dgskorpus_koe_09: Experience Report

Topics Society: Lady Diana; Traffic: Lady Diana

	Translation	Lexeme/Sign	Mouth	Translation	Lexeme/Sign	Mouth	Moderator
00:00:00:00 00:00:00:08
00:00:00:08 00:00:00:22				Diana's death.
00:00:00:22 00:00:01:00					$ALPHA1:D-I-A-N-S*	diana
00:00:01:00 00:00:01:17
00:00:01:17 00:00:01:31					DEATH2*	[MG]
00:00:01:31 00:00:01:43
00:00:01:43 00:00:02:12				When I was little, I often looked at her pictures.
00:00:02:12 00:00:02:29					PAST-OR-BACK-THEN1*	früher
00:00:02:29 00:00:02:33
00:00:02:33 00:00:02:43					SMALL5*	[MG]
00:00:02:43 00:00:02:47
00:00:02:47 00:00:03:06					TO-SEE1*
00:00:03:06 00:00:03:13
00:00:03:13 00:00:03:25					$ALPHA1:D	diana
00:00:03:25 00:00:03:29
00:00:03:29 00:00:03:35				She was so pretty back then.
00:00:03:35 00:00:03:39					PAST-OR-BACK-THEN1*	früher
00:00:03:39 00:00:04:11
00:00:04:11 00:00:04:23					PRETTY1A
00:00:04:23 00:00:04:27
00:00:04:27 00:00:04:43				She looked so pretty in those pictures and she had such a nice smile.
00:00:04:43 00:00:05:01	That's true!				PICTURE1	bild
00:00:05:01 00:00:05:05
00:00:05:05 00:00:05:11		RIGHT-OR-AGREED1A*
00:00:05:11 00:00:05:14					PRETTY1A*	hübsch
00:00:05:14 00:00:05:18
00:00:05:18 00:00:05:21
00:00:05:21 00:00:05:30					FACE1*
00:00:05:30 00:00:05:34
00:00:05:34 00:00:05:43					TO-LAUGH1*	lachen
00:00:05:43 00:00:06:06
00:00:06:06 00:00:06:11					$PROD*	[MG]
00:00:06:11 00:00:06:13
00:00:06:13 00:00:06:16				I liked her smile a lot.
00:00:06:16 00:00:06:19					I1*
00:00:06:19 00:00:06:26
00:00:06:26 00:00:06:32					TO-LOVE-STH1
00:00:06:32 00:00:06:39
00:00:06:39 00:00:06:43					TO-LAUGH1*	lachen
00:00:06:43 00:00:07:01
00:00:07:01 00:00:07:07					$PROD*	[MG]
00:00:07:07 00:00:07:12
00:00:07:12 00:00:07:19				She was pretty.
00:00:07:19 00:00:07:30					VERY7*	[MG]
00:00:07:30 00:00:07:38
00:00:07:38 00:00:07:45					PRETTY1A	hübsch
00:00:07:45 00:00:08:05
00:00:08:05 00:00:08:13					TO-BE-EYE-CATCHING1	[MG]
00:00:08:13 00:00:08:29				Then she got divorced and the crisis began and she had to care for the children. Oh wait, that's nonsense. She donated a lot of money to children.
00:00:08:29 00:00:08:34					TO-LEARN-STH1A*
00:00:08:34 00:00:08:48
00:00:08:48 00:00:09:08					TO-SEPARATE4A^	[MG]
00:00:09:08 00:00:09:13
00:00:09:13 00:00:09:23	She had a heart of gold.	HEART2*
00:00:09:23 00:00:10:02					CRISIS1
00:00:10:02 00:00:10:09
00:00:10:09 00:00:10:15
00:00:10:15 00:00:10:22					CHILD2*	kinder
00:00:10:22 00:00:10:32
00:00:10:32 00:00:10:39					CARE1^*	kümmern
00:00:10:39 00:00:11:31
00:00:11:31 00:00:11:36					END1^*
00:00:11:36 00:00:11:39
00:00:11:39 00:00:11:44					TO-KNOW-STH-OR-SB1A
00:00:11:44 00:00:11:48
00:00:11:48 00:00:12:09					CHILD2*	kinder
00:00:12:09 00:00:12:24
00:00:12:24 00:00:12:36					TO-DONATE2A*	spenden
00:00:12:36 00:00:12:49
00:00:12:49 00:00:13:03					EVERYTHING2*
00:00:13:03 00:00:13:08
00:00:13:08 00:00:13:13					TO-SEE1*
00:00:13:13 00:00:13:19
00:00:13:19 00:00:13:28					VERY7*	[MG]
00:00:13:28 00:00:13:34				She had a heart of gold and was very beautiful.
00:00:13:34 00:00:13:38					HEART1C^*
00:00:13:38 00:00:14:09
00:00:14:09 00:00:14:17					BEAUTIFUL1A*	schön
00:00:14:17 00:00:14:25
00:00:14:25 00:00:14:34					FACE1^*
00:00:14:34 00:00:14:44				She was prettier than other women.
00:00:14:44 00:00:15:03					PRETTY1A	hübsch
00:00:15:03 00:00:15:09
00:00:15:09 00:00:15:14					PERSON1
00:00:15:14 00:00:15:19
00:00:15:19 00:00:15:24					ALONE1C^	a{ls}
00:00:15:24 00:00:15:34
00:00:15:34 00:00:16:06					AREA1D*
00:00:16:06 00:00:16:12
00:00:16:12 00:00:16:22				That princess always looked pretty.
00:00:16:22 00:00:16:37					VAIN1^	prinzessin
00:00:16:37 00:00:16:44
00:00:16:44 00:00:16:48					I2*
00:00:16:48 00:00:17:02
00:00:17:02 00:00:17:06					MOST1A	meist
00:00:17:06 00:00:17:08
00:00:17:08 00:00:17:13					TO-SEE1*
00:00:17:13 00:00:17:23
00:00:17:23 00:00:17:29					PRETTY1A	hübsch
00:00:17:29 00:00:17:35
00:00:17:35 00:00:17:39					$INDEX1
00:00:17:39 00:00:18:00
00:00:18:00 00:00:18:16					$GEST^
00:00:18:16 00:00:18:24				I often looked at her pictures when I was little.
00:00:18:24 00:00:18:26					I1*
00:00:18:26 00:00:18:34
00:00:18:34 00:00:19:00					TO-LOOK-AT1*
00:00:19:00 00:00:19:06
00:00:19:06 00:00:19:11					SMALL5*	klein
00:00:19:11 00:00:19:16
00:00:19:16 00:00:19:22					PAST1^
00:00:19:22 00:00:19:29
00:00:19:29 00:00:20:01					TO-LOOK-AT1*
00:00:20:01 00:00:20:06
00:00:20:06 00:00:20:16				We then went on a vacation in Latvia.
