PRIMARILY1^

	

frontal

45°

90°

from above

≙ PRIMARILY1^
Berlin \| dgskorpus_ber_08 \| 46-60f Of course, there was a lot of drinking involved.
r			ALCOHOL1	PRIMARILY1^
l		ALCOHOL2			INTOXICATED3	VERY6	MORE1
m		alkohol		[MG]	[MG]	[MG]	mehr
Frankfurt \| dgskorpus_fra_11 \| 18-30m Many told me not to seek direct contact, it wouldn’t be recommendable, because in Thailand tourists often are victims of theft.
r	TOURIST1*	TO-SWIPE1*	TYPICAL1*	PRIMARILY1^
l
m	tourismus		ty{pisch}	[MG]
Bremen \| dgskorpus_hb_07 \| 18-30m A tractor, which was driving pretty slow, was coming up from the left. I wanted to play it safe, so I told him to pass me.
r	$PROD	SLOW1		PRIMARILY1^	TYPICAL1*	SLOW1
l			TO-KNOW-OR-KNOWLEDGE2B^				I2
m		lang{sam}		doch	[MG]	langsam
Hamburg \| dgskorpus_hh_03 \| 46-60m I changed channels and all of them, really almost all of them showed what had happened.
r	BROADCAST1*	$NUM-ORDINAL1:1d*	UNTIL1*	PRIMARILY1^		ALL2A*	IT-HAPPENS1*
l					TO-LIST1C^*
m		erste				alle
München (Munich) \| dgskorpus_mue_01 \| 61+f In Eastern Germany there are a lot of history, archaeology. Just great.
r		BUT1*	EAST1A	PRIMARILY1^	$PROD	$PROD	$PROD
l
m		aber		[MG]	historisch	archäologisch
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m Everything, well the landscape is somewhat dead.
r			EVERYTHING1A*	PRIMARILY1^	$INDEX1	BIT1A	LANDSCAPE2
l
m			alles			biss{chen}	landschaft
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m Everything, well the landscape is somewhat dead.
r	LANDSCAPE2	ALSO3A	BROKEN4	PRIMARILY1^
l
m	landschaft	auch	kaputt
Berlin \| dgskorpus_ber_04 \| 46-60m Yes, the soccer clubs don't have any trouble.
r			FOOTBALL2*	PRIMARILY1^*	$INDEX1*	FOOTBALL2	SECURE2
l
m			fußball	[MG]		fußball	sicher
Göttingen \| dgskorpus_goe_08 \| 18-30f Mainly ASL.
r			$ALPHA1:#-L	PRIMARILY1^*	$GEST^
l
m			a-s-l	[MG]
Köln (Cologne) \| dgskorpus_koe_22 \| 46-60m They are in charge of everyone.
r			TO-SWARM1^*	PRIMARILY1^*	TO-BELONG1*
l
m			[MG]
Münster \| dgskorpus_mst_02 \| 18-30f The milk factory is the biggest one.
r		MILK2A*	FACTORY6*	PRIMARILY1^*
l
m		milchfab{rik}		[MG]
Münster \| dgskorpus_mst_02 \| 18-30f Humana, yes, a big factory.
r				PRIMARILY1^*
l			$ALPHA1:H-U-M
m			humana	[MG]
= PRIMARILY1
Berlin \| dgskorpus_ber_01 \| 18-30m They were really present in the media.
r			MORE1*	PRIMARILY1	$INDEX1	MORE1	TO-SHOW1A*
l
m			mehr	[MG]		mehr	zeigen zeigen
Berlin \| dgskorpus_ber_02 \| 46-60m They really focused on sports because sports were government-sponsored.
r	$INDEX1*	LIKE3B*	SPORTS1*	PRIMARILY1	TO-FOCUS1A^	TO-DRIVE3	STATE2
l
m			sport	[MG]			staat
Berlin \| dgskorpus_ber_02 \| 46-60m They really focused on sports because sports were government-sponsored.
r	STATE2	FREE1	SPORTS1*	PRIMARILY1	MASS-OF-PEOPLE-ACTIVE1*
l
m	staat	frei	sport	[MG]	[MG]
Berlin \| dgskorpus_ber_02 \| 46-60m There weren't many cultural activities around. Everything was about sports.
r	$GEST-OFF^	LITTLE-BIT8*	$GEST-OFF^	PRIMARILY1	SPORTS1*	MOST1A*	AREA1A*
l
m	…	[MG]			sport	meist{ens}
Berlin \| dgskorpus_ber_02 \| 46-60m Perhaps the mafia had a hand in the whole thing.
r		MAFIA1	SLOVAKIA2*	PRIMARILY1	MAFIA1	AREA1C	TO-TINKER1B^
l	$INDEX1
m		mafia	slo{wakei}	[MG]	mafia
Berlin \| dgskorpus_ber_04 \| 46-60m Then I went to the school for the deaf in Heidelberg.
r	DEAF1A*	SCHOOL3*	AREA1D^*	PRIMARILY1	DEAF1A*	AREA1A^	$GEST-OFF^
l
m	gehörlos	schule
Berlin \| dgskorpus_ber_11 \| 61+m Back when I did my stage training at the theatre, it was usually hearing people who helped me in class.
r	PLANE1^	ACTOR2*	I1*	PRIMARILY1	HEARING1A*	TO-HELP1*	TO-TEACH1
l
m	schau{spieler}				hörend	helfen	un{terricht}
Berlin \| dgskorpus_ber_12 \| 31-45f There are many deaf people in my family.
