Link to the main project

DOI: 10.25592/dgs.corpus-4.0-text-1413485

1413485 (ber01): Experience Report

Topics Society: Lady Diana; Traffic: Accident; Traffic: Lady Diana

Time Translation Lexem/Gebärde Mouth Translation Lexeme/Sign Mouth Moderator
right hand left hand right hand left hand
00:00:00:00
00:00:00:27		 When I heard about Diana's fatal accident I was very sad.
00:00:00:27
00:00:00:33		 $INDEX-TO-SCREEN1
00:00:00:33
00:00:00:38
00:00:00:38
00:00:00:45		 THEREFORE1 darum
00:00:00:45
00:00:01:00
00:00:01:00
00:00:01:04		 $INDEX-TO-SCREEN1
00:00:01:04
00:00:01:15
00:00:01:15
00:00:01:29		 $ALPHA1:D-I-N-A diana
00:00:01:29
00:00:01:37
00:00:01:37
00:00:01:40		 $INDEX-TO-SCREEN1
00:00:01:40
00:00:02:00
00:00:02:00
00:00:02:16		 $GEST-TO-PONDER1^*
00:00:02:16
00:00:02:19
00:00:02:19
00:00:02:25		 $INDEX1
00:00:02:25
00:00:02:35
00:00:02:35
00:00:02:42		 ACCIDENT8 unfall
00:00:02:42
00:00:02:48
00:00:02:48
00:00:03:02		 I1
00:00:03:02
00:00:03:20
00:00:03:20
00:00:03:27		 SAD6A traurig
00:00:03:27
00:00:03:34		 When she was alive she gave the world and the poor protection, love and support.
00:00:03:34
00:00:03:38		 REASON4B grund
00:00:03:38
00:00:03:46
00:00:03:46
00:00:04:05		 $INDEX-TO-SCREEN1
00:00:04:05
00:00:04:17
00:00:04:17
00:00:04:27		 $ALPHA1:D-A dia{na}
00:00:04:27
00:00:04:36
00:00:04:36
00:00:04:47		 BEFORE1G^ früher
00:00:04:47
00:00:05:05
00:00:05:05
00:00:05:08		 $INDEX1
00:00:05:08
00:00:05:21
00:00:05:21
00:00:05:29		 FOR1 für
00:00:05:29
00:00:05:44
00:00:05:44
00:00:06:09		 WORLD1 welt
00:00:06:09
00:00:06:15
00:00:06:15
00:00:06:21		 PEOPLE2 leute
00:00:06:21
00:00:06:26
00:00:06:26
00:00:06:42		 PROTECTION1A schutz
00:00:06:42
00:00:07:09
00:00:07:09
00:00:07:18		 POVERTY2* arme
00:00:07:18
00:00:07:25
00:00:07:25
00:00:07:29		 $INDEX1
00:00:07:29
00:00:08:06
00:00:08:06
00:00:08:21		 LOVE1C* liebe
00:00:08:21
00:00:08:40
00:00:08:40
00:00:09:00		 CARE1 pflege
00:00:09:00
00:00:09:28
00:00:09:28
00:00:09:39		 TO-SUPPORT4A* unter{stützen}
00:00:09:39
00:00:10:01
00:00:10:01
00:00:10:02		 She was the best and nicest queen England ever had.
00:00:10:02
00:00:10:12		 $INDEX1
00:00:10:12
00:00:11:14
00:00:11:14
00:00:11:22		 BEST1* beste
00:00:11:22
00:00:11:34
00:00:11:34
00:00:11:44		 LOVELY1A lieb
00:00:11:44
00:00:11:49
00:00:11:49
00:00:12:15		 $ALPHA1:D-N-A diana
00:00:12:15
00:00:12:21
00:00:12:21
00:00:12:30		 PERSON1^
00:00:12:30
00:00:12:39
00:00:12:39
00:00:12:44		 FOR1^*
00:00:12:44
00:00:13:01
00:00:13:01
00:00:13:08		 ENGLAND4* england
00:00:13:08
00:00:13:31
00:00:13:31
00:00:13:37		 KING1A* könig
00:00:13:37
00:00:13:47
00:00:13:47
00:00:14:07		 PERSON1
00:00:14:07
00:00:14:14
00:00:14:14
00:00:14:16		 Therefore, I was shocked and sad about the accident.
00:00:14:16
00:00:14:22		 I2
00:00:14:22
00:00:14:26
00:00:14:26
00:00:14:31		 THEREFORE1 darum
00:00:14:31
00:00:14:39
00:00:14:39
00:00:14:42		 $INDEX1
00:00:14:42
00:00:15:01
00:00:15:01
00:00:15:06		 SHOCK2A* schock
00:00:15:06
00:00:15:21
00:00:15:21
00:00:15:30		 ACCIDENT8 unfall
00:00:15:30
00:00:15:36
00:00:15:36
00:00:15:41		 I1
00:00:15:41
00:00:16:05
00:00:16:05
00:00:16:15		 SAD6A traurig
00:00:16:15
00:00:16:30
00:00:16:30
00:00:16:48		 Because she wouldn't be here anymore.
00:00:16:48
00:00:17:03		 LIKE3A* wie
00:00:17:03
00:00:17:06
00:00:17:06
00:00:17:08		 $INDEX1
00:00:17:08
00:00:17:16
00:00:17:16
00:00:17:22		 NOT-ANYMORE1A mehr
00:00:17:22
00:00:17:28
00:00:17:28
00:00:17:34		 PERSON1
00:00:17:34
00:00:17:43
00:00:17:43
00:00:18:08		 PROCEEDING1B^*
00:00:18:08
00:00:18:09
00:00:18:09
00:00:18:17		 NOT1 nicht mehr
00:00:18:17
00:00:18:19
00:00:18:19
00:00:18:23		 If/
00:00:18:23
00:00:18:26		 $INDEX1
00:00:18:26
00:00:18:30
00:00:18:30
00:00:18:37		 IF-OR-WHEN1A wenn
00:00:18:37
00:00:19:02
00:00:19:02
00:00:19:10		 $GEST-TO-PONDER1^*
00:00:19:10
00:00:19:20
00:00:19:20
00:00:19:27		 She's done some real nice things in her life.
00:00:19:27
00:00:19:39		 BEFORE1G^ früher
00:00:19:39
00:00:19:49
00:00:19:49
00:00:20:11		 TO-LIVE1C erlebt
00:00:20:11
00:00:20:20
00:00:20:20
00:00:20:27		 SELF1A* selber
00:00:20:27
00:00:20:46
00:00:20:46
00:00:21:03		 BEAUTIFUL1A schön
00:00:21:03
00:00:21:15
00:00:21:15
00:00:21:21		 LIKE3B
00:00:21:21
00:00:21:32
00:00:21:32
00:00:21:36		 CARE1*
00:00:21:36
00:00:21:39		 She was a great role model for me.