00:00:20:16 00:00:20:20					I2
00:00:20:20 00:00:20:36
00:00:20:36 00:00:20:44					AIRPLANE2C^*
00:00:20:44 00:00:20:46
00:00:20:46 00:00:21:02					$ALPHA1:L	lettland
00:00:21:02 00:00:21:11
00:00:21:11 00:00:21:18					LATVIA1
00:00:21:18 00:00:21:30
00:00:21:30 00:00:21:35					TO-GO-THERE1*
00:00:21:35 00:00:21:44
00:00:21:44 00:00:22:10					VACATION8A*	urlaub
00:00:22:10 00:00:22:16
00:00:22:16 00:00:22:36				There, my mother told me that Diana got into an accident and that she died.
00:00:22:36 00:00:22:40					MUM1A*	mama
00:00:22:40 00:00:22:48
00:00:22:48 00:00:23:17					TO-LET-KNOW1A*
00:00:23:17 00:00:23:32
00:00:23:32 00:00:23:48					$GEST-ATTENTION1^
00:00:23:48 00:00:24:02
00:00:24:02 00:00:24:11					$INDEX1*
00:00:24:11 00:00:24:14
00:00:24:14 00:00:24:18					$ALPHA1:D	diana
00:00:24:18 00:00:24:26
00:00:24:26 00:00:24:34					IT-HAPPENS3*	passiert
00:00:24:34 00:00:24:46
00:00:24:46 00:00:25:05					ACCIDENT9*	[MG]
00:00:25:05 00:00:26:03
00:00:26:03 00:00:26:11					IT-HAPPENS3*	passiert
00:00:26:11 00:00:26:27
00:00:26:27 00:00:26:37					DEATH2*	tot
00:00:26:37 00:00:26:45
00:00:26:45 00:00:27:03					NO3B^*
00:00:27:03 00:00:27:09				I asked multiple times if it was actually true.
00:00:27:09 00:00:27:14					I1*
00:00:27:14 00:00:27:25
00:00:27:25 00:00:28:22					REALLY2*
00:00:28:22 00:00:28:31
00:00:28:31 00:00:28:38				I couldn't believe it.
00:00:28:38 00:00:28:45					I1
00:00:28:45 00:00:29:02
00:00:29:02 00:00:29:07					TO-BELIEVE2A*	glaube
00:00:29:07 00:00:29:11
00:00:29:11 00:00:29:18					NOT3A*	nicht
00:00:29:18 00:00:29:22				They showed the story of her life on TV, her babies, the paparazzi.
00:00:29:22 00:00:29:28					HOW-QUESTION1
00:00:29:28 00:00:29:32
00:00:29:32 00:00:29:39					TO-MARVEL1*	erst{aunt}
00:00:29:39 00:00:30:08
00:00:30:08 00:00:30:15					TO-THROW1^*
00:00:30:15 00:00:30:44
00:00:30:44 00:00:31:01					TO-LIVE1C*	lebensgeschichte
00:00:31:01 00:00:31:18
00:00:31:18 00:00:31:39					HISTORY-OR-STORY2
00:00:31:39 00:00:32:04
00:00:32:04 00:00:32:11					$PROD*	[MG]
00:00:32:11 00:00:32:26
00:00:32:26 00:00:32:37					TO-ROCK-A-BABY3	baby
00:00:32:37 00:00:33:01
00:00:33:01 00:00:33:05					PHOTO1*
00:00:33:05 00:00:33:06
00:00:33:06 00:00:33:12					PHOTO4*
00:00:33:12 00:00:33:23
00:00:33:23 00:00:33:48					TO-PRODUCE2^*	[MG]
00:00:33:48 00:00:34:17				Her story had to be over then, for sure.
00:00:34:17 00:00:34:22					MUST1	muss
00:00:34:22 00:00:34:46
00:00:34:46 00:00:35:05					HISTORY-OR-STORY2*	geschichte
00:00:35:05 00:00:35:16
00:00:35:16 00:00:35:27					OVER4	vorbei
00:00:35:27 00:00:35:37
00:00:35:37 00:00:36:15					TO-PRODUCE2^*	[MG]
00:00:36:15 00:00:36:20				I still asked myself if it could actually be true.
00:00:36:20 00:00:36:26					||RIGHT-OR-AGREED1A	stimmt
00:00:36:26 00:00:36:32
00:00:36:32 00:00:37:02					TO-LOOK-AT1^*	ob ob
00:00:37:02 00:00:37:07
00:00:37:07 00:00:37:22					||SOMEWHERE1^*	weiter
00:00:37:22 00:00:37:32
00:00:37:32 00:00:37:36				We checked the teletext and it was true: She was dead.
00:00:37:36 00:00:38:06					EMPTY1^	videotext
00:00:38:06 00:00:38:17
00:00:38:17 00:00:38:31					QUESTIONMARK2
00:00:38:31 00:00:38:49
00:00:38:49 00:00:39:10					RIGHT-OR-AGREED1A*	stimmt
00:00:39:10 00:00:39:20
00:00:39:20 00:00:39:32					DEATH2
00:00:39:32 00:00:39:40
00:00:39:40 00:00:39:45				It felt so strange: She was dead. Unbelievable! And I asked myself, “Why did she die?”
00:00:39:45 00:00:40:00					FEELING3*	fühlen
00:00:40:00 00:00:40:04
00:00:40:04 00:00:40:10					DEATH2*	tot
00:00:40:10 00:00:40:20
00:00:40:20 00:00:40:26					RIGHT-OR-AGREED1A*
00:00:40:26 00:00:40:30
00:00:40:30 00:00:40:38					DEATH2*	tot
00:00:40:38 00:00:40:43
00:00:40:43 00:00:41:09					INCREDIBLE2*	unglaublich
00:00:41:09 00:00:41:14
00:00:41:14 00:00:41:27					WHY1	warum
00:00:41:27 00:00:41:37
00:00:41:37 00:00:41:44					RIGHT-OR-AGREED1A*
00:00:41:44 00:00:42:06
00:00:42:06 00:00:43:17					||$GEST^
00:00:43:17 00:00:43:23				I couldn't believe it and waited for something else to happen.