r				PRIMARILY1	ALL3*	DEAF1A*	$GEST^
l
m				[MG]
Berlin \| dgskorpus_ber_12 \| 31-45f I'd say Berlin is very colorful.
r	TO-SAY1	BERLIN1A*	HERE1*	PRIMARILY1	COLOURFUL3A*
l
m		berlin		[MG]	bunt
Berlin \| dgskorpus_ber_12 \| 31-45f There are many lakes in Brandenburg.
r	MUCH-OR-MANY1A	$ALPHA1:S-E-E	LAKE7	PRIMARILY1
l
m	viel	seen		[MG]
Frankfurt \| dgskorpus_fra_02 \| 31-45m Yes, usually they use GERMANY-ASL.
r		BUT1*	GERMANY-ASL1*	PRIMARILY1
l
m		aber		[MG]
Frankfurt \| dgskorpus_fra_03 \| 46-60m It will also start to smell more intense.
r			TO-SMELL4	PRIMARILY1	TO-COOK4*	BETTER2*
l
m			[MG]	[MG]	[MG]	besser
Frankfurt \| dgskorpus_fra_04 \| 61+m I, on the other hand, was young, so there were many more people my age.
r	YOUNG1*	MY1*	MORE1	PRIMARILY1	TO-GROW2C^*	$GEST-OFF^
l
m	jung			[MG]	mehr
Frankfurt \| dgskorpus_fra_05 \| 46-60m Almost all of the deaf people used to go to a Realschule [type of secondary school for ages 10 to 16].
r		DEAF1A*	TEAM-OR-CREW1^*	PRIMARILY1	MIDDLE-SCHOOL1	$GEST-OFF^
l
m				[MG]	realschule
Frankfurt \| dgskorpus_fra_11 \| 18-30m Black is more neutral or related to death, right?
r		EXAMPLE1*	BLACK2*	PRIMARILY1	HIS-HER1*	$GEST^	NEUTRAL1A
l
m		beispiel	schwarz	[MG]			neutral
Frankfurt \| dgskorpus_fra_11 \| 18-30m Also, I noticed that there are many deaf parents or completely deaf families here in Germany.
r	I1	TO-STRIKE1A	HERE1*	PRIMARILY1	PARENTS7	DEAF1A*	FAMILY1*
l
m	…	auffallen	hier	[MG]	eltern		familie
Frankfurt \| dgskorpus_fra_11 \| 18-30m But I wasn’t in any other countries, there are very few deaf people there.
r	$INDEX1	I1	NONE8	PRIMARILY1	AREA1A*	NONE8	I1
l
m			[MG]	[MG]		[MG]
Frankfurt \| dgskorpus_fra_12 \| 61+m You know that deaf people used to be only given the chance to learn simple professions like tailor, shoemaker and carpenter.
r	$GEST-OFF^*	EASY1	MATERIAL2A^	PRIMARILY1	TAILOR1	SHOEMAKER1*	CARPENTER1A
l
m	…	einfach	beruf	[MG]	schneider	schuhmacher	schreiner
Göttingen \| dgskorpus_goe_06 \| 31-45f There are mainly farms; the air is great.
r				PRIMARILY1	FARMER1*	COURTYARD2	PRIMARILY1
l
m				[MG]	b{auer} bauer		[MG]
Göttingen \| dgskorpus_goe_06 \| 31-45f There are mainly farms; the air is great.
r	PRIMARILY1	FARMER1*	COURTYARD2	PRIMARILY1	$GEST-OFF^	AIR1	GOOD1*
l
m	[MG]	b{auer} bauer		[MG]		luft	gut
Göttingen \| dgskorpus_goe_06 \| 31-45f There are mostly cows in that region.
r			AREA1A^	PRIMARILY1	AREA1A^	COW4*
l
m			[MG]	[MG]		kuh kuh kuh kuh
Göttingen \| dgskorpus_goe_06 \| 31-45f There are a lot of them/
r		MUCH-OR-MANY1A*	AREA1A^*	PRIMARILY1
l
m		viel		[MG]
Göttingen \| dgskorpus_goe_06 \| 31-45f Every once in a while, there might be a horse in the mix but it’s mostly cows.
r	$INDEX1	$INDEX1	MOST1A*	PRIMARILY1	COW4	MUCH-OR-MANY1A	AREA1A^
l
m	…	pfer{d}	[MG]	[MG]	kuh	viel
Göttingen \| dgskorpus_goe_06 \| 31-45f That’s typical for the area around the North Sea.
r	MOST1A*	NORTH1A	LAKE7	PRIMARILY1	$GEST-OFF^
l
m	mei{st}	nordsee		[MG]
Göttingen \| dgskorpus_goe_06 \| 31-45f Large parts of the area are moorland.
r		$INDEX1	AREA1E^	PRIMARILY1	$ALPHA1:M-OO-R	PRIMARILY1	AREA1A^*
l
m				haup{t}	moor	haupt
Göttingen \| dgskorpus_goe_06 \| 31-45f Large parts of the area are moorland.
r	AREA1E^	PRIMARILY1	$ALPHA1:M-OO-R	PRIMARILY1	AREA1A^*
l
m		haup{t}	moor	haupt
Göttingen \| dgskorpus_goe_06 \| 31-45f Do you know the area?
