DOI: /10.25592/dgs.corpus-3.0-text-1413485

dgskorpus_ber_01: Experience Report

Topics Society: British Royal Family; Society: Lady Diana; Traffic: Accident; Traffic: Lady Diana

Translation Lexeme/Sign Mouth Translation Lexeme/Sign Mouth Moderator
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When I heard about Diana's fatal accident I was very sad.
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$INDEX-TO-SCREEN1
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THEREFORE1 darum
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$INDEX-TO-SCREEN1
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$ALPHA1:D-I-N-A diana
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$INDEX-TO-SCREEN1
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$GEST-TO-PONDER1^*
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$INDEX1
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ACCIDENT8 unfall
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I1
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SAD6 traurig
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When she was alive she gave the world and the poor protection, love and support.
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REASON4B grund
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$INDEX-TO-SCREEN1
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$ALPHA1:D-A dia{na}
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BEFORE1G^ früher
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$INDEX1
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FOR1 für
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WORLD1 welt
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PEOPLE2 leute
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PROTECTION1A schutz
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POVERTY2* arme
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$INDEX1
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LOVE1C* liebe
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CARE1 pflege
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TO-SUPPORT4 unter{stützen}
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She was the best and nicest queen England ever had.
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$INDEX1
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BEST1* beste
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LOVELY1A lieb
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$ALPHA1:D-N-A diana
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PERSON1
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FOR1^
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ENGLAND4* england
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KING1A* könig
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PERSON1
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Therefore, I was shocked and sad about the accident.
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I2
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THEREFORE1 darum
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$INDEX1
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SHOCK2A* schock
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ACCIDENT8 unfall
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I1
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SAD6 traurig
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Because she wouldn't be here anymore.
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LIKE3A* wie
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$INDEX1
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NOT-ANYMORE1A mehr
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PERSON1
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PROCEEDING2^*
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NOT1 nicht mehr
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If/
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$INDEX1
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IF-OR-WHEN1A wenn
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$GEST-TO-PONDER1^*
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She's done some real nice things in her life.
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BEFORE1G^ früher
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TO-LIVE1C erlebt
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SELF1A* selber
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BEAUTIFUL1A schön
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LIKE3B
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CARE1
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She was a great role model for me.
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I1
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LIKE3B
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GOOD1* gut
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ROLE-MODEL1* vorbild
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TO-BELONG1^*
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ROLE-MODEL1* vorbild
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PERSON1
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LIKE3A wie
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$GEST-OFF^
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ROLE-MODEL1* vorbild
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$GEST-OFF^
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How interesting.
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TO-GIVE1A^
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WEIRD2 [MG]
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Shall I tell you something now?
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I1*
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TO-TELL3A*
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ALSO1A auch
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Is he right about Diana?
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No, I can't say something about this topic.
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I2
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$INDEX1
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I don't know anything about Diana.
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TO-KNOW-STH-OR-SB1A*
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$ALPHA1:D
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ZERO6A null
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$ALPHA1:D-I-A-N-A diana
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$GEST-OFF^
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But I know she was the queen of England.
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BUT1* aber
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DEAF1A* erfahren
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TO-LEARN-STH1A*
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PERSON1
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KING1A* königin
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ENGLAND3 england
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YES2 ja
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But it didn't interest me that much.
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BUT1* aber
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I2*
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FAN2
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STRONG1A [MG]
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I2*
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Yeah, my mom told me a lot about her.
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$GEST-OFF^
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$GEST-NM-TO-SHRUG1^
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THROUGH2A durch
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$GEST-ATTENTION1^
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That's not something I think about.
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$INDEX1
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I2*
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THROUGH2A durch
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$GEST-OFF^
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I1
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MOTHER1* mutter
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TO-TELL4 erzählen
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TO-LIST1A*
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$INDEX2
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She talked about her accident, as well. That‘s why I knew so much about her.
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I1*
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TO-LOOK-AT3* [MG]
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THEREFORE1* darum
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$INDEX1
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IT-HAPPENS3 passiert
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ACCIDENT8
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I clearly remember the moment my mother told me about it, and how she explained it to me. I2
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MEMORY-OR-REMINDER3B erinnerung
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MEMORY-OR-REMINDER2
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$INDEX1
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BEFORE1G^
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MOTHER1* mutter
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TO-TELL3A* erzählen
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$INDEX1
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$ALPHA1:D-A dian{a}
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AND3* und
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GOOD1
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$INDEX1
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TO-EXPLAIN1* erklärt
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THEREFORE1 darum
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$GEST-OFF^
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At that time I was too little to know her.
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REASON4B grund
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I1
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SMALL3* [MG]
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YOUNG1 jung
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I2
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SMALL3
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I2
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TO-LEARN-STH1A* [MG]
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BEFOREHAND4*
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NOT-YET2* noch nicht
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I was like #X years old when all that happened.
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LATER10
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IT-HAPPENS3* passiert
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$INDEX1
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$NUM #x
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MEANING1* bedeutet
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I1* ich
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But now as a grown up I sure know about all this.
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LACK1^*
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HE-SHE-IT2 er
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MORE8B
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ADULTS1A [MG]
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CLEAR1B* klar
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Is there anything else you would like to say about Diana?
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How did you feel when you heard about the accident?
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That is a good question.
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GOOD1 gute
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QUESTION1* frage
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When it had happened/
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$INDEX1
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$INDEX1
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IT-HAPPENS1 passiert
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The day after it had happened, people didn't know if it was suicide or an accident due to a malfunction of the car.
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$INDEX1
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$INDEX1
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IT-HAPPENS3 passiert
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$INDEX1
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$NUM-ONE-TO-TEN1A:1d* ein
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DAY1A* tag
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LATER10*
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I2
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TO-LEARN-STH1A erfahren
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$INDEX1
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LIKE7A* wie
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EXACTLY1* genau
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ACCIDENT8 unfall
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SELF1A*
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MURDER2* selbstmord
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OR4A oder
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$INDEX1
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$GEST-TO-PONDER1^*
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00:01:13:06
MISTAKE6B* fehler
00:01:13:06
00:01:13:16
00:01:13:16
00:01:13:21
CAR1 auto
00:01:13:21
00:01:13:30
00:01:13:30
00:01:13:37
ACCIDENT8
00:01:13:37
00:01:13:44
00:01:13:44
00:01:13:48
I2*
00:01:13:48
00:01:14:04
00:01:14:04
00:01:14:10
TO-KNOW-OR-KNOWLEDGE2B* weiß
00:01:14:10
00:01:14:25
00:01:14:25
00:01:14:27
Then I was sad about it all.
00:01:14:27
00:01:14:31
THEN1A dann
00:01:14:31
00:01:14:39
00:01:14:39
00:01:14:44
$INDEX1
00:01:14:44
00:01:15:24
00:01:15:24
00:01:15:29
BIT2B* bisschen
00:01:15:29
00:01:15:36
00:01:15:36
00:01:15:40
I1
00:01:15:40
00:01:15:48
00:01:15:48
00:01:16:14
SAD1* traurig
00:01:16:14
00:01:16:23
00:01:16:23
00:01:16:32
VERY6^*
00:01:16:32
00:01:16:38
00:01:16:38
00:01:16:46
$INDEX1
00:01:16:46
00:01:17:03
00:01:17:03
00:01:17:14
I couldn't believe all this.
