LOCATION1B^

	
	1057

≙ LOCATION1B^ (31 tokens)
by transcript | by glosses | by right neighbours | by left neighbours
1584855 1584855 | 46-60m    It wasn't that far.
R				LOCATION1B^*	TO-THERE1^
L
M				aber	nicht zu weit
1250721 1250721 | 61+m    For example at a meeting, or a meeting of advisors.
R			WHEN6	LOCATION1B^*	OR4B*	CIRCLE1A^	LOCATION1B^*
L
M			wann	versammlung	oder	beraterversammlung»
1291636 1291636 | 61+m    The whole city center was destroyed.
R			I1	LOCATION1B^*	EVERYWHERE1*	TO-DESTROY1
L
M				zentrum		[MG]
1245390 1245390 | 61+m    In the auditorium, in the middle.
R		SPIKY-AT-THE-TOP2A^*	MIDDLE2A*	LOCATION1B^*	LOCATION1B^*
L
M		aula	mitte
1427810 1427810 | 18-30m    I took a couple of value packs with me.
R	$INDEX1	ADVANTAGE1	MEASURE-VERTICAL1^	LOCATION1B^*	ANYWAY1*	I1	TETRAGON3A^*
L
M		[MG]		[MG]
1430328 1430328 | 31-45f    The city I live in is close to a mine.
R	I2	APARTMENT1A*	CLOSE-BY1B*	LOCATION1B^*	$INDEX1*	$INDEX1*	$INDEX1
L
M		wohn		[MG]
1427368 1427368 | 46-60f    Then East and West Germany just remain separate.
R	$GEST-DECLINE1^*		$GEST-OFF1^	LOCATION1B^*	$GEST-OFF1^
L		$GEST-DECLINE1^*
M	bleibt so	bleibt so
2025500 2025500 | 46-60m    There weren’t many attending the ones in Potsdam and Brandenburg, though. I don’t know why.
R	BRANDENBURG1B	POTSDAM2A*	$INDEX1*	LOCATION1B^*	$GEST-OFF1^	WEAK1*	TO-VISIT-OR-TO-ATTEND2*
L
M	in brand{en}burg	potsdam			[MG]	schwach»
1430328 1430328 | 31-45f    But mainly it was Essen.
R	ESSEN-CITY1*	FIRST1A	HERE1	LOCATION1B^*
L
M	essen	zuerst
1250721 1250721 | 61+m    For example at a meeting, or a meeting of advisors.
R	LOCATION1B^*	OR4B*	CIRCLE1A^	LOCATION1B^*	$INDEX1*
L
M	versammlung	oder	beraterversammlung
1180339-16161232-16363818 1180339-… | 31-45m    No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
R	LOCATION1B^*	ANOTHER2	FORCE2B*	LOCATION1B^*	ANOTHER2	LOCATION1B^*
L
M	jacobs kaffee	nochein	kraft		nochein
1248625-15324720-15465943 1248625-… | 31-45f    They don’t sell any asparagus. It is sold in the small towns in the surrounding area, not in the city center though.
R	OUTDOORS1B^*	VILLAGE2*	OUTDOORS1B^*	LOCATION1B^*	YES1A	CENTRE1A	$INDEX1
L
M		dorf			ja	stadtzen{trum}
1184367 1184367 | 61+f    That means: if there is a theater in Munich, everyone has to go there to rehearse.
R	MUNICH1A*	TO-COME2*	TO-PRACTICE1	LOCATION1B^*
L
M	münchen	[MG]	üben
1180339-16161232-16363818 1180339-… | 31-45m    No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
R	FORCE2B*	LOCATION1B^*	ANOTHER2	LOCATION1B^*
L
M	kraft		nochein
1291892 1291892 | 31-45m    The reactor was built on the ground and moved back and forth.