r	TO-KNOW-STH-OR-SB1A*	$ALPHA1:M-OO-R	AREA1A^*	PRIMARILY1
l
m	kennst	moor		[MG]
Göttingen \| dgskorpus_goe_06 \| 31-45f Our family would usually bind a couple of twigs together to make a wreath.
r		MY1	FAMILY3*	PRIMARILY1	LEAF1^	TO-WIND3
l
m		m{ein}	familie	[MG]	kleine zweig	[MG]
Göttingen \| dgskorpus_goe_06 \| 31-45f They mostly have fields of white sugar beets.
r			$GEST-OFF^	PRIMARILY1	AREA1A^*	MUCH-OR-MANY1A	SUGAR1A
l
m			[MG]		viele		zuckerrübe
Göttingen \| dgskorpus_goe_06 \| 31-45f People in the West are Catholic and people in Brunswick are Protestant.
r	TO-BELIEVE2B	YOU1*	$INDEX1	PRIMARILY1	CATHOLIC2		$INDEX1
l						$INDEX1
m	glaub			[MG]	katholisch
Göttingen \| dgskorpus_goe_08 \| 18-30f Mainly, it’d be better than a university in Germany.
r				PRIMARILY1	$INDEX1	BEST1*	GERMAN1
l						$INDEX1
m				[MG]		beste	deutsch
Göttingen \| dgskorpus_goe_10 \| 46-60m They have dams there, some of the biggest in the world.
r			$INDEX2*	PRIMARILY1	WORLD1	PRIMARILY1	$PROD
l
m				[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m They have dams there, some of the biggest in the world.
r	$INDEX2*	PRIMARILY1	WORLD1	PRIMARILY1	$PROD	BORDER1B*	BIG9
l
m		[MG]				staudamm	groß
Göttingen \| dgskorpus_goe_10 \| 46-60m And high mountains.
r			MOUNTAIN1A	PRIMARILY1
l
m			berg berg berg	[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m There are plenty of trees. You can go for a walk, or you can go hiking, as well.
r				PRIMARILY1	FOREST2B*	$GEST^	TO-GO-FOR-A-WALK2B*
l
m				[MG]	baum		spazieren
Bremen \| dgskorpus_hb_01 \| 31-45m But everything is just flat.
r				PRIMARILY1	ONLY2A	PLANE3B*	$GEST^
l
m				[MG]	nur	flach flach flach
Bremen \| dgskorpus_hb_01 \| 31-45m Hardly anything grows there.
r				PRIMARILY1	LITTLE-BIT4*	TREE2A*	LITTLE-BIT4
l
m				[MG]	[MG]	baum	[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m Hamburg and Berlin have tons of tourists compared to Bremen.
r	HAMBURG2	BERLIN1A*	$INDEX1	PRIMARILY1	LEVEL-OR-STANDARD1
l
m	hamburg	berlin			niveau
Bremen \| dgskorpus_hb_02 \| 46-60f The yellow one usually belongs to the cars fuelled by diesel.
r		YELLOW1A	DIESEL1	PRIMARILY1
l
m		gelb	diesel	[MG]
Bremen \| dgskorpus_hb_02 \| 46-60f The yellow badge is especially often seen on cars fuelled by diesel.
r	STAIN1B^*	WITH1A*	DIESEL1	PRIMARILY1	TO-BELONG1^*	$GEST-OFF^*
l
m	…		diesel	[MG]	[MG]
Hamburg \| dgskorpus_hh_03 \| 46-60m I changed channels and all of them, really almost all of them showed what had happened.
r		REMOTE1	ONLY2A*	PRIMARILY1	ALL1A*	BROADCAST1*	$NUM-ORDINAL1:1d*
l
m				[MG]	alle		erste
Hamburg \| dgskorpus_hh_07 \| 18-30f We are mainly surrounded by hearing people.
r	WE1A*	TO-LIVE1C*	LIKE3A*	PRIMARILY1	HEARING1A	TO-SWARM1^	$GEST-OFF^
l
m	[MG]	leb	wie	[MG]	hö{rend}	[MG]
Hamburg \| dgskorpus_hh_07 \| 18-30f For hearing schools, the classes have about 25 students.
r			$INDEX1	PRIMARILY1	HEARING1A*	$INDEX1*	$NUM-ONE-TO-TEN1A:5
l					$INDEX1
m				[MG]	hö{rend}		fünf{und}zwanzig
Hamburg \| dgskorpus_hh_07 \| 18-30f Or rather 20-30.
r	UNTIL1	$NUM-TENS2A:3d*	BETWEEN1B*	PRIMARILY1	$GEST-OFF^*
l
m	bis	dreißig		[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f They also treat wheelchair users or people who have had certain accidents at work.
r	$INDEX1	TO-PROMOTE1B	$INDEX1	PRIMARILY1
l
m	…	fördern		[MG]
Köln (Cologne) \| dgskorpus_koe_01 \| 18-30f Everyone else in the firm works as an architect.
r			MOST1A	PRIMARILY1	COMPANY1B*	PRIMARILY1	ALL2A
l
m				[MG]	firma	[MG]	alle
Köln (Cologne) \| dgskorpus_koe_01 \| 18-30f Everyone else in the firm works as an architect.
r	MOST1A	PRIMARILY1	COMPANY1B*	PRIMARILY1	ALL2A	ARCHITECT1	TO-BELONG1^*
l
m		[MG]	firma	[MG]	alle	architektur
Köln (Cologne) \| dgskorpus_koe_05 \| 46-60f She left her husband and got together with a rich Moslem.