00:01:17:14
00:01:17:17
$INDEX1
00:01:17:17
00:01:17:25
00:01:17:25
00:01:17:28
I1* ich
00:01:17:28
00:01:17:36
00:01:17:36
00:01:17:43
$ALPHA1:N nicht
00:01:17:43
00:01:18:02
00:01:18:02
00:01:18:23
INCREDIBLE2* unglaub{lich}
00:01:18:23
00:01:18:28
00:01:18:28
00:01:18:37
NOT3A* nicht
00:01:18:37
00:01:19:04
00:01:19:04
00:01:19:10
$GEST-OFF^
00:01:19:10
00:01:19:15
As you know the accident happened in a tunnel.
00:01:19:15
00:01:19:21
$INDEX1
00:01:19:21
00:01:19:27
00:01:19:27
00:01:19:34
TO-BELIEVE2A glauben
00:01:19:34
00:01:19:41
00:01:19:41
00:01:19:43
ROUND-LONG1A^* tunnel
00:01:19:43
00:01:20:00
00:01:20:00
00:01:20:14
TUNNEL1*
00:01:20:14
00:01:20:40
00:01:20:40
00:01:20:48
IT-HAPPENS1 passiert
00:01:20:48
00:01:21:03
00:01:21:03
00:01:21:11
$PROD* {un}fall [MG]
00:01:21:11
00:01:21:21
00:01:21:21
00:01:22:01
$GEST-OFF^
00:01:22:01
00:01:22:23
00:01:22:23
00:01:23:06
It was sad that such a precious person was no longer alive. THEREFORE1* darum
00:01:23:06
00:01:23:12
00:01:23:12
00:01:23:17
$INDEX1
00:01:23:17
00:01:24:08
00:01:24:08
00:01:24:17
SAD1* traurig
00:01:24:17
00:01:24:29
00:01:24:29
00:01:24:35
$INDEX1
00:01:24:35
00:01:25:07
00:01:25:07
00:01:25:21
LIKE3B wie
00:01:25:21
00:01:25:37
00:01:25:37
00:01:25:44
PERSON1 person
00:01:25:44
00:01:26:06
00:01:26:06
00:01:26:10
VALUABLE1B* wertvoll
00:01:26:10
00:01:26:31
00:01:26:31
00:01:26:38
NOT-ANYMORE1A
00:01:26:38
00:01:26:39
00:01:26:39
00:01:26:48
THERE-IS3* gibt nicht
00:01:26:48
00:01:27:02
00:01:27:02
00:01:27:09
$INDEX1
00:01:27:09
00:01:27:15
00:01:27:15
00:01:27:29
And that she died so young.
00:01:27:29
00:01:27:45
YOUNG1 jung
00:01:27:45
00:01:28:26
00:01:28:26
00:01:28:31
WOMAN4A* frau
00:01:28:31
00:01:28:36
00:01:28:36
00:01:28:45
DEATH2 tot
00:01:28:45
00:01:29:04
00:01:29:04
00:01:29:18
YOUNG1 jung
00:01:29:18
00:01:29:23
00:01:29:23
00:01:30:00
$GEST-OFF^
00:01:30:00
00:01:30:04
00:01:30:04
00:01:30:15
Everyone thought she would continue living as the queen with that man, but now she is no longer with us.
00:01:30:15
00:01:30:20
THEREFORE1 darum
00:01:30:20
00:01:30:27
00:01:30:27
00:01:30:33
$INDEX1
00:01:30:33
00:01:31:04
00:01:31:04
00:01:31:10
KING1A* könig
00:01:31:10
00:01:31:28
00:01:31:28
00:01:31:39
PROCEEDING2^*
00:01:31:39
00:01:31:43
00:01:31:43
00:01:31:45
SAME2B*
00:01:31:45
00:01:31:47
00:01:31:47
00:01:32:08
TO-KNOW-OR-KNOWLEDGE2B^
00:01:32:08
00:01:32:10
00:01:32:10
00:01:32:17
SAME2B* selbe
00:01:32:17
00:01:32:22
00:01:32:22
00:01:32:25
FREE3^*
00:01:32:25
00:01:32:32
00:01:32:32
00:01:32:39
MAN1 mann
00:01:32:39
00:01:32:44
00:01:32:44
00:01:33:03
PROCEEDING1^
00:01:33:03
00:01:33:10
00:01:33:10
00:01:33:19
$GEST-OFF^
00:01:33:19
00:01:33:21
00:01:33:21
00:01:33:29
$INDEX1
00:01:33:29
00:01:33:40
00:01:33:40
00:01:33:44
NOT-ANYMORE1A ni{cht} mehr
00:01:33:44
00:01:34:01
00:01:34:01
00:01:34:10
TO-CUT-WITH-SCISSORS1^* [MG]
00:01:34:10
00:01:34:15
00:01:34:15
00:01:34:29
$GEST-OFF^
00:01:34:29
00:01:35:07
00:01:35:07
00:01:35:16
Therefore, this story moved me a lot back then.
00:01:35:16
00:01:35:27
PROCEEDING2^ darum
00:01:35:27
00:01:35:31
00:01:35:31
00:01:35:33
$GEST-OFF^
00:01:35:33
00:01:36:00
00:01:36:00
00:01:36:04
TO-CUT-WITH-SCISSORS1^*
00:01:36:04
00:01:36:13
00:01:36:13
00:01:36:25
BEFORE1G^
00:01:36:25
00:01:36:37
00:01:36:37
00:01:36:47
HISTORY-OR-STORY2* geschichte
00:01:36:47
00:01:37:03
00:01:37:03
00:01:37:08
TO-BELONG1^* für
00:01:37:08
00:01:37:15
00:01:37:15
00:01:37:22
FOR1* mich
00:01:37:22
00:01:37:31
00:01:37:31
00:01:37:35
GOOD1
00:01:37:35
00:01:37:45
00:01:37:45
00:01:38:11
$GEST-OFF^
00:01:38:11
00:01:38:32
00:01:38:32
00:01:42:29
Do you know how this accident happened?
00:01:42:29
00:01:42:35
That is a good question.
00:01:42:35
00:01:42:39
GOOD1 gute
00:01:42:39
00:01:42:40
00:01:42:40
00:01:42:47
QUESTION1* frage
00:01:42:47
00:01:43:02
00:01:43:02
00:01:43:10
$INDEX1
00:01:43:10
00:01:43:12
Well, the driver made a mistake. He drove the car into the tunnel.