R				LOCATION1B^	TO-BUILD-UP2*	TO-PUT-FROM-TO1A^*	$PROD
L
M				auf	aufbau		boden
1184756 1184756 | 31-45m    Yet, it’s also quite far away. It took us three and a half hours to get there.
R			FREIBURG1*	LOCATION1B^	FAR1*	FROM-TO3*	HOUR2B*
L
M			freiburg		[MG]		drei stunden halb»
1289793 1289793 | 18-30f    For example, rap/ hip hop is playing in one room.
R			EXAMPLE1*	LOCATION1B^	$ALPHA1:R	HIP-HOP1*
L
M			beispie{l}		ra{p}	hip-hop
1292768 1292768 | 61+m    In some city.
R		$GEST-I-DONT-KNOW1^*	$GEST-I-DONT-KNOW1^	LOCATION1B^
L
M			[MG]
1210825 1210825 | 46-60m    That’s where the centre for retraining is; it’s a huge facility for very many different jobs.
R		$INDEX1	HOUSE1A^*	LOCATION1B^	FOR1*	RETRAINING1	SCHOOL1A*
L
M		aber		zentrum	für	umschulung
1427368 1427368 | 46-60m    I opened it and saw that it said something about President Honecker.
R	ATTENTION1A^*	NEWSPAPER1B*	$INDEX1*	LOCATION1B^	THANKS1^*	$NAME-ERICH-HONECKER1A	$CUED-SPEECH:H3
L
M				staatspräsident		honecker»
1584617 1584617 | 61+f    In the first group there were deaf people trained as draftsmen for the very first time.
R	STRAIGHT-AHEAD1	$INDEX1*	$NUM-ORDINAL1:1d	LOCATION1B^	$NUM-ORDINAL1:1d	TIMES3*	DEAF1A
L
M	gerade		erste	gruppe	erste	mal
1584617 1584617 | 61+f    Only the kids spoke ill of those who belonged to the other group at times.
R	CHILD-BABY1	HALF1B	DIFFERENT2	LOCATION1B^	$INDEX1	WEIRD-STRANGE3*	CHURCH1
L
M	kind	zum teil	andere	gruppe		[MG]	kirche
1246681 1246681 | 61+m    One that’s especially big is the Hambach Castle.
R	FORTRESS2*	$CUED-SPEECH:H2	$CUED-SPEECH:H2*	LOCATION1B^
L
M	burg	ha{mbach}	hambacher	schloss
1210825 1210825 | 46-60m    That’s where the centre for retraining is; it’s a huge facility for very many different jobs.
R	FOR1*	RETRAINING1	SCHOOL1A*	LOCATION1B^	GROUP3A^*	$INDEX1	PROFESSION1A*
L
M	für	umschulung		zentrum			beru{f}
1687803-10331315-10464419 1687803-… | 46-60f    We had to wear the sign for the blind on our arms, the one with the three black dots.
R				LOCATION1B^*
L					$INDEX-ORAL1	$INDEX1	PAST-OR-BACK-THEN1*
M					??		früher
1180339-16161232-16363818 1180339-… | 31-45m    No, there is the Jacobs coffee, and there is Kraft. They are separate companies.
R			COFFEE2A	LOCATION1B^*	ANOTHER2	FORCE2B*	LOCATION1B^*
L		TO-BELONG1^*
M		jacobs kaffee			nochein	kraft
1249741 1249741 | 18-30f    A lot of roads were rebuilt in other cities; I thought it was weird.
R			DIFFERENT1*	LOCATION1B^*	CITY2*	DIFFERENT1*	WAY2B
L		OR1*
M		oder	andere		stadt	andere	weg
1245390 1245390 | 61+m    In the auditorium, in the middle.
R	SPIKY-AT-THE-TOP2A^*	MIDDLE2A*	LOCATION1B^*	LOCATION1B^*
L
M	aula	mitte
1290126 1290126 | 31-45m    And there was a deaf society and theatre groups that were strongly supported, just like that.
