dgskorpus_mue_05: Experience Report

Topics City and Country: USA; Finances: Solidarity Surcharge; GDR: Fall of the Berlin Wall (1989); Nature: High Flood of the Century; Politics; Politics: Election; Politics: Fall of the Berlin Wall (1989); Politics: Obama; Politics: USA; Religion: Conclave (2005); Society: Fall of the Berlin Wall (1989); Terror, War, Catastrophes: High Flood of the Century; Vacation, Free Time, Traveling: Passau; Weather: High Flood of the Century

	Translation	Lexeme/Sign	Mouth	Translation	Lexeme/Sign	Mouth	Moderator
00:00:00:00 00:00:01:06
00:00:01:06 00:00:01:25				Before the Fall of the Berlin Wall in 1989/
00:00:01:25 00:00:01:40					BECAUSE-OF1	wegen
00:00:01:40 00:00:02:09
00:00:02:09 00:00:02:33					FALL-OF-THE-BERLIN-WALL2	mauerfall
00:00:02:33 00:00:03:07
00:00:03:07 00:00:03:21					$NUM-HUNDRED3*	neunzehnhundert
00:00:03:21 00:00:03:28
00:00:03:28 00:00:03:34					$NUM-ONE-TO-TEN1B:9	neunundachtzig
00:00:03:34 00:00:03:45
00:00:03:45 00:00:04:43					$NUM-ONE-TO-TEN1A:8d
00:00:04:43 00:00:04:46				I don’t really remember which month it was.
00:00:04:46 00:00:05:02					WHICH2*	welcher
00:00:05:02 00:00:05:10
00:00:05:10 00:00:05:27					MONTH1*	monat
00:00:05:27 00:00:05:37
00:00:05:37 00:00:06:24					BETWEEN1D*
00:00:06:24 00:00:06:34
00:00:06:34 00:00:07:07					EXACTLY1*	[MG]
00:00:07:07 00:00:07:11
00:00:07:11 00:00:07:17				… I was really surprised and couldn’t quite believe it.
00:00:07:17 00:00:07:21					I1
00:00:07:21 00:00:07:28
00:00:07:28 00:00:07:46					SELF1A	selbst
00:00:07:46 00:00:07:47
00:00:07:47 00:00:08:00					I1
00:00:08:00 00:00:08:14
00:00:08:14 00:00:08:42					TO-SEE1
00:00:08:42 00:00:08:46
00:00:08:46 00:00:09:26					REALLY2*
00:00:09:26 00:00:09:31				It was good before. East and - no, wait- west and east were separated by the wall. I liked that.
00:00:09:31 00:00:10:07					BEFORE1G	vor
00:00:10:07 00:00:10:17
00:00:10:17 00:00:10:39					GOOD1*
00:00:10:39 00:00:11:02
00:00:11:02 00:00:11:36					EAST1C	ost
00:00:11:36 00:00:11:49
00:00:11:49 00:00:12:30					WEST1A	west
00:00:12:30 00:00:12:43
00:00:12:43 00:00:13:04					EAST1A*	ost
00:00:13:04 00:00:13:15
00:00:13:15 00:00:13:20					ROUND12^
00:00:13:20 00:00:13:38
00:00:13:38 00:00:14:03					PART1A
00:00:14:03 00:00:14:12
00:00:14:12 00:00:14:29					WALL1A*	mauer
00:00:14:29 00:00:14:38
00:00:14:38 00:00:14:42					I1
00:00:14:42 00:00:15:03
00:00:15:03 00:00:15:06					TO-SEE1	[MG]
00:00:15:06 00:00:15:14
00:00:15:14 00:00:15:38					GOOD1*
00:00:15:38 00:00:15:44				Then 1989, the wall finally fell.
00:00:15:44 00:00:16:29					PROCEEDING2*
00:00:16:29 00:00:16:32
00:00:16:32 00:00:16:39					$NUM-HUNDRED3*	neunzehn{hundert}neunundachtzig
00:00:16:39 00:00:16:42
00:00:16:42 00:00:17:02					$NUM-ONE-TO-TEN1B:9*
00:00:17:02 00:00:17:07
00:00:17:07 00:00:17:21					$NUM-ONE-TO-TEN1A:8d
00:00:17:21 00:00:17:30
00:00:17:30 00:00:17:40					REALLY2
00:00:17:40 00:00:18:03
00:00:18:03 00:00:18:31					FALL-OF-THE-BERLIN-WALL2	[MG]
00:00:18:31 00:00:18:38
00:00:18:38 00:00:19:06				Back then when I saw it, I asked myself why it fell.
00:00:19:06 00:00:19:09					I1
00:00:19:09 00:00:19:21
00:00:19:21 00:00:19:29					TO-SEE1	[MG]
00:00:19:29 00:00:19:38
00:00:19:38 00:00:19:39					I1	[MG]
00:00:19:39 00:00:20:06
00:00:20:06 00:00:20:31					$GEST-OFF^*	[MG]
00:00:20:31 00:00:20:40					WHY10B	warum
00:00:20:40 00:00:20:44
00:00:20:44 00:00:21:00					WHY1*
00:00:21:00 00:00:21:17
00:00:21:17 00:00:21:33					FALL-OF-THE-BERLIN-WALL2	[MG]
00:00:21:33 00:00:21:45
00:00:21:45 00:00:22:02				I didn’t expect it to happen and I wasn’t thrilled about it either.
00:00:22:02 00:00:22:18					EXPECTATION1A*	erw{artet}
00:00:22:18 00:00:22:21
00:00:22:21 00:00:22:30					$INDEX1
00:00:22:30 00:00:22:32
00:00:22:32 00:00:22:35					NOT3A*	nicht
00:00:22:35 00:00:22:38
00:00:22:38 00:00:23:08					ENTHUSIASTIC1	begeistert
00:00:23:08 00:00:23:13
00:00:23:13 00:00:23:15					I1
00:00:23:15 00:00:23:23
00:00:23:23 00:00:23:31					ON-PERSON1
00:00:23:31 00:00:23:45
00:00:23:45 00:00:24:31					$GEST-OFF^	[MG]
00:00:24:31 00:00:24:40				Because I had to pay the solidarity tax ever since and I don’t like it.
00:00:24:40 00:00:25:17					BECAUSE-OF1	wegen
00:00:25:17 00:00:25:25
00:00:25:25 00:00:25:26					I1	[MG]
00:00:25:26 00:00:25:33
00:00:25:33 00:00:25:36					MUST1A*	muss
00:00:25:36 00:00:25:42
00:00:25:42 00:00:25:45					I1
00:00:25:45 00:00:26:05
00:00:26:05 00:00:26:12					$ALPHA-SK:S	solidarität
00:00:26:12 00:00:26:43					$ALPHA1:#-A-#-T	solidarität
00:00:26:43 00:00:26:46
00:00:26:46 00:00:26:48					I1*
00:00:26:48 00:00:27:08
00:00:27:08 00:00:28:17					TO-PAY2^*	[MG]
00:00:28:17 00:00:28:20
00:00:28:20 00:00:29:05					TO-LAST1
00:00:29:05 00:00:29:12
00:00:29:12 00:00:29:16					STILL1A*
00:00:29:16 00:00:29:21
00:00:29:21 00:00:29:41					UNTIL-TODAY2	bis heute
00:00:29:41 00:00:29:49
00:00:29:49 00:00:30:11					STILL1A	noch
00:00:30:11 00:00:30:24
00:00:30:24 00:00:30:25					I1	[MG]
00:00:30:25 00:00:30:35
00:00:30:35 00:00:30:45					SELF1A*	selbst
00:00:30:45 00:00:31:12
00:00:31:12 00:00:31:34					$GEST-I-DONT-KNOW1^*
00:00:31:34 00:00:32:00				Even with the sports grant application which was applicable in all of Germany, we still had to pay more subventions than before the reunion.
00:00:32:00 00:00:32:28					AND2A	und
00:00:32:28 00:00:32:36
00:00:32:36 00:00:32:46					ALSO3A*	auch
00:00:32:46 00:00:33:13
00:00:33:13 00:00:33:21					IN-ADDITION1^*	im
00:00:33:21 00:00:33:49
00:00:33:49 00:00:34:16					EXAMPLE1	beispiel
00:00:34:16 00:00:34:43
00:00:34:43 00:00:35:44					SPORTS1	sport
00:00:35:44 00:00:36:24
00:00:36:24 00:00:37:02					SUBSIDY1*	zuschuss
00:00:37:02 00:00:37:09
00:00:37:09 00:00:37:43					REQUEST1B	antrag
00:00:37:43 00:00:38:03
00:00:38:03 00:00:38:16					WAS1*	war
00:00:38:16 00:00:38:40
00:00:38:40 00:00:39:11					$PROD*
00:00:39:11 00:00:39:21
00:00:39:21 00:00:39:23					GERMAN1	deutschland
00:00:39:23 00:00:39:28
00:00:39:28 00:00:40:02					AREA1A*
00:00:40:02 00:00:40:14
00:00:40:14 00:00:40:29					$ALPHA1:D-R	d-d-r
00:00:40:29 00:00:40:37
00:00:40:37 00:00:40:46					NOT-YET5*	noch nicht
00:00:40:46 00:00:41:03
00:00:41:03 00:00:41:20					TO-STAY1*
00:00:41:20 00:00:41:35
00:00:41:35 00:00:42:06					$PROD*
00:00:42:06 00:00:42:31
00:00:42:31 00:00:43:02					SUBSIDY1*	zuschuss
00:00:43:02 00:00:43:20
00:00:43:20 00:00:43:29					MORE1*	mehr
00:00:43:29 00:00:43:37
00:00:43:37 00:00:44:31					TO-GIVE-MONEY2A^*	[MG]
00:00:44:31 00:00:44:34
00:00:44:34 00:00:44:41				They were introduced after the Fall of the Berlin Wall, the country got bigger and the subvention’s amount got smaller and smaller.
00:00:44:41 00:00:44:49					LATER7*
00:00:44:49 00:00:45:08
00:00:45:08 00:00:46:01					FALL-OF-THE-BERLIN-WALL2	mauerfall
00:00:46:01 00:00:46:33
00:00:46:33 00:00:47:11					IN-ADDITION1*	dazu
00:00:47:11 00:00:47:25
00:00:47:25 00:00:48:04					TO-SPREAD2*	[MG]
00:00:48:04 00:00:48:15
00:00:48:15 00:00:48:22					SUBSIDY1*	zuschuss
00:00:48:22 00:00:48:34
00:00:48:34 00:00:49:08					LITTLE-BIT7A*	immer wenig wenig
00:00:49:08 00:00:49:13
00:00:49:13 00:00:49:46					\|\|TO-PAY3*	[MG]
00:00:49:46 00:00:50:10				I’m not thrilled about it.
00:00:50:10 00:00:50:13					TO-SEE1	sehen
00:00:50:13 00:00:50:19
00:00:50:19 00:00:50:21					I1	ich
00:00:50:21 00:00:50:30
00:00:50:30 00:00:50:42					ENTHUSIASTIC1	begeistert
00:00:50:42 00:00:50:46
00:00:50:46 00:00:51:20					$GEST-OFF^
00:00:51:20 00:00:51:32
00:00:51:32 00:00:51:36					I2*
00:00:51:36 00:00:51:44							When and where did you hear about the Fall of the Berlin Wall?
00:00:51:44 00:00:52:11					$GEST-OFF^*
00:00:52:11 00:00:52:28
00:00:52:28 00:00:57:10
00:00:57:10 00:00:57:22
00:00:57:22 00:00:57:36				From TV.
00:00:57:36 00:00:57:39					CAN1
00:00:57:39 00:00:57:42
00:00:57:42 00:00:57:45					THROUGH2A	durch
00:00:57:45 00:00:58:05
00:00:58:05 00:00:58:10					SOURCE-TO-EMANATE1^*	fernsehen
00:00:58:10 00:00:58:21					SOURCE-TO-EMANATE1^*	fernsehen	What did you feel when you heard about it? Were you overjoyed or didn’t it affect you much? Could you tell us a little more about it please?
00:00:58:21 00:00:58:36
00:00:58:36 00:00:59:03					$GEST-OFF^*
00:00:59:03 00:00:59:18
00:00:59:18 00:01:04:10
00:01:04:10 00:01:04:13				I watched it.
00:01:04:13 00:01:04:17					TO-SEE1*	sehen
00:01:04:17 00:01:05:14
00:01:05:14 00:01:05:29				At first, some people started making holes into the wall and removed the stones.
00:01:05:29 00:01:05:40					BEGINNING1A	anfang
00:01:05:40 00:01:06:03
00:01:06:03 00:01:06:26					WALL1B*	mauer
00:01:06:26 00:01:06:39
00:01:06:39 00:01:07:19					SEVERAL1	einige
00:01:07:19 00:01:07:36
00:01:07:36 00:01:08:36					TO-BEAT1*	[MG]
00:01:08:36 00:01:09:14
00:01:09:14 00:01:09:17					HOLE1A*	loch
00:01:09:17 00:01:09:19
00:01:09:19 00:01:09:37					$PROD*
00:01:09:37 00:01:09:42
00:01:09:42 00:01:10:39					OFF1A*	ab ab ab
00:01:10:39 00:01:10:42
00:01:10:42 00:01:10:49				When I saw that, I couldn’t really believe it.