r	TOGETHER-PERSON1^	RICH7	MUSLIM1	PRIMARILY1
l
m		[MG]	moslem	[MG]
Köln (Cologne) \| dgskorpus_koe_09 \| 18-30f They didn't care anymore. That's why they jumped. Thinking about it gives me goose bumps.
r		$PROD	WHATEVER3*	PRIMARILY1	$INDEX1*	TO-ACCOMPLISH1A*	TO-FALL2B*
l
m			egal	[MG]		schaff	[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m They have different types of springs.
r				PRIMARILY1	TO-BELONG1^*	DIFFERENT1	SOURCE1A*
l
m				[MG]		an{ders}
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m And then he saw that the people of this region were really religious.
r	RELIGIOUS1	RELIGIOUS1*	RELIGIOUS1	PRIMARILY1	AREA1A^	RELIGIOUS1*
l
m	fromm		fromm	[MG]		fromm
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Maybe made from a sheep or a cow which has a certain taste?
r		THIS-AND-THAT1^*	PRESENT-OR-HERE1	PRIMARILY1	ANIMAL1A*	$INDEX1*	SHEEP1*
l
m			da		tier		schaf
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I live in a village.
r			BODY3^	PRIMARILY1	VILLAGE3
l
m				[MG]	dorf
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m There are deer and wild boars in my village and in Siegen as well.
r	ALSO3A	SIEGEN-CITY1	BOTH2A	PRIMARILY1	TO-OWN-TO-EXIST1	DEAR1*	$GEST^
l
m	auch	siegen	beide	[MG]	[MG]	hirsch
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Yeah, you have a lot of forest around.
r	$INDEX1	MUCH-OR-MANY1A*	FOREST2B	PRIMARILY1	$INDEX1
l
m		viel	wald	[MG]
Köln (Cologne) \| dgskorpus_koe_17 \| 61+f My family still lives there.
r	RELATED2B*	TODAY1*	STILL5*	PRIMARILY1	AREA1D
l
m	verwandten	heute	noch	[MG]
Köln (Cologne) \| dgskorpus_koe_19 \| 31-45f Well the Culture Days mainly focus on the cultural aspects.
r		CULTURE1A*	DAY1A	PRIMARILY1	CULTURE1A*	AREA1A^*
l
m		kulturtage		[MG]	kulturell
Köln (Cologne) \| dgskorpus_koe_22 \| 46-60m There are particularly many Muslims in Cologne.
r	MUCH-OR-MANY1A*	HERE1	BUT1*	PRIMARILY1	MUSLIM1*	AREA1A	COLOGNE2
l
m			[MG]	[MG]	moslem		köln
Köln (Cologne) \| dgskorpus_koe_22 \| 46-60m There are particularly many Muslims in Cologne.
r	AREA1A	COLOGNE2	HERE1*	PRIMARILY1
l
m	…	köln		[MG]
Leipzig \| dgskorpus_lei_01 \| 18-30m In eastern Germany GmbHs are common and popular, too.
r	EAST1A	$INDEX1*	MOST1B	PRIMARILY1	PRIVATE1A*	COMPANY1A	$ALPHA1:G-M-B-H*
l
m	ost		meistens	[MG]	privat	firma	g-m-b-h
Leipzig \| dgskorpus_lei_09 \| 31-45f His parents are hearing, and most of his relatives are, too.
r	HIS-HER1	PARENTS3B	HEARING1A	PRIMARILY1	ALL1A	HEARING1A	$GEST-OFF^
l
m	seine	eltern	hörend	[MG]	alle	hörend
Leipzig \| dgskorpus_lei_09 \| 31-45f The rest of my family likes milk better.
r		TO-PUT-FOOD-ON-PLATE1^	ALL2C	PRIMARILY1	MILK2B	HIS-HER1	HUSBAND1
l
m			aber	[MG]	milch		mann
Leipzig \| dgskorpus_lei_10 \| 31-45m That is discrimination.
r				PRIMARILY1	DISCRIMINATION1
l
m				[MG]	[MG]
Leipzig \| dgskorpus_lei_11 \| 31-45f The Ore Mountains are mainly famous for their nutcrackers and their carvings.
r	MORE1	$ALPHA1:E-R-Z-#	AREA1A*	PRIMARILY1	$GEST-TO-PONDER1^	FAMOUS2A	NUT2*
l
m	mehr	erzgebirge		[MG]		berühmt	nussknacker
Münster \| dgskorpus_mst_02 \| 18-30f Are there many factories, or forests?
r			PRESENT-OR-HERE1*	PRIMARILY1	FACTORY6	OR1*	PRIMARILY1
l
m				[MG]	fabrik	oder	[MG]
Münster \| dgskorpus_mst_02 \| 18-30f Are there many factories, or forests?
r	PRIMARILY1	FACTORY6	OR1*	PRIMARILY1	FOREST1
l
m	[MG]	fabrik	oder	[MG]	wald
Münster \| dgskorpus_mst_02 \| 18-30f Especially because it’s so close to the train station, that’s why it’s important.
r				PRIMARILY1	REASON4B	MIDDLE2A^*	AT-OR-ON1C*
l
m				[MG]	grund	bei	wie
Münster \| dgskorpus_mst_02 \| 18-30f Especially because it’s so close to the train station, that’s why it’s important.