00:00:43:23 00:00:43:38					NOT4	nicht
00:00:43:38 00:00:43:45
00:00:43:45 00:00:44:03					TO-BELIEVE2B	glaube
00:00:44:03 00:00:44:13
00:00:44:13 00:00:44:19					NOT3A
00:00:44:19 00:00:44:21
00:00:44:21 00:00:44:26	Yes.				TO-WAIT1A*	warten
00:00:44:26 00:00:44:33		YES2
00:00:44:33 00:00:44:39
00:00:44:39 00:00:44:46					PERIOD1A^*
00:00:44:46 00:00:44:49
00:00:44:49 00:00:45:03					RIGHT-OR-AGREED1A*	stimmt
00:00:45:03 00:00:45:11
00:00:45:11 00:00:45:18					EVENING2*	abend
00:00:45:18 00:00:45:43
00:00:45:43 00:00:46:00					REALLY2*
00:00:46:00 00:00:46:18
00:00:46:18 00:00:46:29					$GEST^
00:00:46:29 00:00:47:11
00:00:47:11 00:00:47:20	Yes.
00:00:47:20 00:00:47:31		YES1A*
00:00:47:31 00:00:47:33
00:00:47:33 00:00:47:41	In the past, I was a fan of Diana, as well.
00:00:47:41 00:00:48:18		PAST-OR-BACK-THEN1*	früher
00:00:48:18 00:00:48:35
00:00:48:35 00:00:48:41		ALSO1A	auch
00:00:48:41 00:00:48:45
00:00:48:45 00:00:49:01		I1	ich
00:00:49:01 00:00:49:08
00:00:49:08 00:00:49:24		$ALPHA1:D-A-N	diana-fan
00:00:49:24 00:00:49:41
00:00:49:41 00:00:50:03		FAN2*
00:00:50:03 00:00:50:10
00:00:50:10 00:00:50:15		ALSO1A	auch
00:00:50:15 00:00:50:18
00:00:50:18 00:00:50:21	She had a heart of gold, as well.
00:00:50:21 00:00:50:26		REASON4A*
00:00:50:26 00:00:50:34
00:00:50:34 00:00:50:38		VERY6*
00:00:50:38 00:00:50:48
00:00:50:48 00:00:51:05		BIG3B*
00:00:51:05 00:00:51:22
00:00:51:22 00:00:51:39		HEART2*	herz
00:00:51:39 00:00:51:46
00:00:51:46 00:00:52:20	She donated money to other countries.	GOOD1	gut
00:00:52:20 00:00:52:26
00:00:52:26 00:00:52:49		ALL3*	länder
00:00:52:49 00:00:53:22
00:00:53:22 00:00:53:33		TO-DONATE2A*	spenden
00:00:53:33 00:00:54:00
00:00:54:00 00:00:54:10	She always had such a radiant smile, even though, she had gone through the crisis with her husband before that.
00:00:54:10 00:00:54:17		VERY7*	[MG]
00:00:54:17 00:00:54:20
00:00:54:20 00:00:54:35		FACE1^*	zeigen
00:00:54:35 00:00:54:41		TO-SHOW1A*
00:00:54:41 00:00:55:06
00:00:55:06 00:00:55:16		TO-SMILE4^	aust{rahlung}
00:00:55:16 00:00:55:19
00:00:55:19 00:00:55:24		ALTHOUGH2*	obwohl
00:00:55:24 00:00:55:31		$INDEX1
00:00:55:31 00:00:55:44
00:00:55:44 00:00:56:07		BACKGROUND2*	hintergrund
00:00:56:07 00:00:56:24
00:00:56:24 00:00:56:41		CRISIS1*	krise
00:00:56:41 00:00:56:44
00:00:56:44 00:00:56:48		WITH1A*	mit
00:00:56:48 00:00:57:02
00:00:57:02 00:00:57:11		EX-PARTNER1	exmann
00:00:57:11 00:00:57:20
00:00:57:20 00:00:57:26		HUSBAND1
00:00:57:26 00:00:57:35
00:00:57:35 00:00:57:49	I didn't care about her cheating on her husband, or about having an affair, and her marriage being in crisis.
00:00:57:49 00:00:58:14		TO-HAVE-AN-AFFAIR1	ob fremd{gehen}
00:00:58:14 00:00:58:24
00:00:58:24 00:00:58:33		MONKEY1^	aff{äre}
00:00:58:33 00:00:58:46
00:00:58:46 00:00:59:08		CRISIS1*	[MG]
00:00:59:08 00:00:59:16
00:00:59:16 00:00:59:21		NO-INTEREST1*	[MG]
00:00:59:21 00:00:59:26	Still, she always kept a bright smile on her face.
00:00:59:26 00:00:59:30		NEVERTHELESS1	trotzdem
00:00:59:30 00:00:59:36
00:00:59:36 00:00:59:41		FACE1
00:00:59:41 00:01:00:01
00:01:00:01 00:01:00:10		TO-SHOW1A*	zeigen
00:01:00:10 00:01:00:24
00:01:00:24 00:01:00:33		TO-SMILE4^	[MG]
00:01:00:33 00:01:00:34
00:01:00:34 00:01:00:41	That's incredible.
00:01:00:41 00:01:01:13		VERY7*	[MG]
00:01:01:13 00:01:01:24	The children were so cute growing up.
00:01:01:24 00:01:01:37		CHILD2*	kinder
00:01:01:37 00:01:02:01
00:01:02:01 00:01:02:12		SWEET1||$INDEX1	süß
00:01:02:12 00:01:02:24
00:01:02:24 00:01:02:38		TO-GROW2C*
00:01:02:38 00:01:02:41
00:01:02:41 00:01:03:21		$GEST^
00:01:03:21 00:01:03:28	She seemed to be so warmhearted all the time. That was great.
00:01:03:28 00:01:03:38		EXPRESSION1A	ausdruck
00:01:03:38 00:01:04:02
00:01:04:02 00:01:04:08		SOLID1*	fest
00:01:04:08 00:01:04:21
00:01:04:21 00:01:04:34		WARM1B^
00:01:04:34 00:01:04:40
00:01:04:40 00:01:04:45		GOOD1*
00:01:04:45 00:01:05:05
00:01:05:05 00:01:05:11		SUDDENLY4	[MG]
00:01:05:11 00:01:05:14
00:01:05:14 00:01:05:33	Then the accident happened.
00:01:05:33 00:01:05:44		ACCIDENT2A
00:01:05:44 00:01:06:08
00:01:06:08 00:01:06:16	I was on vacation when I heard about it.
00:01:06:16 00:01:06:20		TO-LEARN-STH1A*	erfahren
00:01:06:20 00:01:06:29
00:01:06:29 00:01:06:35		TO-LAND1C
00:01:06:35 00:01:06:45
00:01:06:45 00:01:07:01		WAS1*	war
00:01:07:01 00:01:07:08
00:01:07:08 00:01:07:18		VACATION4	urlaub
00:01:07:18 00:01:07:23
00:01:07:23 00:01:07:26		I1
00:01:07:26 00:01:07:39
00:01:07:39 00:01:07:45				It was August 31st.