00:01:10:49 00:01:11:03					I1
00:01:11:03 00:01:11:07
00:01:11:07 00:01:11:35					TO-SEE1
00:01:11:35 00:01:12:02
00:01:12:02 00:01:12:26					TO-LOOK-AT2^*
00:01:12:26 00:01:12:33
00:01:12:33 00:01:13:08					REALLY2*
00:01:13:08 00:01:13:20				They weren’t finished yet, progress was slow.
00:01:13:20 00:01:13:29					FURTHER1A^*	noch
00:01:13:29 00:01:13:37
00:01:13:37 00:01:14:46					SLOW2	langsam
00:01:14:46 00:01:15:11
00:01:15:11 00:01:15:23				While I was watching it, I thought, “Dammit!“.
00:01:15:23 00:01:15:25					I1*	[MG]
00:01:15:25 00:01:15:38
00:01:15:38 00:01:16:19					TO-OBSERVE3*
00:01:16:19 00:01:16:29
00:01:16:29 00:01:16:43					DAMN2C	mist
00:01:16:43 00:01:17:08
00:01:17:08 00:01:17:30					$GEST-OFF^
00:01:17:30 00:01:17:48				Finally the wall fell. It was decided.
00:01:17:48 00:01:18:25					FALL-OF-THE-BERLIN-WALL2	[MG]
00:01:18:25 00:01:18:40
00:01:18:40 00:01:19:10					SOLID1	fest
00:01:19:10 00:01:19:11
00:01:19:11 00:01:19:27				People were running everywhere, rejoiced and hugged each other.
00:01:19:27 00:01:20:04					TO-SWARM1*	[MG]
00:01:20:04 00:01:20:12
00:01:20:12 00:01:20:25					TO-HUG3*
00:01:20:25 00:01:20:46
00:01:20:46 00:01:21:23					TO-SWARM1*
00:01:21:23 00:01:21:30
00:01:21:30 00:01:22:10				I didn’t really like what happened.
00:01:22:10 00:01:22:14					$GEST-OFF^
00:01:22:14 00:01:22:25
00:01:22:25 00:01:23:02					REALLY2
00:01:23:02 00:01:23:15
00:01:23:15 00:01:23:18					I2*	[MG]
00:01:23:18 00:01:23:29
00:01:23:29 00:01:23:44					$GEST-OFF^
00:01:23:44 00:01:24:07
00:01:24:07 00:01:24:09					I1
00:01:24:09 00:01:24:19
00:01:24:19 00:01:24:31					SELF1A	selbst
00:01:24:31 00:01:24:35
00:01:24:35 00:01:24:46				Then I heard that they were going to transfer the solidarity tax from our wage and then I was even more displeased.
00:01:24:46 00:01:25:34					PROCEEDING1A
00:01:25:34 00:01:25:45
00:01:25:45 00:01:26:07					EXAMPLE1
00:01:26:07 00:01:26:17
00:01:26:17 00:01:26:27					TO-HEAR1*
00:01:26:27 00:01:26:37
00:01:26:37 00:01:27:06					WAGE1*	lohn
00:01:27:06 00:01:27:13
00:01:27:13 00:01:27:26					$ALPHA1:Z	zuschlag
00:01:27:26 00:01:27:33
00:01:27:33 00:01:27:34					I1	ich
00:01:27:34 00:01:27:43
00:01:27:43 00:01:29:00					TO-PAY2*
00:01:29:00 00:01:29:12
00:01:29:12 00:01:29:29					THROUGH2A*	durch
00:01:29:29 00:01:29:36
00:01:29:36 00:01:29:43					EAST1C	osten
00:01:29:43 00:01:29:44
00:01:29:44 00:01:30:00					$INDEX1
00:01:30:00 00:01:30:09
00:01:30:09 00:01:30:14					AREA1A^*
00:01:30:14 00:01:30:22
00:01:30:22 00:01:30:26					I1
00:01:30:26 00:01:30:31
00:01:30:31 00:01:31:13					TO-PAY2*
00:01:31:13 00:01:31:19
00:01:31:19 00:01:32:10					AS-ALWAYS1*
00:01:32:10 00:01:32:20
00:01:32:20 00:01:32:23					I1*
00:01:32:23 00:01:32:32
00:01:32:32 00:01:32:38					$GEST-OFF^
00:01:32:38 00:01:32:42
00:01:32:42 00:01:32:46					NOT6*	nicht
00:01:32:46 00:01:33:07
00:01:33:07 00:01:33:14					ENTHUSIASTIC1*	begeistert
00:01:33:14 00:01:33:15
00:01:33:15 00:01:33:16					I2*
00:01:33:16 00:01:33:23
00:01:33:23 00:01:33:33					ON-PERSON1
00:01:33:33 00:01:33:43
00:01:33:43 00:01:33:46					$GEST-OFF^
00:01:33:46 00:01:34:10
00:01:34:10 00:01:34:40
00:01:34:40 00:01:36:38							So you heard about it on the TV.
00:01:36:38 00:01:37:01				Yes, I saw it on TV.
00:01:37:01 00:01:37:10					SOURCE-TO-EMANATE1^*	fernsehen
00:01:37:10 00:01:37:16					SOURCE-TO-EMANATE1^*	fernsehen
00:01:37:16 00:01:37:42
00:01:37:42 00:01:39:25							Did you just randomly turn on the TV or did a colleague tell you about it?
00:01:39:25 00:01:39:41				I always watch the Tagesschau [German news show] and read the subtitles.
00:01:39:41 00:01:39:49					ALWAYS4A*	immer
00:01:39:49 00:01:40:10
00:01:40:10 00:01:40:23					SOURCE-TO-EMANATE1^*	tagesschau
00:01:40:23 00:01:41:01
00:01:41:01 00:01:41:03					I1
00:01:41:03 00:01:41:13
00:01:41:13 00:01:42:02					REMOTE1
00:01:42:02 00:01:42:13
00:01:42:13 00:01:42:34					MESSAGE1
00:01:42:34 00:01:42:40
00:01:42:40 00:01:43:13					SUBTITLES2	untertitel
00:01:43:13 00:01:43:15
00:01:43:15 00:01:43:18					$INDEX1
00:01:43:18 00:01:43:23
00:01:43:23 00:01:44:00				That’s how I heard about it.	$INDEX1	[MG]
00:01:44:00 00:01:44:05
00:01:44:05 00:01:44:23					REALLY2*
00:01:44:23 00:01:44:34
00:01:44:34 00:01:45:21					FALL-OF-THE-BERLIN-WALL2	mauerfall
00:01:45:21 00:01:45:22
00:01:45:22 00:01:45:36					$GEST-OFF^	[MG]
00:01:45:36 00:01:45:46				They showed repeats of the scenes every day.
00:01:45:46 00:01:46:12					IT-WORKS1*
00:01:46:12 00:01:46:23
00:01:46:23 00:01:46:32					DAILY2A	täglich
00:01:46:32 00:01:46:39
00:01:46:39 00:01:46:48					ALWAYS5*	immer
00:01:46:48 00:01:47:05
00:01:47:05 00:01:47:25					REPETITION1B	wiederholung
00:01:47:25 00:01:47:33
00:01:47:33 00:01:47:34					TO-SEE1
00:01:47:34 00:01:47:44
00:01:47:44 00:01:48:29					TO-SHOW1A*	zeigen zeigen zeigen
00:01:48:29 00:01:48:37
00:01:48:37 00:01:49:01				I saw it and couldn’t do anything about it.
00:01:49:01 00:01:49:04					I1
00:01:49:04 00:01:49:15
00:01:49:15 00:01:49:37					TO-LOOK-AT2^	[MG]
00:01:49:37 00:01:50:01
00:01:50:01 00:01:50:20					$GEST-OFF^	[MG]
00:01:50:20 00:01:50:40
00:01:50:40 00:01:50:48					TO-BE-SILENT3^\|\|$INDEX1
00:01:50:48 00:01:51:09
00:01:51:09 00:01:51:15					OVER-AND-DONE1	aus
00:01:51:15 00:01:51:21
00:01:51:21 00:01:51:30					$GEST-OFF^
00:01:51:30 00:01:51:32
00:01:51:32 00:01:51:43				Now over 20 years have passed since the Fall of the Berlin Wall.
00:01:51:43 00:01:52:02					ALREADY1B	schon
00:01:52:02 00:01:52:16
00:01:52:16 00:01:52:24					TO-BELIEVE2B
00:01:52:24 00:01:52:47
00:01:52:47 00:01:53:12					OVER-OR-ABOUT1	über
00:01:53:12 00:01:53:22
00:01:53:22 00:01:53:28					$NUM-TENS1:2d	zwanzig
00:01:53:28 00:01:53:30
00:01:53:30 00:01:53:44					YEAR2A*	jahre
00:01:53:44 00:01:54:01
00:01:54:01 00:01:54:11					BACK-THEN1*
00:01:54:11 00:01:54:21
00:01:54:21 00:01:54:40					FALL-OF-THE-BERLIN-WALL2	mauerfall
00:01:54:40 00:01:54:41
00:01:54:41 00:01:54:46				So far it hasn’t been going too well.
00:01:54:46 00:01:55:19					UNTIL-NOW1	bis
00:01:55:19 00:01:55:27
00:01:55:27 00:01:55:40					$GEST-OFF^*
00:01:55:40 00:01:56:01
00:01:56:01 00:01:57:10
00:01:57:10 00:02:06:10							You also chose another topic. How did you get to know about that? Number six?
00:02:06:10 00:02:06:16
00:02:06:16 00:02:07:05				Because of/ There were presidential elections in the U.S. about two or three years ago.
00:02:07:05 00:02:07:30					THROUGH2A*	durch
00:02:07:30 00:02:08:04
00:02:08:04 00:02:08:17					APPROXIMATELY1*	[MG]
00:02:08:17 00:02:08:22
00:02:08:22 00:02:08:48					$GEST-OFF^*
00:02:08:48 00:02:09:22					MAYBE1*	vielleicht
00:02:09:22 00:02:09:33
00:02:09:33 00:02:10:08					YEAR1B*	zwei
00:02:10:08 00:02:10:12
00:02:10:12 00:02:10:16					YEAR1B*	drei jahre
00:02:10:16 00:02:10:23
00:02:10:23 00:02:10:40					RECENTLY2*	[MG]
00:02:10:40 00:02:11:39
00:02:11:39 00:02:11:47					AMERICA1*	amerika
00:02:11:47 00:02:12:02
00:02:12:02 00:02:12:13					$INDEX1
00:02:12:13 00:02:12:35
00:02:12:35 00:02:12:42					NEW1A*	neu
00:02:12:42 00:02:13:01
00:02:13:01 00:02:13:29					PRESIDENT1*	präsident
00:02:13:29 00:02:13:37
00:02:13:37 00:02:14:26					ELECTION2*	wahl
00:02:14:26 00:02:14:32				Elections were in full progress and finally Obama became the new president.
00:02:14:32 00:02:15:38					TO-SWARM1^
00:02:15:38 00:02:15:49
00:02:15:49 00:02:16:20					REALLY2	[MG]
00:02:16:20 00:02:16:28
00:02:16:28 00:02:16:46					SELECTION1E*
00:02:16:46 00:02:17:11
00:02:17:11 00:02:17:21					TO-GIVE2^
00:02:17:21 00:02:17:40
00:02:17:40 00:02:18:37					$ALPHA1:O-#-A	obama
00:02:18:37 00:02:18:46				I didn’t know what to think of him.
00:02:18:46 00:02:18:49					I1
00:02:18:49 00:02:19:09
00:02:19:09 00:02:19:19					TO-LOOK-AT1*
00:02:19:19 00:02:19:31
00:02:19:31 00:02:19:40					TO-LOOK-AT3*
00:02:19:40 00:02:19:47
00:02:19:47 00:02:19:49					I2*
00:02:19:49 00:02:20:10
00:02:20:10 00:02:20:48					$GEST-NM-TO-SHRUG1^
00:02:20:48 00:02:21:02
00:02:21:02 00:02:21:29				I got more interested when Obama first visited Germany and talked to Merkel.	$INDEX1*	obama
00:02:21:29 00:02:21:34
00:02:21:34 00:02:22:31					$INDEX1
00:02:22:31 00:02:22:43
00:02:22:43 00:02:23:09					LATER4
00:02:23:09 00:02:23:22
00:02:23:22 00:02:23:39					TO-VISIT-OR-TO-ATTEND1A*	bes{uchen}
00:02:23:39 00:02:23:44
00:02:23:44 00:02:24:05					FIRST-OF-ALL1C	erste
00:02:24:05 00:02:24:15
00:02:24:15 00:02:24:27					TO-VISIT-OR-TO-ATTEND1A*	besuch
00:02:24:27 00:02:24:44
00:02:24:44 00:02:25:00					GERMAN1	deutschland
00:02:25:00 00:02:25:14
00:02:25:14 00:02:25:36					TO-COME1^
00:02:25:36 00:02:26:02
00:02:26:02 00:02:26:17					$NAME-ANGELA-MERKEL1	merkel
00:02:26:17 00:02:26:30
00:02:26:30 00:02:27:00					TO-MEET1
00:02:27:00 00:02:27:08
00:02:27:08 00:02:27:38					TO-SPEAK2*	[MG]
00:02:27:38 00:02:27:44
00:02:27:44 00:02:28:11					PROCEEDING2*
00:02:28:11 00:02:28:16
00:02:28:16 00:02:28:18					I1	[MG]
00:02:28:18 00:02:28:23
00:02:28:23 00:02:28:29					TO-LOOK-AWAY-AND-BACK1*
00:02:28:29 00:02:28:34
00:02:28:34 00:02:28:46					INTEREST1A*	[MG]
00:02:28:46 00:02:29:03
00:02:29:03 00:02:29:16				I followed the whole thing on TV with the subtitles on. It was fascinating.
