00:13:45:06
00:13:45:41
00:13:45:41
00:13:46:06
The factory was built close to the town of Oppau. One day, there was a huge explosion.
00:13:46:06
00:13:46:08
$INDEX1
00:13:46:08
00:13:46:26
00:13:46:26
00:13:46:37
TOGETHER6* zu nah
00:13:46:37
00:13:47:02
00:13:47:02
00:13:47:10
BUILDING-OR-CONSTRUCTION1 bauen
00:13:47:10
00:13:47:27
00:13:47:27
00:13:47:39
AT-OR-ON1C* bei
00:13:47:39
00:13:47:49
00:13:47:49
00:13:48:03
$ALPHA1:O oppau
00:13:48:03
00:13:48:22
00:13:48:22
00:13:48:30
LOCATION1A^
00:13:48:30
00:13:48:35
00:13:48:35
00:13:49:30
AREA1A^ ortsgemeinschaft
00:13:49:30
00:13:50:30
00:13:50:30
00:13:50:42
HEAVY1C schwere
00:13:50:42
00:13:51:01
00:13:51:01
00:13:51:22
EXPLOSION1* explosion
00:13:51:22
00:13:52:18
00:13:52:18
00:13:52:29
Half of Oppau’s inhabitants died, and half the town was destroyed during that explosion.
00:13:52:29
00:13:52:32
$INDEX1
00:13:52:32
00:13:52:47
00:13:52:47
00:13:53:11
HALF1A* halb
00:13:53:11
00:13:53:30
00:13:53:30
00:13:54:15
AREA1A^ oppau
00:13:54:15
00:13:54:26
00:13:54:26
00:13:54:39
DEATH3 [MG]
00:13:54:39
00:13:55:03
00:13:55:03
00:13:55:18
HALF3* halbe
00:13:55:18
00:13:55:30
00:13:55:30
00:13:55:39
CITY2* stadt
00:13:55:39
00:13:55:46
00:13:55:46
00:13:56:03
HALF3* halb
00:13:56:03
00:13:56:22
00:13:56:22
00:13:57:13
TO-DESTROY1 [MG]
00:13:57:13
00:13:57:26
00:13:57:26
00:13:57:42
Within three thousand meters, a huge crater formed.
00:13:57:42
00:13:58:09
OPEN-ON-TOP1^* krater
00:13:58:09
00:13:58:18
00:13:58:18
00:13:58:24
$INDEX1
00:13:58:24
00:13:59:00
00:13:59:00
00:13:59:16
$NUM-THOUSANDS1:3d* dreitausend
00:13:59:16
00:13:59:25
00:13:59:25
00:13:59:30
METRE1* meter
00:13:59:30
00:13:59:34
00:13:59:34
00:14:01:02
ROUND3A^ umkreis
00:14:01:02
00:14:01:11
00:14:01:11
00:14:02:03
$GEST-NM-NOD-HEAD1^
00:14:02:03
00:14:02:08
00:14:02:08
00:14:02:24
The district of Oppau was then rebuilt elsewhere.
00:14:02:24
00:14:02:32
AND5*
00:14:02:32
00:14:03:00
00:14:03:00
00:14:03:08
$INDEX1* oppau
00:14:03:08
00:14:03:21
00:14:03:21
00:14:03:30
MUST1 muss
00:14:03:30
00:14:04:05
00:14:04:05
00:14:04:25
NEW1A neu
00:14:04:25
00:14:04:43
00:14:04:43
00:14:04:48
BODY3^* ortsteil
00:14:04:48
00:14:05:05
00:14:05:05
00:14:05:12
ROUND2^
00:14:05:12
00:14:05:25
00:14:05:25
00:14:05:40
BUILDING-OR-CONSTRUCTION1* bauen
00:14:05:40
00:14:06:07
00:14:06:07
00:14:07:01
TO-MOVE-STH1* versetzen
00:14:07:01
00:14:08:00
00:14:08:00
00:14:08:16
Yes, that’s also part of history.