00:01:07:45 00:01:07:47		TO-LAND1C*
00:01:07:47 00:01:08:02					$NUM-ONE-TO-TEN1A:1d*	einunddreißig
00:01:08:02 00:01:08:06
00:01:08:06 00:01:08:07					$NUM-TENS2A:3d*
00:01:08:07 00:01:08:16
00:01:08:16 00:01:08:17	Yes, I was on vacation.
00:01:08:17 00:01:08:20
00:01:08:20 00:01:08:28					$NUM-ONE-TO-TEN1A:1d*	einunddrei{ßig}
00:01:08:28 00:01:08:32
00:01:08:32 00:01:08:33					$NUM-TENS2A:3d*
00:01:08:33 00:01:08:40		TO-SWARM1^
00:01:08:40 00:01:08:48					$ORAL^	auch
00:01:08:48 00:01:09:01
00:01:09:01 00:01:09:05
00:01:09:05 00:01:09:18
00:01:09:18 00:01:09:23		I1
00:01:09:23 00:01:09:26
00:01:09:26 00:01:09:32		VACATION4*	urlaub
00:01:09:32 00:01:09:42
00:01:09:42 00:01:10:06		$INDEX1*
00:01:10:06 00:01:10:11
00:01:10:11 00:01:10:16	Suddenly, my father accidentally saw something on TV/
00:01:10:16 00:01:10:39		TO-SWARM1^
00:01:10:39 00:01:11:11
00:01:11:11 00:01:11:23		SUDDENLY4*	[MG]
00:01:11:23 00:01:11:39
00:01:11:39 00:01:11:47		FATHER1	vater
00:01:11:47 00:01:12:06
00:01:12:06 00:01:12:14		COINCIDENCE1*	zufall
00:01:12:14 00:01:12:26
00:01:12:26 00:01:12:35		TO-PRESS-WITH-THUMB1^*	gefunden
00:01:12:35 00:01:13:02
00:01:13:02 00:01:13:09	No, it was my mother who used to watch TV in the morning.
00:01:13:09 00:01:13:19		MUM3	mama
00:01:13:19 00:01:13:21
00:01:13:21 00:01:13:27		TYPICAL1*	typisch
00:01:13:27 00:01:13:36
00:01:13:36 00:01:14:01		EARLY2*	früh
00:01:14:01 00:01:14:06
00:01:14:06 00:01:14:13		TYPICAL1*	typisch
00:01:14:13 00:01:14:20
00:01:14:20 00:01:14:36		TO-PRESS-WITH-THUMB1^*
00:01:14:36 00:01:14:48
00:01:14:48 00:01:15:02	She told me that Princess Diana had died in a car crash.	BUT1*
00:01:15:02 00:01:15:11
00:01:15:11 00:01:15:17		$GEST-ATTENTION1^*
00:01:15:17 00:01:15:27
00:01:15:27 00:01:15:41		WHAT1B*	was
00:01:15:41 00:01:16:08
00:01:16:08 00:01:16:19		CROWN1A^*	diana
00:01:16:19 00:01:16:38
00:01:16:38 00:01:17:04		DEATH2	[MG]
00:01:17:04 00:01:17:32
00:01:17:32 00:01:17:42		ACCIDENT9
00:01:17:42 00:01:18:11
00:01:18:11 00:01:18:25	It was a pity.
00:01:18:25 00:01:18:35		RIGHT-OR-AGREED1A
00:01:18:35 00:01:18:47
00:01:18:47 00:01:19:07		SERIOUS1A*
00:01:19:07 00:01:19:21	They showed lots of pictures.
00:01:19:21 00:01:19:31		PICTURE4*	bild
00:01:19:31 00:01:19:37		$PROD*
00:01:19:37 00:01:19:48	It was serious.
00:01:19:48 00:01:20:23		VERY7
00:01:20:23 00:01:20:24
00:01:20:24 00:01:20:27	Why did such a nice person have to die so soon?
00:01:20:27 00:01:20:48		WHY1*	warum
00:01:20:48 00:01:21:07
00:01:21:07 00:01:21:14		OF-ALL-THINGS2	ausgerechnet
00:01:21:14 00:01:21:18
00:01:21:18 00:01:21:25		THIS2	diese
00:01:21:25 00:01:21:32
00:01:21:32 00:01:21:36		HUMAN2*
00:01:21:36 00:01:21:42
00:01:21:42 00:01:21:48		LOVELY1B	liebe
00:01:21:48 00:01:22:06
00:01:22:06 00:01:22:13		HUMAN2	mensch
00:01:22:13 00:01:22:21
00:01:22:21 00:01:22:28		MUST1	muss
00:01:22:28 00:01:22:38
00:01:22:38 00:01:23:00		EARLY3A*	früh
00:01:23:00 00:01:23:07
00:01:23:07 00:01:23:22		TO-DIE2	sterben
00:01:23:22 00:01:23:26
00:01:23:26 00:01:23:42		$GEST-OFF^*
00:01:23:42 00:01:24:35	Unbelievable.	$GEST^
00:01:24:35 00:01:24:42	I felt so sorry.
00:01:24:42 00:01:25:07		TO-SUFFER2^	[MG]
00:01:25:07 00:01:25:18
00:01:25:18 00:01:25:23	Back then, her children were still little, and suddenly their mother was gone.
00:01:25:23 00:01:25:29		TO-SEE1*	wie sieht aus
00:01:25:29 00:01:25:36
00:01:25:36 00:01:25:43		WAS1*	war
00:01:25:43 00:01:26:01
00:01:26:01 00:01:26:08		CHILD1*	kind
00:01:26:08 00:01:26:17
00:01:26:17 00:01:26:27		SMALL5*	[MG]
00:01:26:27 00:01:26:47
00:01:26:47 00:01:27:11		AS-OR-THAN4	als
00:01:27:11 00:01:27:25
00:01:27:25 00:01:27:31		MOTHER2*	mutter
00:01:27:31 00:01:28:00
00:01:28:00 00:01:28:09		NOT1	nicht mehr
00:01:28:09 00:01:28:17
00:01:28:17 00:01:28:26		PRESENT-OR-HERE1*	da
00:01:28:26 00:01:28:32
00:01:28:32 00:01:28:47		$GEST^
00:01:28:47 00:01:29:09	I thought it was cruel.