00:02:29:16 00:02:29:24					TO-SEE1	voll
00:02:29:24 00:02:29:36
00:02:29:36 00:02:29:45					FULL2A
00:02:29:45 00:02:30:06
00:02:30:06 00:02:30:21					TO-SEE1*
00:02:30:21 00:02:30:28
00:02:30:28 00:02:31:08					INTEREST1A*	[MG]
00:02:31:08 00:02:31:14
00:02:31:14 00:02:31:27					$INDEX1
00:02:31:27 00:02:31:31
00:02:31:31 00:02:32:03					SUBTITLES2*
00:02:32:03 00:02:32:05
00:02:32:05 00:02:32:24					$INDEX1
00:02:32:24 00:02:32:40				I thought that he wasn’t half bad, he was nice and friendly.
00:02:32:40 00:02:33:03					NOT6*	nicht
00:02:33:03 00:02:33:08
00:02:33:08 00:02:33:20					$INDEX1	schlecht
00:02:33:20 00:02:33:35
00:02:33:35 00:02:34:01					TOLERANT1^	[MG]
00:02:34:01 00:02:34:11
00:02:34:11 00:02:34:22					FRIENDLY4*	freu{ndlich}
00:02:34:22 00:02:34:30
00:02:34:30 00:02:35:00					$GEST^	[MG]
00:02:35:00 00:02:35:08				Then later, Obama was supposed to visit Germany again, but he was scared of the visit.
00:02:35:08 00:02:35:32					LATER4
00:02:35:32 00:02:35:37
00:02:35:37 00:02:35:44					$INDEX1*
00:02:35:44 00:02:36:14
00:02:36:14 00:02:36:24					TO-BELIEVE2B\|\|$INDEX1
00:02:36:24 00:02:36:36
00:02:36:36 00:02:37:07					ONCE-AGAIN2A*	noch mal
00:02:37:07 00:02:37:19
00:02:37:19 00:02:37:21					GERMAN1	deutsch{land}
00:02:37:21 00:02:37:34
00:02:37:34 00:02:38:05					TO-VISIT-OR-TO-ATTEND1B*
00:02:38:05 00:02:38:18
00:02:38:18 00:02:38:22					$INDEX1*
00:02:38:22 00:02:38:30
00:02:38:30 00:02:38:41					OFF2*	ab
00:02:38:41 00:02:39:04
00:02:39:04 00:02:39:26					TO-SHIVER2B^*	angst
00:02:39:26 00:02:39:34
00:02:39:34 00:02:39:37					TO-LIKE4*	möchte
00:02:39:37 00:02:39:39
00:02:39:39 00:02:39:42					NOT3B*	nicht
00:02:39:42 00:02:39:45
00:02:39:45 00:02:40:13					TO-VISIT-OR-TO-ATTEND1B*	besuchen
00:02:40:13 00:02:40:28
00:02:40:28 00:02:40:30					$INDEX1	obama
00:02:40:30 00:02:40:37
00:02:40:37 00:02:40:47					TRIP2^	angst
00:02:40:47 00:02:41:02
00:02:41:02 00:02:41:21					$INDEX1
00:02:41:21 00:02:41:28				I don’t know why.
00:02:41:28 00:02:41:42					WHY1*	warum
00:02:41:42 00:02:42:01
00:02:42:01 00:02:42:04					I1
00:02:42:04 00:02:42:10
00:02:42:10 00:02:42:16					TO-KNOW-OR-KNOWLEDGE2B*	weiß
00:02:42:16 00:02:42:25
00:02:42:25 00:02:42:38					NOT3A*	nicht
00:02:42:38 00:02:43:08
00:02:43:08 00:02:43:38				So far he has visited Germany once.
00:02:43:38 00:02:43:45					$GEST-OFF^
00:02:43:45 00:02:44:08
00:02:44:08 00:02:44:18					UNTIL-NOW1*	bis jetzt
00:02:44:18 00:02:44:21
00:02:44:21 00:02:44:27					ONCE1	ein
00:02:44:27 00:02:44:32
00:02:44:32 00:02:45:02					TO-VISIT-OR-TO-ATTEND1B*	besuch
00:02:45:02 00:02:45:13
00:02:45:13 00:02:45:15					GERMAN1*	deutschland
00:02:45:15 00:02:45:22
00:02:45:22 00:02:46:03					HERE1
00:02:46:03 00:02:46:10				I’m not sure if I think that he is doing his job well so far.
00:02:46:10 00:02:46:18					CROSS1A^
00:02:46:18 00:02:46:25
00:02:46:25 00:02:47:00					PROCEEDING1A
00:02:47:00 00:02:47:05
00:02:47:05 00:02:47:07					I1
00:02:47:07 00:02:47:17
00:02:47:17 00:02:47:21					TO-SEE1
00:02:47:21 00:02:47:28
00:02:47:28 00:02:47:35					GOOD1*	gut
00:02:47:35 00:02:47:48
00:02:47:48 00:02:48:09					ON-PERSON1*
00:02:48:09 00:02:48:16
00:02:48:16 00:02:48:17					I1	ich
00:02:48:17 00:02:48:26
00:02:48:26 00:02:48:31					TO-KNOW-OR-KNOWLEDGE2B*	weiß
00:02:48:31 00:02:48:37
00:02:48:37 00:02:48:42					NOT3A	nicht
00:02:48:42 00:02:48:43
00:02:48:43 00:02:48:49				That is still the question, isn’t it.
00:02:48:49 00:02:49:23					QUESTIONMARK2
00:02:49:23 00:02:49:34
00:02:49:34 00:02:50:17					$GEST-OFF^
00:02:50:17 00:02:50:39
00:02:50:39 00:02:52:10
00:02:52:10 00:02:57:16							Do you remember the time in ‘74 when Germany played against the GDR in a soccer match?
00:02:57:16 00:02:57:20				Unfortunately I didn’t see the match in ‘74.
00:02:57:20 00:02:57:23					$NUM-ONE-TO-TEN1A:4*	vierundsiebzig
00:02:57:23 00:02:57:29
00:02:57:29 00:02:57:41					$NUM-TENS2A:7d*
00:02:57:41 00:02:57:49
00:02:57:49 00:02:58:10					ONCE1*	nicht einmal
00:02:58:10 00:02:58:16
00:02:58:16 00:02:58:19					TO-SEE1*	sehen
00:02:58:19 00:02:58:24
00:02:58:24 00:02:58:28					I1*
00:02:58:28 00:02:58:37
00:02:58:37 00:02:58:41					$GEST-OFF^
00:02:58:41 00:02:59:00
00:02:59:00 00:02:59:10					UNFORTUNATELY2*	leider
00:02:59:10 00:02:59:16					UNFORTUNATELY2*	leider	Do you still remember what happened at the election of the Pope? When Benedict was elected? Do you still remember? You could tell her about that.
00:02:59:16 00:02:59:45
00:02:59:45 00:03:03:40
00:03:03:40 00:03:04:25				At the election of the Pope?	$ORAL^	papst
00:03:04:25 00:03:07:10
00:03:07:10 00:03:07:26
00:03:07:26 00:03:07:40				Five years ago, the new Pope was elected.
00:03:07:40 00:03:07:43					$INDEX1
00:03:07:43 00:03:08:18
00:03:08:18 00:03:08:43					POPE1*	papst
00:03:08:43 00:03:09:04
00:03:09:04 00:03:09:33					$NUM-YEAR-BEFORE-NOW1:5	fünf jahr
00:03:09:33 00:03:09:46
00:03:09:46 00:03:10:06					ELECTION2	gewählt
00:03:10:06 00:03:10:11
00:03:10:11 00:03:10:32					$INDEX1
00:03:10:32 00:03:11:09				Before the election, the people were informed about Pope John Paul’s sickness and that he was expected to die soon.
00:03:11:09 00:03:11:29					BEFOREHAND4	vor
00:03:11:29 00:03:11:48
00:03:11:48 00:03:12:06					$CUED-SPEECH	papst
00:03:12:06 00:03:12:19
00:03:12:19 00:03:12:27					$INDEX1
00:03:12:27 00:03:12:35
00:03:12:35 00:03:12:44					$ALPHA1:J	johannes paul
00:03:12:44 00:03:12:47
00:03:12:47 00:03:13:44					$INDEX1
00:03:13:44 00:03:14:12
00:03:14:12 00:03:14:24					TO-LEARN-STH1A	[MG]
00:03:14:24 00:03:14:36
00:03:14:36 00:03:15:22					PROCEEDING2*
00:03:15:22 00:03:15:28
00:03:15:28 00:03:15:41					SICK1
00:03:15:41 00:03:16:02
00:03:16:02 00:03:16:07					ALREADY1A*
00:03:16:07 00:03:16:22
00:03:16:22 00:03:17:15					TO-DIE2*
00:03:17:15 00:03:17:26				Everyone was waiting for black smoke to ascend. Then people knew that he had died.
00:03:17:26 00:03:18:06					TO-WAIT2	[MG]
00:03:18:06 00:03:18:26
00:03:18:26 00:03:18:31					IF-OR-WHEN1*
00:03:18:31 00:03:18:42
00:03:18:42 00:03:19:27					SMOKE1B*	rauch
00:03:19:27 00:03:19:37
00:03:19:37 00:03:19:46					BLACK2	schwarz
00:03:19:46 00:03:20:01
00:03:20:01 00:03:20:35					SMOKE1B*
00:03:20:35 00:03:21:04
00:03:21:04 00:03:21:15					REALLY2
00:03:21:15 00:03:21:25
00:03:21:25 00:03:23:08					TO-DIE2	[MG]
00:03:23:08 00:03:23:31
00:03:23:31 00:03:24:02					$GEST-OFF^
00:03:24:02 00:03:24:10				Then the discussion between the candidates about who would become the next pope began.
00:03:24:10 00:03:24:23					REALLY2*
00:03:24:23 00:03:24:31
00:03:24:31 00:03:24:46					THEN8	dann
00:03:24:46 00:03:25:06
00:03:25:06 00:03:25:42					TO-REPLACE1	[MG]
00:03:25:42 00:03:26:06
00:03:26:06 00:03:26:40					$ALPHA1:K	kandidat
00:03:26:40 00:03:26:49
00:03:26:49 00:03:27:21					COMPETITION1
00:03:27:21 00:03:27:29
00:03:27:29 00:03:27:41					ALL2C
00:03:27:41 00:03:27:45
00:03:27:45 00:03:28:03					WHO4*	wer
00:03:28:03 00:03:28:11
00:03:28:11 00:03:28:33					POPE1*	papst
00:03:28:33 00:03:28:40
00:03:28:40 00:03:28:49					ELECTION2	wähl
00:03:28:49 00:03:29:11
00:03:29:11 00:03:29:22					TO-GIVE2^
00:03:29:22 00:03:29:29
00:03:29:29 00:03:29:39					WHO4	wer
00:03:29:39 00:03:30:00
00:03:30:00 00:03:30:05					$GEST-TO-PONDER3^*
00:03:30:05 00:03:30:11
00:03:30:11 00:03:31:20					AMONG-EACH-OTHER3
00:03:31:20 00:03:31:42
00:03:31:42 00:03:32:03					$GEST-OFF^
00:03:32:03 00:03:32:09				Nothing was decided yet, one had to wait.
00:03:32:09 00:03:32:22					NOT-YET5	noch nicht
00:03:32:22 00:03:32:30
00:03:32:30 00:03:33:23					TO-WAIT2*
00:03:33:23 00:03:33:24
00:03:33:24 00:03:33:42				I had no clue who would be the next pope.
00:03:33:42 00:03:34:04					PERSON1*
00:03:34:04 00:03:34:12
00:03:34:12 00:03:34:18					I1
00:03:34:18 00:03:34:33
00:03:34:33 00:03:34:41					NOTION1	keine ahnung
00:03:34:41 00:03:34:49
00:03:34:49 00:03:35:05					WHO4*	wer
00:03:35:05 00:03:35:13
00:03:35:13 00:03:35:17					PERSON1
00:03:35:17 00:03:35:26
00:03:35:26 00:03:35:36					REALLY2
00:03:35:36 00:03:35:47
00:03:35:47 00:03:35:49					I2
00:03:35:49 00:03:36:01
00:03:36:01 00:03:36:06					NONE6	keine
00:03:36:06 00:03:36:19
00:03:36:19 00:03:36:25					NOTION1*	ahnung
00:03:36:25 00:03:36:33
00:03:36:33 00:03:36:40					NONE5B*
00:03:36:40 00:03:36:48
00:03:36:48 00:03:37:01					$INDEX1
00:03:37:01 00:03:37:08				One waited until white smoke ascended which meant that the new pope had been elected.