00:14:08:16
00:14:08:26
$GEST-OFF^ [MG]
00:14:08:26
00:14:09:02
00:14:09:02
00:14:09:08
ALSO1A* auch
00:14:09:08
00:14:09:15
00:14:09:15
00:14:09:37
HISTORY-OR-STORY1B geschichte
00:14:09:37
00:14:09:47
00:14:09:47
00:14:10:02
$INDEX2*
00:14:10:02
00:14:11:05
00:14:11:05
00:14:11:13
$GEST-OFF^
00:14:11:13
00:14:11:33
00:14:11:33
00:14:25:20
What do you show to your friends when they come visit you in your hometown?
00:14:25:20
00:14:26:33
00:14:26:33
00:14:26:49
When friends visit me/
00:14:26:49
00:14:27:15
I1* ich
00:14:27:15
00:14:27:32
00:14:27:32
00:14:28:02
AREA1A^ meine
00:14:28:02
00:14:28:17
00:14:28:17
00:14:28:43
FRIEND3 freunde
00:14:28:43
00:14:29:21
00:14:29:21
00:14:29:28
$GEST-I-DONT-KNOW1^* [MG]
00:14:29:28
00:14:30:00
00:14:30:00
00:14:30:41
Well, then we don’t usually go sight seeing or to the museum.
00:14:30:41
00:14:31:01
USUALLY1*
00:14:31:01
00:14:31:18
00:14:31:18
00:14:31:31
TO-VISIT-OR-TO-ATTEND1^ besuch
00:14:31:31
00:14:31:47
00:14:31:47
00:14:32:22
TO-LOOK-AT4^ museum
00:14:32:22
00:14:32:45
00:14:32:45
00:14:33:13
OR6B* oder
00:14:33:13
00:14:33:30
00:14:33:30
00:14:33:38
WELL-KNOWN4* bekannt
00:14:33:38
00:14:34:04
00:14:34:04
00:14:34:15
HOTEL1^* [MG]
00:14:34:15
00:14:34:28
00:14:34:28
00:14:34:32
TO-ADJUST3^* oder
00:14:34:32
00:14:34:39
00:14:34:39
00:14:34:44
END1^
00:14:34:44
00:14:35:17
00:14:35:17
00:14:35:23
END1^
00:14:35:23
00:14:35:33
00:14:35:33
00:14:35:44
ANYTHING1* was
00:14:35:44
00:14:35:47
00:14:35:47
00:14:36:34
$GEST-NM-SHAKE-HEAD1^
00:14:36:34
00:14:36:43
00:14:36:43
00:14:37:13
NO2B* nein
00:14:37:13
00:14:37:22
00:14:37:22
00:14:37:39
Usually, we just sit around privately and socialize.
00:14:37:39
00:14:37:45
MOST1A* meist{ens}
00:14:37:45
00:14:38:01
00:14:38:01
00:14:38:16
PRIVATE2B privat
00:14:38:16
00:14:38:24
00:14:38:24
00:14:38:37
GROUP1A^*
00:14:38:37
00:14:39:15
00:14:39:15
00:14:39:24
IN-ORDER-THAT1* damit
00:14:39:24
00:14:39:44
00:14:39:44
00:14:40:20
TO-SIT-IN-A-CIRCLE1* geselligkeit
00:14:40:20
00:14:40:42
00:14:40:42
00:14:41:16
The Palatinate people are known for being a funny bunch.