00:01:29:09 00:01:29:22		ATROCIOUS5*	grausam
00:01:29:22 00:01:29:28
00:01:29:28 00:01:29:32		FOR1*	für
00:01:29:32 00:01:29:38
00:01:29:38 00:01:29:42		I1
00:01:29:42 00:01:29:44
00:01:29:44 00:01:29:47	My mother was there. That's why I was able to empathize with them.
00:01:29:47 00:01:30:04		MY1	meine
00:01:30:04 00:01:30:12
00:01:30:12 00:01:30:15		MUM11*	mama
00:01:30:15 00:01:30:20
00:01:30:20 00:01:30:27		PRESENT-OR-HERE1*	da
00:01:30:27 00:01:30:32
00:01:30:32 00:01:30:42		$INDEX2
00:01:30:42 00:01:30:47
00:01:30:47 00:01:31:10		FEELING3*
00:01:31:10 00:01:31:14
00:01:31:14 00:01:31:18		I1*
00:01:31:18 00:01:31:23
00:01:31:23 00:01:31:26		DAUGHTER1*	tochter
00:01:31:26 00:01:31:31
00:01:31:31 00:01:31:40		FEELING3*
00:01:31:40 00:01:31:45	Their mother wasn't there for them any longer.
00:01:31:45 00:01:32:01		ALSO1A	auch
00:01:32:01 00:01:32:10
00:01:32:10 00:01:32:16		NOT-PRESENT-OR-HERE1*	nicht mehr
00:01:32:16 00:01:32:19
00:01:32:19 00:01:32:26		PRESENT-OR-HERE1	da
00:01:32:26 00:01:32:28
00:01:32:28 00:01:32:37	Besides, she was a princess and had a heart of gold.
00:01:32:37 00:01:32:46		IN-ADDITION1*	dazu
00:01:32:46 00:01:32:47
00:01:32:47 00:01:32:49		$INDEX1*
00:01:32:49 00:01:33:13
00:01:33:13 00:01:33:22		PRINCE1A*	prinzessin
00:01:33:22 00:01:33:35
00:01:33:35 00:01:33:47		HEART2*	herzen
00:01:33:47 00:01:34:04
00:01:34:04 00:01:34:16		FEELING3^*
00:01:34:16 00:01:34:18
00:01:34:18 00:01:34:28		$GEST^
00:01:34:28 00:01:34:43	Before that/
00:01:34:43 00:01:34:49		ALREADY1A	schon
00:01:34:49 00:01:35:03
00:01:35:03 00:01:35:13		BEFORE1G*	vor
00:01:35:13 00:01:35:14
00:01:35:14 00:01:35:21	Do you know Teresa, the nun?
00:01:35:21 00:01:35:27		TO-KNOW-STH-OR-SB1A*
00:01:35:27 00:01:35:36
00:01:35:36 00:01:36:31		$ALPHA1:T-?-H-E-S-A
00:01:36:31 00:01:36:48
00:01:36:48 00:01:37:12		$PROD*
00:01:37:12 00:01:37:21
00:01:37:21 00:01:37:34		NUN1*	nonne
00:01:37:34 00:01:37:44
00:01:37:44 00:01:37:48	I already felt sad for her, but she had been much older.	$INDEX1*
00:01:37:48 00:01:38:01
00:01:38:01 00:01:38:06		ALREADY1A	schon
00:01:38:06 00:01:38:17
00:01:38:17 00:01:38:30		TO-NOTICE2	gemerkt
00:01:38:30 00:01:38:36
00:01:38:36 00:01:38:41		$INDEX1
00:01:38:41 00:01:38:43
00:01:38:43 00:01:38:48		SOON7	bald
00:01:38:48 00:01:39:04
00:01:39:04 00:01:39:22		PERIOD1B^*
00:01:39:22 00:01:39:35
00:01:39:35 00:01:39:39	She died first, and I thought, “It is true, she is dead - there might be a connection between those events.”	$INDEX1*
00:01:39:39 00:01:40:02
00:01:40:02 00:01:40:08		FIRST1A	zuerst
00:01:40:08 00:01:40:16
00:01:40:16 00:01:40:22		DEATH2	[MG]
00:01:40:22 00:01:40:39
00:01:40:39 00:01:40:46		I1
00:01:40:46 00:01:41:12
00:01:41:12 00:01:41:16		RIGHT-OR-AGREED1A*	stimmt
00:01:41:16 00:01:41:22
00:01:41:22 00:01:41:28		$INDEX1||DEATH2
00:01:41:28 00:01:41:32
00:01:41:32 00:01:41:40		THEN1A	dann
00:01:41:40 00:01:41:46
00:01:41:46 00:01:42:00		$INDEX1*
00:01:42:00 00:01:42:04
00:01:42:04 00:01:42:08		VERY7*	[MG]
00:01:42:08 00:01:42:17
00:01:42:17 00:01:42:28		RELATIONSHIP2	beziehung
00:01:42:28 00:01:42:35
00:01:42:35 00:01:42:37		$INDEX1*
00:01:42:37 00:01:42:46	I get goose bumps thinking about it.
00:01:42:46 00:01:43:01		I1*
00:01:43:01 00:01:43:20
00:01:43:20 00:01:43:34		GOOSEBUMBS1
00:01:43:34 00:01:43:46
00:01:43:46 00:01:44:09		VERY7
00:01:44:09 00:01:44:10
00:01:44:10 00:01:44:18	Why did it have to be Diana?	WHY1*	warum
00:01:44:18 00:01:44:19
00:01:44:19 00:01:44:23		OF-ALL-THINGS2	ausgerechnet
00:01:44:23 00:01:44:30
00:01:44:30 00:01:44:36		$INDEX1	diana
00:01:44:36 00:01:44:44
00:01:44:44 00:01:45:11		$GEST^
00:01:45:11 00:01:45:12
00:01:45:12 00:01:45:23	Why did she have that accident?
00:01:45:23 00:01:45:28		WHY1*	warum
00:01:45:28 00:01:45:33
00:01:45:33 00:01:45:39		$PROD*
00:01:45:39 00:01:46:02
00:01:46:02 00:01:46:14		WHY1*	warum
00:01:46:14 00:01:46:18
00:01:46:18 00:01:46:28	It happened because of the paparazzi distracting them.