r	REASON4B	MIDDLE2A^*	AT-OR-ON1C*	PRIMARILY1
l
m	grund	bei	wie	[MG]
Münster \| dgskorpus_mst_02 \| 18-30f I think you could get cigars there, the thick ones.
r		TO-BELIEVE2A*	$INDEX1*	PRIMARILY1	$GEST-TO-PONDER1^	CIGAR1	$GEST-TO-PONDER1^
l
m		glaube		[MG]
Münster \| dgskorpus_mst_02 \| 18-30f It’s mainly/
r				PRIMARILY1	$GEST-OFF^
l
m				[MG]
Münster \| dgskorpus_mst_02 \| 18-30f It’s Ahlers, they mainly produce clothes.
r	LIKE4A*	SEWING-MACHINE1*	AREA1D	PRIMARILY1	AREA1D		CLOTHES5A
l						$INDEX1*
m	wie	nähmaschinen		[MG]		da	klamo{tten}
Münster \| dgskorpus_mst_02 \| 18-30f It’s Ahlers, they mainly produce clothes.
r	AREA1D		CLOTHES5A	PRIMARILY1
l		$INDEX1*			TO-BELONG1^
m		da	klamo{tten}	[MG]
Münster \| dgskorpus_mst_05 \| 61+f When there are many successful deaf people, others will follow their example and learn sign language.
r		$ORAL^	EXAMPLE5	PRIMARILY1	DEAF1A*	ALL1A*	VERY6*
l
m		wenn	zum beispiel	[MG]	gehörlos		[MG]
Münster \| dgskorpus_mst_06 \| 31-45m There’s a lot of traffic and bustle in China.
r				PRIMARILY1		TRAFFIC1A*	PRIMARILY1
l			$INDEX1		$INDEX1
m				[MG]		verkehr	[MG]
Münster \| dgskorpus_mst_06 \| 31-45m There’s a lot of traffic and bustle in China.
r	PRIMARILY1		TRAFFIC1A*	PRIMARILY1	TRAFFIC1A*	PRIMARILY1
l		$INDEX1					TO-BELONG1^*
m	[MG]		verkehr	[MG]	verkehr	[MG]
Münster \| dgskorpus_mst_06 \| 31-45m There’s a lot of traffic and bustle in China.
r	TRAFFIC1A*	PRIMARILY1	TRAFFIC1A*	PRIMARILY1
l					TO-BELONG1^*
m	verkehr	[MG]	verkehr	[MG]
Münster \| dgskorpus_mst_06 \| 31-45m I communicated in English, they usually know how to speak that.
r	ENGLAND4*	ENGLAND4	TO-WRITE1B*	PRIMARILY1	AREA1A^*	ENGLAND4*
l
m		englisch		[MG]		englisch
Münster \| dgskorpus_mst_06 \| 31-45m You could only get news online.
r		INTERNET1A		PRIMARILY1	INTERNET1A	INFORMATION2B*
l	ONLY2A		$INDEX1
m	nur	internet		[MG]	internet
Münster \| dgskorpus_mst_10 \| 46-60f The people there worshipped the emperor Shinto.
r			ALL2B	PRIMARILY1	EMPEROR1A	HIS-HER1*	$ALPHA-SK:S
l
m					kaiser		shinto
Münster \| dgskorpus_mst_13 \| 46-60f I was born and raised by a deaf family that used sign language.
r	I2*	$GEST-OFF^	TALK2B*	PRIMARILY1
l
m			[MG]	[MG]
München (Munich) \| dgskorpus_mue_01 \| 61+f (Most of them are from the east. I know a lot of them; we hug and they guide us.)
r			MOST1A	PRIMARILY1	I1*	TO-LIST1A	I1
l
m			meistens	ost	viel	[MG]	ich
München (Munich) \| dgskorpus_mue_02 \| 31-45m They were mainly from these three cities - Hamburg, Berlin and Munich.
r			$GEST-OFF^	PRIMARILY1	HAMBURG1*	BERLIN1A*	AND2A
l
m				[MG]	hamburg	berlin	und
München (Munich) \| dgskorpus_mue_02 \| 31-45m You celebrate with people from all over the world, but most of them are from Italy.
r	WITH1A	INTERNATIONAL1	$GEST-OFF^	PRIMARILY1	ITALY1	MASS-OF-PEOPLE-ACTIVE1	MOST1A
l
m	mit	international		[MG]	italien		[MG]
München (Munich) \| dgskorpus_mue_02 \| 31-45m You celebrate with people from all over the world, but most of them are from Italy.
r	ITALY1	MASS-OF-PEOPLE-ACTIVE1	MOST1A	PRIMARILY1	ITALY1	MASS-OF-PEOPLE-ACTIVE1	$GEST-OFF^
l
m	italien		[MG]	[MG]	italien	[MG]
München (Munich) \| dgskorpus_mue_02 \| 31-45m If one thinks about the Oktoberfest, the first thing that comes to mind is the beer and the beer tents/
r		BEER3	$GEST-OFF^	PRIMARILY1	OCTOBER2*	CELEBRATION2*	$NUM-ONE-TO-TEN1A:1d
l
m		bier		[MG]	oktoberfest		nummer eins
München (Munich) \| dgskorpus_mue_02 \| 31-45m They meet every other week on a Saturday.