00:01:43:12
00:01:43:38
$GEST-TO-PONDER1^*
00:01:43:38
00:01:44:12
00:01:44:12
00:01:44:19
ACCIDENT8 unfall
00:01:44:19
00:01:44:25
00:01:44:25
00:01:44:30
$INDEX1
00:01:44:30
00:01:44:41
00:01:44:41
00:01:44:46
$NUM-ONE-TO-TEN1A:1d
00:01:44:46
00:01:45:08
00:01:45:08
00:01:45:13
MAN1 mann
00:01:45:13
00:01:45:19
00:01:45:19
00:01:45:25
$INDEX1
00:01:45:25
00:01:45:37
00:01:45:37
00:01:45:40
MISTAKE6B* fehler
00:01:45:40
00:01:45:45
00:01:45:45
00:01:46:18
CAR-DRIVING2* [MG]
00:01:46:18
00:01:46:25
00:01:46:25
00:01:46:29
$INDEX1
00:01:46:29
00:01:46:49
00:01:46:49
00:01:47:07
LIKE6 wie
00:01:47:07
00:01:47:14
00:01:47:14
00:01:47:19
$INDEX1
00:01:47:19
00:01:47:40
00:01:47:40
00:01:47:46
NAME1A*
00:01:47:46
00:01:48:02
00:01:48:02
00:01:48:16
QUOTATION-MARKS1^*
00:01:48:16
00:01:48:25
00:01:48:25
00:01:48:32
$INDEX1
00:01:48:32
00:01:48:43
00:01:48:43
00:01:49:00
QUOTATION-MARKS2
00:01:49:00
00:01:49:13
00:01:49:13
00:01:49:31
TO-STEER-STEERING-WHEEL1^
00:01:49:31
00:01:49:35
00:01:49:35
00:01:49:41
$INDEX1
00:01:49:41
00:01:50:05
00:01:50:05
00:01:50:08
MAN1 mann
00:01:50:08
00:01:50:16
00:01:50:16
00:01:50:23
$PROD*
00:01:50:23
00:01:50:28
00:01:50:28
00:01:50:33
$INDEX1
00:01:50:33
00:01:50:49
00:01:50:49
00:01:51:10
ROUND-LONG1A^* tunnel
00:01:51:10
00:01:51:39
00:01:51:39
00:01:51:49
It was a car accident or/
00:01:51:49
00:01:52:03
$INDEX1
00:01:52:03
00:01:52:07
00:01:52:07
00:01:52:18
IT-HAPPENS1 passiert
00:01:52:18
00:01:52:22
00:01:52:22
00:01:52:25
$INDEX1
00:01:52:25
00:01:53:25
00:01:53:25
00:01:53:32
CAR1 auto
00:01:53:32
00:01:53:39
00:01:53:39
00:01:53:41
$PROD*
00:01:53:41
00:01:54:07
00:01:54:07
00:01:54:13
MISTAKE6B* fehler
00:01:54:13
00:01:54:26
00:01:54:26
00:01:54:33
$PROD* [MG]
00:01:54:33
00:01:54:42
00:01:54:42
00:01:55:00
$INDEX1
00:01:55:00
00:01:55:07
00:01:55:07
00:01:55:13
$INDEX1
00:01:55:13
00:01:55:15
00:01:55:15
00:01:55:26
It was suicide or/
00:01:55:26
00:01:55:31
MAN1 mann
00:01:55:31
00:01:55:44
00:01:55:44
00:01:56:02
SUICIDE1 selbstmord
00:01:56:02
00:01:56:09
00:01:56:09
00:01:56:12
$INDEX1
00:01:56:12
00:01:56:14
00:01:56:14
00:01:56:23
Or murder or so.
00:01:56:23
00:01:56:28
POSSIBLE2* möglich
00:01:56:28
00:01:56:36
00:01:56:36
00:01:56:44
DIVERSITY1
00:01:56:44
00:01:56:48
00:01:56:48
00:01:57:01
They investigated the accident.
00:01:57:01
00:01:57:13
$INDEX1
00:01:57:13
00:01:57:32
00:01:57:32
00:01:57:36
NEWSPAPER1A zeitung
00:01:57:36
00:01:57:40
00:01:57:40
00:01:58:00
RESEARCH1C forscht
00:01:58:00
00:01:58:05
00:01:58:05
00:01:58:11
$INDEX1
00:01:58:11
00:01:58:25
I don't really know.
00:01:58:25
00:01:58:31
I1
00:01:58:31
00:01:59:00
00:01:59:00
00:01:59:08
GENUINE1* richtig
00:01:59:08
00:01:59:13
00:01:59:13
00:01:59:22
$INDEX1
00:01:59:22
00:01:59:29
00:01:59:29
00:01:59:38
$GEST^
00:01:59:38
00:01:59:45
I just heard about her death, but I didn't know how it happened.
00:01:59:45
00:02:00:00
I1*
00:02:00:00
00:02:00:06
00:02:00:06
00:02:00:14
FIRST1A zuerst
00:02:00:14
00:02:00:17
00:02:00:17
00:02:00:20
TO-PERCEIVE-EYE1A^*
00:02:00:20
00:02:00:26
00:02:00:26
00:02:00:31
DEATH2 tot
00:02:00:31
00:02:00:35
00:02:00:35
00:02:00:38
I1*
00:02:00:38
00:02:00:44
00:02:00:44
00:02:00:48
SAD6 traurig
00:02:00:48
00:02:01:04
00:02:01:04
00:02:01:08
END1^ aber
00:02:01:08
00:02:01:12
00:02:01:12
00:02:01:22
$INDEX1
00:02:01:22
00:02:01:33
00:02:01:33
00:02:01:43
IT-HAPPENS3 passiert
00:02:01:43
00:02:01:48
00:02:01:48
00:02:02:04
$INDEX1
00:02:02:04
00:02:02:11
00:02:02:11
00:02:02:16
EXACTLY1* genau
00:02:02:16
00:02:02:32
00:02:02:32
00:02:02:39
$GEST-OFF^*
00:02:02:39
00:02:02:42
00:02:02:42
00:02:02:44
They drove into the tunnel.
00:02:02:44
00:02:02:49
$INDEX1
00:02:02:49
00:02:03:13
00:02:03:13
00:02:03:25
CAR-DRIVING2 tunnel
00:02:03:25
00:02:03:31
00:02:03:31
00:02:03:35
$INDEX1
00:02:03:35
00:02:03:42
00:02:03:42
00:02:04:04
$PROD*
00:02:04:04
00:02:04:11
00:02:04:11
00:02:04:12
I don't know if it was suicide or a mistake by the driver.
00:02:04:12
00:02:04:15
$INDEX1
00:02:04:15
00:02:04:43
00:02:04:43
00:02:04:49
LIKE6 wie
00:02:04:49
00:02:05:09
00:02:05:09
00:02:05:14
SUICIDE1 selbstmord
00:02:05:14
00:02:05:22
00:02:05:22
00:02:05:27
$INDEX1
00:02:05:27
00:02:05:40
00:02:05:40
00:02:06:00
$PROD*
00:02:06:00
00:02:06:17
00:02:06:17
00:02:06:19
MISTAKE6B*
00:02:06:19
00:02:06:24
00:02:06:24
00:02:06:30
SELF1A*
00:02:06:30
00:02:06:38
00:02:06:38
00:02:06:45
MISTAKE6B* fehler
00:02:06:45
00:02:07:06
00:02:07:06
00:02:07:10
EXAMPLE1^ [MG]
00:02:07:10
00:02:07:16
00:02:07:16
00:02:07:39
$GEST-OFF^
00:02:07:39
00:02:08:09
00:02:08:09
00:02:09:18
I have been know it from rumors. Do you know how it happened?