00:14:41:16
00:14:41:25
CLEAR1A klar
00:14:41:25
00:14:42:05
00:14:42:05
00:14:42:13
$INDEX1
00:14:42:13
00:14:42:23
00:14:42:23
00:14:42:42
AREA1A^ pfalz
00:14:42:42
00:14:43:02
00:14:43:02
00:14:43:07
TO-HAVE-TO-OWN1* hat
00:14:43:07
00:14:43:20
00:14:43:20
00:14:43:36
TO-SHOUT1A* ruf
00:14:43:36
00:14:44:13
00:14:44:13
00:14:44:44
FUNNY1 ein lustiges volk
00:14:44:44
00:14:45:04
00:14:45:04
00:14:45:27
AREA1A^
00:14:45:27
00:14:45:37
00:14:45:37
00:14:46:07
WHY8^ zu sein
00:14:46:07
00:14:46:15
00:14:46:15
00:14:46:48
$GEST-OFF^*
00:14:46:48
00:14:47:00
00:14:47:00
00:14:47:16
$GEST-NM-NOD-HEAD1^
00:14:47:16
00:14:47:24
Moderator asks for free time activities in the area.
00:14:47:24
00:14:48:34
00:14:48:34
00:14:49:04
00:14:49:04
00:14:49:32
Yes, usually at a pub.
00:14:49:32
00:14:49:40
MOST1A* meist{ens}
00:14:49:40
00:14:49:49
00:14:49:49
00:14:50:40
PUB2 wirtschaft
00:14:50:40
00:14:51:11
00:14:51:11
00:14:58:05
00:14:58:05
00:14:59:20
00:14:59:20
00:14:59:26
I/
00:14:59:26
00:14:59:35
I1 ich
00:14:59:35
00:15:00:07
00:15:00:07
00:15:00:25
I1^ ??
00:15:00:25
00:15:01:16
00:15:01:16
00:15:01:32
I also have good friends who sometimes come to visit me and bring along family members, as well. TO-HAVE-TO-OWN1* ich habe
00:15:01:32
00:15:01:43
00:15:01:43
00:15:02:19
ALSO1A auch
00:15:02:19
00:15:03:31
00:15:03:31
00:15:03:35
GOOD1 gute
00:15:03:35
00:15:03:38
00:15:03:38
00:15:03:41
I2^
00:15:03:41
00:15:04:00
00:15:04:00
00:15:04:18
FRIEND3 freunde
00:15:04:18
00:15:05:28
00:15:05:28
00:15:06:05
DIFFERENT2$NUM-ONE-TO-TEN1A:3d* noch andere
00:15:06:05
00:15:06:23
00:15:06:23
00:15:06:33
ALSO1A auch
00:15:06:33
00:15:06:44
00:15:06:44
00:15:07:06
PART1B teil
00:15:07:06
00:15:07:17
00:15:07:17
00:15:07:24
WITH1A mit
00:15:07:24
00:15:07:32
00:15:07:32
00:15:08:11
FAMILY3* familie
00:15:08:11
00:15:09:04
00:15:09:04
00:15:09:27
TO-VISIT-OR-TO-ATTEND1B* mich besuch
00:15:09:27
00:15:10:00
00:15:10:00
00:15:10:10
TO-INVITE2 einladen
00:15:10:10
00:15:10:15
00:15:10:15
00:15:10:21
$GEST-OFF^
00:15:10:21
00:15:11:12
00:15:11:12
00:15:11:22
I make plans even before they come to visit.
00:15:11:22
00:15:11:27
I1 ich
00:15:11:27
00:15:11:41
00:15:11:41
00:15:11:48
SELF1A* selbst
00:15:11:48
00:15:12:07
00:15:12:07
00:15:12:15
ALREADY1A* schon
00:15:12:15
00:15:12:22
00:15:12:22
00:15:12:43
BEFOREHAND4* vorher
00:15:12:43
00:15:13:04
00:15:13:04
00:15:13:13
TO-VISIT-OR-TO-ATTEND1A* besuch
00:15:13:13
00:15:13:36
00:15:13:36
00:15:14:02
TO-PONDER2 über{legen}
00:15:14:02
00:15:14:15
00:15:14:15
00:15:14:33
PLAN2* plan
00:15:14:33
00:15:14:42
00:15:14:42
00:15:15:06
TO-MAKE3 machen
00:15:15:06
00:15:16:18
00:15:16:18
00:15:16:31
When they’re there, I suggest trips one could go on.