00:00:21:39
00:00:22:00		 I1
00:00:22:00
00:00:22:07
00:00:22:07
00:00:22:11		 LIKE3B
00:00:22:11
00:00:22:27
00:00:22:27
00:00:22:32		 GOOD1* gut
00:00:22:32
00:00:22:40
00:00:22:40
00:00:22:47		 ROLE-MODEL1* vorbild
00:00:22:47
00:00:23:01
00:00:23:01
00:00:23:10		 TO-BELONG1^*
00:00:23:10
00:00:23:18
00:00:23:18
00:00:23:22		 ROLE-MODEL1* vorbild
00:00:23:22
00:00:23:36
00:00:23:36
00:00:23:44		 PERSON1
00:00:23:44
00:00:24:00
00:00:24:00
00:00:24:13		 LIKE3A wie
00:00:24:13
00:00:24:30
00:00:24:30
00:00:24:43		 $GEST-OFF1^
00:00:24:43
00:00:25:01
00:00:25:01
00:00:25:06		 ROLE-MODEL1* vorbild
00:00:25:06
00:00:25:08
00:00:25:08
00:00:25:12		 $GEST-OFF1^
00:00:25:12
00:00:25:30
00:00:25:30
00:00:26:31		 How interesting.
00:00:26:31
00:00:26:37		 TO-GIVE1A^
00:00:26:37
00:00:26:39		 WEIRD-STRANGE2 [MG]
00:00:26:39
00:00:26:47
00:00:26:47
00:00:27:23
00:00:27:23
00:00:28:07		 Shall I tell you something now?
00:00:28:07
00:00:28:17		 I1*
00:00:28:17
00:00:28:24
00:00:28:24
00:00:28:33		 TO-TELL3A*
00:00:28:33
00:00:28:41
00:00:28:41
00:00:29:00		 ALSO1A auch
00:00:29:00
00:00:29:01
00:00:29:01
00:00:29:43		 Is he right about Diana?
00:00:29:43
00:00:30:05		 No, I can't say something about this topic.
00:00:30:05
00:00:30:15		 I2
00:00:30:15
00:00:30:31
00:00:30:31
00:00:30:32		 $INDEX1
00:00:30:32
00:00:30:44
00:00:30:44
00:00:30:48		 I don't know anything about Diana.
00:00:30:48
00:00:31:05		 TO-KNOW-STH-OR-SB1A*
00:00:31:05
00:00:31:11
00:00:31:11
00:00:31:15		 $ALPHA1:D
00:00:31:15
00:00:31:25
00:00:31:25
00:00:31:33		 ZERO6A* null
00:00:31:33
00:00:31:41
00:00:31:41
00:00:32:25		 $ALPHA1:D-I-A-N-A diana
00:00:32:25
00:00:32:33
00:00:32:33
00:00:32:49		 $GEST-OFF1^
00:00:32:49
00:00:33:00
00:00:33:00
00:00:33:03		 But I know she was the queen of England.
00:00:33:03
00:00:33:27		 BUT1* aber
00:00:33:27
00:00:33:40
00:00:33:40
00:00:33:48		 DEAF1A* erfahren
00:00:33:48
00:00:34:14
00:00:34:14
00:00:34:16		 TO-LEARN-STH1A*
00:00:34:16
00:00:34:20
00:00:34:20
00:00:34:25		 PERSON1
00:00:34:25
00:00:34:34
00:00:34:34
00:00:34:40		 KING1A* königin
00:00:34:40
00:00:35:10
00:00:35:10
00:00:35:16		 ENGLAND3 england
00:00:35:16
00:00:35:25
00:00:35:25
00:00:35:37		 YES2 ja
00:00:35:37
00:00:35:45		 But it didn't interest me that much.
00:00:35:45
00:00:36:04		 BUT1* aber
00:00:36:04
00:00:36:11
00:00:36:11
00:00:36:32		 I2*
00:00:36:32
00:00:36:40
00:00:36:40
00:00:36:46		 FAN2
00:00:36:46
00:00:37:03
00:00:37:03
00:00:37:10		 STRONG1A [MG]
00:00:37:10
00:00:37:15
00:00:37:15
00:00:37:19		 I2*
00:00:37:19
00:00:37:24
00:00:37:24
00:00:37:25		 Yeah, my mom told me a lot about her.
00:00:37:25
00:00:37:28		 $GEST-OFF1^
00:00:37:28
00:00:37:29
00:00:37:29
00:00:37:43		 $GEST-NM-TO-SHRUG1^
00:00:37:43
00:00:38:06		 THROUGH2A durch
00:00:38:06
00:00:38:10
00:00:38:10
00:00:38:15		 $GEST-ATTENTION1^
00:00:38:15
00:00:38:18		 That's not something I think about.
00:00:38:18
00:00:38:19		 $INDEX1
00:00:38:19
00:00:38:20		 I2*
00:00:38:20
00:00:38:27
00:00:38:27
00:00:38:33
00:00:38:33
00:00:38:36		 THROUGH2A durch
00:00:38:36
00:00:38:42		 $GEST-OFF1^
00:00:38:42
00:00:38:47
00:00:38:47
00:00:39:01		 I1
00:00:39:01
00:00:39:10
00:00:39:10
00:00:39:14		 MOTHER1* mutter
00:00:39:14
00:00:39:21
00:00:39:21
00:00:39:30		 TO-TELL4 erzählen
00:00:39:30
00:00:39:41
00:00:39:41
00:00:40:04		 TO-LIST1A*
00:00:40:04
00:00:40:08
00:00:40:08
00:00:40:12		 $INDEX2
00:00:40:12
00:00:40:39		 She talked about her accident, as well. That’s why I knew so much about her.
00:00:40:39
00:00:40:47		 I1*
00:00:40:47
00:00:41:04
00:00:41:04
00:00:41:15		 TO-LOOK-AT3* [MG]
00:00:41:15
00:00:41:25
00:00:41:25
00:00:41:34		 THEREFORE1* darum
00:00:41:34
00:00:41:36
00:00:41:36
00:00:41:41		 $INDEX1
00:00:41:41
00:00:41:47
00:00:41:47
00:00:41:49		 IT-HAPPENS3 passiert
00:00:41:49
00:00:42:00
00:00:42:00
00:00:42:08		 ACCIDENT8
00:00:42:08
00:00:42:16
00:00:42:16
00:00:42:19		 I clearly remember the moment my mother told me about it, and how she explained it to me. I2
00:00:42:19
00:00:42:26
00:00:42:26
00:00:42:29		 TO-REMEMBER3B erinnerung
00:00:42:29
00:00:42:35
00:00:42:35
00:00:42:42		 TO-REMEMBER2
00:00:42:42
00:00:42:44
00:00:42:44
00:00:43:01		 $INDEX1
00:00:43:01
00:00:43:06
00:00:43:06
00:00:43:19		 BEFORE1G^
00:00:43:19
00:00:43:30
00:00:43:30
00:00:43:34		 MOTHER1* mutter
00:00:43:34
00:00:43:42
00:00:43:42
00:00:44:07		 TO-TELL3A* erzählen
00:00:44:07
00:00:44:12
00:00:44:12
00:00:44:25		 $INDEX1
00:00:44:25
00:00:44:30
00:00:44:30
00:00:44:42		 $ALPHA1:D-A dian{a}
00:00:44:42
00:00:45:02
00:00:45:02
00:00:45:08		 AND3* und
00:00:45:08
00:00:45:14
00:00:45:14
00:00:45:19		 GOOD1
00:00:45:19
00:00:45:26
00:00:45:26
00:00:45:34		 $INDEX1
00:00:45:34
00:00:45:37
00:00:45:37
00:00:45:48		 TO-EXPLAIN1* erklärt
00:00:45:48
00:00:46:01
00:00:46:01
00:00:46:12		 THEREFORE1 darum
00:00:46:12
00:00:46:16
00:00:46:16
00:00:46:23		 $GEST-OFF1^
00:00:46:23
00:00:46:34
00:00:46:34
00:00:46:37		 At that time I was too little to know her.