r	MASS-OF-PEOPLE-ACTIVE1	DEAF1A	MASS-OF-PEOPLE-ACTIVE1	PRIMARILY1
l
m	[MG]		[MG]	[MG]
München (Munich) \| dgskorpus_mue_02 \| 31-45m At the Löwenbräu tent most of the time.
r				PRIMARILY1	AUGUST5^*	BAVARIA1^*	LION1^*
l
m				[MG]	löwenbräu
München (Munich) \| dgskorpus_mue_02 \| 31-45m At the Löwenbräu tent most of the time.
r	AUGUST5^*	BAVARIA1^*	LION1^*	PRIMARILY1
l
m	löwenbräu			[MG]
München (Munich) \| dgskorpus_mue_06 \| 18-30f Today we have captions for TV, DVDs and the internet. The internet is especially important.
r	INTERNET1A*	THROUGH2A*	INTERNET1A	PRIMARILY1
l
m	internet	durch	internet
München (Munich) \| dgskorpus_mue_07 \| 18-30m Yes, especially the Japanese love to go there by train; it’s incredible.
r		YES1A	JAPAN1*	PRIMARILY1	TRAIN2A*	WHERE-TO1^*	JAPAN1*
l
m			japan	[MG]	zug		japan
München (Munich) \| dgskorpus_mue_07 \| 18-30m Yes, especially the Japanese love to go there by train; it’s incredible.
r	TRAIN2A*	WHERE-TO1^*	JAPAN1*	PRIMARILY1	$INDEX1*
l
m	zug		japan	[MG]
München (Munich) \| dgskorpus_mue_07 \| 18-30m Hops are mainly grown there. In the north-west there’s also a bit of vine.
r				PRIMARILY1	SOMETIMES3*	DIFFERENT1*
l			JUICE1A^				BIT2A*
m			hopfen	[MG]	oder manchmal	auch	biss{chen}
München (Munich) \| dgskorpus_mue_08 \| 18-30f There were only women in that group who weren't interested in soccer at all, but nevertheless agreed to watch the match with me.
r			I1	PRIMARILY1	GROUP1A*	WOMAN2C*	TEAM-OR-CREW1^*
l
m				[MG]		frauen
München (Munich) \| dgskorpus_mue_10 \| 31-45m Many tourists come to the Allgäu.
r		UNTIL-TODAY1B^	ALLGÄU1	PRIMARILY1	MASS-OF-PEOPLE-ACTIVE1*	HENCE1	OWN1D^*
l
m			all{gäu}	[MG]			tourist
Rostock \| dgskorpus_mvp_01 \| 18-30m There were mainly hearing people with speech impediments or with CIs, but they were all speaking.
r	LANGUAGE1*	DISRUPTION1A*	CI1*	PRIMARILY1		TO-SPEAK5A
l					ALL1A*
m	sprachstörung		c-i	[MG]		[MG]
Rostock \| dgskorpus_mvp_03 \| 18-30m For my classmates this, as well, was a reason to believe they were members of the Stasi.
r				PRIMARILY1	I1	TO-THINK1B	PARENTS1A
l
m				[MG]			eltern
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m And the landscape consists of fir trees because of the Fichtel Mountains.
r		AND2A*	LANDSCAPE1*	PRIMARILY1	THIN-OR-SKINNY1A^	TO-KNOW-OR-KNOWLEDGE2A*	$INDEX-ORAL1
l
m		und	landschaft	[MG]	fichte		fichtelgebirge
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m During winter one mainly skies.
r			$INDEX1*	PRIMARILY1	WINTER1*	SKI1*
l
m				[MG]	winter	ski
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m The porcelain museum in Selb is also very famous.
r	ALSO1B*	CHINAWARE1B	MUSEUM1	PRIMARILY1	TO-KNOW-OR-KNOWLEDGE2B^	$ALPHA1:S*	$GEST-OFF^*
l
m	und	porzellanmuseum		[MG]		selb
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m Churches are very common.
r		ALSO3A	CHURCH2A*	PRIMARILY1
l
m		auch		[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m It is the same for Rothenburg ob der Tauber; a lot of people go there, it is crazy.
r	$INDEX1	$ALPHA1:O		PRIMARILY1	MASS-OF-PEOPLE-ACTIVE1	VERY6*
l			$INDEX1
m	…	ob der tauber		[MG]	[MG]	[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_08 \| 18-30f That’s why my grades at the vocational training center were usually pretty bad.
r	BBW1	$INDEX1*	HENCE1*	PRIMARILY1	BAD-OR-STALE2	MISTAKE3^
l
m	b-b-w	deshalb		[MG]	schlechte	note
Schleswig-Holstein \| dgskorpus_sh_06 \| 31-45f Especially the south of Germany is very much characterized by catholicism.
r			$GEST^	PRIMARILY1	SOUTH1B	AREA1A^*	CROSS4B^*
l
m				[MG]	süddeutschland		katholisch
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Mainly/
r			$ORAL^	PRIMARILY1	BUT1*
l
m			aber	ha{u}pt{sächlich}
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Mainly in Laboe.
r				PRIMARILY1	$PROD	IN1*
l
m				[MG]	laboe	in
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m The most well-known fish in Schleswig-Holstein is the herring.
r	HERRING1	WELL-KNOWN1A	AREA1A^*	PRIMARILY1	HERRING1
l
m	hering	bekannt		[MG]	hering
Stuttgart \| dgskorpus_stu_02 \| 18-30f There was a deaf community in Wilhelmsdorf, but not much developed, yet.