00:02:09:18
00:02:09:23
00:02:09:23
00:02:09:35
I2
00:02:09:35
00:02:10:00
00:02:10:00
00:02:10:21
$GEST-TO-PONDER1^
00:02:10:21
00:02:10:34
00:02:10:34
00:02:10:40
TO-LEARN-STH1A* erfahren
00:02:10:40
00:02:10:49
00:02:10:49
00:02:11:06
$INDEX1
00:02:11:06
00:02:11:30
00:02:11:30
00:02:11:37
IF1 ob
00:02:11:37
00:02:12:03
00:02:12:03
00:02:12:10
MOST2* meist
00:02:12:10
00:02:12:17
00:02:12:17
00:02:12:43
RUMOUR1 info
00:02:12:43
00:02:12:49
00:02:12:49
00:02:13:03
It either was murder, they said.
00:02:13:03
00:02:13:11
AND5 und
00:02:13:11
00:02:13:27
00:02:13:27
00:02:13:30
SELF1A*
00:02:13:30
00:02:14:07
00:02:14:07
00:02:14:16
MURDER2 mordversuch
00:02:14:16
00:02:14:24
00:02:14:24
00:02:14:43
TO-TRY2
00:02:14:43
00:02:15:00
00:02:15:00
00:02:15:09
MURDER2 mordversuch
00:02:15:09
00:02:15:19
00:02:15:19
00:02:15:25
TO-TRY2
00:02:15:25
00:02:15:30
00:02:15:30
00:02:15:43
MURDER2 mord
00:02:15:43
00:02:16:04
00:02:16:04
00:02:16:13
Or it was an accident.
00:02:16:13
00:02:16:35
OR4B oder
00:02:16:35
00:02:17:05
00:02:17:05
00:02:17:15
GENUINE1 echt
00:02:17:15
00:02:17:27
00:02:17:27
00:02:17:30
SELF1A* selbst
00:02:17:30
00:02:17:42
00:02:17:42
00:02:18:00
ACCIDENT8 unfall
00:02:18:00
00:02:18:07
00:02:18:07
00:02:18:16
TO-LIE2* lügen
00:02:18:16
00:02:18:22
I don't know anything else.
00:02:18:22
00:02:18:27
I2*
00:02:18:27
00:02:18:37
00:02:18:37
00:02:18:44
NOT1 weiß nicht
00:02:18:44
00:02:19:05
00:02:19:05
00:02:19:23
I didn't follow up on the topic. I2
00:02:19:23
00:02:19:30
00:02:19:30
00:02:19:38
$GEST-OFF^
00:02:19:38
00:02:20:05
00:02:20:05
00:02:20:09
I2
00:02:20:09
00:02:20:16
00:02:20:16
00:02:20:21
NO-CLUE1* [MG]
00:02:20:21
00:02:20:31
00:02:20:31
00:02:20:36
NOTHING1B nichts
00:02:20:36
00:02:20:46
00:02:20:46
00:02:21:07
$ORAL^ egal
00:02:21:07
00:02:21:08
00:02:21:08
00:02:21:15
RESEARCH1A^
00:02:21:15
00:02:21:21
00:02:21:21
00:02:21:27
I2*
00:02:21:27
00:02:21:32
00:02:21:32
00:02:21:40
$GEST-OFF^
00:02:21:40
00:02:21:48
00:02:21:48
00:02:22:05
NOTHING1B nichts
00:02:22:05
00:02:22:18
00:02:22:18
00:02:22:25
That's how heard of it.
00:02:22:25
00:02:22:30
ONLY2A* nur
00:02:22:30
00:02:22:35
00:02:22:35
00:02:22:37
TO-LEARN-STH1A*
00:02:22:37
00:02:22:43
00:02:22:43
00:02:22:49
DONE1A [MG]
00:02:22:49
00:02:23:08
00:02:23:08
00:02:23:15
TO-LET-KNOW1A* [MG]
00:02:23:15
00:02:23:22
00:02:23:22
00:02:23:34
$GEST-OFF^ [MG]
00:02:23:34
00:02:25:27
00:02:25:27
00:02:28:20
00:02:28:20
00:02:32:06
From where and how did you learn of Diana's death?
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Well, I saw it on television the next day.
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$INDEX1
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THROUGH2A durch
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TO-FLICKER1^ fernsehen
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$NUM-ONE-TO-TEN1A:1d ein
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DAY1A tag
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LATER10*
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They covered the topic on all channels.
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TO-FLICKER1^ fern{sehen}
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TO-SPREAD2^ [MG]
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I saw it on TV a day after it happened.
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TO-FLICKER1^* fernseher
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$INDEX1
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$NUM-ONE-TO-TEN1A:1d ein
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DAY1A* tag
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IT-HAPPENS3 passiert
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$NUM-ONE-TO-TEN1A:1d ein
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DAY1A tag
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DAY5*
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I1*
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TO-LOOK-AT3* [MG]
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My mom said, “Look!” $GEST-TO-PONDER1^
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MOTHER4* mutter
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TO-LOOK1* schau mal
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$INDEX1
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After that we watched TV together and she was very sad.
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SAD6 traurig
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$INDEX1
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GOOD1*
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My mom talked about death then and she became even sadder.
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MUM10* mama
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TO-LET-KNOW1A*
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$INDEX1
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DEATH2 tod
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SAD6 tra{urig}
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I2
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We followed up on the whole topic, even until the big funeral, which was also very sad.
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$INDEX1
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THEREFORE1
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SAD1* traurig
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VERY2^*
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SAD1* traurig
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UNTIL1* bis
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$GEST-TO-PONDER1^*
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CITY2* stadt
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$PROD* [MG]
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$INDEX1
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GRAVEYARD1 friedhof
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$PROD*
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$INDEX1
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TO-SEE1
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REASON4B
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SAD6 traurig
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$GEST-OFF^
00:02:50:41
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That's why.
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THEREFORE1 darum
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$GEST-OFF^*
00:02:51:23
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Every year one thinks of her.
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$INDEX1
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EVERY1B* jedes
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YEAR2B jahr
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MEMORY-OR-REMINDER2* eri{nner}ung
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$ALPHA1:D-I-A dia{na}
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PERSON1
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ALWAYS1C immer
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Because she was something special.
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MEMORY-OR-REMINDER2
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SPIKY1A spitze
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PERSON1
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Usually one remembers such occasions only at five or ten year anniversaries.
00:02:57:13
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PROCEEDING2^
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ONLY2A nur
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FIGURE2A^*
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YEAR1A* fünf jahr
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SPECIAL-OR-PARTICULARLY4 besonders
00:02:58:27
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YEAR1A* zehn jahr
00:02:59:03
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SPECIAL-OR-PARTICULARLY4 beson{ders}
00:02:59:17
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00:02:59:26
If you see Diana, you automatically remember everything from the past.