00:15:16:31
00:15:16:38
$ORAL^ wenn
00:15:16:38
00:15:16:41
00:15:16:41
00:15:16:49
TO-VISIT-OR-TO-ATTEND1A* besuch
00:15:16:49
00:15:17:13
00:15:17:13
00:15:17:29
PRESENT-OR-HERE2* da
00:15:17:29
00:15:17:46
00:15:17:46
00:15:18:02
THEN7* dann
00:15:18:02
00:15:18:09
00:15:18:09
00:15:18:23
IF2* ob
00:15:18:23
00:15:18:37
00:15:18:37
00:15:18:41
I2^ wir
00:15:18:41
00:15:19:00
00:15:19:00
00:15:19:31
GO-START4^* ausflug
00:15:19:31
00:15:19:34
00:15:19:34
00:15:20:16
$ORAL^ fahren
00:15:20:16
00:15:20:34
00:15:20:34
00:15:20:46
To the Speyer Cathedral, for example.
00:15:20:46
00:15:21:09
IF2 ob
00:15:21:09
00:15:21:25
00:15:21:25
00:15:21:38
TO-PLACE1 nach
00:15:21:38
00:15:22:05
00:15:22:05
00:15:22:10
AWARD2^* speyer
00:15:22:10
00:15:22:25
00:15:22:25
00:15:22:33
$LIST1:1of1d
00:15:22:33
00:15:22:48
00:15:22:48
00:15:23:11
SPIKY2A^ dom
00:15:23:11
00:15:23:22
00:15:23:22
00:15:23:49
TO-SHOW1A* zeigen
00:15:23:49
00:15:24:49
00:15:24:49
00:15:25:07
And then I show them the technical museum next door.
00:15:25:07
00:15:25:15
$LIST1:2of2d dann
00:15:25:15
00:15:25:25
00:15:25:25
00:15:25:49
NEXT-TO1B nebenan
00:15:25:49
00:15:26:47
00:15:26:47
00:15:27:27
TECHNOLOGY1* technisches museum
00:15:27:27
00:15:27:36
00:15:27:36
00:15:28:05
MUSEUM1
00:15:28:05
00:15:28:11
00:15:28:11
00:15:28:14
$GEST-OFF^
00:15:28:14
00:15:30:03
00:15:30:03
00:15:30:23
The next day we continue.
00:15:30:23
00:15:30:33
$LIST1:3of3d und dann
00:15:30:33
00:15:30:45
00:15:30:45
00:15:31:14
MORE1* noch mehr
00:15:31:14
00:15:31:19
00:15:31:19
00:15:32:25
$LIST1:4of4d
00:15:32:25
00:15:32:41
00:15:32:41
00:15:33:00
ALSO1C* auch
00:15:33:00
00:15:33:11
00:15:33:11
00:15:33:17
NAME1B^* einen
00:15:33:17
00:15:33:26
00:15:33:26
00:15:33:32
DAY1A* tag
00:15:33:32
00:15:33:40
00:15:33:40
00:15:34:12
LATER10* später
00:15:34:12
00:15:35:17
00:15:35:17
00:15:35:24
If there are children in the group, I always suggest the high rope course in Haßloch.