r	DEAF1A*	COMMUNITY1A	YES1A	PRIMARILY1	DEAF1A	COMMUNITY1A	NOT-YET2*
l
m	gehörlosengemeinschaft		ja aber	stark	gehörlosengemeinschaft		noch nicht
Stuttgart \| dgskorpus_stu_06 \| 18-30f Just recently, I was in America and saw some alligators there. I showed you the pictures and told you how they were grimly lying around and how fast they could move.
r	A-MOMENT-AGO2*	AMERICA1*	$INDEX1	PRIMARILY1	$ALPHA1:A*	I1	TO-SHOW1A
l
m	[MG]	amerika		[MG]	alligator
Stuttgart \| dgskorpus_stu_07 \| 46-60m Blind people mostly use Braille.
r				PRIMARILY1	BLIND1A*	TO-BELONG1^	$ALPHA1:#-L-L-E
l
m				[MG]	blind		braille
Stuttgart \| dgskorpus_stu_08 \| 61+f Most of them.
r				PRIMARILY1
l
m				[MG]
Stuttgart \| dgskorpus_stu_08 \| 61+f They were mostly from East Germany.
r			$INDEX1*	PRIMARILY1		TO-PUSH-TO-THE-SIDE1
l					EAST1A*
m				[MG]	ost ost ost
Stuttgart \| dgskorpus_stu_10 \| 18-30m Most of them knew each other from Nuremberg, I was basically the fresh meat.
r	$INDEX1*	PAST-OR-BACK-THEN2	NUREMBERG1B	PRIMARILY1	TO-COME1*	$NUM-ONE-TO-TEN1A:2d	UNION2A^*
l		$INDEX1				SEVERAL1
m			nürn{berg}	[MG]
Stuttgart \| dgskorpus_stu_12 \| 46-60f But Freiburg is pretty green.
r		$GEST-OFF^*	AREA1A^*	PRIMARILY1	GREEN18*
l
m		aber	freiburg	[MG]	grün
Berlin \| dgskorpus_ber_01 \| 18-30m Mainly in Europe.
r				PRIMARILY1*	EUROPE1A	PRIMARILY1*	$GEST-OFF^
l
m						[MG]
Berlin \| dgskorpus_ber_01 \| 18-30m Mainly in Europe.
r		PRIMARILY1*	EUROPE1A	PRIMARILY1*	$GEST-OFF^
l
m				[MG]
Berlin \| dgskorpus_ber_12 \| 31-45f Many lakes, really.
r			BRANDENBURG1*	PRIMARILY1*	LOCATION1A^*
l
m			brandenburg	[MG]	see
Berlin \| dgskorpus_ber_12 \| 31-45f Predominantly, yes.
r				PRIMARILY1*
l
m				[MG]
Frankfurt \| dgskorpus_fra_05 \| 46-60m Only with deaf people, with whom I signed.
r			I1	PRIMARILY1*	DEAF1A*	TO-SIGN1G
l
m			ich	[MG]
Frankfurt \| dgskorpus_fra_05 \| 46-60m There's a huge age difference.
r				PRIMARILY1*	OLD3*	DIFFERENCE1A*
l
m				[MG]	alt	[MG]
Frankfurt \| dgskorpus_fra_11 \| 18-30m During my world trip I spent the longest time in India.
r		$INDEX1	I1*	PRIMARILY1*	LONG-TIME1B*	MOST1A	INDIA3
l
m		[MG]				[MG]	indien
Göttingen \| dgskorpus_goe_04 \| 31-45m It was at the university, the university for hearing people.
r		UNIVERSITY2*	TO-BELONG1*	PRIMARILY1*	HEARING1A	GROUP1A*
l
m		universität		[MG]	hörend	[MG]
Göttingen \| dgskorpus_goe_05 \| 31-45m The party The Left is not as popular in the West [of Germany], more so in the East [of Germany].
r		$ALPHA1:L*	PARTY-POLITICAL1	PRIMARILY1*	EAST1A	AREA1A*	PRIMARILY1*
l
m		links	partei	[MG]	osten		[MG]
Göttingen \| dgskorpus_goe_05 \| 31-45m The party The Left is not as popular in the West [of Germany], more so in the East [of Germany].
r	PRIMARILY1*	EAST1A	AREA1A*	PRIMARILY1*	AREA1A^*	$GEST-OFF^*
l
m	[MG]	osten		[MG]
Göttingen \| dgskorpus_goe_07 \| 18-30m It affects older people more often.
r			MORE1*	PRIMARILY1*	OLD5A	PEOPLE2	$GEST-DECLINE1^
l
m			mehr	[MG]	alt	leute
Hamburg \| dgskorpus_hh_02 \| 31-45f It’s rather men that are affected by Haemophilia.
r	$GEST-NM-NOD-HEAD1^	MAN1*	HIS-HER1*	PRIMARILY1*	BLOOD1B*
l
m	männer			blut
Köln (Cologne) \| dgskorpus_koe_01 \| 18-30f Because most of the people in the company are architects, I have to become active myself and need to fight if I want to have some sort of career.
r				PRIMARILY1*	ALL2A*	ARCHITECT1
l
m				[MG]	alle	architektur
Köln (Cologne) \| dgskorpus_koe_10 \| 18-30m One of the players on the team was stealing, right?