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$INDEX1 aber
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$ALPHA1:D-I-A dia{na}
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STILL2* noch
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TO-SEE1*
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$INDEX1
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MEMORY-OR-REMINDER2 eri{nner}ung
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PAST-OR-BACK-THEN2
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$GEST-OFF^
00:03:01:45
00:03:02:14
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Did you go to the funeral?
00:03:02:17
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TO-CELEBRATE1
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TO-GO-THERE1*
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No, it was too far away.
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FAR1 zu weit
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TOWARDS9*
00:03:04:27
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00:03:04:41
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You mean writing a letter and sending it there?
00:03:07:00
00:03:07:16
No, I meant if he was there at the memorial but he just said he wasn't.
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OPINION1B meine
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YOU1
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TO-CELEBRATE1*
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MEMORY-OR-REMINDER2 erinnerung
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TO-CELEBRATE1
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TO-GO-THERE1*
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AT-HOME1A*
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BACK1A* zurück
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$GEST^
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$INDEX1
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INVOLVED1A* dabei
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YOU1 du
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If the date fits my calendar, maybe.
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TO-MATCH1 passt
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$GEST-TO-PONDER1^*
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APPOINTMENT1A termin
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TIME1*
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$GEST^ [MG]
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I2 [MG]
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Anyways, I have always missed it so far.
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FOR1^*
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PAST1^* verpasst
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GONE-OR-MISSED1B futsch
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I2
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I don't know if I would go.
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IF1 ob
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I2
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$INDEX2
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I2
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$GEST-OFF^
00:03:16:49
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Where there things that made her really special to you?
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She was special because she was there for the poor and the children around the world.
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HAT-OFF1* respekt
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AND2A
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HAT-OFF1*
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PERSON1
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$INDEX1
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FOR1 für
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$GEST-TO-PONDER1^
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WORLD1 welt
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$INDEX1
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POVERTY2* arme
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EVERYONE1B jede
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She hugged them and cared for them.
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TO-HUG2* umarmen
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CARE1 pflegen
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TO-FEED1* füttern
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FOR1* für
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HUMAN2* menschen
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The poor were glad when she visited.
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TOGETHER-PERSON2B^*
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$GEST-TO-PONDER1^
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PEOPLE2 arme
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POVERTY2
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TO-LAUGH1^ froh
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PERSON1
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TO-COME2
00:03:53:07
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She was the queen with a heart for/
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PERSON1
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KING1A* könig
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HEART2B* herz
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PERSON1 für
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FOR1
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00:03:55:45
She had a heart for children. $GEST-TO-PONDER1^
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HEART2B*
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FOR1* für
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HEART2B* herz
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FOR1 für
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CHILD2* kinder
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TO-SWARM1* [MG]
00:03:57:48
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00:03:58:17
I admire her for that.
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I1*
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RESPECT2 [MG]
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ON-PERSON1*
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I2
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THEREFORE1 darum
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$GEST-OFF^
00:03:59:33
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Oh well, so you think if Diana was still alive the world would be a lot better or what?
00:04:00:07
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$GEST^
00:04:00:14
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IMAGINATION1B* vorstellung
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$INDEX1
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$ALPHA1:D-I-A-N-A diana
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NOT3B*
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TO-DIE2*
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TO-LIVE4* leben
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FURTHER1A weiter
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IMAGINATION1B*
00:04:03:36
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YOU1*
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BETTER1* besser
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WORLD1 welt
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EITHER3 [MG]
00:04:05:08
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I don't know.
00:04:05:12
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$GEST-OFF^ [MG]
00:04:05:20
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$GEST-OFF^ [MG]
00:04:05:48
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I think so. I1*
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TO-THINK1B denk
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YES1A* ja auch
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$GEST-OFF^
00:04:07:10
00:04:07:25
She would have continued the work she was already doing.
00:04:07:25
00:04:07:30
ALSO1A* auch
00:04:07:30
00:04:08:01
00:04:08:01
00:04:08:11
TO-RUN-MACHINE1 läuft
00:04:08:11
00:04:08:20
00:04:08:20
00:04:08:34
IT-WORKS-OUT1* klappt
00:04:08:34
00:04:08:42
00:04:08:42
00:04:08:49
She was a very loving person.
00:04:08:49
00:04:09:03
I1*
00:04:09:03
00:04:09:09
00:04:09:09
00:04:09:12
TO-BE-CRAZY-ABOUT-STH1A^
00:04:09:12
00:04:09:20
00:04:09:20
00:04:09:24
ON-PERSON1
00:04:09:24
00:04:09:41
00:04:09:41
00:04:09:48
LOVELY1B lieb
00:04:09:48
00:04:10:08
00:04:10:08
00:04:10:16
HUMAN2 mensch
00:04:10:16
00:04:10:29
00:04:10:29
00:04:10:40
LOVELY1B lieb
00:04:10:40
00:04:11:01
00:04:11:01
00:04:11:02
$INDEX1
00:04:11:02
00:04:11:17
She had a heart for children.
00:04:11:17
00:04:11:30
FOR1* für
00:04:11:30
00:04:11:45
00:04:11:45
00:04:12:01
HEART2B* herz
00:04:12:01
00:04:12:07
00:04:12:07
00:04:12:13
CHILD2*
00:04:12:13
00:04:12:30
Something would have developed.
00:04:12:30
00:04:12:44
TO-DEVELOP1B
00:04:12:44
00:04:12:49
00:04:12:49
00:04:13:02
$GEST-OFF^
00:04:13:02
00:04:13:04
00:04:13:04
00:04:13:13
I don't know if the world would have changed, as you said, because of her.
00:04:13:13
00:04:13:21
NOT3A nicht
00:04:13:21
00:04:14:09
00:04:14:09
00:04:14:18
TO-ALTER2 anders
00:04:14:18
00:04:14:31
00:04:14:31
00:04:14:39
WORLD1 welt
00:04:14:39
00:04:14:45
00:04:14:45
00:04:15:07
$GEST-OFF^ [MG]
00:04:15:07
00:04:15:17
00:04:15:17
00:04:15:27
YOU1 aber
00:04:15:27
00:04:15:40
00:04:15:40
00:04:15:47
TO-THINK1A denk
00:04:15:47
00:04:16:04
00:04:16:04
00:04:16:08
$GEST-OFF^ [MG]
00:04:16:08
00:04:16:15
00:04:16:15
00:04:16:18
EXAMPLE1* beispiel
00:04:16:18
00:04:16:28
00:04:16:28
00:04:16:33
A-MOMENT-AGO2*
00:04:16:33
00:04:16:41
Africa could be better of now.