00:15:35:24
00:15:35:31
BUT1^ wenn
00:15:35:31
00:15:35:45
00:15:35:45
00:15:36:20
FAMILY3* familie
00:15:36:20
00:15:36:31
00:15:36:31
00:15:36:37
WITH1A* mit
00:15:36:37
00:15:36:38
00:15:36:38
00:15:36:46
$ORAL^ enkelkinder
00:15:36:46
00:15:37:01
00:15:37:01
00:15:37:11
CHILD2
00:15:37:11
00:15:37:20
00:15:37:20
00:15:37:31
PRESENT-OR-HERE1 da
00:15:37:31
00:15:37:48
00:15:37:48
00:15:38:08
GOOD1* auch
00:15:38:08
00:15:38:18
00:15:38:18
00:15:38:21
I2
00:15:38:21
00:15:38:25
00:15:38:25
00:15:38:46
PLAN2* plan
00:15:38:46
00:15:39:13
00:15:39:13
00:15:39:22
ALSO1A* auch
00:15:39:22
00:15:39:34
00:15:39:34
00:15:40:01
CAN2A* könnte
00:15:40:01
00:15:40:22
00:15:40:22
00:15:40:35
TO-PLACE1 nach
00:15:40:35
00:15:41:06
00:15:41:06
00:15:41:13
$NAME haßloch
00:15:41:13
00:15:41:41
00:15:41:41
00:15:41:46
$INDEX-ORAL1 hochseilpark
00:15:41:46
00:15:42:07
00:15:42:07
00:15:42:14
UNTIL1^
00:15:42:14
00:15:42:26
00:15:42:26
00:15:42:38
TO-TURN7^*
00:15:42:38
00:15:43:44
00:15:43:44
00:15:44:33
That would be an option.
00:15:44:33
00:15:44:43
$GEST-OFF^ [MG]
00:15:44:43
00:15:45:03
00:15:45:03
00:15:45:31
$ORAL^ könnte machen
00:15:45:31
00:15:45:43
Moderator asks about the technical museum.
00:15:45:43
00:15:46:08
00:15:46:08
00:15:51:09
00:15:51:09
00:15:51:10
Planes and ships/
00:15:51:10
00:15:51:28
$GEST-TO-PONDER1^*
00:15:51:28
00:15:51:43
00:15:51:43
00:15:52:06
AIRPLANE1* flugzeug
00:15:52:06
00:15:52:16
00:15:52:16
00:15:52:24
$LIST1:3of3d
00:15:52:24
00:15:52:37
In Sinsheim? There are two.
00:15:52:37
00:15:53:05
SHIP1 sch{iff}
00:15:53:05
00:15:53:47
00:15:53:47
00:15:54:15
00:15:54:15
00:15:54:26
There is one in both cities.
00:15:54:26
00:15:54:31
$NUM-ONE-TO-TEN1A:2d zwei
00:15:54:31
00:15:54:37
00:15:54:37
00:15:55:15
$INDEX1*
00:15:55:15
00:15:55:19
In Speyer, too.
00:15:55:19
00:15:55:28
00:15:55:28
00:15:55:31
$NUM-ONE-TO-TEN1A:2d
00:15:55:31
00:15:55:41
RIGHT-OR-AGREED1B*
00:15:55:41
00:15:56:07
00:15:56:07
00:15:57:09
AWARD2^* stimmt speyer
00:15:57:09
00:15:57:28
00:15:57:28
00:15:57:37
00:15:57:37
00:15:57:47
00:15:57:47
00:15:58:08
ALSO1A* auch
00:15:58:08
00:15:59:03
00:15:59:03
00:15:59:36
Right, there’s one in Speyer and another in Sinsheim.
00:15:59:36
00:16:00:12
AWARD2^* speyer
00:16:00:12
00:16:01:13
00:16:01:13
00:16:03:24
00:16:03:24
00:16:03:40
Yes, exactly, there are two.
00:16:03:40
00:16:03:48
$NUM-ONE-TO-TEN1A:2d zwei
00:16:03:48
00:16:04:18
00:16:04:18
00:16:05:16
$GEST-NM-NOD-HEAD1^*
00:16:05:16
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I just talked about the fact that/
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$GEST^* eben
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00:16:06:29
I2*
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QUESTION1^* gesagt
00:16:07:00
00:16:07:11
00:16:07:11
00:16:07:18
In Speyer, there’s also an aquarium where one can look at all the fish.