00:03:37:08 00:03:37:23					TO-WAIT-FOR1*
00:03:37:23 00:03:37:27
00:03:37:27 00:03:38:02					UNTIL1
00:03:38:02 00:03:38:13
00:03:38:13 00:03:38:34					REALLY2*
00:03:38:34 00:03:38:42
00:03:38:42 00:03:39:01					WHITE1A	weiß
00:03:39:01 00:03:39:07
00:03:39:07 00:03:40:08					SMOKE1B*	rauch
00:03:40:08 00:03:40:27
00:03:40:27 00:03:40:39					REALLY2
00:03:40:39 00:03:41:02
00:03:41:02 00:03:41:12					POPE1*	papst
00:03:41:12 00:03:41:21
00:03:41:21 00:03:41:39					TO-GIVE2^
00:03:41:39 00:03:41:49				Who was it?
00:03:41:49 00:03:42:00					I2
00:03:42:00 00:03:42:05
00:03:42:05 00:03:42:23					WHO4	wer
00:03:42:23 00:03:42:33				Look at that, it was a German! One of our own, born in Marktl.
00:03:42:33 00:03:42:45					TO-LOOK-AT3*
00:03:42:45 00:03:43:10
00:03:43:10 00:03:43:45					SELF1A*	selbst
00:03:43:45 00:03:44:00
00:03:44:00 00:03:44:05					$INDEX1
00:03:44:05 00:03:44:14
00:03:44:14 00:03:44:24					GERMAN1*	deutsch
00:03:44:24 00:03:44:36
00:03:44:36 00:03:44:48					TO-BELONG1^*
00:03:44:48 00:03:45:07
00:03:45:07 00:03:45:33					$INDEX1*
00:03:45:33 00:03:45:44
00:03:45:44 00:03:46:03					BIRTH1B	geboren
00:03:46:03 00:03:46:09
00:03:46:09 00:03:46:15					HERE1	in
00:03:46:15 00:03:46:25
00:03:46:25 00:03:47:00					$ALPHA1:M-L	marktl
00:03:47:00 00:03:47:02
00:03:47:02 00:03:47:10				When it was decided that it was him, I thought, “He’s so old already.”
00:03:47:10 00:03:47:37					SELF1A*	[MG]
00:03:47:37 00:03:47:45
00:03:47:45 00:03:48:03					REALLY2*\|\|$INDEX1
00:03:48:03 00:03:48:30					$ORAL^	aber
00:03:48:30 00:03:48:36					\|\|$INDEX1*
00:03:48:36 00:03:48:43
00:03:48:43 00:03:49:03					$GEST-OFF^
00:03:49:03 00:03:49:09
00:03:49:09 00:03:49:11					I1*
00:03:49:11 00:03:49:20
00:03:49:20 00:03:49:35					TO-SEE1	[MG]
00:03:49:35 00:03:49:44
00:03:49:44 00:03:50:07					OLD3*	alt
00:03:50:07 00:03:50:15
00:03:50:15 00:03:50:48					$GEST-OFF^
00:03:50:48 00:03:51:09				How old was he? Over 80?
00:03:51:09 00:03:51:17					OLD3*	wie alt
00:03:51:17 00:03:51:25
00:03:51:25 00:03:51:31					$GEST-OFF^
00:03:51:31 00:03:51:36
00:03:51:36 00:03:51:40					$NUM-TENS1:8d*
00:03:51:40 00:03:51:47
00:03:51:47 00:03:52:01					OVER-OR-ABOUT1*	über
00:03:52:01 00:03:52:04
00:03:52:04 00:03:52:11	Yes, over 80.
00:03:52:11 00:03:52:29					$NUM-TENS1:8d*	achtzig
00:03:52:29 00:03:52:36
00:03:52:36 00:03:52:41		OVER-OR-ABOUT1*	über
00:03:52:41 00:03:52:43		OVER-OR-ABOUT1*	über		\|\|OVER1^	[MG]
00:03:52:43 00:03:53:04
00:03:53:04 00:03:53:14		$NUM-TENS1:8d	achtzig
00:03:53:14 00:03:53:25
00:03:53:25 00:03:53:31		\|\|YES2	ja
00:03:53:31 00:03:53:33
00:03:53:33 00:03:53:41				But no one knows how long he will be pope for.
00:03:53:41 00:03:53:45					$GEST-OFF^	aber
00:03:53:45 00:03:54:00					$GEST-OFF^	aber
00:03:54:00 00:03:54:08
00:03:54:08 00:03:54:12		OVER-OR-ABOUT1*	über
00:03:54:12 00:03:54:15
00:03:54:15 00:03:54:22		$NUM-TENS1:8d*	achtzig		LONG-TIME4A^*	wie lang
00:03:54:22 00:03:54:33					LONG-TIME4A^*
00:03:54:33 00:03:54:38
00:03:54:38 00:03:54:45					$GEST-OFF^
00:03:54:45 00:03:54:49
00:03:54:49 00:03:55:01	That’s the way it works.
00:03:55:01 00:03:55:07		\|\|$GEST-OFF^*	eben
00:03:55:07 00:03:55:26		\|\|$GEST-OFF^*	eben		PATIENCE1B*\|\|$INDEX1
00:03:55:26 00:03:55:37					PATIENCE1B*\|\|$INDEX1
00:03:55:37 00:03:55:45
00:03:55:45 00:03:56:31	But, tell me, wasn’t John Paul also German?				$GEST-OFF^*
00:03:56:31 00:03:56:47		\|\|BUT1	aber
00:03:56:47 00:03:56:49
00:03:56:49 00:03:57:10
00:03:57:10 00:03:57:23		\|\|QUESTION2*	frage
00:03:57:23 00:03:57:38
00:03:57:38 00:03:58:21		\|\|TO-HIKE1^*	johannes
00:03:58:21 00:03:58:33
00:03:58:33 00:03:58:40		\|\|$CUED-SPEECH*	paul
00:03:58:40 00:03:58:44
00:03:58:44 00:03:59:04		\|\|$INDEX1
00:03:59:04 00:03:59:09
00:03:59:09 00:03:59:15		\|\|ALSO3A	auch
00:03:59:15 00:03:59:23
00:03:59:23 00:03:59:31		\|\|SELF1A*	selbst
00:03:59:31 00:03:59:42
00:03:59:42 00:04:00:01		\|\|GERMAN1*	deutsch
00:04:00:01 00:04:00:08
00:04:00:08 00:04:00:28		\|\|$INDEX-TO-SCREEN1
00:04:00:28 00:04:00:30				No, Italian.
00:04:00:30 00:04:00:47					$GEST-NM-SHAKE-HEAD1^	nein
00:04:00:47 00:04:01:15					$GEST-NM-SHAKE-HEAD1^	nein
00:04:01:15 00:04:01:41
00:04:01:41 00:04:02:00					$INDEX1
00:04:02:00 00:04:02:18
00:04:02:18 00:04:03:21					ITALY1*	italien italien
00:04:03:21 00:04:03:47
00:04:03:47 00:04:03:48
00:04:03:48 00:04:05:09							Polish.
00:04:05:09 00:04:05:13				Polish?
00:04:05:13 00:04:05:14					$ORAL^	polen
00:04:05:14 00:04:05:34	Right, he was Polish, exactly.				$ORAL^	polen
00:04:05:34 00:04:05:47		$GEST-DECLINE1^*
00:04:05:47 00:04:06:05		$GEST-DECLINE1^*
00:04:06:05 00:04:06:17
00:04:06:17 00:04:06:25		RIGHT-OR-AGREED2*	stimmt
00:04:06:25 00:04:06:37
00:04:06:37 00:04:06:42		$INDEX1*
00:04:06:42 00:04:06:49
00:04:06:49 00:04:07:01		RIGHT-OR-AGREED2	stimmt
00:04:07:01 00:04:07:14
00:04:07:14 00:04:07:32		POLAND1B	polen
00:04:07:32 00:04:07:41
00:04:07:41 00:04:07:42		\|\|YES2	ja stimmt
00:04:07:42 00:04:08:05		\|\|YES2	ja stimmt	I see.	$GEST-NM-NOD-HEAD1^
00:04:08:05 00:04:08:22
00:04:08:22 00:04:08:41		POLAND1B	polen
00:04:08:41 00:04:08:48
00:04:08:48 00:04:09:08		YES2	stimmt
00:04:09:08 00:04:09:30
00:04:09:30 00:04:09:31
00:04:09:31 00:04:09:36				I have no idea.
00:04:09:36 00:04:09:46
00:04:09:46 00:04:09:48					I2
00:04:09:48 00:04:10:01
00:04:10:01 00:04:10:02					$GEST-OFF^
00:04:10:02 00:04:10:06
00:04:10:06 00:04:10:14					NONE5A*	keine
00:04:10:14 00:04:10:23
00:04:10:23 00:04:10:27					NOTION1*	ahnung
00:04:10:27 00:04:10:38
00:04:10:38 00:04:10:41					$GEST-OFF^
00:04:10:41 00:04:10:48
00:04:10:48 00:04:12:11					$GEST-NM-NOD-HEAD1^
00:04:12:11 00:04:12:29
00:04:12:29 00:04:13:04				Oh well.	$GEST-OFF^*
00:04:13:04 00:04:13:10
00:04:13:10 00:04:21:33							The Pope was elected. Did you read about it in the papers? Or did you get to see him on his visit in Munich?
00:04:21:33 00:04:22:00				No.	$GEST-NM-SHAKE-HEAD1^
00:04:22:00 00:04:22:07
00:04:22:07 00:04:22:15					NONE3*
00:04:22:15 00:04:22:36
00:04:22:36 00:04:23:30				Last year or two years ago, a couple of deaf people from Passau decided to go to Rome in order to see Pope Benedict.
00:04:23:30 00:04:23:44					THIS2*	[MG]
00:04:23:44 00:04:24:06
00:04:24:06 00:04:24:18					POPE1*	papst
00:04:24:18 00:04:24:25
00:04:24:25 00:04:24:35					$INDEX1*
00:04:24:35 00:04:24:40
00:04:24:40 00:04:24:49					$ALPHA1:#	benedikt
00:04:24:49 00:04:25:04
00:04:25:04 00:04:26:15					THIS2*
00:04:26:15 00:04:26:27
00:04:26:27 00:04:26:48					$GEST-OFF^*	[MG]
00:04:26:48 00:04:27:03
00:04:27:03 00:04:27:17					PAST-OR-BACK-THEN1
00:04:27:17 00:04:27:32
00:04:27:32 00:04:29:07					$GEST-TO-PONDER2^*
00:04:29:07 00:04:29:14
00:04:29:14 00:04:29:45					$INDEX1
00:04:29:45 00:04:30:03
00:04:30:03 00:04:30:40					$NUM-YEAR-BEFORE-NOW1:1d	letztes
00:04:30:40 00:04:30:49
00:04:30:49 00:04:31:08					$NUM-YEAR-BEFORE-NOW1:2d	zwei
00:04:31:08 00:04:31:13
00:04:31:13 00:04:31:39					APPROXIMATELY1*	jahren
00:04:31:39 00:04:31:46
00:04:31:46 00:04:32:19					MY1*
00:04:32:19 00:04:32:34
00:04:32:34 00:04:32:46					$INDEX1	passau
00:04:32:46 00:04:33:10
00:04:33:10 00:04:33:20					DEAF-LOST-HEARING1A*
00:04:33:20 00:04:33:31
00:04:33:31 00:04:34:01					ALL2C
00:04:34:01 00:04:34:12
00:04:34:12 00:04:34:29					GROUP1A*
00:04:34:29 00:04:34:36
00:04:34:36 00:04:34:47					CONTACT2B
00:04:34:47 00:04:35:05
00:04:35:05 00:04:35:32					TO-MAKE2*	machen
00:04:35:32 00:04:36:02
00:04:36:02 00:04:36:09					TO-WANT8	will
00:04:36:09 00:04:36:29
00:04:36:29 00:04:36:31					ROME1*
00:04:36:31 00:04:36:38
00:04:36:38 00:04:37:13					AIRPLANE2A*	[MG]
00:04:37:13 00:04:37:32
00:04:37:32 00:04:38:10					ROME1	in rom
00:04:38:10 00:04:38:45
00:04:38:45 00:04:39:21				They wanted to see and meet him and wanted to see his full entourage.
00:04:39:21 00:04:39:26					TO-SEE1*
00:04:39:26 00:04:39:39
00:04:39:39 00:04:40:05					TO-MEET2B	[MG]
00:04:40:05 00:04:40:18
00:04:40:18 00:04:41:05					$PROD*
00:04:41:05 00:04:41:14
00:04:41:14 00:04:41:23				That group of deaf people went there but I didn’t have the time to join them.