00:04:16:41
00:04:16:43
TO-TELL4* erzählen
00:04:16:43
00:04:16:49
MAYBE3* vielleicht
00:04:16:49
00:04:17:00
00:04:17:00
00:04:17:02
$INDEX2
00:04:17:02
00:04:17:06
00:04:17:06
00:04:17:11
EXAMPLE1* beispiel
00:04:17:11
00:04:17:14
00:04:17:14
00:04:17:17
AFRICA1 afri{ka}
00:04:17:17
00:04:17:21
$GEST-OFF^
00:04:17:21
00:04:17:22
00:04:17:22
00:04:17:31
00:04:17:31
00:04:17:45
BETTER1* besten
00:04:17:45
00:04:18:03
They have problems with the food supply.
00:04:18:03
00:04:18:06
$INDEX1
00:04:18:06
00:04:18:24
00:04:18:24
00:04:18:32
TO-FEED1^*
00:04:18:32
00:04:18:41
00:04:18:41
00:04:18:47
TO-EAT-OR-FOOD1 essen
00:04:18:47
00:04:19:03
00:04:19:03
00:04:19:09
NOW3* jetzt
00:04:19:09
00:04:19:19
00:04:19:19
00:04:19:34
PROBLEM1* problem
00:04:19:34
00:04:19:43
00:04:19:43
00:04:19:49
WITH1A mit
00:04:19:49
00:04:20:06
00:04:20:06
00:04:20:18
TO-EAT-OR-FOOD1
00:04:20:18
00:04:20:22
00:04:20:22
00:04:20:36
$GEST-OFF^
00:04:20:36
00:04:21:02
00:04:21:02
00:04:23:36
00:04:23:36
00:04:26:18
Did Diana also care for deaf people?
00:04:26:18
00:04:26:33
I don't know anything about that.
00:04:26:33
00:04:26:35
I2
00:04:26:35
00:04:26:44
00:04:26:44
00:04:26:47
TO-KNOW-OR-KNOWLEDGE2B weiß
00:04:26:47
00:04:27:04
00:04:27:04
00:04:27:11
NOT3A* nicht
00:04:27:11
00:04:27:22
00:04:27:22
00:04:27:36
Yes, that‘s right.
00:04:27:36
00:04:28:03
RIGHT-OR-AGREED1A stimmt
00:04:28:03
00:04:28:05
00:04:28:05
00:04:28:09
I once heard that she could sign a little bit.
00:04:28:09
00:04:28:17
I2
00:04:28:17
00:04:28:31
00:04:28:31
00:04:28:38
TO-LEARN-STH1A* erfahren
00:04:28:38
00:04:28:49
00:04:28:49
00:04:29:05
$INDEX1
00:04:29:05
00:04:29:18
00:04:29:18
00:04:29:23
CAN2B kann
00:04:29:23
00:04:29:31
00:04:29:31
00:04:29:39
$ALPHA1:D diana
00:04:29:39
00:04:29:41
00:04:29:41
00:04:29:47
BIT2A bis{schen}
00:04:29:47
00:04:30:02
00:04:30:02
00:04:30:38
TO-SIGN1A
00:04:30:38
00:04:30:46
Diana took lessons and learned signing, that’s what I heard of.
00:04:30:46
00:04:31:01
TO-LEARN3* gelernt
00:04:31:01
00:04:31:09
00:04:31:09
00:04:31:26
TO-TEACH1*
00:04:31:26
00:04:31:32
00:04:31:32
00:04:31:44
YES2
00:04:31:44
00:04:32:01
00:04:32:01
00:04:32:07
BEEN1 gewe{sen}
00:04:32:07
00:04:32:17
00:04:32:17
00:04:32:26
TO-LEARN-STH1A* erfahren
00:04:32:26
00:04:32:35
00:04:32:35
00:04:33:10
$ALPHA1:D-I-A-N-A diana
00:04:33:10
00:04:33:30
00:04:33:30
00:04:33:40
But why and how, I don't know.
00:04:33:40
00:04:34:18
$INDEX1
00:04:34:18
00:04:34:31
00:04:34:31
00:04:34:46
WHERE-FROM1 woher
00:04:34:46
00:04:35:18
00:04:35:18
00:04:35:23
$GEST-OFF^ [MG]
00:04:35:23
00:04:35:31
00:04:35:31
00:04:35:42
$INDEX1 grund
00:04:35:42
00:04:35:47
00:04:35:47
00:04:36:09
REASON4B
00:04:36:09
00:04:36:15
00:04:36:15
00:04:36:22
WHERE-FROM1 woher
00:04:36:22
00:04:36:25
00:04:36:25
00:04:36:32
I2 weiß
00:04:36:32
00:04:36:34
00:04:36:34
00:04:36:45
NOT1* nicht
00:04:36:45
00:04:36:48
00:04:36:48
00:04:37:02
$INDEX1 aber
00:04:37:02
00:04:37:08
00:04:37:08
00:04:37:13
I have seen her signing in a video once. BEEN1 gewesen
00:04:37:13
00:04:37:24
00:04:37:24
00:04:37:29
TO-SEE1
00:04:37:29
00:04:37:35
00:04:37:35
00:04:37:43
VIDEO1* video
00:04:37:43
00:04:37:49
00:04:37:49
00:04:38:11
TO-SIGN1A*
00:04:38:11
00:04:38:15
00:04:38:15
00:04:38:22
CAN1* kann
00:04:38:22
00:04:38:33
00:04:38:33
00:04:38:39
$GEST-OFF^
00:04:38:39
00:04:38:45
00:04:38:45
00:04:39:07
I don't know anything about that.
00:04:39:07
00:04:39:09
I2
00:04:39:09
00:04:39:16
00:04:39:16
00:04:39:24
NONE1* kei{ne}
00:04:39:24
00:04:39:32
00:04:39:32
00:04:39:38
NOTION1 ahnung
00:04:39:38
00:04:39:45
00:04:39:45
00:04:39:48
$GEST-OFF^*I2
00:04:39:48
00:04:40:04
00:04:40:04
00:04:40:09
THEREFORE1* darum
00:04:40:09
00:04:40:17
00:04:40:17
00:04:40:27
QUESTION1* frage
00:04:40:27
00:04:40:37
00:04:40:37
00:04:40:45
NONE1* kei{ne}
00:04:40:45
00:04:40:47
00:04:40:47
00:04:41:02
NOTION1 ahnung
00:04:41:02
00:04:41:06
00:04:41:06
00:04:41:09
I2
00:04:41:09
00:04:41:29
00:04:41:29
00:04:44:14
He is right. I will tell you more about it later.
00:04:44:14
00:04:44:22
Okay.
00:04:44:22
00:04:44:31
OKAY1A okay
00:04:44:31
00:04:44:48
00:04:44:48
00:04:48:22
Alright, how many children did Diana had?
00:04:48:22
00:04:48:36
Two children. Right, two kids.