r				PRIMARILY1*	TURKEY1*	TEAM-OR-CREW1	OBJECT1^
l
m					türk{isch}		ein
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Where I live, most of the streets go uphill and downhill.
r		I2	APARTMENT1A*	PRIMARILY1*	$PROD	I1
l
m			wohne	[MG]	hoch runter hoch
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m And then he saw that the people of this region were really religious.
r	TO-SEE1	MUST1	WAS1*	PRIMARILY1*	AREA1A^	RELIGIOUS1	RELIGIOUS1*
l
m			war	[MG]		fromm
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m No, the Nuremberg Bratwurst is really special.
r			$GEST-NM-SHAKE-HEAD1^	PRIMARILY1*	$INDEX1	EXAMPLE1	NUREMBERG2
l
m				[MG]		beispiel	nürnberger bratwurst
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Often rabbits or deer cross the streets.
r	GAME-ANIMALS5	RABBIT1B*	$PROD	PRIMARILY1*	OFTEN2B*
l
m	wild	hase		[MG]	oft
Leipzig \| dgskorpus_lei_14 \| 31-45m A lot of trees were damaged or died on the Fichtelberg near Oberwiesenthal [mountain in the Ore mountains].
r	MOUNTAIN1A	$ALPHA1:O_2	MUCH-OR-MANY1A*	PRIMARILY1*	TREE-$CANDIDATE-LEI69^	TO-DAMAGE1*	$PROD
l
m	…	oberwies{enthal}		[MG]	baum	schaden	[MG]
Münster \| dgskorpus_mst_01 \| 46-60m Everything was so huge.
r		VERY6	FULL1*	PRIMARILY1*	DEAF1A*	FULL1*
l
m		[MG]	[MG]	[MG]	[MG]	voll
Münster \| dgskorpus_mst_02 \| 18-30f There’s a lot of forest.
r			FOREST9*	PRIMARILY1*
l		$INDEX1*			SURROUNDING1A*
m		vie{l}	wald	[MG]
München (Munich) \| dgskorpus_mue_04 \| 18-30f A lot of young people live there.
r	$GEST-OFF^*	PRIMARILY2*	$INDEX1	PRIMARILY1*	YOUNG1	PERSON1*
l
m		haupt		[MG]	jugendliche
München (Munich) \| dgskorpus_mue_07 \| 18-30m In the north, there’re mainly hops growing.
r		NORTH1B	MOUNTAIN1A*	PRIMARILY1*	$ALPHA1:H	MEADOW1^*
l
m		nord		[MG]	hopf{en}wiese
München (Munich) \| dgskorpus_mue_07 \| 18-30m Those fields are only in the north, not in the south of Munich.
r		JUICE1A^*	MEADOW1^*	PRIMARILY1*	SOUTH1A*	NOT3A	SOUTH1A*
l
m		hopfen	[MG]	[MG]	süd	nicht	süd
München (Munich) \| dgskorpus_mue_07 \| 18-30m More or less all the way to Nuremberg.
r	FULL2A^	NUREMBERG2*	MORE8A	PRIMARILY1*
l					$ALPHA1:K-F-R
m	bis	nür{n}berg		[MG]	kiefer
Rostock \| dgskorpus_mvp_03 \| 18-30m I heard that many of the teachers at the school for the deaf in Güstrow were members of the SED [Socialist Unity Party of Germany].
r	SCHOOL1C	GÜSTROW1*	$INDEX1	PRIMARILY1*	TEACHER2	PERSON1^*	$ALPHA1:S
l
m	…	güstrow		[MG]	lehrer		s-e-d
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m We mainly have porcelain in my hometown Selb.
r	I2*	HOME-OR-HOMELAND1	$ALPHA1:S*	PRIMARILY1*	CHINAWARE1B*	$GEST-OFF^*
l
m		heimat	selb	[MG]	porzellan
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m There is a lot, yes.
r			$INDEX1*	PRIMARILY1*
l
m				[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_03 \| 31-45m Far more Germans than English people emigrated there.
r		USA2*	NARROW1A^	PRIMARILY1*	GERMAN1	MASS-OF-PEOPLE-ACTIVE1*	ENGLAND2*
l
m		u-s-a		[MG]	deutsch		eng{land}
Nürnberg (Nuremberg) \| dgskorpus_nue_03 \| 31-45m English is used predominantly; it’s established by now.
r			ENGLAND2*	PRIMARILY1*	TO-PUT8^
l
m			englisch
Nürnberg (Nuremberg) \| dgskorpus_nue_09 \| 18-30m In Hamburg, there were more than ten players who got injured, I think.
r	HAMBURG1*	MIDDLE2B	$INDEX1	PRIMARILY1*	$GEST^*	TO-BELIEVE2B*	APPROXIMATELY2*
l
m	hamburg					[MG]
Stuttgart \| dgskorpus_stu_02 \| 18-30f In my free time I only meet deaf people, though, and we mostly sign.
r	LEISURE-$CANDIDATE-STU53^	UNDER1A*	DEAF1A	PRIMARILY1*	TO-SIGN1G*
l
m	freizeit	unter	gehörlos	[MG]
Stuttgart \| dgskorpus_stu_06 \| 18-30f They need a lot of water, but there’s mostly desert in Namibia.
r	TO-NEED1*	MUCH-OR-MANY1A*	$INDEX1	PRIMARILY1*	$ALPHA1:W*	AREA1A	$GEST-OFF^
l
m	brauchen	viel wasser		[MG]	wüste

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