00:16:07:18
00:16:07:25
$LIST1:1of2d
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00:16:07:29
AND1* und
00:16:07:29
00:16:07:35
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AWARD2^* speyer
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00:16:08:10
OFF1A^* hat
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ALSO3A* auch
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00:16:08:48
00:16:08:48
00:16:09:41
$ALPHA1:O* aqua{rium}
00:16:09:41
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00:16:10:27
TO-LOOK-AT4^ besichtigen
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ANGLE1^*
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FISH1* fisch
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00:16:11:31
00:16:11:31
00:16:11:42
$LIST1:3of3d*
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00:16:12:02
00:16:12:02
00:16:12:24
TO-DIVE3 [MG]
00:16:12:24
00:16:12:27
The Sea Life, yes, Sea Life.
00:16:12:27
00:16:12:38
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ROUND3A^* ??
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ALPHABET1^* sea life
00:16:13:18
00:16:13:19
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$GEST-NM-NOD-HEAD1^
00:16:13:31
00:16:13:33
00:16:13:33
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00:16:14:01
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$INDEX-ORAL1 sea life
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00:16:14:25
00:16:14:25
00:16:15:06
ALPHABET1^*
00:16:15:06
00:16:15:15
00:16:15:15
00:16:15:20
$GEST-OFF^
00:16:15:20
00:16:16:46
00:16:16:46
00:16:17:09
00:16:17:09
00:16:17:13
I’ve been to the Sea Life aquarium in Speyer that you just talked about before.
00:16:17:13
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$ORAL^ auch
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00:16:17:27
YOU1* du
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00:16:18:00
LANGUAGE1^ erzählt
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$INDEX1 speyer
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BODY3^
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THERE-IS3* gibt
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ALSO1A* auch
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00:16:19:29
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ALPHABET1^* sea life
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00:16:20:31
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FISH2 fisch
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$PROD* aquarium
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I1 ich war
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ALREADY1A* schon
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THERE1 dort
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00:16:24:33
But I was a bit disappointed by it.
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I1 ich
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$ORAL^ bin
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STH-OR-SLIGHTLY3* etwas
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DISAPPOINTED6* enttäuscht
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I1^
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It was a little too small.
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BECAUSE1 weil
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STH-OR-SLIGHTLY3 etwas
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SMALL6 zu klein
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$INDEX1*
00:16:31:33
00:16:31:42
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00:16:31:46
A long time ago, I went to the Lake Constance.
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I1* ich war
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ALREADY1A schon
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TIMES3* einmal
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ALREADY1A schon lange
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BEFORE1H^
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$INDEX1
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ON-OR-AT1* am
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LAKE-CONSTANCE1 bodensee
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AGAINST2^
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In Constance, a new Sea Life had just been opened.
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CONSTANCE-$CANDIDATE-FRA38^ konstanz
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$INDEX1*
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THERE1 dort
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ALREADY1A schon
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WAS1 war
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BUT1 aber
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OPENING1 eröff{nung}
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I2
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TO-JOIN1A^* [MG]
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That was significantly bigger than the one in Speyer.
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$CUED-SPEECH*
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VERY7^* [MG]
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BIG3B größer
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AS-OR-THAN3 als
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$INDEX1 speyer
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Of course they would’ve liked the one in Speyer to be bigger, but it’s also a question of funding.
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$INDEX1
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ALWAYS5* immer
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CLEAR1A* klar
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$INDEX1
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AWARD2^* speyer
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$INDEX1
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BEFORE1G vorher
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$INDEX1
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TO-FOUND2* [MG]
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AREA1A^*
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TO-LIKE4* möchte
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GLADLY1* gern
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BIG3B groß
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$ORAL^ aber
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EXPENSIVE2*
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The Sea Life is sponsored through public sector entities that have very little money themselves.
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THE1 das wird
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$GEST-OFF^
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TO-CARRY1* getragen
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TO-OPEN4^ öffentlich
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ATTENTION1A^* stellen
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TO-OPEN4^ öffen{tliche} stellen
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$INDEX1*
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SELF1A* selbst
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TO-ORGANISE1 organisieren
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One of the disadvantages of Rhineland Palatinate is it being a recipient state.