00:04:48:36
00:04:49:07
$GEST-TO-PONDER1^
00:04:49:07
00:04:49:16
00:04:49:16
00:04:49:26
$NUM-ONE-TO-TEN1A:2 CLEAR1B* klar klar
00:04:49:26
00:04:49:35
00:04:49:35
00:04:49:39
CHILD1 kind
00:04:49:39
00:04:49:41
00:04:49:41
00:04:49:46
00:04:49:46
00:04:50:15
$NUM-ONE-TO-TEN1A:2
00:04:50:15
00:04:50:24
$NUM-ONE-TO-TEN1A:2 zwei
00:04:50:24
00:04:50:41
00:04:50:41
00:04:50:44
They are two brothers, an older one and a younger one. CHILD2 kinder
00:04:50:44
00:04:51:00
00:04:51:00
00:04:51:09
BROTHER1A* brüder CLEAR1B* klar
00:04:51:09
00:04:51:16
00:04:51:16
00:04:51:28
BOTH2A
00:04:51:28
00:04:51:35
00:04:51:35
00:04:51:43
BROTHER1A* brüder
00:04:51:43
00:04:52:05
00:04:52:05
00:04:52:16
DIFFERENCE2^*
00:04:52:16
00:04:56:12
00:04:56:12
00:04:56:21
One of them married recently. $GEST-TO-PONDER1^
00:04:56:21
00:04:56:23
00:04:56:23
00:04:56:32
A-MOMENT-AGO2* [MG]
00:04:56:32
00:04:56:39
00:04:56:39
00:04:56:42
$INDEX1
00:04:56:42
00:04:57:01
00:04:57:01
00:04:57:08
TO-MARRY1A heiraten
00:04:57:08
00:04:57:21
00:04:57:21
00:04:57:32
$INDEX1
00:04:57:32
00:04:58:09
The big brother is now a married man.
00:04:58:09
00:04:58:16
PERSON1
00:04:58:16
00:04:58:34
00:04:58:34
00:04:58:42
TO-MARRY1A verhei{ratet}
00:04:58:42
00:04:59:10
00:04:59:10
00:04:59:16
MAN1 mann
00:04:59:16
00:04:59:30
00:04:59:30
00:04:59:36
BROTHER1A* bruder
00:04:59:36
00:04:59:47
00:04:59:47
00:05:00:09
TALL5A groß
00:05:00:09
00:05:00:16
00:05:00:16
00:05:00:21
$INDEX1
00:05:00:21
00:05:00:32
00:05:00:32
00:05:00:42
He recently married Kate, isn't it?
00:05:00:42
00:05:00:46
SUCCESS1^*
00:05:00:46
00:05:01:08
00:05:01:08
00:05:01:12
$NUM-WEEK-BEFORE-NOW1:1 eine woche
00:05:01:12
00:05:01:17
00:05:01:17
00:05:01:23
SUCCESS1^
00:05:01:23
00:05:01:40
00:05:01:40
00:05:02:01
TO-MARRY1A verheira{tet}
00:05:02:01
00:05:02:08
00:05:02:08
00:05:02:12
$INDEX1
00:05:02:12
00:05:02:20
00:05:02:20
00:05:02:25
NAME1A* name
00:05:02:25
00:05:02:34
00:05:02:34
00:05:03:18
$ALPHA1:K-A-T-E kate
00:05:03:18
00:05:03:23
00:05:03:23
00:05:03:28
RIGHT-OR-AGREED1A stimmt
00:05:03:28
00:05:03:41
00:05:03:41
00:05:04:00
$ALPHA1:K-A-T-A-T-E kate
00:05:04:00
00:05:04:24
No idea.
00:05:04:24
00:05:04:33
$GEST^
00:05:04:33
00:05:04:40
00:05:04:40
00:05:04:47
00:05:04:47
00:05:05:23
They are married, congratulations.
00:05:05:23
00:05:05:31
$INDEX1
00:05:05:31
00:05:05:39
00:05:05:39
00:05:05:47
TOGETHER3A* zusammen
00:05:05:47
00:05:06:03
00:05:06:03
00:05:06:06
$INDEX1
00:05:06:06
00:05:06:18
00:05:06:18
00:05:06:23
TO-MARRY1A verhei{ratet}
00:05:06:23
00:05:06:26
00:05:06:26
00:05:06:31
PAST1^*
00:05:06:31
00:05:07:00
00:05:07:00
00:05:07:13
CONGRATULATION2 glückwunsch
00:05:07:13
00:05:08:00
00:05:08:00
00:05:08:01
They love each other.
00:05:08:01
00:05:08:12
$GEST-TO-PONDER1^
00:05:08:12
00:05:08:24
00:05:08:24
00:05:08:30
TOGETHER3A darum
00:05:08:30
00:05:08:36
00:05:08:36
00:05:08:39
THEREFORE1*
00:05:08:39
00:05:09:00
00:05:09:00
00:05:09:10
HEART1C^$INDEX1 liebe
00:05:09:10
00:05:09:13
00:05:09:13
00:05:09:34
$GEST-OFF^
00:05:09:34
00:05:10:03
I respect that.
00:05:10:03
00:05:10:09
IT-WORKS-OUT1 klappt
00:05:10:09
00:05:10:23
00:05:10:23
00:05:10:33
HAT-OFF1^*
00:05:10:33
00:05:10:45
00:05:10:45
00:05:11:03
APPLAUSE1 [MG]
00:05:11:03
00:05:11:20
00:05:11:20
00:05:14:47
Back to Diana: What was her job before she was married, do you know that?
00:05:14:47
00:05:15:19
No.
00:05:15:19
00:05:16:13
$GEST-NM-SHAKE-HEAD1^
00:05:16:13
00:05:16:28
00:05:16:28
00:05:16:39
I am not great at knowing all about her.
00:05:16:39
00:05:16:43
I2
00:05:16:43
00:05:17:18
00:05:17:18
00:05:17:22
SMART3
00:05:17:22
00:05:17:28
00:05:17:28
00:05:17:36
NOT2 [MG]
00:05:17:36
00:05:17:39
00:05:17:39
00:05:17:43
I2
00:05:17:43
00:05:18:00
00:05:18:00
00:05:18:11
TOGETHER2B^
00:05:18:11
00:05:18:26
00:05:18:26
00:05:21:05
Who did Diana marry?
00:05:21:05
00:05:21:24
Prince Williams.
00:05:21:24
00:05:22:07
$ALPHA1:P-R-I-N-C* prinz
00:05:22:07
00:05:22:15
00:05:22:15
00:05:23:17
$ALPHA1:W-I-L-L-I-A-M-S william
00:05:23:17
00:05:23:26
Or William, I don't know.
00:05:23:26
00:05:23:34
IF4* ob
00:05:23:34
00:05:24:16
00:05:24:16
00:05:24:18
$ALPHA1:W
00:05:24:18
00:05:24:23
00:05:24:23
00:05:24:45
$ALPHA1:P-I-N prince
00:05:24:45
00:05:25:02
00:05:25:02
00:05:26:19
$ALPHA1:W-I-L-L-M william
00:05:26:19
00:05:26:26
00:05:26:26
00:05:26:33
I2 ich glaube
00:05:26:33
00:05:27:14
00:05:27:14
00:05:28:01
00:05:28:01
00:05:28:35
Well, I think he is right.