00:04:41:23 00:04:41:43					MY1\|\|$INDEX1
00:04:41:43 00:04:42:01
00:04:42:01 00:04:42:06					DEAF-LOST-HEARING1A*\|\|$INDEX1
00:04:42:06 00:04:42:13
00:04:42:13 00:04:42:24					MY1\|\|$INDEX1
00:04:42:24 00:04:42:39
00:04:42:39 00:04:43:10					ALL2C
00:04:43:10 00:04:43:33					$GEST-NM-NOD-HEAD1^*
00:04:43:33 00:04:43:40
00:04:43:40 00:04:44:05					I1	[MG]
00:04:44:05 00:04:44:10
00:04:44:10 00:04:44:16					NONE3*	keine
00:04:44:16 00:04:44:18
00:04:44:18 00:04:44:34					TIME1	zeit
00:04:44:34 00:04:44:44
00:04:44:44 00:04:45:00				It was in August and I didn’t have the time.	WAS1*	war
00:04:45:00 00:04:45:03
00:04:45:03 00:04:45:05					I2
00:04:45:05 00:04:45:22
00:04:45:22 00:04:45:29					MONTH1	monat
00:04:45:29 00:04:45:34
00:04:45:34 00:04:45:40					AUGUST-$CANDIDATE-MUE56*	august
00:04:45:40 00:04:45:47
00:04:45:47 00:04:46:10					BETWEEN1D*
00:04:46:10 00:04:46:18
00:04:46:18 00:04:46:21					REASON4A
00:04:46:21 00:04:46:25
00:04:46:25 00:04:46:30					NONE3*	kein
00:04:46:30 00:04:46:32
00:04:46:32 00:04:46:36					TIME1*	zeit
00:04:46:36 00:04:46:43
00:04:46:43 00:04:47:01					I1
00:04:47:01 00:04:47:03
00:04:47:03 00:04:47:17				They went to Rome and saw the Pope walk by, but just from afar.
00:04:47:17 00:04:47:33					SHE2*	sie
00:04:47:33 00:04:47:44
00:04:47:44 00:04:48:08					PAST1^*	gewesen
00:04:48:08 00:04:48:16
00:04:48:16 00:04:48:25					$INDEX1*	in
00:04:48:25 00:04:48:31
00:04:48:31 00:04:49:01					ROME1*	rom
00:04:49:01 00:04:49:43
00:04:49:43 00:04:49:45					COINCIDENCE1*
00:04:49:45 00:04:50:13
00:04:50:13 00:04:50:42					TO-COME-PASS1*	papst
00:04:50:42 00:04:50:49
00:04:50:49 00:04:51:04					BUT1*	aber
00:04:51:04 00:04:51:29
00:04:51:29 00:04:51:45					CLOSE-BY1B	nah
00:04:51:45 00:04:52:01
00:04:52:01 00:04:52:34					NO1A	[MG]
00:04:52:34 00:04:52:36
00:04:52:36 00:04:53:15				The area was so big which is why they only saw him from afar.
00:04:53:15 00:04:53:28					MASS-OF-PEOPLE-PASSIVE2^*	[MG]
00:04:53:28 00:04:53:39
00:04:53:39 00:04:53:49					BEFORE1D^*	weit
00:04:53:49 00:04:54:14
00:04:54:14 00:04:54:44					$PROD*	klein
00:04:54:44 00:04:55:02
00:04:55:02 00:04:55:03					I1
00:04:55:03 00:04:55:11				But they saw him with their own eyes.
00:04:55:11 00:04:55:24					TO-SEE1
00:04:55:24 00:04:55:34
00:04:55:34 00:04:55:43					TO-LIVE1C	erlebt
00:04:55:43 00:04:56:00
00:04:56:00 00:04:56:08					TO-SEE1*
00:04:56:08 00:04:56:12
00:04:56:12 00:04:56:18	Right, #Name3, #Name4 and a couple of others went.
00:04:56:18 00:04:56:24					$GEST-OFF^
00:04:56:24 00:04:56:37		YES2
00:04:56:37 00:04:56:45
00:04:56:45 00:04:57:00		RIGHT-OR-AGREED2	stimmt
00:04:57:00 00:04:57:07
00:04:57:07 00:04:57:09		$INDEX1
00:04:57:09 00:04:57:19		$INDEX1		It wasn’t bad.
00:04:57:19 00:04:57:26					WAS2*	war
00:04:57:26 00:04:57:29
00:04:57:29 00:04:57:33					NOT3B*	nicht
00:04:57:33 00:04:57:37
00:04:57:37 00:04:57:43		$GEST^			BAD-OR-STALE1*	schlecht
00:04:57:43 00:04:57:45					BAD-OR-STALE1*
00:04:57:45 00:04:58:05
00:04:58:05 00:04:58:10		TO-SEE1*			$GEST-OFF^
00:04:58:10 00:04:58:29
00:04:58:29 00:04:58:43		INVOLVED1A	dabei
00:04:58:43 00:04:59:08
00:04:59:08 00:04:59:13		$NAME	??
00:04:59:13 00:04:59:25		$NAME	??
00:04:59:25 00:05:00:03
00:05:00:03 00:05:00:07		$LIST1:2of2d*
00:05:00:07 00:05:00:10
00:05:00:10 00:05:00:20				Yes, they went to Rome.
00:05:00:20 00:05:00:28		$NAME	??		$LIST1:1of1d
00:05:00:28 00:05:00:33		$NAME	??
00:05:00:33 00:05:00:38					$LIST1:2of2d*
00:05:00:38 00:05:00:40		$NAME
00:05:00:40 00:05:00:42
00:05:00:42 00:05:01:05		TO-LIST1A	[MG]
00:05:01:05 00:05:01:10
00:05:01:10 00:05:01:15					YES2\|\|$NUM-ONE-TO-TEN1A:3d
00:05:01:15 00:05:01:27					YES2\|\|$NUM-ONE-TO-TEN1A:3d
00:05:01:27 00:05:01:31		ALL1C*	alle
00:05:01:31 00:05:01:32
00:05:01:32 00:05:01:35					WAS1*
00:05:01:35 00:05:01:37
00:05:01:37 00:05:01:44		INVOLVED1A	dabei
00:05:01:44 00:05:01:48		INVOLVED1A	dabei		INVOLVED1A	dabei
00:05:01:48 00:05:02:03					INVOLVED1A
00:05:02:03 00:05:02:07
00:05:02:07 00:05:02:21		\|\|RIGHT-OR-AGREED1A*	stimmt		OUTDOORS2^
00:05:02:21 00:05:02:27					OUTDOORS2^
00:05:02:27 00:05:02:33
00:05:02:33 00:05:02:45	Right, the both of us didn’t go.
00:05:02:45 00:05:03:00
00:05:03:00 00:05:03:02		I1
00:05:03:02 00:05:03:14
00:05:03:14 00:05:03:17		YOU1
00:05:03:17 00:05:03:28
00:05:03:28 00:05:03:32		I1
00:05:03:32 00:05:03:38
00:05:03:38 00:05:03:44		NOT5*	nicht
00:05:03:44 00:05:03:48
00:05:03:48 00:05:04:10		INVOLVED1A	dabei
00:05:04:10 00:05:04:19
00:05:04:19 00:05:04:28		SELF1A*
00:05:04:28 00:05:04:34
00:05:04:34 00:05:04:38		NOT5*	nicht
00:05:04:38 00:05:04:44
00:05:04:44 00:05:05:08		INVOLVED1A	dabei
00:05:05:08 00:05:05:12
00:05:05:12 00:05:05:22		YES2*
00:05:05:22 00:05:05:38		$ORAL^	stimmt
00:05:05:38 00:05:05:39
00:05:05:39 00:05:06:10
00:05:06:10 00:05:13:30							What do you think of Benedict? About him personally? His name used to be Ratzinger and now he became the Pope Benedict. Do you like him?
00:05:13:30 00:05:13:42				What am I supposed to answer to that?
00:05:13:42 00:05:14:21					$GEST-OFF^	[MG]
00:05:14:21 00:05:15:17
00:05:15:17 00:05:15:21					WHAT1A*	was
00:05:15:21 00:05:15:32
00:05:15:32 00:05:15:37					SHALL1	soll
00:05:15:37 00:05:15:42
00:05:15:42 00:05:15:44					I1	ich
00:05:15:44 00:05:16:03
00:05:16:03 00:05:16:09					TO-SAY1	sagen
00:05:16:09 00:05:16:16
00:05:16:16 00:05:17:03					$GEST-OFF^*
00:05:17:03 00:05:17:15				I think the most important part is that we can be proud to have a German pope and that we can show that pride.
00:05:17:15 00:05:17:24					I1	aber
00:05:17:24 00:05:17:33
00:05:17:33 00:05:17:39					MAIN-POINT1A*	haupt
00:05:17:39 00:05:17:41
00:05:17:41 00:05:17:42					I1
00:05:17:42 00:05:18:04
00:05:18:04 00:05:18:09					TO-SHOW1A	zeigen
00:05:18:09 00:05:18:26
00:05:18:26 00:05:18:31					PROUD1	stolz
00:05:18:31 00:05:18:38
00:05:18:38 00:05:18:41					I1
00:05:18:41 00:05:19:08
00:05:19:08 00:05:19:16					GERMAN1	deutsch
00:05:19:16 00:05:19:28
00:05:19:28 00:05:19:41					POPE1*	papst
00:05:19:41 00:05:19:44	Yes, exactly, nothing more.
00:05:19:44 00:05:19:48		YES1A*
00:05:19:48 00:05:20:05		YES1A*
00:05:20:05 00:05:20:08
00:05:20:08 00:05:20:13					REALLY2
00:05:20:13 00:05:20:14
00:05:20:14 00:05:20:18		$GEST^
00:05:20:18 00:05:20:24
00:05:20:24 00:05:20:28					PROUD1	stolz
00:05:20:28 00:05:20:33
00:05:20:33 00:05:20:34		DONE1A*			I1
00:05:20:34 00:05:20:41		DONE1A*
00:05:20:41 00:05:20:43
00:05:20:43 00:05:20:49					TO-SHOW1A
00:05:20:49 00:05:21:04		$GEST-OFF^
00:05:21:04 00:05:21:07
00:05:21:07 00:05:21:17
00:05:21:17 00:05:21:26		MORE5*	mehr		$GEST-OFF^
00:05:21:26 00:05:21:32
00:05:21:32 00:05:21:45		NOT1*	nicht
00:05:21:45 00:05:22:21
00:05:22:21 00:05:22:32				But other than that, I don’t know if it’s going well.
00:05:22:32 00:05:22:39					OTHERWISE1*	sonst
00:05:22:39 00:05:22:47
00:05:22:47 00:05:23:02					$GEST-OFF^	[MG]
00:05:23:02 00:05:23:08
00:05:23:08 00:05:23:16					HOW-QUESTION-COMPARISON1*	wie
00:05:23:16 00:05:23:22
00:05:23:22 00:05:23:35					PROCEEDING1A*	läuft
00:05:23:35 00:05:23:43
00:05:23:43 00:05:24:00					GOOD1*	gut
00:05:24:00 00:05:24:11
00:05:24:11 00:05:24:13					I2*	ich
00:05:24:13 00:05:24:20
00:05:24:20 00:05:24:25					TO-KNOW-OR-KNOWLEDGE2B*	weiß
00:05:24:25 00:05:24:27
00:05:24:27 00:05:24:33					NOT3A*	nicht
00:05:24:33 00:05:24:37
00:05:24:37 00:05:24:45					$GEST-OFF^
00:05:24:45 00:05:25:13
00:05:25:13 00:05:28:10
00:05:28:10 00:05:36:31							Did you experience anything else? A flood, maybe? Perhaps you could talk about that for a bit.
00:05:36:31 00:05:36:46				Well.
00:05:36:46 00:05:37:01					$GEST-OFF^
00:05:37:01 00:05:37:11
00:05:37:11 00:05:37:28					$$EXTRA-LING-ACT^
00:05:37:28 00:05:37:38
00:05:37:38 00:05:37:46				So I live in Breitenberg and commute to work by bus every day.
00:05:37:46 00:05:38:07					SO1*	also
00:05:38:07 00:05:38:28
00:05:38:28 00:05:38:34					I1	ich
00:05:38:34 00:05:38:49
00:05:38:49 00:05:39:10					APARTMENT5	wohne
00:05:39:10 00:05:39:19
00:05:39:19 00:05:39:20					$INDEX1
00:05:39:20 00:05:39:26
00:05:39:26 00:05:39:32					BROAD1	breiten{bach}
00:05:39:32 00:05:39:38
00:05:39:38 00:05:39:40					$INDEX1*
00:05:39:40 00:05:39:49
00:05:39:49 00:05:40:03					$INDEX1*
00:05:40:03 00:05:40:19
00:05:40:19 00:05:40:25					BROAD1*	breiten{bach}
00:05:40:25 00:05:40:27
00:05:40:27 00:05:40:28					$INDEX1*
00:05:40:28 00:05:40:36
00:05:40:36 00:05:40:39					$INDEX1*
00:05:40:39 00:05:41:00
00:05:41:00 00:05:41:06					APARTMENT5	wohne
00:05:41:06 00:05:41:12
00:05:41:12 00:05:41:16					I1	ich
00:05:41:16 00:05:41:28
00:05:41:28 00:05:41:35					DAILY2A	täglich
00:05:41:35 00:05:42:04
00:05:42:04 00:05:42:16					BUS1A*	bus
00:05:42:16 00:05:42:27
00:05:42:27 00:05:42:32					TO-WORK2*	arbeit
00:05:42:32 00:05:42:40
00:05:42:40 00:05:43:24					BACK-AND-FORTH1
00:05:43:24 00:05:43:28
00:05:43:28 00:05:43:33				I pass Passau on the way and I have witnessed the flood a couple of times because of the commute.