00:01:46:28 00:01:46:38		THROUGH2A*	durch
00:01:46:38 00:01:46:45
00:01:46:45 00:01:47:02		PAPARAZZI1*	paparazzi
00:01:47:02 00:01:47:19
00:01:47:19 00:01:47:38		DISRUPTION1A	störung
00:01:47:38 00:01:47:42
00:01:47:42 00:01:48:01	That’s so stupid.	$GEST^
00:01:48:01 00:01:48:09
00:01:48:09 00:01:48:18		GARBAGE1A*	müll
00:01:48:18 00:01:48:30
00:01:48:30 00:01:48:35				And the driver had been drinking, as well.	ALSO1A*	auch
00:01:48:35 00:01:48:44
00:01:48:44 00:01:49:00					$GEST-TO-PONDER1^*
00:01:49:00 00:01:49:10	Yes.	$GEST^
00:01:49:10 00:01:49:16
00:01:49:16 00:01:49:19
00:01:49:19 00:01:49:31					TO-DRIVE1*	fahrer
00:01:49:31 00:01:49:39
00:01:49:39 00:01:50:01					ALCOHOL2	alkohol
00:01:50:01 00:01:50:07
00:01:50:07 00:01:50:17					ALSO1A*	auch
00:01:50:17 00:01:50:29
00:01:50:29 00:01:50:39	On top of all things.
00:01:50:39 00:01:50:44		IN-ADDITION1*	dazu
00:01:50:44 00:01:50:48					TO-DRIVE1*	fahren
00:01:50:48 00:01:50:49
00:01:50:49 00:01:51:03
00:01:51:03 00:01:51:09		$GEST-OFF^*
00:01:51:09 00:01:51:10					ALCOHOL2*	alkohol
00:01:51:10 00:01:51:11
00:01:51:11 00:01:51:13	But it hadn't been much.	$ORAL^	aber
00:01:51:13 00:01:51:16
00:01:51:16 00:01:51:19					$GEST-OFF^*
00:01:51:19 00:01:51:20
00:01:51:20 00:01:51:37		MEASURE3^*	[MG]
00:01:51:37 00:01:51:46
00:01:51:46 00:01:51:48		$GEST-I-DONT-KNOW1^*
00:01:51:48 00:01:52:09				Yes, true. But Diana initially survived, didn't she?
00:01:52:09 00:01:52:15					ALSO1A*	auch
00:01:52:15 00:01:52:31
00:01:52:31 00:01:52:40	How/
00:01:52:40 00:01:52:49		LIKE3A*	wie		PAST1^*
00:01:52:49 00:01:53:06
00:01:53:06 00:01:53:12					$ALPHA1:D	diana
00:01:53:12 00:01:53:17
00:01:53:17 00:01:53:25					WAS1*	war auch
00:01:53:25 00:01:53:33
00:01:53:33 00:01:53:49					TO-SURVIVE1*	überleben
00:01:53:49 00:01:54:06
00:01:54:06 00:01:54:13					RIGHT-OR-AGREED1A	stimmt
00:01:54:13 00:01:54:20
00:01:54:20 00:01:54:26	Yes, she‘d survived.			She survived.
00:01:54:26 00:01:54:42					TO-SURVIVE1*	überlebt
00:01:54:42 00:01:54:46		TO-SURVIVE1*	überleben
00:01:54:46 00:01:55:10
00:01:55:10 00:01:55:13				She then died in hospital.
00:01:55:13 00:01:55:15
00:01:55:15 00:01:55:19	She then died at the hospital.
00:01:55:19 00:01:55:30		BUT1^*			$GEST^
00:01:55:30 00:01:55:36
00:01:55:36 00:01:55:40					$INDEX1
00:01:55:40 00:01:55:44
00:01:55:44 00:01:55:45					HOSPITAL2A*	krankenhaus
00:01:55:45 00:01:56:02		$INDEX1	krankenhaus
00:01:56:02 00:01:56:07
00:01:56:07 00:01:56:12		HOSPITAL2A*
00:01:56:12 00:01:56:19
00:01:56:19 00:01:56:20		TO-DIE2	[MG]
00:01:56:20 00:01:56:27					TO-DIE2	sterben
00:01:56:27 00:01:56:29
00:01:56:29 00:01:56:32
00:01:56:32 00:01:56:38					$GEST-OFF^*
00:01:56:38 00:01:56:42
00:01:56:42 00:01:56:44	Yes, exactly.
00:01:56:44 00:01:57:05		$GEST-OFF^
00:01:57:05 00:01:57:16
00:01:57:16 00:01:57:26		EXAMPLE1^*	[MG]
00:01:57:26 00:01:57:32	It was cruel.			She was actually pregnant.
00:01:57:32 00:01:57:38		ATROCIOUS5	grausam
00:01:57:38 00:01:57:44					WAS1*	war
00:01:57:44 00:01:57:49
00:01:57:49 00:01:58:01		I2
00:01:58:01 00:01:58:06
00:01:58:06 00:01:58:12
00:01:58:12 00:01:58:20		$GEST^			PREGNANT1A	schwanger
00:01:58:20 00:01:58:22
00:01:58:22 00:01:58:24					$INDEX1*	drin
00:01:58:24 00:01:58:32	Really? Oh dear!
00:01:58:32 00:01:58:39
00:01:58:39 00:01:58:48		YES2	ja
00:01:58:48 00:01:59:01
00:01:59:01 00:01:59:07					PREGNANT1A*	schwanger
00:01:59:07 00:01:59:09		$INDEX1*
00:01:59:09 00:01:59:17
00:01:59:17 00:01:59:35
00:01:59:35 00:02:00:01	To me it was a cruelty.
00:02:00:01 00:02:00:11		$GEST-OFF^*
00:02:00:11 00:02:00:19
00:02:00:19 00:02:00:29		FOR1*	für mich
00:02:00:29 00:02:00:35
00:02:00:35 00:02:00:40		ATROCIOUS5
00:02:00:40 00:02:01:05
00:02:01:05 00:02:01:14	She always looked so pretty in pictures, and then suddenly, she wasn't there anymore.
00:02:01:14 00:02:01:19		IN-ADDITION1*	dazu
00:02:01:19 00:02:01:30
00:02:01:30 00:02:01:35		PHOTO1*	foto
00:02:01:35 00:02:01:40
00:02:01:40 00:02:02:01		WAS1*	war
00:02:02:01 00:02:02:09
00:02:02:09 00:02:02:13		LIKE-THIS3	so
00:02:02:13 00:02:02:22
00:02:02:22 00:02:02:36		BEAUTIFUL1A	schön
00:02:02:36 00:02:02:41
00:02:02:41 00:02:03:02		$GEST^
00:02:03:02 00:02:03:31
00:02:03:31 00:02:03:35		NOW3*	jetzt
00:02:03:35 00:02:03:45
00:02:03:45 00:02:04:01		NOT3B	nicht mehr
00:02:04:01 00:02:04:06
00:02:04:06 00:02:04:13		PRESENT-OR-HERE1*	da
00:02:04:13 00:02:04:24
00:02:04:24 00:02:04:35	News about the prince are mostly boring.