00:00:46:37
00:00:47:03		 REASON4B grund
00:00:47:03
00:00:47:09
00:00:47:09
00:00:47:13		 I1
00:00:47:13
00:00:47:26
00:00:47:26
00:00:47:28		 SMALL3* [MG]
00:00:47:28
00:00:47:36
00:00:47:36
00:00:48:02		 YOUNG1 jung
00:00:48:02
00:00:48:06
00:00:48:06
00:00:48:07		 I2
00:00:48:07
00:00:48:12
00:00:48:12
00:00:48:19		 SMALL3
00:00:48:19
00:00:48:21
00:00:48:21
00:00:48:25		 I2
00:00:48:25
00:00:48:32
00:00:48:32
00:00:48:39		 TO-LEARN-STH1A* [MG]
00:00:48:39
00:00:49:02
00:00:49:02
00:00:49:09		 BEFOREHAND4*
00:00:49:09
00:00:49:18
00:00:49:18
00:00:49:33		 NOT-YET2* noch nicht
00:00:49:33
00:00:49:35
00:00:49:35
00:00:49:44		 I was like #X years old when all that happened.
00:00:49:44
00:00:50:05		 LATER10
00:00:50:05
00:00:50:24
00:00:50:24
00:00:50:38		 IT-HAPPENS3* passiert
00:00:50:38
00:00:50:42
00:00:50:42
00:00:51:03		 $INDEX1
00:00:51:03
00:00:51:10
00:00:51:10
00:00:51:19		 $NUM #x
00:00:51:19
00:00:51:20
00:00:51:20
00:00:51:26		 MEANING1* bedeutet
00:00:51:26
00:00:51:28
00:00:51:28
00:00:51:42		 I1* ich
00:00:51:42
00:00:51:49
00:00:51:49
00:00:52:09		 But now as a grown up I sure know about all this.
00:00:52:09
00:00:52:13		 LACK1^*
00:00:52:13
00:00:52:24
00:00:52:24
00:00:52:31		 HE-SHE-IT2 er
00:00:52:31
00:00:52:35
00:00:52:35
00:00:52:41		 MORE8B
00:00:52:41
00:00:52:46
00:00:52:46
00:00:53:05		 ADULTS1A [MG]
00:00:53:05
00:00:53:15
00:00:53:15
00:00:53:23		 CLEAR1B* klar
00:00:53:23
00:00:53:47
00:00:53:47
00:00:55:09
00:00:55:09
00:00:57:06		 Is there anything else you would like to say about Diana?
00:00:57:06
00:01:03:22		 How did you feel when you heard about the accident?
00:01:03:22
00:01:03:29		 That is a good question.
00:01:03:29
00:01:03:35		 GOOD1 gute
00:01:03:35
00:01:03:38
00:01:03:38
00:01:03:42		 QUESTION1* frage
00:01:03:42
00:01:03:45
00:01:03:45
00:01:04:00		 When it had happened/
00:01:04:00
00:01:04:08		 $INDEX1
00:01:04:08
00:01:04:35
00:01:04:35
00:01:04:46		 $INDEX1
00:01:04:46
00:01:05:02
00:01:05:02
00:01:05:10		 IT-HAPPENS1 passiert
00:01:05:10
00:01:05:48
00:01:05:48
00:01:06:09		 The day after it had happened, people didn't know if it was suicide or an accident due to a malfunction of the car.
00:01:06:09
00:01:06:23		 $INDEX1
00:01:06:23
00:01:06:39
00:01:06:39
00:01:06:42		 $INDEX1
00:01:06:42
00:01:07:25
00:01:07:25
00:01:07:33		 IT-HAPPENS3 passiert
00:01:07:33
00:01:07:37
00:01:07:37
00:01:07:41		 $INDEX1
00:01:07:41
00:01:08:11
00:01:08:11
00:01:08:14		 $NUM-ONE-TO-TEN1A:1d* ein
00:01:08:14
00:01:08:21
00:01:08:21
00:01:08:23		 DAY1A* tag
00:01:08:23
00:01:08:31
00:01:08:31
00:01:08:37		 LATER10*
00:01:08:37
00:01:08:41
00:01:08:41
00:01:08:45		 I2
00:01:08:45
00:01:09:02
00:01:09:02
00:01:09:11		 TO-LEARN-STH1A erfahren
00:01:09:11
00:01:09:16
00:01:09:16
00:01:09:37		 $INDEX1
00:01:09:37
00:01:09:42
00:01:09:42
00:01:10:04		 LIKE-HOW1A* wie
00:01:10:04
00:01:10:13
00:01:10:13
00:01:10:26		 EXACTLY1* genau
00:01:10:26
00:01:10:42
00:01:10:42
00:01:10:48		 ACCIDENT8 unfall
00:01:10:48
00:01:11:06
00:01:11:06
00:01:11:11		 SELF1A*
00:01:11:11
00:01:11:23
00:01:11:23
00:01:11:33		 MURDER2* selbstmord
00:01:11:33
00:01:11:38
00:01:11:38
00:01:11:43		 OR4A oder
00:01:11:43
00:01:12:00
00:01:12:00
00:01:12:08		 $INDEX1
00:01:12:08
00:01:12:18
00:01:12:18
00:01:12:36		 $GEST-TO-PONDER1^*
00:01:12:36
00:01:13:01
00:01:13:01
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-STH2B* 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-OFF1^
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-OFF1^
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-OFF1^
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		 PROCEEDING1B^*
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-STH2B^
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		 PROCEEDING1A^
00:01:33:03
00:01:33:10
00:01:33:10
00:01:33:19		 $GEST-OFF1^
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-OFF1^
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		 PROCEEDING1B^* darum
00:01:35:27
00:01:35:31
00:01:35:31
00:01:35:33		 $GEST-OFF1^
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		 MY1 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-OFF1^
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		 TO-DRIVE-A-CAR2* [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		 LIKE-SAYING1 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 oder
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		 There could be many other possibilities.
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		 RIGHT-OR-CORRECT1A* 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		 First, I only learned that Diana had died. This made me feel sad, nothing more. But I didn't know exactly 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		 SAD6A traurig
00:02:00:48
00:02:01:04
00:02:01:04
00:02:01:07		 THATS-ALL1A*
00:02:01:07
00:02:01:12
00:02:01:12
00:02:01:22		 $INDEX1 aber
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-OFF1^*
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		 TO-DRIVE-A-CAR2 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		 LIKE-SAYING1 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-OFF1^
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		 MOST1B* 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-OFF1^
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-OFF1^
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		 THATS-ALL1A [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-OFF1^ [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?
00:02:32:06
00:02:32:18		 Well, I saw it on television the next day.