00:05:28:35
00:05:28:38
I2 ich glaube
00:05:28:38
00:05:29:04
00:05:29:04
00:05:29:12
RIGHT-OR-CORRECT1A* richtig
00:05:29:12
00:05:29:18
00:05:29:18
00:05:29:27
TO-BELIEVE2A* glaube
00:05:29:27
00:05:30:06
00:05:30:06
00:05:30:23
$GEST-OFF^
00:05:30:23
00:05:30:28
00:05:30:28
00:05:30:36
GOOD1*
00:05:30:36
00:05:30:43
00:05:30:43
00:05:30:49
$GEST-OFF^
00:05:30:49
00:05:31:05
00:05:31:05
00:05:31:08
Charles! C-H-A-R-L-E-S.
00:05:31:08
00:05:31:16
TO-BELIEVE2A* glaube
00:05:31:16
00:05:31:21
00:05:31:21
00:05:31:26
GOOD1
00:05:31:26
00:05:32:03
00:05:32:03
00:05:33:29
00:05:33:29
00:05:33:47
Yeah, that's true.
00:05:33:47
00:05:34:08
$GEST-TO-TAP-ONES-FOREHEAD1^
00:05:34:08
00:05:34:17
Prince Charles William, isn't it?
00:05:34:17
00:05:34:25
$ALPHA1:K-I-N prince
00:05:34:25
00:05:34:31
00:05:34:31
00:05:34:36
00:05:34:36
00:05:35:03
$INIT-STRAIGHT1^* charles
00:05:35:03
00:05:35:17
00:05:35:17
00:05:35:29
$INIT-STRAIGHT1^* william
00:05:35:29
00:05:35:35
00:05:35:35
00:05:35:47
RIGHT-OR-AGREED1A stimmt
00:05:35:47
00:05:36:05
00:05:36:05
00:05:36:13
I2
00:05:36:13
00:05:36:14
00:05:36:14
00:05:36:42
It‘s a remarkable name.
00:05:36:42
00:05:37:05
TO-STRIKE1A^ [MG]
00:05:37:05
00:05:37:33
00:05:37:33
00:05:39:34
And do you know something about the Queen of England?
00:05:39:34
00:05:40:03
In London.
00:05:40:03
00:05:40:15
LONDON1 london
00:05:40:15
00:05:40:18
00:05:40:18
00:05:40:24
00:05:40:24
00:05:40:34
AREA1A^
00:05:40:34
00:05:40:42
00:05:40:42
00:05:41:12
LONDON1 london
00:05:41:12
00:05:41:16
00:05:41:16
00:05:41:20
Yes, in London. The queen is right in the center. $GEST-OFF^
00:05:41:20
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MEANS2B [MG]
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LONDON1 london
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MIDDLE2B
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KING1A* königin
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$INDEX1
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$GEST-TO-PONDER1^
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$INDEX1
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It is a big family.
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BUT1 aber
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$INDEX1* [MG]
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BIG3A* groß
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FAMILY4 familie
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FAMILY3*
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I just know some of them.
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TO-LIST1C*
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ONLY2A*
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BIT2A bestimmte
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$INDEX1*
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YES1A ja
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I don't know all of them, just a few.
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BUT1 aber
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MUCH-OR-MANY5 zu viel
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ALL1A alle
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NO1A
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ONLY2A nur
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ALL2A^*
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I know Diana and the grandma for example.
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$INDEX1 beispiel
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EXAMPLE1*
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$GEST-TO-PONDER1^
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$ALPHA1:D diana
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GRANDMA1C oma
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THEN1B
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$INDEX1
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GRANDMA1C oma
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THEN1B
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$INDEX1
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$GEST-TO-PONDER1^
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I don't know all the names.
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ALSO1A*
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I1
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ALL1B* alle
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NAME1A* name
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Only the ones from the famous people.
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ONLY2A
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WELL-KNOWN1B bekannt
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PERSON1*
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I1
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FOR1* für
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Nothing else.
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DONE1B [MG]
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I know famous ones like Queen Elizabeth.
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NOT3A* mehr nicht I1
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MOST1B meiste
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PERSON1*
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ONLY2A
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I1
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$ALPHA1:Q queen
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$ALPHA1:Q-U-E-E-N
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$ALPHA1:E-L-I elisabeth
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NAME1A*
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TO-KNOW-STH-OR-SB1A [MG]
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And those brothers, the younger and older one.
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$GEST-TO-PONDER1^
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AND2A und
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$INDEX1
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BROTHER1A brüder
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YOUNG1* jung
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AND2A* und
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OLD4A* alt
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They were really present in the media.
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MORE1* mehr
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PRIMARILY1 [MG]
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$INDEX1
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MORE1 mehr
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TO-SHOW1A* zeigen zeigen
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But this Prince Charles William. I don't know him.
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BUT1* aber
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PERSON1
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$ALPHA1:C-A-L-S charles
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$ALPHA1:W william
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I2
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TO-SHOW1A* zeigt
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LITTLE-BIT4* wenig
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WHAT-DOES-IT-LOOK-LIKE1
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$GEST-OFF^ [MG]
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He, so to say, lives secluded. $GEST-NO-IDEA1^ [MG]
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TO-SHUT1A^
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LIKE6 wie
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TO-SHUT1A^ [MG]
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$GEST-OFF^ [MG]
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We know the British Kingdom, do you also know some other kings?
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Well yeah, there are other countries with kings as well.
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NO1A
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DIFFERENT2 andere
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COUNTRY1A land
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TO-OWN-TO-EXIST1 [MG]
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$PROD* [MG]
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KING1A* könig
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But in Germany we don't have a king.
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HERE1 aber
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GERMAN1 deutsch
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EMPTY1^
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We had one in the past, but not anymore.
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PAST-OR-BACK-THEN1 früher
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YES1A ja
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BUT1* [MG]
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NOW3* [MG]
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VANISHED1A [MG]
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$GEST-OFF^ [MG]
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Yeah, they are mainly in the north of Europe. There are a lot of kings.
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ONLY2A* nur
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$GEST-TO-PONDER1^
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EUROPE1A* europa
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NORTH1A nord
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AREA1A*
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MOST1B* [MG]
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KING1A* könig
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For example in England, Sweden, Finland and Norway.
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EXAMPLE1* zum bei{spiel}
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$GEST-TO-PONDER1^
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ENGLAND4* england
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$LIST1:2of2d
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SWEDEN1 schweden
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$LIST1:2of2d
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FINLAND1 finnland
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$LIST1:3of3d*
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$ALPHA1:N norwegen
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$PROD*
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$ALPHA1:N norwegen
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$PROD* But there are also some kings in the south like Spain or Monaco. BUT1 aber
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More in the north.
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ALSO1A auch
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NORTH1A
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SOUTH1B süd
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TO-OWN1 [MG]
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CLEAR1B klar
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SPAIN2* spanien
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$LIST1:2of2d
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$ALPHA1:M-O-N-C-O monaco
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$GEST-OFF^
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$LIST1:3of3d
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$GEST-OFF^
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$GEST-OFF^
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Are there more?
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MORE1* noch mehr
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$GEST-OFF^
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Mainly in Europe.
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PRIMARILY1*
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EUROPE1A
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PRIMARILY1* [MG]
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$GEST-OFF^
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