00:05:43:33 00:05:43:44					\|\|$INDEX1*	passau
00:05:43:44 00:05:44:04
00:05:44:04 00:05:44:23					TO-PASS-STH1*	vorbei
00:05:44:23 00:05:44:38
00:05:44:38 00:05:45:15					BACK-AND-FORTH1
00:05:45:15 00:05:45:26
00:05:45:26 00:05:45:27					I1
00:05:45:27 00:05:45:34
00:05:45:34 00:05:46:17					TO-LOOK-AT1*
00:05:46:17 00:05:46:28
00:05:46:28 00:05:46:39					HIGH1	hochwasser
00:05:46:39 00:05:46:46
00:05:46:46 00:05:46:49					I1
00:05:46:49 00:05:47:10
00:05:47:10 00:05:47:49					VERY6	[MG]
00:05:47:49 00:05:48:02
00:05:48:02 00:05:48:14					$GEST-NM-NOD-HEAD1^
00:05:48:14 00:05:48:15
00:05:48:15 00:05:48:16				Whenever I see the flood rising again, I can’t imagine living there.
00:05:48:16 00:05:48:24					CAN1*	kann nicht
00:05:48:24 00:05:48:38
00:05:48:38 00:05:49:03					IMAGINATION1A*	vorstellen
00:05:49:03 00:05:49:11
00:05:49:11 00:05:49:15					$INDEX1
00:05:49:15 00:05:49:19
00:05:49:19 00:05:49:21					MUST1A^*
00:05:49:21 00:05:49:26
00:05:49:26 00:05:49:29					I1
00:05:49:29 00:05:49:36
00:05:49:36 00:05:49:38					APARTMENT5*	wohnen
00:05:49:38 00:05:49:44
00:05:49:44 00:05:50:02					$INDEX1
00:05:50:02 00:05:50:07
00:05:50:07 00:05:50:09					I1
00:05:50:09 00:05:50:18
00:05:50:18 00:05:50:42					CAN1*
00:05:50:42 00:05:50:48
00:05:50:48 00:05:51:01					I1*
00:05:51:01 00:05:51:14
00:05:51:14 00:05:51:25					IMAGINATION1A*	vorst{ellen}
00:05:51:25 00:05:51:31
00:05:51:31 00:05:51:47					CAN1*
00:05:51:47 00:05:52:04
00:05:52:04 00:05:52:06					I1*
00:05:52:06 00:05:52:11
00:05:52:11 00:05:52:37					TO-LOOK-AT1*
00:05:52:37 00:05:52:43
00:05:52:43 00:05:53:25					$PROD*
00:05:53:25 00:05:53:42				After all, they have three rivers joining which benefits a fast rise of the water.
00:05:53:42 00:05:54:00					BECAUSE1	weil
00:05:54:00 00:05:54:05
00:05:54:05 00:05:54:10					$INDEX1*
00:05:54:10 00:05:54:25
00:05:54:25 00:05:54:29					TO-HAVE-TO-OWN1*	hat
00:05:54:29 00:05:54:34
00:05:54:34 00:05:54:40					$NUM-ONE-TO-TEN1A:3d	drei
00:05:54:40 00:05:55:04
00:05:55:04 00:05:56:06					RIVER1*	flüsse
00:05:56:06 00:05:56:21
00:05:56:21 00:05:57:19					$PROD*	[MG]
00:05:57:19 00:05:57:28
00:05:57:28 00:05:58:04					$PROD*	[MG]
00:05:58:04 00:05:58:16
00:05:58:16 00:05:58:31					FAST3A*	schnell
00:05:58:31 00:05:58:43
00:05:58:43 00:05:59:08					$GEST-OFF^
00:05:59:08 00:05:59:13
00:05:59:13 00:05:59:23				I witness it a lot, it is interesting.
00:05:59:23 00:05:59:25					I2
00:05:59:25 00:05:59:33
00:05:59:33 00:05:59:37					OFTEN1B*	oft
00:05:59:37 00:05:59:46
00:05:59:46 00:06:00:19					TO-LOOK1*	[MG]
00:06:00:19 00:06:00:25
00:06:00:25 00:06:00:27					I1*
00:06:00:27 00:06:00:30
00:06:00:30 00:06:01:02					TO-LOOK-AT1*
00:06:01:02 00:06:01:08
00:06:01:08 00:06:01:35					INTEREST1A*
00:06:01:35 00:06:01:44
00:06:01:44 00:06:02:11					$GEST-OFF^
00:06:02:11 00:06:02:35
00:06:02:35 00:06:03:07				In the future they have to factor this in and plan for any city with a risk for floods to have higher walls built around the streets.
00:06:03:07 00:06:03:11					$INDEX1*
00:06:03:11 00:06:03:28
00:06:03:28 00:06:03:35					TO-THINK1B	muss
00:06:03:35 00:06:03:47
00:06:03:47 00:06:04:09					FUTURE2*	zukunft
00:06:04:09 00:06:04:26
00:06:04:26 00:06:04:47					PLAN2
00:06:04:47 00:06:05:30
00:06:05:30 00:06:05:43					$GEST-OFF^	beispiel
00:06:05:43 00:06:06:19
00:06:06:19 00:06:06:38					FLOODWATERS1	hochwasser
00:06:06:38 00:06:07:11
00:06:07:11 00:06:07:20					STREET2*	straße
00:06:07:20 00:06:07:29
00:06:07:29 00:06:07:45					BRIDGE4^
00:06:07:45 00:06:07:49
00:06:07:49 00:06:08:03					BIT3	bisschen
00:06:08:03 00:06:08:12
00:06:08:12 00:06:08:30					WALL3	mauer
00:06:08:30 00:06:08:43
00:06:08:43 00:06:09:05	Certainly, of course!				HIGH1*	hoch
00:06:09:05 00:06:09:12
00:06:09:12 00:06:09:17		TO-UNDERSTAND1^	freilich
00:06:09:17 00:06:09:34		TO-UNDERSTAND1^	freilich		TO-MAKE1	machen
00:06:09:34 00:06:09:43
00:06:09:43 00:06:10:01		CLEAR1B*	klar
00:06:10:01 00:06:10:04
00:06:10:04 00:06:10:23				But often they don’t realize the plans due to financial troubles.
00:06:10:23 00:06:10:34
00:06:10:34 00:06:11:02					BECAUSE-OF1	wegen
00:06:11:02 00:06:11:07
00:06:11:07 00:06:11:35					FUNDING1*	finanzen
00:06:11:35 00:06:11:42
00:06:11:42 00:06:11:46					PROBLEM2B*	problem
00:06:11:46 00:06:12:00	Because of the money.				PROBLEM2B*	problem
00:06:12:00 00:06:12:05
00:06:12:05 00:06:12:11					FUNDING1*	[MG]
00:06:12:11 00:06:12:32		\|\|MONEY1A			FUNDING1*	[MG]
00:06:12:32 00:06:12:36
00:06:12:36 00:06:12:47					DONT-ACCOMPLISH1*	schafft nicht
00:06:12:47 00:06:13:11					DONT-ACCOMPLISH1*	schafft nicht
00:06:13:11 00:06:13:21
00:06:13:21 00:06:13:33				That’s why everything stays the same and the floods come again.
00:06:13:33 00:06:13:44					TO-LET2A	[MG]
00:06:13:44 00:06:14:05
00:06:14:05 00:06:14:16					$GEST-OFF^
00:06:14:16 00:06:14:34
00:06:14:34 00:06:14:39					TO-STAY3	bleibt
00:06:14:39 00:06:14:48
00:06:14:48 00:06:15:11					FLOODWATERS1	hochwasser
00:06:15:11 00:06:15:24
00:06:15:24 00:06:16:01					ALWAYS4B*
00:06:16:01 00:06:16:07
00:06:16:07 00:06:16:13					$GEST-OFF^
00:06:16:13 00:06:16:17
00:06:16:17 00:06:16:31					$GEST-NM-NOD-HEAD1^
00:06:16:31 00:06:16:34	In Ilzstadt they built high walls.
00:06:16:34 00:06:16:45
00:06:16:45 00:06:16:49		AND2A*	und
00:06:16:49 00:06:17:15
00:06:17:15 00:06:17:27		$GEST-ATTENTION1^*
00:06:17:27 00:06:17:34
00:06:17:34 00:06:17:40		AND5*	und
00:06:17:40 00:06:18:07
00:06:18:07 00:06:18:14		$CUED-SPEECH*	ilzstadt
00:06:18:14 00:06:18:22
00:06:18:22 00:06:18:32		TO-STAND1A^
00:06:18:32 00:06:18:42
00:06:18:42 00:06:19:01		SELF1B^
00:06:19:01 00:06:19:15
00:06:19:15 00:06:19:27		HIGH3A*	hoch
00:06:19:27 00:06:19:33
00:06:19:33 00:06:19:38		BUILDING-OR-CONSTRUCTION1*	bau
00:06:19:38 00:06:20:10
00:06:20:10 00:06:20:45		HIGH2	hoch
00:06:20:45 00:06:21:04		HIGH2	hoch	Are they already done? Did they finish that?
00:06:21:04 00:06:21:14
00:06:21:14 00:06:21:22					ALREADY1B	schon
00:06:21:22 00:06:21:24	Yes, it’s all set and done. They finished roughly three or four years ago.				ALREADY1B	schon
00:06:21:24 00:06:21:30
00:06:21:30 00:06:21:34					TO-MAKE2*	gemacht
00:06:21:34 00:06:21:44		DONE1B	fertig
00:06:21:44 00:06:21:49
00:06:21:49 00:06:22:03
00:06:22:03 00:06:22:13		DONE4
00:06:22:13 00:06:22:15
00:06:22:15 00:06:22:22					DONE4	fertig
00:06:22:22 00:06:22:27		DONE1B	fer{tig}
00:06:22:27 00:06:22:28
00:06:22:28 00:06:22:39
00:06:22:39 00:06:22:48		BEFORE2	[MG]
00:06:22:48 00:06:23:00
00:06:23:00 00:06:23:08
00:06:23:08 00:06:23:11		OVER-OR-ABOUT1*
00:06:23:11 00:06:23:21
00:06:23:21 00:06:23:31		YEAR1B*	drei
00:06:23:31 00:06:23:35
00:06:23:35 00:06:23:47		YEAR1B*	vier jahre
00:06:23:47 00:06:23:49
00:06:23:49 00:06:24:12	In Innstadt though, which is opposite of Ilzstadt on the other side of the Donau, they don’t have any walls yet.
00:06:24:12 00:06:24:18		$CUED-SPEECH*	ilzstadt
00:06:24:18 00:06:24:28
00:06:24:28 00:06:24:41		TO-STAND1A^*
00:06:24:41 00:06:25:13
00:06:25:13 00:06:25:20		$CUED-SPEECH*\|\|$INDEX1	inn{en}stadt
00:06:25:20 00:06:25:30
00:06:25:30 00:06:25:43		TO-STAND1A^*
00:06:25:43 00:06:26:17
00:06:26:17 00:06:26:30		MIDDLE2A*	mitte
00:06:26:30 00:06:26:39
00:06:26:39 00:06:26:45		PARALLEL3^*	donau
00:06:26:45 00:06:27:02
00:06:27:02 00:06:27:18		NOT3B*	nicht
00:06:27:18 00:06:27:20
00:06:27:20 00:06:27:35	In Ilz/ Exactly, in Ilzstadt. They already have very high walls.
00:06:27:35 00:06:27:46		$CUED-SPEECH*\|\|$INDEX1	ilz	Ilz?
00:06:27:46 00:06:28:03
00:06:28:03 00:06:28:04		I1\|\|$INDEX1			$INDEX1	ilz
00:06:28:04 00:06:28:06					$INDEX1
00:06:28:06 00:06:28:13
00:06:28:13 00:06:28:15					$ALPHA1:Z
00:06:28:15 00:06:28:24		$INDEX1*
00:06:28:24 00:06:28:34
00:06:28:34 00:06:28:36
00:06:28:36 00:06:28:39		$CUED-SPEECH*	ilzstadt
00:06:28:39 00:06:28:43					$ALPHA2:I*	ilz
00:06:28:43 00:06:28:44
00:06:28:44 00:06:28:48
00:06:28:48 00:06:29:08					$ALPHA1:Z
00:06:29:08 00:06:29:11		TO-STAND1A^			$ALPHA1:Z
00:06:29:11 00:06:29:16
00:06:29:16 00:06:29:25					$ORAL^	gut ja
00:06:29:25 00:06:29:35					$ORAL^	gut ja
00:06:29:35 00:06:29:40
00:06:29:40 00:06:29:43		ALREADY1A	schon
00:06:29:43 00:06:29:45		ALREADY1A	schon
00:06:29:45 00:06:30:11
00:06:30:11 00:06:30:16		HIGH1*	hoch
00:06:30:16 00:06:30:23
00:06:30:23 00:06:30:28		WALL3	mauer
00:06:30:28 00:06:30:47
00:06:30:47 00:06:31:33		HIGH2	hoch
00:06:31:33 00:06:31:41
00:06:31:41 00:06:31:46	They have already had their walls up for three or four years now.