00:02:32:18
00:02:32:23		 $INDEX1
00:02:32:23
00:02:32:25
00:02:32:25
00:02:32:33		 THROUGH2A durch
00:02:32:33
00:02:32:42
00:02:32:42
00:02:32:45		 TO-FLICKER1^ fernsehen
00:02:32:45
00:02:33:05
00:02:33:05
00:02:33:11		 $NUM-ONE-TO-TEN1A:1d ein
00:02:33:11
00:02:33:17
00:02:33:17
00:02:33:21		 DAY1A tag
00:02:33:21
00:02:33:29
00:02:33:29
00:02:33:34		 LATER10*
00:02:33:34
00:02:33:38		 They covered the topic on all channels.
00:02:33:38
00:02:33:45		 TO-FLICKER1^ fern{sehen}
00:02:33:45
00:02:34:08
00:02:34:08
00:02:34:18		 TO-SPREAD2^ [MG]
00:02:34:18
00:02:35:00
00:02:35:00
00:02:35:32		 I saw it on TV a day after it happened.
00:02:35:32
00:02:35:37		 TO-FLICKER1^* fernseher
00:02:35:37
00:02:35:41
00:02:35:41
00:02:35:44		 $INDEX1
00:02:35:44
00:02:36:01
00:02:36:01
00:02:36:04		 $NUM-ONE-TO-TEN1A:1d ein
00:02:36:04
00:02:36:10
00:02:36:10
00:02:36:13		 DAY1A* tag
00:02:36:13
00:02:36:22
00:02:36:22
00:02:36:30		 IT-HAPPENS3 passiert
00:02:36:30
00:02:36:35
00:02:36:35
00:02:36:38		 $NUM-ONE-TO-TEN1A:1d ein
00:02:36:38
00:02:36:42
00:02:36:42
00:02:36:44		 DAY1A* tag
00:02:36:44
00:02:36:49
00:02:36:49
00:02:37:03		 DAY5*
00:02:37:03
00:02:37:09
00:02:37:09
00:02:37:12		 I1*
00:02:37:12
00:02:37:18
00:02:37:18
00:02:37:23		 TO-LOOK-AT3* [MG]
00:02:37:23
00:02:37:31
00:02:37:31
00:02:38:05		 My mom said, “Look!” $GEST-TO-PONDER1^
00:02:38:05
00:02:38:18
00:02:38:18
00:02:38:20		 MOTHER4* mutter
00:02:38:20
00:02:38:29
00:02:38:29
00:02:38:32		 TO-LOOK1* schau mal
00:02:38:32
00:02:38:36
00:02:38:36
00:02:39:06		 $INDEX1
00:02:39:06
00:02:39:31		 After that we watched TV together and she was very sad.
00:02:39:31
00:02:39:35		 SAD6A traurig
00:02:39:35
00:02:39:41
00:02:39:41
00:02:39:45		 $INDEX1
00:02:39:45
00:02:40:11
00:02:40:11
00:02:40:15		 GOOD1*
00:02:40:15
00:02:40:27
00:02:40:27
00:02:40:41		 My mom talked about death then and she became even sadder.
00:02:40:41
00:02:40:47		 MUM10* mama
00:02:40:47
00:02:41:06
00:02:41:06
00:02:41:13		 TO-LET-KNOW1A*
00:02:41:13
00:02:41:21
00:02:41:21
00:02:41:28		 $INDEX1
00:02:41:28
00:02:42:07
00:02:42:07
00:02:42:18		 DEATH2 tod
00:02:42:18
00:02:42:30
00:02:42:30
00:02:42:36		 SAD6A tra{urig}
00:02:42:36
00:02:42:39
00:02:42:39
00:02:42:44		 I2
00:02:42:44
00:02:43:03
00:02:43:03
00:02:43:05		 We followed up on the whole topic, even until the big funeral, which was also very sad.
00:02:43:05
00:02:43:09		 $INDEX1
00:02:43:09
00:02:43:19
00:02:43:19
00:02:43:26		 THEREFORE1
00:02:43:26
00:02:44:05
00:02:44:05
00:02:44:17		 SAD1* traurig
00:02:44:17
00:02:44:36
00:02:44:36
00:02:44:39		 VERY2^*
00:02:44:39
00:02:45:11
00:02:45:11
00:02:45:14		 SAD1* traurig
00:02:45:14
00:02:46:16
00:02:46:16
00:02:46:22		 UNTIL1* bis
00:02:46:22
00:02:46:38
00:02:46:38
00:02:46:48		 $GEST-TO-PONDER1^*
00:02:46:48
00:02:47:03
00:02:47:03
00:02:47:08		 CITY2* stadt
00:02:47:08
00:02:47:17
00:02:47:17
00:02:47:35		 $PROD* [MG]
00:02:47:35
00:02:47:40
00:02:47:40
00:02:47:44		 $INDEX1
00:02:47:44
00:02:48:16
00:02:48:16
00:02:48:25		 GRAVEYARD1 friedhof
00:02:48:25
00:02:48:40
00:02:48:40
00:02:48:44		 $PROD*
00:02:48:44
00:02:49:11
00:02:49:11
00:02:49:17		 $INDEX1
00:02:49:17
00:02:49:30
00:02:49:30
00:02:49:33		 TO-SEE1
00:02:49:33
00:02:49:39
00:02:49:39
00:02:49:45		 REASON4B
00:02:49:45
00:02:50:06
00:02:50:06
00:02:50:11		 SAD6A traurig
00:02:50:11
00:02:50:24
00:02:50:24
00:02:50:41		 $GEST-OFF1^
00:02:50:41
00:02:51:04
00:02:51:04
00:02:51:12		 That's why.
00:02:51:12
00:02:51:16		 THEREFORE1 darum
00:02:51:16
00:02:51:17
00:02:51:17
00:02:51:23		 $GEST-OFF1^*
00:02:51:23
00:02:51:40
00:02:51:40
00:02:53:47
00:02:53:47
00:02:54:04		 Every year one thinks of her.
00:02:54:04
00:02:54:10		 $INDEX1
00:02:54:10
00:02:54:17
00:02:54:17
00:02:54:24		 EVERY1B* jedes
00:02:54:24
00:02:54:35
00:02:54:35
00:02:54:48		 YEAR2B jahr
00:02:54:48
00:02:55:11
00:02:55:11
00:02:55:16		 TO-REMEMBER2* eri{nner}ung
00:02:55:16
00:02:55:23
00:02:55:23
00:02:55:33		 $ALPHA1:D-I-A dia{na}
00:02:55:33
00:02:55:38
00:02:55:38
00:02:55:41		 PERSON1^
00:02:55:41
00:02:55:49
00:02:55:49
00:02:56:06		 ALWAYS1C immer
00:02:56:06
00:02:56:09
00:02:56:09
00:02:56:17		 Because she was something special.
00:02:56:17
00:02:56:20		 TO-REMEMBER2
00:02:56:20
00:02:56:33
00:02:56:33
00:02:56:37		 SPIKY1A spitze
00:02:56:37
00:02:56:43
00:02:56:43
00:02:56:49		 PERSON1
00:02:56:49
00:02:57:08
00:02:57:08
00:02:57:13		 Usually one remembers such occasions only at five or ten year anniversaries.