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$GEST-OFF^ [MG]
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CLEAR1A klar
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ATTENTION1A^* [MG]
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AREA1A^* rheinland-pfalz
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UNFORTUNATELY1* leider
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TO-TAKE1A nehmerland
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AREA1A^*
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That means, there are rich federal states like Bavaria, Baden Wuerttemberg or Hesse.
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MEAN-OR-BE-CALLED1B* heißt
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AREA1A^*
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VALUE1B^ reich
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AREA1A^* bundesländer
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EXAMPLE1^ wie
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$LIST1:1of1d
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BAVARIA1* bayern
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$LIST1:1of1d
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$LIST1:2of2d
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BADEN-WUERTTEMBERG1*
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$INDEX1*
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$$EXTRA-LING-ACT^
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BADEN-WUERTTEMBERG1* baden württemberg
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$INDEX1
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$LIST1:3of3d
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HESSE1A* hessen
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HERE1*
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$NUM-ONE-TO-TEN1A:3dROUND3A^
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RICH7* reich
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$LIST-TOGETHER1C:1-3of3d
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They have to pay compensations to poorer states.
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$INDEX1* die
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MUST1 müssen
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COMPENSATION2 ausgleichszahlung
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TO-PAY8*
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ON-OBJECT1* auf
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ARM1A^ arme
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COUNTRY1A länder
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TO-PAY2*
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$GEST-OFF^
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Rhineland-Palatinate is also dependent on it because there’s too little economy there.
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AREA1A^* rheinland-pfalz
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ALSO3A* auch
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DEPENDENT5A* abhängig
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$INDEX1AREA1A^
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BECAUSE1* weil
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ECONOMY1B wirtschaft
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WATER3B^ zu wenig
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AREA1A^
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00:17:31:49
For example, here, there’s only Ludwigshafen close by.
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HERE1*
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ONLY4 nur
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TIGHT3* enger
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TIGHT1
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BORDER1B grenze
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LIKE4A* wie
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AREA1A^ ludwigshafen
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EXAMPLE2 beispielsweise
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$GEST-OFF^
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00:17:37:40
00:17:37:40
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That’s why we can’t do as much as others.
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$GEST-OFF^ deswegen
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I1^*
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I2^*
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I2^*
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CAN2A^
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NOT3A* nicht
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BIG3C groß
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TO-MAKE1 machen
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ATTENTION1A^* wie
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DIFFERENT2 andere
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AREA1A^
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When I hang out with friends privately, we have cookouts together in the summer.
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$GEST-ATTENTION1^* und
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ATTENTION1A^*
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SELF1A* selbst
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I1*
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PRIVATE2B privat
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$GEST-OFF^*
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MOST1A* meist{ens}
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PRIVATE2B* privat
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TO-SHAKE-HANDS3^*
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ALL1B^ freunde
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TOGETHER3A*
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TO-BARBECUE1A*
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SUMMER9* sommer
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TO-BARBECUE1A* grillen
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ALL2C^*
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PRIVATE2B* privat
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$LIST1:1of1d*
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There are also club parties where one celebrates and barbecues together.
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$ORAL^ ob{wohl}
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SOMETIMES2 manchmal
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CLUB-OR-SOCIETY2A verein
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EVENT2* veranstaltung
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ALSO3B* auch
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TO-BARBECUE1A* grillen
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SMALL2* kleine
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PARTY1A party
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$LIST1:3of3d
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In the winter season, starting in November, there are annually changing events.
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WINTER1 winterzeit
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TIME7C
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$ALPHA1:N* november
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PERIOD-OF-TIME1A*
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SOMETIMES1* manchmal
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$GEST-OFF^
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$GEST-I-DONT-KNOW1^ [MG]
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TO-SWAP3B wechsel
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YEAR1B* jahr
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$GEST-I-DONT-KNOW1^ [MG]
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Like a white, no, red and white party, for example.
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EXAMPLE2