00:06:31:46 00:06:31:48		I1
00:06:31:48 00:06:32:05
00:06:32:05 00:06:32:10		$INDEX1
00:06:32:10 00:06:32:23
00:06:32:23 00:06:32:29		\|\|BEFORE2	[MG]
00:06:32:29 00:06:32:41
00:06:32:41 00:06:32:48		\|\|OVER-OR-ABOUT1
00:06:32:48 00:06:33:05
00:06:33:05 00:06:33:15		YEAR1B*	drei jahr
00:06:33:15 00:06:33:26
00:06:33:26 00:06:33:34		YEAR1B*	vier jahr
00:06:33:34 00:06:33:43
00:06:33:43 00:06:33:45		$INDEX1\|\|I1
00:06:33:45 00:06:33:49
00:06:33:49 00:06:34:07		\|\|$INDEX1*
00:06:34:07 00:06:34:30
00:06:34:30 00:06:35:02		HIGH2	hoch
00:06:35:02 00:06:35:03
00:06:35:03 00:06:35:10	They used to be shorter and get flooded a lot which is why they were built taller.
00:06:35:10 00:06:35:16		\|\|PAST-OR-BACK-THEN1	früher
00:06:35:16 00:06:35:27
00:06:35:27 00:06:35:38		LOW1B*	tief
00:06:35:38 00:06:35:39
00:06:35:39 00:06:35:46		MORE1*	mehr
00:06:35:46 00:06:36:07
00:06:36:07 00:06:36:29		FLOODING2*	überschwemmung
00:06:36:29 00:06:37:03
00:06:37:03 00:06:37:26		FLOODING2*	überschwemmung
00:06:37:26 00:06:37:35				Yes.
00:06:37:35 00:06:37:44					YES1A
00:06:37:44 00:06:37:48
00:06:37:48 00:06:38:02		NOW2*	jetzt
00:06:38:02 00:06:38:15
00:06:38:15 00:06:39:06		HIGH2	hoch
00:06:39:06 00:06:39:17
00:06:39:17 00:06:39:22		$GEST^
00:06:39:22 00:06:39:25
00:06:39:25 00:06:39:29		\|\|$GEST-OFF^*
00:06:39:29 00:06:40:20
00:06:40:20 00:06:41:10
00:06:41:10 00:06:44:09							Did you see severe damages?
00:06:44:09 00:06:44:10				The houses and walls were covered in mold.			Did you see severe damages?
00:06:44:10 00:06:44:21
00:06:44:21 00:06:44:34	The shops/
00:06:44:34 00:06:44:35					MORE1*	mehr
00:06:44:35 00:06:44:43		$GEST-OFF^			MORE1*	mehr
00:06:44:43 00:06:44:45		$GEST-OFF^
00:06:44:45 00:06:44:46
00:06:44:46 00:06:45:07					$INDEX1*
00:06:45:07 00:06:45:12		$GEST-DECLINE1^	ab{er}
00:06:45:12 00:06:45:19
00:06:45:19 00:06:45:24					$ORAL^	mehr
00:06:45:24 00:06:45:28		DEAL1	geschäfte		$ORAL^	mehr
00:06:45:28 00:06:45:32
00:06:45:32 00:06:46:09					HOUSE3*	häuser
00:06:46:09 00:06:46:16
00:06:46:16 00:06:46:36
00:06:46:36 00:06:47:01					WALL3*	mauer
00:06:47:01 00:06:47:16
00:06:47:16 00:06:47:41					FEELING3	[MG]
00:06:47:41 00:06:47:45	Apparently it hit the shops pretty hard.				FEELING3	[MG]
00:06:47:45 00:06:48:15
00:06:48:15 00:06:48:29		\|\|$GEST-DECLINE1^			PLANE2B^*	belag
00:06:48:29 00:06:48:32
00:06:48:32 00:06:48:33		$GEST-NM-NOD-HEAD1^
00:06:48:33 00:06:48:40
00:06:48:40 00:06:48:43					$INDEX1
00:06:48:43 00:06:48:47
00:06:48:47 00:06:48:49					FEELING3	wie
00:06:48:49 00:06:49:21					FEELING3	wie
00:06:49:21 00:06:49:28
00:06:49:28 00:06:49:31					$GEST-OFF^	schimmel
00:06:49:31 00:06:49:36		YES1A
00:06:49:36 00:06:49:41
00:06:49:41 00:06:49:43		$INDEX1*
00:06:49:43 00:06:49:48
00:06:49:48 00:06:50:00		DEAL1	geschäfte
00:06:50:00 00:06:50:11
00:06:50:11 00:06:50:25					SMOOTH-OR-SLICK1^
00:06:50:25 00:06:50:32
00:06:50:32 00:06:50:33					$INDEX1
00:06:50:33 00:06:50:40
00:06:50:40 00:06:50:43					UNDER1A^*
00:06:50:43 00:06:51:12
00:06:51:12 00:06:51:14		$GEST-FEAR1^	[MG]
00:06:51:14 00:06:51:28		$GEST-FEAR1^	[MG]
00:06:51:28 00:06:51:35
00:06:51:35 00:06:51:47					UNDER1A^*
00:06:51:47 00:06:52:06		DEAL1	geschäfte		UNDER1A^*
00:06:52:06 00:06:52:28		DEAL1	geschäfte
00:06:52:28 00:06:52:31
00:06:52:31 00:06:52:37	I read about it in the papers and saw on TV that mostly small shops were damaged pretty badly.
00:06:52:37 00:06:52:43		ALSO3A	auch
00:06:52:43 00:06:52:49
00:06:52:49 00:06:53:03		IF-OR-WHEN1*
00:06:53:03 00:06:53:06
00:06:53:06 00:06:53:08					UNDER1A^*
00:06:53:08 00:06:53:12		$INDEX1*
00:06:53:12 00:06:53:17
00:06:53:17 00:06:53:18
00:06:53:18 00:06:53:22		OFTEN2B*	oft
00:06:53:22 00:06:53:25		OFTEN2B*	oft		MOIST1A
00:06:53:25 00:06:53:33
00:06:53:33 00:06:53:34		I2*
00:06:53:34 00:06:53:37
00:06:53:37 00:06:53:41		NEWSPAPER1A	zeitung
00:06:53:41 00:06:53:44
00:06:53:44 00:06:53:48		$INDEX1*
00:06:53:48 00:06:54:03
00:06:54:03 00:06:54:17		VERY7*	[MG]
00:06:54:17 00:06:54:20		VERY7*	[MG]
00:06:54:20 00:06:54:31
00:06:54:31 00:06:54:41		NEWSPAPER1A*	zeitung
00:06:54:41 00:06:55:02
00:06:55:02 00:06:55:06		AND2A*	und
00:06:55:06 00:06:55:13
00:06:55:13 00:06:55:18		TELEVISION1A	fernsehen
00:06:55:18 00:06:55:24
00:06:55:24 00:06:55:28		TO-SEE1*
00:06:55:28 00:06:55:39
00:06:55:39 00:06:56:05		DEAL1	geschäft
00:06:56:05 00:06:56:22
00:06:56:22 00:06:56:44		CLOTHES2*
00:06:56:44 00:06:56:47
00:06:56:47 00:06:57:00		I1*	[MG]
00:06:57:00 00:06:57:12
00:06:57:12 00:06:57:28		VERY7*
00:06:57:28 00:06:57:29
00:06:57:29 00:06:57:37	For instance, the lottery shop in the old part of town was damaged badly.
00:06:57:37 00:06:57:41		AND2A*	und
00:06:57:41 00:06:57:45
00:06:57:45 00:06:58:28		$INDEX1	lotto
00:06:58:28 00:06:58:35
00:06:58:35 00:06:58:39		DEAL1*	geschäft
00:06:58:39 00:06:58:44
00:06:58:44 00:06:58:48		$INDEX1
00:06:58:48 00:06:59:03
00:06:59:03 00:06:59:09		WHERE1A*	wo
00:06:59:09 00:06:59:17
00:06:59:17 00:06:59:22		OLD3	alt
00:06:59:22 00:06:59:34
00:06:59:34 00:06:59:40		TO-STAND1A^	stadt
00:06:59:40 00:07:00:00
00:07:00:00 00:07:00:08		DOWN1	unten
00:07:00:08 00:07:00:44
00:07:00:44 00:07:01:03		BAD3B	schlimm
00:07:01:03 00:07:01:13
00:07:01:13 00:07:01:28	The water rose up to their window and the man cried a little. Understandably, of course.
00:07:01:28 00:07:01:37		WINDOW6	fenster
00:07:01:37 00:07:02:01
00:07:02:01 00:07:02:22		HIGH3A
00:07:02:22 00:07:02:43
00:07:02:43 00:07:03:08		MAN8	mann
00:07:03:08 00:07:03:15
00:07:03:15 00:07:03:26		BIT1B*	[MG]
00:07:03:26 00:07:03:35
00:07:03:35 00:07:03:43		TO-CRY3	weinen
00:07:03:43 00:07:04:05
00:07:04:05 00:07:04:11		MEAN-OR-BE-CALLED1B\|\|$GEST-OFF^
00:07:04:11 00:07:04:18
00:07:04:18 00:07:04:31		TO-UNDERSTAND1*
00:07:04:31 00:07:04:41
00:07:04:41 00:07:05:02	The financial damage, everything in that nice little shop was wet.
00:07:05:02 00:07:05:11		FUNDING2*
00:07:05:11 00:07:05:37
00:07:05:37 00:07:05:44		WET1A*	nass
00:07:05:44 00:07:05:49
00:07:05:49 00:07:06:10		WALL-OR-SIDE1A*
00:07:06:10 00:07:06:16
00:07:06:16 00:07:06:22		BEAUTIFUL3*	schön
00:07:06:22 00:07:06:31
00:07:06:31 00:07:07:04		DEAL1	geschäft
00:07:07:04 00:07:07:19
00:07:07:19 00:07:07:25		EVERYHTING2*	alles
00:07:07:25 00:07:07:33
00:07:07:33 00:07:07:42	And all of that even though he had prepared himself for the flood by putting up sand sacks everywhere.
00:07:07:42 00:07:07:46		AND2A*	und
00:07:07:46 00:07:08:15
00:07:08:15 00:07:08:29		PREPARATION2*	vorbereitet
00:07:08:29 00:07:08:41
00:07:08:41 00:07:08:45		ALREADY1B	schon
00:07:08:45 00:07:09:08
00:07:09:08 00:07:09:14		BEFORE2	vor
00:07:09:14 00:07:09:41
00:07:09:41 00:07:09:48		TO-WORK2*
00:07:09:48 00:07:10:09
00:07:10:09 00:07:10:22		SAND1B*	sand
00:07:10:22 00:07:10:31
00:07:10:31 00:07:10:42		SACK2	säcke
00:07:10:42 00:07:10:48
00:07:10:48 00:07:11:24		$PROD*
00:07:11:24 00:07:11:34
00:07:11:34 00:07:12:00		PREPARATION2	vorbereiten
00:07:12:00 00:07:12:14
00:07:12:14 00:07:12:31		$PROD*
00:07:12:31 00:07:12:39
00:07:12:39 00:07:13:03	And the water still went through.
00:07:13:03 00:07:13:20		NEVERTHELESS4*	trotzdem
00:07:13:20 00:07:13:40
00:07:13:40 00:07:14:46		THROUGH2B*	durch
00:07:14:46 00:07:15:11
00:07:15:11 00:07:15:15		$INDEX1
00:07:15:15 00:07:15:16
00:07:15:16 00:07:15:25	Many old people moaned and cried because they weren’t able to walk across the wooden planks well - or at all.
00:07:15:25 00:07:15:27		ALL1A	alle
00:07:15:27 00:07:15:33
00:07:15:33 00:07:15:46		PEOPLE2*	leute
00:07:15:46 00:07:16:00
00:07:16:00 00:07:16:17		TO-SUE-OR-TO-COMPLAIN2	klagen
00:07:16:17 00:07:16:28
00:07:16:28 00:07:16:31		PEOPLE2*
00:07:16:31 00:07:16:48
00:07:16:48 00:07:17:06		TO-CRY1*	weinen
00:07:17:06 00:07:17:18
00:07:17:18 00:07:17:31		EVERYWHERE1	viele
00:07:17:31 00:07:17:36
00:07:17:36 00:07:17:42		MUCH-OR-MANY1A*
00:07:17:42 00:07:18:04
00:07:18:04 00:07:18:27		PARALLEL3^*	steg
00:07:18:27 00:07:18:37
00:07:18:37 00:07:18:49		WOOD2B*	holz
00:07:18:49 00:07:19:16
00:07:19:16 00:07:19:28		PLANK1A*	steg
00:07:19:28 00:07:19:37
00:07:19:37 00:07:19:43		ALL2A*
00:07:19:43 00:07:19:49
00:07:19:49 00:07:20:04		PEOPLE2*	leute
00:07:20:04 00:07:20:09
00:07:20:09 00:07:20:22		OLD3*	alt
00:07:20:22 00:07:20:32
00:07:20:32 00:07:20:38		CAN2A*	kann nicht
00:07:20:38 00:07:21:05
00:07:21:05 00:07:21:36		$PROD*
00:07:21:36 00:07:21:48
00:07:21:48 00:07:22:03		EASY1*	einfach
00:07:22:03 00:07:22:14
00:07:22:14 00:07:22:39		PLANK1A*	steg
00:07:22:39 00:07:22:45
00:07:22:45 00:07:23:13		WOOD2B	holz
00:07:23:13 00:07:23:24
00:07:23:24 00:07:23:43		$GEST-TO-PONDER1^	[LM:ähm]
00:07:23:43 00:07:23:49
00:07:23:49 00:07:24:14	Malteser [a German aid organization] helped the people across and other employees of Malteser even carried them across.