00:02:57:13
00:02:57:25		 PROCEEDING1B^
00:02:57:25
00:02:57:31
00:02:57:31
00:02:57:33		 ONLY2A nur
00:02:57:33
00:02:57:38
00:02:57:38
00:02:57:41		 FIGURE2A^*
00:02:57:41
00:02:57:49
00:02:57:49
00:02:58:05		 YEAR1A* fünf jahr
00:02:58:05
00:02:58:09
00:02:58:09
00:02:58:27		 PARTICULARLY4 besonders
00:02:58:27
00:02:58:45
00:02:58:45
00:02:59:03		 YEAR1A* zehn jahr
00:02:59:03
00:02:59:10
00:02:59:10
00:02:59:17		 PARTICULARLY4 beson{ders}
00:02:59:17
00:02:59:21
00:02:59:21
00:02:59:26		 If you see Diana, you automatically remember everything from the past.
00:02:59:26
00:02:59:32		 $INDEX1 aber
00:02:59:32
00:02:59:43
00:02:59:43
00:03:00:06		 $ALPHA1:D-I-A dia{na}
00:03:00:06
00:03:00:16
00:03:00:16
00:03:00:22		 STILL2* noch
00:03:00:22
00:03:00:27
00:03:00:27
00:03:00:32		 TO-SEE1*
00:03:00:32
00:03:00:36
00:03:00:36
00:03:00:39		 $INDEX1
00:03:00:39
00:03:01:00
00:03:01:00
00:03:01:06		 TO-REMEMBER2 eri{nner}ung
00:03:01:06
00:03:01:12
00:03:01:12
00:03:01:27		 PAST-OR-BACK-THEN2
00:03:01:27
00:03:01:38
00:03:01:38
00:03:01:45		 $GEST-OFF1^
00:03:01:45
00:03:02:14
00:03:02:14
00:03:02:17		 Did you go to the funeral?
00:03:02:17
00:03:02:24		 TO-CELEBRATE1
00:03:02:24
00:03:02:34
00:03:02:34
00:03:02:45		 TO-GO-THERE1*
00:03:02:45
00:03:03:26
00:03:03:26
00:03:04:07		 No, it was too far away.
00:03:04:07
00:03:04:13		 FAR1 zu weit
00:03:04:13
00:03:04:18
00:03:04:18
00:03:04:27		 TOWARDS9*
00:03:04:27
00:03:04:41
00:03:04:41
00:03:07:00		 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.
00:03:07:16
00:03:07:25		 OPINION1B meine
00:03:07:25
00:03:07:28
00:03:07:28
00:03:07:38		 YOU1
00:03:07:38
00:03:08:25
00:03:08:25
00:03:08:30		 TO-CELEBRATE1*
00:03:08:30
00:03:08:43
00:03:08:43
00:03:09:04		 TO-REMEMBER2 erinnerung
00:03:09:04
00:03:09:10
00:03:09:10
00:03:09:24		 TO-CELEBRATE1
00:03:09:24
00:03:09:32
00:03:09:32
00:03:09:42		 TO-GO-THERE1*
00:03:09:42
00:03:09:47
00:03:09:47
00:03:10:05		 AT-HOME1A*
00:03:10:05
00:03:10:09
00:03:10:09
00:03:10:20		 BACK1A* zurück
00:03:10:20
00:03:10:25
00:03:10:25
00:03:10:45		 $GEST^
00:03:10:45
00:03:11:00
00:03:11:00
00:03:11:08		 $INDEX1
00:03:11:08
00:03:11:23
00:03:11:23
00:03:11:30		 INVOLVED1A* dabei
00:03:11:30
00:03:11:35
00:03:11:35
00:03:11:46		 YOU1 du
00:03:11:46
00:03:12:25
00:03:12:25
00:03:13:00		 If the date fits my calendar, maybe.
00:03:13:00
00:03:13:08		 TO-MATCH1 passt
00:03:13:08
00:03:13:15
00:03:13:15
00:03:13:29		 $GEST-TO-PONDER1^*
00:03:13:29
00:03:13:37
00:03:13:37
00:03:13:43		 APPOINTMENT1A termin
00:03:13:43
00:03:13:49
00:03:13:49
00:03:14:06		 TIME1*
00:03:14:06
00:03:14:16
00:03:14:16
00:03:14:20		 $GEST^ [MG]
00:03:14:20
00:03:14:23
00:03:14:23
00:03:14:30		 I2 [MG]
00:03:14:30
00:03:14:31
00:03:14:31
00:03:14:40		 Anyways, I have always missed it so far.
00:03:14:40
00:03:14:44		 FOR1^*
00:03:14:44
00:03:15:00
00:03:15:00
00:03:15:08		 PAST1^* verpasst
00:03:15:08
00:03:15:17
00:03:15:17
00:03:15:26		 MISSED1B futsch
00:03:15:26
00:03:15:33
00:03:15:33
00:03:15:38		 I2
00:03:15:38
00:03:15:42
00:03:15:42
00:03:16:08		 I don't know if I would go.
00:03:16:08
00:03:16:13		 IF1 ob
00:03:16:13
00:03:16:16
00:03:16:16
00:03:16:17		 I2
00:03:16:17
00:03:16:21
00:03:16:21
00:03:16:27		 $INDEX2
00:03:16:27
00:03:16:33
00:03:16:33
00:03:16:38		 I2
00:03:16:38
00:03:16:43
00:03:16:43
00:03:16:49		 $GEST-OFF1^
00:03:16:49
00:03:17:15
00:03:17:15
00:03:36:30
00:03:36:30
00:03:42:46		 Where there things that made her really special to you?
00:03:42:46
00:03:43:09		 She was special because she was there for the poor and the children around the world.
00:03:43:09
00:03:43:17		 HAT-OFF1*
00:03:43:17
00:03:43:22
00:03:43:22
00:03:43:34		 SPIKY1A spitze
00:03:43:34
00:03:44:01
00:03:44:01
00:03:44:12		 HAT-OFF1*
00:03:44:12
00:03:44:13
00:03:44:13
00:03:44:20		 PERSON1
00:03:44:20
00:03:44:25
00:03:44:25
00:03:44:31		 $INDEX1
00:03:44:31
00:03:45:05
00:03:45:05
00:03:45:14		 FOR1 für
00:03:45:14
00:03:45:17
00:03:45:17
00:03:45:44		 $GEST-TO-PONDER1^
00:03:45:44
00:03:46:03
00:03:46:03
00:03:46:14		 WORLD1 welt
00:03:46:14
00:03:46:16
00:03:46:16
00:03:46:17		 $INDEX1
00:03:46:17
00:03:46:29
00:03:46:29
00:03:46:36		 POVERTY2* arme
00:03:46:36
00:03:47:07
00:03:47:07
00:03:47:16		 EVERYONE1B jede
00:03:47:16
00:03:47:21
00:03:47:21
00:03:47:33		 She hugged them and cared for them.
00:03:47:33
00:03:47:45		 TO-HUG2* umarmen
00:03:47:45
00:03:48:13
00:03:48:13
00:03:48:19		 CARE1* pflegen
00:03:48:19
00:03:48:46
00:03:48:46
00:03:49:12		 TO-FEED1* füttern
00:03:49:12
00:03:49:43
00:03:49:43
00:03:49:49		 FOR1* für
00:03:49:49
00:03:50:11
00:03:50:11
00:03:50:20		 HUMAN2* menschen
00:03:50:20
00:03:50:24
00:03:50:24
00:03:50:30		 The poor were glad when she visited.