00:02:04:35 00:02:05:01		NEW1A*	neu neu
00:02:05:01 00:02:05:06
00:02:05:06 00:02:05:11		PRINCE1A*	prinzessin
00:02:05:11 00:02:05:16
00:02:05:16 00:02:05:24		$GEST^
00:02:05:24 00:02:05:28
00:02:05:28 00:02:05:36	But the time before that, while Diana still was a princess, was great.
00:02:05:36 00:02:05:41		NEW1A*	neu
00:02:05:41 00:02:05:44
00:02:05:44 00:02:05:47		WAS1*	war
00:02:05:47 00:02:06:01
00:02:06:01 00:02:06:06		THROUGH2A	durch
00:02:06:06 00:02:06:10
00:02:06:10 00:02:06:14		TIME5A*
00:02:06:14 00:02:06:21
00:02:06:21 00:02:06:25		BEAUTIFUL1A*	schön
00:02:06:25 00:02:06:30
00:02:06:30 00:02:06:36		TIME5A*	zeit
00:02:06:36 00:02:06:40		$INDEX1
00:02:06:40 00:02:07:05
00:02:07:05 00:02:07:13		PRINCE1A*	prinzessin
00:02:07:13 00:02:07:31
00:02:07:31 00:02:07:34		$ALPHA1:D	diana
00:02:07:34 00:02:08:19
00:02:08:19 00:02:08:27				There were so many photos of Diana, but she smiled in each of them that got printed.
00:02:08:27 00:02:08:45					TO-PRODUCE2^*	[MG]
00:02:08:45 00:02:09:05
00:02:09:05 00:02:09:10					MUCH-OR-MANY1A*	viel
00:02:09:10 00:02:09:22
00:02:09:22 00:02:09:25	That's true.				PICTURE1*	b{ild}
00:02:09:25 00:02:09:26
00:02:09:26 00:02:09:40		RIGHT-OR-AGREED1A*
00:02:09:40 00:02:09:43
00:02:09:43 00:02:10:01					PICTURE4*
00:02:10:01 00:02:10:08
00:02:10:08 00:02:10:27	You are right.				TO-PRINT1^	[MG]
00:02:10:27 00:02:10:28		RIGHT-OR-AGREED1A*
00:02:10:28 00:02:10:38
00:02:10:38 00:02:10:40					$ALPHA1:D*	diana diana
00:02:10:40 00:02:11:06
00:02:11:06 00:02:11:37
00:02:11:37 00:02:11:44					TO-LAUGH1*	lachen
00:02:11:44 00:02:12:01
00:02:12:01 00:02:12:18					INVOLVED1A	dabei
00:02:12:18 00:02:12:31				There was never a fake smile to be seen.
00:02:12:31 00:02:12:39					NEVER2A	nie
00:02:12:39 00:02:12:47
00:02:12:47 00:02:13:14	It's true; she always smiled and never looked troubled.
00:02:13:14 00:02:13:19					$PROD*
00:02:13:19 00:02:13:28		TO-LAUGH1*	[MG]
00:02:13:28 00:02:13:44		RIGHT-OR-AGREED1A*
00:02:13:44 00:02:13:49
00:02:13:49 00:02:14:02				That was incredible.
00:02:14:02 00:02:14:03
00:02:14:03 00:02:14:17					VERY7*	[MG]
00:02:14:17 00:02:14:22		$NUM-ONE-TO-TEN1A:1d	nicht einmal
00:02:14:22 00:02:14:25
00:02:14:25 00:02:14:27
00:02:14:27 00:02:14:28		SERIOUS1A	[MG]
00:02:14:28 00:02:14:36					$GEST^
00:02:14:36 00:02:14:47
00:02:14:47 00:02:15:02		YES1A
00:02:15:02 00:02:15:20
00:02:15:20 00:02:15:25		RIGHT-OR-AGREED1A	stimmt
00:02:15:25 00:02:15:43
00:02:15:43 00:02:16:48
00:02:16:48 00:02:19:01							Is there anything else about Diana's life?
00:02:19:01 00:02:19:09				You've seen the movie, haven't you?
00:02:19:09 00:02:19:22	What movie are you talking about?
00:02:19:22 00:02:19:28					$GEST^
00:02:19:28 00:02:19:31
00:02:19:31 00:02:19:33		$GEST^
00:02:19:33 00:02:19:37					$INDEX2*
00:02:19:37 00:02:19:48
00:02:19:48 00:02:20:01					MOVIE1	film
00:02:20:01 00:02:20:15
00:02:20:15 00:02:20:18
00:02:20:18 00:02:20:27
00:02:20:27 00:02:20:32					TO-SEE1
00:02:20:32 00:02:20:33
00:02:20:33 00:02:20:34				After her death, her story was told in a movie.
00:02:20:34 00:02:20:42					BEEN1	gewesen
00:02:20:42 00:02:21:02
00:02:21:02 00:02:21:13					PERIOD1A^*
00:02:21:13 00:02:21:16
00:02:21:16 00:02:21:23	That movie, yes, I've watched it.
00:02:21:23 00:02:21:32					LIKE3B*	wie
00:02:21:32 00:02:21:44
00:02:21:44 00:02:22:01		MOVIE1	diana
00:02:22:01 00:02:22:06					$INDEX1*
00:02:22:06 00:02:22:09
00:02:22:09 00:02:22:10
00:02:22:10 00:02:22:14		YES1A	film
00:02:22:14 00:02:22:21
00:02:22:21 00:02:22:29					DEATH2	[MG]
00:02:22:29 00:02:22:35		TO-SEE1	sehen
00:02:22:35 00:02:22:45
00:02:22:45 00:02:23:00
00:02:23:00 00:02:23:04		RIGHT-OR-AGREED1A*
00:02:23:04 00:02:23:18					THEN1A*
00:02:23:18 00:02:23:24
00:02:23:24 00:02:23:38
00:02:23:38 00:02:23:43					MOVIE1	schauspieler
00:02:23:43 00:02:24:00
00:02:24:00 00:02:24:29
00:02:24:29 00:02:24:43					HISTORY-OR-STORY1B*
00:02:24:43 00:02:24:46
00:02:24:46 00:02:25:11					HISTORY-OR-STORY2	geschichte
00:02:25:11 00:02:25:16	Yes.
00:02:25:16 00:02:25:19
00:02:25:19 00:02:25:42		YES2
00:02:25:42 00:02:25:49					$GEST^
00:02:25:49 00:02:26:05
00:02:26:05 00:02:26:06					MOVIE1*	film
00:02:26:06 00:02:26:09
00:02:26:09 00:02:26:21
00:02:26:21 00:02:26:29					TO-JOIN1A^*
00:02:26:29 00:02:26:33
00:02:26:33 00:02:26:35				I watched the movie.