00:07:24:14 00:07:24:46		CROSS2C^*	malteser
00:07:24:46 00:07:25:09
00:07:25:09 00:07:25:22		END1^*	helfen
00:07:25:22 00:07:25:30
00:07:25:30 00:07:25:42		TO-CARRY4*
00:07:25:42 00:07:25:46
00:07:25:46 00:07:26:02		\|\|MUCH-OR-MANY1A*	viel
00:07:26:02 00:07:26:08
00:07:26:08 00:07:26:12		$GEST^
00:07:26:12 00:07:26:22
00:07:26:22 00:07:26:28		PEOPLE2*
00:07:26:28 00:07:26:29
00:07:26:29 00:07:26:35		OLD3	alt frau
00:07:26:35 00:07:27:00
00:07:27:00 00:07:27:03		I1
00:07:27:03 00:07:27:16
00:07:27:16 00:07:27:26		SOMETIMES3*	manchmal
00:07:27:26 00:07:27:36
00:07:27:36 00:07:27:46		DIFFERENT2	ander
00:07:27:46 00:07:28:11
00:07:28:11 00:07:28:14		CROSS2C^*	malteser
00:07:28:14 00:07:28:31
00:07:28:31 00:07:29:05		TO-CARRY4*	tragen
00:07:29:05 00:07:29:10
00:07:29:10 00:07:29:14		I1	[MG]
00:07:29:14 00:07:29:23
00:07:29:23 00:07:29:24		$INDEX1*
00:07:29:24 00:07:29:37	I felt sorry for the old people.
00:07:29:37 00:07:30:10		VERY7*	[MG]
00:07:30:10 00:07:30:19
00:07:30:19 00:07:30:20		I1
00:07:30:20 00:07:30:33
00:07:30:33 00:07:31:02		TO-SUFFER1A^*	mitleid
00:07:31:02 00:07:31:12
00:07:31:12 00:07:31:16		WITH1A*	mit
00:07:31:16 00:07:31:26
00:07:31:26 00:07:31:44		TO-AGE1*	alte
00:07:31:44 00:07:32:06
00:07:32:06 00:07:32:23		PEOPLE1*	leute
00:07:32:23 00:07:32:28
00:07:32:28 00:07:32:31		$INDEX1
00:07:32:31 00:07:32:32
00:07:32:32 00:07:32:48				Then you have to imagine that once the water is gone again, the sand still remains.
00:07:32:48 00:07:33:09					AND5*	und
00:07:33:09 00:07:33:14
00:07:33:14 00:07:33:19					THEN6	dann
00:07:33:19 00:07:33:21
00:07:33:21 00:07:33:27
00:07:33:27 00:07:33:37					IMAGINATION1A*	vorstellen
00:07:33:37 00:07:33:42
00:07:33:42 00:07:33:45					IF-OR-WHEN1*	wenn
00:07:33:45 00:07:33:49
00:07:33:49 00:07:34:05					WATER3A*	wasser
00:07:34:05 00:07:34:20
00:07:34:20 00:07:35:14					$PROD*	[MG]
00:07:35:14 00:07:35:30
00:07:35:30 00:07:35:38					REMAININGS1B	rest
00:07:35:38 00:07:35:46
00:07:35:46 00:07:36:17					SAND1B*	sand
00:07:36:17 00:07:36:27
00:07:36:27 00:07:36:41					$PROD*
00:07:36:41 00:07:37:02
00:07:37:02 00:07:37:08				Everything has to be cleaned up.
00:07:37:08 00:07:37:34					TO-TIDY1*	sammeln
00:07:37:34 00:07:38:03
00:07:38:03 00:07:38:33					TO-SWEEP1A	[MG]
00:07:38:33 00:07:38:41
00:07:38:41 00:07:39:29					$PROD*
00:07:39:29 00:07:39:31
00:07:39:31 00:07:40:00				The fire department helps with the cleaning and hosing everything down.
00:07:40:00 00:07:40:06					MORE1*	mehr
00:07:40:06 00:07:40:15
00:07:40:15 00:07:40:32					FIRE-BRIGADE1*	feuerwehr
00:07:40:32 00:07:40:41
00:07:40:41 00:07:41:04					TO-HELP1	helfen
00:07:41:04 00:07:41:14
00:07:41:14 00:07:41:34					TO-TIDY1^*	sauber
00:07:41:34 00:07:41:45
00:07:41:45 00:07:42:22					$PROD*	[MG]
00:07:42:22 00:07:42:41
00:07:42:41 00:07:43:15					PROCEEDING2*
00:07:43:15 00:07:43:21				It costs a lot of money.
00:07:43:21 00:07:43:23					$INDEX1
00:07:43:23 00:07:43:42
00:07:43:42 00:07:43:48					MUCH-OR-MANY1A*	viel
00:07:43:48 00:07:44:06
00:07:44:06 00:07:44:24					TO-WORK2	arbeitskosten
00:07:44:24 00:07:44:27
00:07:44:27 00:07:44:43					TO-COST1*
00:07:44:43 00:07:45:02
00:07:45:02 00:07:45:05					$GEST-OFF^
00:07:45:05 00:07:45:18
00:07:45:18 00:07:45:48
00:07:45:48 00:07:46:09				It’s not easy.
00:07:46:09 00:07:46:17					EASY1	nicht einfach
00:07:46:17 00:07:46:22
00:07:46:22 00:07:46:25					$GEST-OFF^
00:07:46:25 00:07:46:45
00:07:46:45 00:07:47:16
00:07:47:16 00:07:47:34				That’s how it is on the earth and in life, it’s part of it.
00:07:47:34 00:07:48:15					LIKE-THIS1*	s{o} so
00:07:48:15 00:07:48:20
00:07:48:20 00:07:48:25					IS1*	ist
00:07:48:25 00:07:48:29
00:07:48:29 00:07:48:48					WORLD1	welt
00:07:48:48 00:07:49:03
00:07:49:03 00:07:49:07					LIKE-THIS1	so
00:07:49:07 00:07:49:13
00:07:49:13 00:07:49:14					TO-LIVE1C*	leben
00:07:49:14 00:07:49:28	I see. You’re right.				TO-LIVE1C*
00:07:49:28 00:07:49:31		\|\|TO-UNDERSTAND1*
00:07:49:31 00:07:49:39					$GEST-OFF^
00:07:49:39 00:07:49:45
00:07:49:45 00:07:49:47					HOW-QUESTION-COMPARISON1*
00:07:49:47 00:07:49:48
00:07:49:48 00:07:50:02
00:07:50:02 00:07:50:06					MUST1A*	muss
00:07:50:06 00:07:50:14		\|\|YES1A	stimmt		MUST1A*	muss
00:07:50:14 00:07:50:23
00:07:50:23 00:07:50:29					TO-HAVE-TO-OWN1*	haben
00:07:50:29 00:07:50:33
00:07:50:33 00:07:50:43					$GEST-OFF^
00:07:50:43 00:07:51:10	But a couple of days ago up north it was even worse.				$GEST-OFF^
00:07:51:10 00:07:51:34
00:07:51:34 00:07:51:42
00:07:51:42 00:07:52:05		BUT1*	aber
00:07:52:05 00:07:52:14
00:07:52:14 00:07:52:17		I1
00:07:52:17 00:07:52:24
00:07:52:24 00:07:52:28		TO-LOOK1	sch{au}
00:07:52:28 00:07:52:37
00:07:52:37 00:07:52:44		RIGHT-OR-AGREED2*	stimmt
00:07:52:44 00:07:53:13
00:07:53:13 00:07:53:30		WHERE1B	wo
00:07:53:30 00:07:54:02
00:07:54:02 00:07:54:16		$INDEX1
00:07:54:16 00:07:54:25
00:07:54:25 00:07:54:47		AREA1A^*	norden
00:07:54:47 00:07:55:04
00:07:55:04 00:07:55:08		TO-LOOK1*
00:07:55:08 00:07:55:16
00:07:55:16 00:07:55:30		SEVERAL1*
00:07:55:30 00:07:55:34
00:07:55:34 00:07:55:37		TO-LOOK1*
00:07:55:37 00:07:56:05
00:07:56:05 00:07:56:18		AREA1A^*	norden
00:07:56:18 00:07:56:29
00:07:56:29 00:07:56:42		BAD3D*	schlimm
00:07:56:42 00:07:57:10
00:07:57:10 00:07:57:16		MORE5*	mehr
00:07:57:16 00:07:57:21
00:07:57:21 00:07:57:24	There were a couple of casualties.
00:07:57:24 00:07:58:16		DEATH2*	tot tot tot
00:07:58:16 00:07:58:24
00:07:58:24 00:07:58:40	There weren’t any victims here in Passau.
00:07:58:40 00:07:59:07		I1\|\|$INDEX1	passau
00:07:59:07 00:07:59:16
00:07:59:16 00:07:59:27		NONE8*	[MG]
00:07:59:27 00:07:59:30
00:07:59:30 00:08:00:01		DEATH2*	tote
00:08:00:01 00:08:00:02
00:08:00:02 00:08:00:04		$INDEX1*
00:08:00:04 00:08:00:14
00:08:00:14 00:08:00:25		$INDEX1*	passau	It is protected.
00:08:00:25 00:08:00:31
00:08:00:31 00:08:00:35					PROTECTION1A*
00:08:00:35 00:08:00:38		NONE8*	[MG]		PROTECTION1A*
00:08:00:38 00:08:00:44		NONE8*	[MG]
00:08:00:44 00:08:01:10					$GEST-OFF^
00:08:01:10 00:08:01:11
00:08:01:11 00:08:01:15				Luckily the mountains give protection.
00:08:01:15 00:08:01:24	But/
00:08:01:24 00:08:02:05		$INDEX1*	aber		MOUNTAIN3*	berge berge
00:08:02:05 00:08:02:06
00:08:02:06 00:08:02:19	That’s why/
00:08:02:19 00:08:02:31		$GEST-OFF^	deswegen
00:08:02:31 00:08:02:33
00:08:02:33 00:08:02:37					$INDEX1*
00:08:02:37 00:08:02:41
00:08:02:41 00:08:02:42
00:08:02:42 00:08:03:00					PROTECTION1A	schutz
00:08:03:00 00:08:03:05	Yesterday my husband saw it on TV and yelled at me, “Come over here!“
00:08:03:05 00:08:03:11					GOOD1*	gut
00:08:03:11 00:08:03:13		$INDEX1
00:08:03:13 00:08:03:22					PROTECTION1A*	schutz
00:08:03:22 00:08:03:28
00:08:03:28 00:08:03:30
00:08:03:30 00:08:03:33					$GEST-OFF^
00:08:03:33 00:08:04:00
00:08:04:00 00:08:04:02		I2
00:08:04:02 00:08:04:15
00:08:04:15 00:08:04:16		YESTERDAY2*	gestern
00:08:04:16 00:08:04:21
00:08:04:21 00:08:04:24		TELEVISION1A	fern{sehen}
00:08:04:24 00:08:04:30
00:08:04:30 00:08:04:33		I1*
00:08:04:33 00:08:05:06
00:08:05:06 00:08:05:23		\|\|SHOULDER1B^
00:08:05:23 00:08:05:31
00:08:05:31 00:08:05:35		$GEST-OFF^
00:08:05:35 00:08:05:42
00:08:05:42 00:08:05:46		MY1	mein mann
00:08:05:46 00:08:06:05
00:08:06:05 00:08:06:21		$GEST-COME-HERE2^	komm
00:08:06:21 00:08:06:22	And once again there were many victims of the flood in the north.	I1
00:08:06:22 00:08:06:31
00:08:06:31 00:08:06:36		$INDEX1	[MG]
00:08:06:36 00:08:06:45
00:08:06:45 00:08:07:25		VERY7
00:08:07:25 00:08:07:40
00:08:07:40 00:08:07:46		MUCH-OR-MANY1A	viel
00:08:07:46 00:08:08:01
00:08:08:01 00:08:08:05		TO-DIE2	gestorben
00:08:08:05 00:08:08:11
00:08:08:11 00:08:08:21		ONCE-MORE4
00:08:08:21 00:08:08:32
00:08:08:32 00:08:08:42		DEATH2*	tot
00:08:08:42 00:08:09:04
00:08:09:04 00:08:09:15		ONCE-MORE4	schon wieder
00:08:09:15 00:08:09:30
00:08:09:30 00:08:09:39		MOST1A	meist
00:08:09:39 00:08:10:06
00:08:10:06 00:08:10:49		AREA1A^*	norden
00:08:10:49 00:08:11:41

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