00:03:50:30
00:03:50:44		 LIKE3B* wie
00:03:50:44
00:03:51:02
00:03:51:02
00:03:51:18		 $GEST-TO-PONDER1^
00:03:51:18
00:03:51:28
00:03:51:28
00:03:51:35		 PEOPLE2 arme
00:03:51:35
00:03:51:40
00:03:51:40
00:03:51:46		 POVERTY2*
00:03:51:46
00:03:52:25
00:03:52:25
00:03:52:32		 TO-LAUGH1^ froh
00:03:52:32
00:03:52:37
00:03:52:37
00:03:52:44		 PERSON1
00:03:52:44
00:03:53:01
00:03:53:01
00:03:53:07		 TO-COME2
00:03:53:07
00:03:53:11
00:03:53:11
00:03:53:17		 She was the queen with a heart for/
00:03:53:17
00:03:53:24		 PERSON1
00:03:53:24
00:03:53:37
00:03:53:37
00:03:53:44		 KING1A* könig
00:03:53:44
00:03:54:32
00:03:54:32
00:03:54:47		 HEART2B* herz
00:03:54:47
00:03:55:05
00:03:55:05
00:03:55:13		 PERSON1 für
00:03:55:13
00:03:55:20
00:03:55:20
00:03:55:24		 FOR1
00:03:55:24
00:03:55:29
00:03:55:29
00:03:55:45		 She had a heart for children. $GEST-TO-PONDER1^
00:03:55:45
00:03:55:46
00:03:55:46
00:03:56:01		 HEART2B*
00:03:56:01
00:03:56:06
00:03:56:06
00:03:56:10		 FOR1* für
00:03:56:10
00:03:56:20
00:03:56:20
00:03:56:31		 HEART2B* herz
00:03:56:31
00:03:56:38
00:03:56:38
00:03:56:43		 FOR1 für
00:03:56:43
00:03:57:14
00:03:57:14
00:03:57:28		 CHILD2* kinder
00:03:57:28
00:03:57:29
00:03:57:29
00:03:57:48		 TO-SWARM1* [MG]
00:03:57:48
00:03:58:05
00:03:58:05
00:03:58:17		 I admire her for that.
00:03:58:17
00:03:58:23		 I1*
00:03:58:23
00:03:58:36
00:03:58:36
00:03:58:49		 HAT-OFF1* [MG]
00:03:58:49
00:03:59:04
00:03:59:04
00:03:59:11		 ON-PERSON1*
00:03:59:11
00:03:59:15
00:03:59:15
00:03:59:18		 I2
00:03:59:18
00:03:59:23
00:03:59:23
00:03:59:27		 THEREFORE1 darum
00:03:59:27
00:03:59:31
00:03:59:31
00:03:59:33		 $GEST-OFF1^*
00:03:59:33
00:04:00:00
00:04:00:00
00:04:00:07		 Oh well, so you think if Diana was still alive the world would be a lot better or what?
00:04:00:07
00:04:00:14		 $GEST^
00:04:00:14
00:04:00:39
00:04:00:39
00:04:01:13		 IMAGINATION1B* vorstellung
00:04:01:13
00:04:01:16
00:04:01:16
00:04:01:22		 $INDEX1
00:04:01:22
00:04:01:34
00:04:01:34
00:04:02:07		 $ALPHA1:D-I-A-N-A diana
00:04:02:07
00:04:02:13
00:04:02:13
00:04:02:21		 NOT3B*
00:04:02:21
00:04:02:26
00:04:02:26
00:04:02:34		 TO-DIE2*
00:04:02:34
00:04:02:45
00:04:02:45
00:04:03:07		 TO-LIVE4* leben
00:04:03:07
00:04:03:11
00:04:03:11
00:04:03:25		 FURTHER1A weiter
00:04:03:25
00:04:03:30
00:04:03:30
00:04:03:36		 IMAGINATION1B*
00:04:03:36
00:04:03:39
00:04:03:39
00:04:03:46		 YOU1*
00:04:03:46
00:04:04:04
00:04:04:04
00:04:04:11		 BETTER1* besser
00:04:04:11
00:04:04:17
00:04:04:17
00:04:04:26		 WORLD1 welt
00:04:04:26
00:04:04:47
00:04:04:47
00:04:05:08		 EITHER3 [MG]
00:04:05:08
00:04:05:12		 I don't know.
00:04:05:12
00:04:05:20		 $GEST-OFF1^ [MG]
00:04:05:20
00:04:05:48		 $GEST-OFF1^ [MG]
00:04:05:48
00:04:06:01
00:04:06:01
00:04:06:16
00:04:06:16
00:04:06:23		 I think so. I1*
00:04:06:23
00:04:06:32
00:04:06:32
00:04:06:40		 TO-THINK1B denk
00:04:06:40
00:04:06:45
00:04:06:45
00:04:07:02		 YES1A* ja auch
00:04:07:02
00:04:07:06
00:04:07:06
00:04:07:10		 $GEST-OFF1^
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-DEVELOP1D
00:04:12:44
00:04:12:49
00:04:12:49
00:04:13:02		 $GEST-OFF1^
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-OFF1^ [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-OFF1^ [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-AGO1B*
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-OFF1^
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-OFF1^
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-STH2B 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-OFF1^ [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-OFF1^
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-OFF1^*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-AGO1B* [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-OFF1^
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* prince
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
00:05:24:19
00:05:24:19
00:05:24:25		 NO2A
00:05:24:25
00:05:24:45		 $ALPHA1:P-I-R-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-OFF1^
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-OFF1^
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 william
00:05:35:03
00:05:35:17
00:05:35:17
00:05:35:29		 $INIT-STRAIGHT1^*
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-OFF1^
00:05:41:20
00:05:41:30
00:05:41:30
00:05:41:36		 MEANS2B [MG]
00:05:41:36
00:05:41:44
00:05:41:44
00:05:41:47		 LONDON1 london
00:05:41:47
00:05:42:03
00:05:42:03
00:05:42:07		 MIDDLE2B
00:05:42:07
00:05:42:08
00:05:42:08
00:05:42:13		 KING1A* königin
00:05:42:13
00:05:42:17		 $INDEX1
00:05:42:17
00:05:42:23
00:05:42:23
00:05:42:24		 $GEST-TO-PONDER1^
00:05:42:24
00:05:42:32		 $INDEX1
00:05:42:32
00:05:42:43
00:05:42:43
00:05:43:02		 It is a big family.
00:05:43:02
00:05:43:09		 BUT1 aber
00:05:43:09
00:05:43:30
00:05:43:30
00:05:43:35		 $INDEX1* [MG]
00:05:43:35
00:05:44:01
00:05:44:01
00:05:44:17		 BIG3A* groß
00:05:44:17
00:05:44:28
00:05:44:28
00:05:44:33		 FAMILY4 familie
00:05:44:33
00:05:44:38
00:05:44:38
00:05:44:47		 FAMILY3*
00:05:44:47
00:05:45:02
00:05:45:02
00:05:45:09		 I just know some of them.
00:05:45:09
00:05:45:25		 TO-LIST1C*
00:05:45:25
00:05:45:28
00:05:45:28
00:05:45:33		 ONLY2A*
00:05:45:33
00:05:45:36
00:05:45:36
00:05:45:44		 BIT2A bestimmte
00:05:45:44
00:05:46:06
00:05:46:06
00:05:46:14		 $INDEX1*
00:05:46:14
00:05:46:19
00:05:46:19
00:05:46:24		 YES1A ja
00:05:46:24
00:05:46:31		 I don't know all of them, just a few.