00:02:26:35 00:02:26:37					I2*
00:02:26:37 00:02:26:43
00:02:26:43 00:02:26:48					TO-SEE1*
00:02:26:48 00:02:27:09
00:02:27:09 00:02:27:11					PERIOD1A^*
00:02:27:11 00:02:27:19	Yes, I've seen it.
00:02:27:19 00:02:27:25		TO-SEE1*	sehen
00:02:27:25 00:02:27:26
00:02:27:26 00:02:27:30
00:02:27:30 00:02:27:34		$GEST^
00:02:27:34 00:02:27:38					I2*
00:02:27:38 00:02:27:42
00:02:27:42 00:02:27:46
00:02:27:46 00:02:28:03		TO-SEE1*
00:02:28:03 00:02:28:07
00:02:28:07 00:02:28:09	It was very touching.
00:02:28:09 00:02:28:17		VERY7*	[MG]
00:02:28:17 00:02:28:18
00:02:28:18 00:02:28:24				I watched the movie, but it wasn't that good.
00:02:28:24 00:02:28:35		GOOSEBUMBS1
00:02:28:35 00:02:28:40					BUT1*	aber
00:02:28:40 00:02:28:45
00:02:28:45 00:02:29:03
00:02:29:03 00:02:29:09	I had to cry.
00:02:29:09 00:02:29:13		I1
00:02:29:13 00:02:29:16
00:02:29:16 00:02:29:21					WAS1*	war
00:02:29:21 00:02:29:30		TO-CRY1*	[MG]
00:02:29:30 00:02:29:36
00:02:29:36 00:02:29:46					MOVIE1*	film
00:02:29:46 00:02:30:00
00:02:30:00 00:02:30:05
00:02:30:05 00:02:30:07		$GEST-NM^
00:02:30:07 00:02:30:13					TO-KNOW-STH-OR-SB1A*	kenn
00:02:30:13 00:02:30:18
00:02:30:18 00:02:30:27					BUT1*	aber
00:02:30:27 00:02:30:36
00:02:30:36 00:02:30:47					MOVIE1*	film
00:02:30:47 00:02:31:00
00:02:31:00 00:02:31:05					WAS1*	war
00:02:31:05 00:02:31:18
00:02:31:18 00:02:31:23					NOT3A	nicht
00:02:31:23 00:02:31:27
00:02:31:27 00:02:31:38					GREAT1A*	toll
00:02:31:38 00:02:31:46
00:02:31:46 00:02:31:47	Right.				$GEST-OFF^*
00:02:31:47 00:02:32:09
00:02:32:09 00:02:32:19		RIGHT-OR-AGREED1A*	stimmt stimmt	I didn't really like the movie’s effects much. And I am generally not too keen on German movies.
00:02:32:19 00:02:32:45
00:02:32:45 00:02:32:47					TO-CUT-WITH-SCISSORS1^*	[MG]
00:02:32:47 00:02:33:04
00:02:33:04 00:02:33:17
00:02:33:17 00:02:33:29					WHO2*	wer
00:02:33:29 00:02:33:39
00:02:33:39 00:02:34:02					TO-PRODUCE2^*	[MG]
00:02:34:02 00:02:34:20
00:02:34:20 00:02:34:34					$GEST^
00:02:34:34 00:02:34:48
00:02:34:48 00:02:35:10					PERFECT4	[MG]
00:02:35:10 00:02:35:22
00:02:35:22 00:02:35:23	Not/
00:02:35:23 00:02:35:29					GERMAN1	deutsch
00:02:35:29 00:02:35:34
00:02:35:34 00:02:35:43					MOVIE1	film
00:02:35:43 00:02:35:46		NO3B^
00:02:35:46 00:02:35:48
00:02:35:48 00:02:36:00
00:02:36:00 00:02:36:17		$GEST^			TO-BE-ANNOYED3^*	[MG]
00:02:36:17 00:02:36:18
00:02:36:18 00:02:36:29	That's right.
00:02:36:29 00:02:36:33		YES1A*
00:02:36:33 00:02:36:36
00:02:36:36 00:02:36:37		RIGHT-OR-AGREED1B	stimmt stimmt
00:02:36:37 00:02:36:49
00:02:36:49 00:02:37:13
00:02:37:13 00:02:37:32	Yet, the main point was to see that it had been a great time.
00:02:37:32 00:02:37:44		MAIN1A^	[MG]
00:02:37:44 00:02:38:06
00:02:38:06 00:02:38:19		TO-SEE1*	sehen	That's true.
00:02:38:19 00:02:38:29
00:02:38:29 00:02:38:31					RIGHT-OR-AGREED1A*	stimmt
00:02:38:31 00:02:38:34		BEAUTIFUL1A*	schön
00:02:38:34 00:02:38:39
00:02:38:39 00:02:39:02
00:02:39:02 00:02:39:08		TIME5B*	zeit
00:02:39:08 00:02:39:10
00:02:39:10 00:02:39:17	There is a huge photo album, as well.
00:02:39:17 00:02:39:23		PHOTO1*	fotoalbum
00:02:39:23 00:02:39:32
00:02:39:32 00:02:39:40		ALBUM1
00:02:39:40 00:02:39:47
00:02:39:47 00:02:40:03		THICK8*	[MG]
00:02:40:03 00:02:40:13
00:02:40:13 00:02:40:20		THERE-IS3*	gibt
00:02:40:20 00:02:40:30
00:02:40:30 00:02:40:40		ALSO1A*	auch
00:02:40:40 00:02:40:47
00:02:40:47 00:02:41:14	Her biography is very interesting to read.
00:02:41:14 00:02:41:25		TO-LIVE1C	leben
00:02:41:25 00:02:41:34
00:02:41:34 00:02:41:40		$ALPHA1:B	biografie
00:02:41:40 00:02:41:48
00:02:41:48 00:02:42:06		TO-LEAF-THROUGH1*
00:02:42:06 00:02:42:12		TO-LEAF-THROUGH3*
00:02:42:12 00:02:42:24
00:02:42:24 00:02:42:30		INTEREST1B*	[MG]
00:02:42:30 00:02:42:38
00:02:42:38 00:02:43:10		TO-LEAF-THROUGH3*
00:02:43:10 00:02:43:13
00:02:43:13 00:02:43:16	Very moving. Right.
00:02:43:16 00:02:43:25		GOOSEBUMBS1	[MG]
00:02:43:25 00:02:43:35
00:02:43:35 00:02:43:39		YES1A	stimmt
00:02:43:39 00:02:44:09
00:02:44:09 00:02:45:04