00:05:46:31
00:05:46:35		 BUT1 aber
00:05:46:35
00:05:46:47
00:05:46:47
00:05:47:07		 MUCH5 zu viel
00:05:47:07
00:05:47:12
00:05:47:12
00:05:47:25		 ALL1A alle
00:05:47:25
00:05:47:32
00:05:47:32
00:05:47:40		 NO1A
00:05:47:40
00:05:47:43
00:05:47:43
00:05:48:00		 ONLY2A nur
00:05:48:00
00:05:48:06
00:05:48:06
00:05:48:18		 ALL2A^*
00:05:48:18
00:05:48:19
00:05:48:19
00:05:48:21		 I know Diana and the grandma for example.
00:05:48:21
00:05:48:27		 $INDEX1 beispiel
00:05:48:27
00:05:48:35
00:05:48:35
00:05:48:41		 EXAMPLE1*
00:05:48:41
00:05:48:49
00:05:48:49
00:05:49:28		 $GEST-TO-PONDER1^
00:05:49:28
00:05:49:37
00:05:49:37
00:05:49:42		 $ALPHA1:D diana
00:05:49:42
00:05:50:20
00:05:50:20
00:05:50:35		 GRANDMA1C oma
00:05:50:35
00:05:50:45
00:05:50:45
00:05:51:04		 THEN1B
00:05:51:04
00:05:51:08
00:05:51:08
00:05:51:14		 $INDEX1
00:05:51:14
00:05:51:39
00:05:51:39
00:05:52:00		 GRANDMA1C oma
00:05:52:00
00:05:52:10
00:05:52:10
00:05:52:22		 THEN1B
00:05:52:22
00:05:52:27
00:05:52:27
00:05:52:33		 $INDEX1
00:05:52:33
00:05:52:35
00:05:52:35
00:05:53:23		 $GEST-TO-PONDER1^
00:05:53:23
00:05:53:42		 I don't know all the names.
00:05:53:42
00:05:53:47		 ALSO1A*
00:05:53:47
00:05:54:01
00:05:54:01
00:05:54:05		 I1
00:05:54:05
00:05:54:11
00:05:54:11
00:05:54:18		 ALL1B* alle
00:05:54:18
00:05:54:28
00:05:54:28
00:05:54:31		 NAME1A* name
00:05:54:31
00:05:54:37
00:05:54:37
00:05:54:44		 Only the ones from the famous people.
00:05:54:44
00:05:54:49		 ONLY2A
00:05:54:49
00:05:55:15
00:05:55:15
00:05:55:21		 WELL-KNOWN1A* bekannt
00:05:55:21
00:05:55:26
00:05:55:26
00:05:55:43		 PERSON1*
00:05:55:43
00:05:56:01
00:05:56:01
00:05:56:05		 I1
00:05:56:05
00:05:56:10
00:05:56:10
00:05:56:17		 FOR1* für
00:05:56:17
00:05:56:22
00:05:56:22
00:05:57:06		 Nothing else.
00:05:57:06
00:05:57:12		 DONE1B [MG]
00:05:57:12
00:05:57:14
00:05:57:14
00:05:57:23		 I know famous ones like Queen Elizabeth.
00:05:57:23
00:05:57:29		 NOT3A* mehr nicht I1
00:05:57:29
00:05:57:31
00:05:57:31
00:05:57:46
00:05:57:46
00:05:58:07		 MOST1B meiste
00:05:58:07
00:05:58:23
00:05:58:23
00:05:58:42		 PERSON1*
00:05:58:42
00:05:59:06
00:05:59:06
00:05:59:14		 ONLY2A
00:05:59:14
00:05:59:20
00:05:59:20
00:05:59:25		 I1
00:05:59:25
00:05:59:41
00:05:59:41
00:05:59:47		 $ALPHA1:Q queen
00:05:59:47
00:06:00:08
00:06:00:08
00:06:00:44		 $ALPHA1:Q-U-E-E-N
00:06:00:44
00:06:01:08
00:06:01:08
00:06:01:26		 $ALPHA1:E-L-I elisabeth
00:06:01:26
00:06:01:39
00:06:01:39
00:06:02:00		 NAME1A*
00:06:02:00
00:06:02:16
00:06:02:16
00:06:02:29		 TO-KNOW-STH-OR-SB1A [MG]
00:06:02:29
00:06:03:01
00:06:03:01
00:06:03:03		 And those brothers, the younger and older one.
00:06:03:03
00:06:03:09		 $GEST-TO-PONDER1^
00:06:03:09
00:06:03:18
00:06:03:18
00:06:03:25		 AND2A und
00:06:03:25
00:06:03:31
00:06:03:31
00:06:03:36		 $INDEX1
00:06:03:36
00:06:04:03
00:06:04:03
00:06:04:18		 BROTHER1A brüder
00:06:04:18
00:06:04:31
00:06:04:31
00:06:04:38		 YOUNG1* jung
00:06:04:38
00:06:04:46
00:06:04:46
00:06:05:00		 AND2A* und
00:06:05:00
00:06:05:08
00:06:05:08
00:06:05:14		 OLD4A* alt
00:06:05:14
00:06:05:17
00:06:05:17
00:06:05:27		 They were really present in the media.
00:06:05:27
00:06:05:37		 MORE1* mehr
00:06:05:37
00:06:05:49
00:06:05:49
00:06:06:07		 PRIMARILY1* [MG]
00:06:06:07
00:06:06:10
00:06:06:10
00:06:06:14		 $INDEX1
00:06:06:14
00:06:06:18
00:06:06:18
00:06:06:23		 MORE1 mehr
00:06:06:23
00:06:06:36
00:06:06:36
00:06:07:07		 TO-SHOW1A* zeigen zeigen
00:06:07:07
00:06:07:08
00:06:07:08
00:06:07:20		 But this Prince Charles William. I don't know him.
00:06:07:20
00:06:07:34		 BUT1* aber
00:06:07:34
00:06:08:13
00:06:08:13
00:06:08:23		 PERSON1
00:06:08:23
00:06:08:45
00:06:08:45
00:06:09:22		 $ALPHA1:C-A-L-S charles william
00:06:09:22
00:06:09:29
00:06:09:29
00:06:09:35		 $ALPHA1:W
00:06:09:35
00:06:09:42
00:06:09:42
00:06:09:46		 I2
00:06:09:46
00:06:10:10
00:06:10:10
00:06:10:11		 TO-SHOW1A* zeigt
00:06:10:11
00:06:10:19
00:06:10:19
00:06:10:27		 LITTLE-BIT9* wenig
00:06:10:27
00:06:10:39
00:06:10:39
00:06:11:02		 WHAT-DOES-IT-LOOK-LIKE1
00:06:11:02
00:06:11:06
00:06:11:06
00:06:11:17		 $GEST-OFF1^ [MG]
00:06:11:17
00:06:11:18
00:06:11:18
00:06:12:07		 He, so to say, lives secluded. $GEST-NO-IDEA1^ [MG]
00:06:12:07
00:06:12:34
00:06:12:34
00:06:12:43		 INHIBITION1
00:06:12:43
00:06:13:04
00:06:13:04
00:06:13:10		 LIKE-SAYING1 wie
00:06:13:10
00:06:13:16
00:06:13:16
00:06:13:31		 INHIBITION1 [MG]
00:06:13:31
00:06:13:34
00:06:13:34
00:06:13:46		 $GEST-OFF1^ [MG]
00:06:13:46
00:06:14:40
00:06:14:40
00:06:16:27
00:06:16:27
00:06:20:16		 We know the British Kingdom, do you also know some other kings?
00:06:20:16
00:06:20:35		 Well yeah, there are other countries with kings as well.
00:06:20:35
00:06:20:47		 NO1A
00:06:20:47
00:06:21:10
00:06:21:10
00:06:21:27
00:06:21:27
00:06:21:37		 DIFFERENT2 andere
00:06:21:37
00:06:21:43
00:06:21:43
00:06:21:49		 COUNTRY1A land
00:06:21:49
00:06:22:10
00:06:22:10
00:06:22:17		 TO-OWN-TO-EXIST1 [MG]
00:06:22:17
00:06:22:26
00:06:22:26
00:06:22:48		 $PROD* [MG]
00:06:22:48
00:06:23:04
00:06:23:04
00:06:23:09		 KING1A* könig
00:06:23:09
00:06:23:19
00:06:23:19
00:06:23:24		 But in Germany we don't have a king.
00:06:23:24
00:06:23:30		 HERE1 aber
00:06:23:30
00:06:23:41
00:06:23:41
00:06:23:46		 GERMAN1 deutsch
00:06:23:46
00:06:24:09
00:06:24:09
00:06:24:16		 EMPTY1^
00:06:24:16
00:06:24:18
00:06:24:18
00:06:24:28		 We had one in the past, but not anymore.
00:06:24:28
00:06:24:37		 PAST-OR-BACK-THEN1 früher
00:06:24:37
00:06:24:44
00:06:24:44
00:06:25:07		 YES1A ja
00:06:25:07
00:06:25:09
00:06:25:09
00:06:25:12		 BUT1* [MG]
00:06:25:12
00:06:25:16
00:06:25:16
00:06:25:22		 NOW3* [MG]
00:06:25:22
00:06:25:33
00:06:25:33
00:06:25:42		 VANISHED1A [MG]
00:06:25:42
00:06:25:45
00:06:25:45
00:06:26:10		 $GEST-OFF1^ [MG]
00:06:26:10
00:06:26:25		 Yeah, they are mainly in the north of Europe. There are a lot of kings.
00:06:26:25
00:06:26:32		 ONLY2A* nur
00:06:26:32
00:06:26:34
00:06:26:34
00:06:26:44
00:06:26:44
00:06:27:19		 $GEST-TO-PONDER1^
00:06:27:19
00:06:27:33
00:06:27:33
00:06:27:38		 EUROPE1A* europa
00:06:27:38
00:06:27:46
00:06:27:46
00:06:28:06		 NORTH1A nord
00:06:28:06
00:06:28:09
00:06:28:09
00:06:28:19		 AREA1F
00:06:28:19
00:06:28:26
00:06:28:26
00:06:28:30		 MOST1B* [MG]
00:06:28:30
00:06:28:36
00:06:28:36
00:06:28:46		 KING1A* könig
00:06:28:46
00:06:29:02
00:06:29:02
00:06:29:12		 For example in England, Sweden, Finland and Norway.
00:06:29:12
00:06:29:17		 EXAMPLE1* zum bei{spiel}
00:06:29:17
00:06:29:36
00:06:29:36
00:06:30:04		 $GEST-TO-PONDER1^
00:06:30:04
00:06:30:10
00:06:30:10
00:06:30:18		 ENGLAND4* england
00:06:30:18
00:06:30:23
00:06:30:23
00:06:30:27		 $LIST1:2of2d
00:06:30:27
00:06:30:41
00:06:30:41
00:06:31:08		 SWEDEN1A schweden
00:06:31:08
00:06:31:19
00:06:31:19
00:06:31:24		 $LIST1:2of2d
00:06:31:24
00:06:32:07
00:06:32:07
00:06:32:20		 FINLAND1 finnland
00:06:32:20
00:06:32:27
00:06:32:27
00:06:32:34		 $LIST1:3of3d*
00:06:32:34
00:06:32:41
00:06:32:41
00:06:33:02		 $ALPHA1:N norwegen
00:06:33:02
00:06:33:10
00:06:33:10
00:06:33:39		 $PROD*
00:06:33:39
00:06:33:48
00:06:33:48
00:06:34:01		 $ALPHA1:N norwegen
00:06:34:01
00:06:34:03
00:06:34:03
00:06:34:18		 $PROD* But there are also some kings in the south like Spain or Monaco. BUT1 aber
00:06:34:18
00:06:34:19
00:06:34:19
00:06:34:23		 More in the north.
00:06:34:23
00:06:34:30		 ALSO1A auch
00:06:34:30
00:06:34:37		 NORTH1A
00:06:34:37
00:06:35:12
00:06:35:12
00:06:35:19		 SOUTH1B süd
00:06:35:19
00:06:35:25
00:06:35:25
00:06:35:37		 TO-OWN1 [MG]
00:06:35:37
00:06:35:48
00:06:35:48
00:06:36:08		 CLEAR1B klar
00:06:36:08
00:06:36:43
00:06:36:43
00:06:37:08		 SPAIN2* spanien
00:06:37:08
00:06:37:26
00:06:37:26
00:06:37:41		 $LIST1:2of2d
00:06:37:41
00:06:37:47
00:06:37:47
00:06:38:24		 $ALPHA1:M-O-N-C-O monaco
00:06:38:24
00:06:38:31
00:06:38:31
00:06:38:33		 $GEST-OFF1^
00:06:38:33
00:06:39:03
00:06:39:03
00:06:39:10		 $LIST1:3of3d
00:06:39:10
00:06:39:18
00:06:39:18
00:06:39:23		 $GEST-OFF1^
00:06:39:23
00:06:39:33
00:06:39:33
00:06:40:34		 $GEST-OFF1^
00:06:40:34
00:06:40:38
00:06:40:38
00:06:40:41		 Are there more?
00:06:40:41
00:06:40:47		 MORE1* noch mehr
00:06:40:47
00:06:41:01
00:06:41:01
00:06:41:08		 $GEST-OFF1^
00:06:41:08
00:06:41:10
00:06:41:10
00:06:41:26		 Mainly in Europe.
00:06:41:26
00:06:41:33		 PRIMARILY1*
00:06:41:33
00:06:41:42
00:06:41:42
00:06:42:07		 EUROPE1A
00:06:42:07
00:06:42:14
00:06:42:14
00:06:42:21		 PRIMARILY1* [MG]
00:06:42:21
00:06:42:25
00:06:42:25
00:06:42:32		 $GEST-OFF1^
00:06:42:32
00:06:43:30

Show this Transcript in

MY DGS
MY DGS – ANNIS
MY DGS – iLex

Download Options

iLex ELAN Video A Video B Video Total SRT Video AB CMDI Pose
iLex document ELAN document MPEG4 video MPEG4 video MPEG4 video SRT document MPEG4 video MPEG4 cmdi Pose data

Report Mistake