R	$ORAL^	SOCIETY1*		LOCATION1B^*	$ORAL^	THEATRE6*	TO-SHOW1A*
L			DEAF1A*
M	und	gesellschaft	gehörlos		und	theater
1246681 1246681 | 46-60m    There used to be a castle right where the German Catholic Church is located today.
R		WHERE1B*		LOCATION1B^*		CATHOLIC2	CHURCH2A
L	AND5*		TODAY1*		GERMAN1*
M	und	wo	heute	steht	deutsche	katholische	kirche
1246681 1246681 | 46-60m    Through the foundation of BASF, it was decided to found the city of Ludwigshafen.
R		$NAME		LOCATION1B^*			TO-FOUND2
L	THROUGH2A		MUST1A^		EXPENSIVE1^*	LUDWIGSHAFEN2*
M	durch	b-a-s-f	wurde		stadt	ludwigshafen	gegründe{t}
= VILLAGE4 (12 tokens)
Mouth: dorf
frontal 45° 90° from above
Translational equivalent: village
by transcript | by glosses | by right neighbours | by left neighbours
1976261 1976261 | 61+f    Back then, the people in that small town thought that deaf people have a lot of problems.
R			$INDEX1	VILLAGE4*	OPINION1B	DEAF1A*	$GEST^
L
M			damals	dorf	meint	gehörlos	[MG]
1246681 1246681 | 61+m    The village is quite small and good for families.
R			THE1	VILLAGE4*	$GEST-OFF1^	SMALL11	BEAUTIFUL3*
L
M			das	dorf		klein	auch schön
1182062 1182062 | 46-60f    Ah okay, in the village.
R			$ORAL^	VILLAGE4*
L
M			ach so	dorf
1429964 1429964 | 61+f    I had some experiences with that myself and knew that she should move forward in order to not be stuck in this small town forever.
R	$GEST-OFF1^	NOT3A*	TO-SIT1A^*	VILLAGE4*	$INDEX1
L
M	mal	nicht	immer	vom dorf
1246681 1246681 | 61+m    In my village, #Name1, every first Sunday/
R			MY1*	VILLAGE4	$NAME	TO-HAVE-TO-OWN1*	EVERY1B
L
M			mein	dorf	#name1	hat	jeden
1976261 1976261 | 61+f    I rode my bike around town, everything was safe there, there were no cars.
R			BICYCLE1*	VILLAGE4	DANGEROUS1D*	CAR1*	NOT1
L
M			mit fahrrad	dorf	nicht gefährlich	auto	nicht
1976261 1976261 | 61+f    That was the common mindset in that small town.
R		$GEST-OFF1^	HEARING1A	VILLAGE4
L
M			hörend	dorf
1976261 1976261 | 61+f    A friend of mine lived in a small town as well.
R	$INDEX1*	APARTMENT1B*	ALSO3A	VILLAGE4
L
M	freundin	wohnt	auch	dorf
1429964 1429964 | 61+f    She needed to socialize with other deaf people and she couldn't do that in this small town.
R	WITH1A	DEAF1A	NONE4	VILLAGE4	ALONE1C*	ALONE1A
L
M	mit	gehörlos	kein	dorf	allein
1430590 1430590 | 61+f    Around ‘46 I moved from the village back to Cologne.
R	CAN2B*		I1	VILLAGE4	$INDEX1	BACK1A
L		$INDEX1
M	kann	vorher	ich	dorf		zurück
1182062 1182062 | 46-60f    In my village.
R
L			TO-BELONG1*	VILLAGE4*	I1
M				dorf
1246681 1246681 | 46-60m    In close proximity of that well-known village there are loads of other places. It’s all in a wine-growing region.
R				VILLAGE4*	$INDEX1*	WELL-KNOWN2*	$INDEX1*
L
M				dorf	dort	kennt man
= LOCATION1B (19 tokens)
Mouth: ort
frontal 45° 90° from above
Translational equivalent: location
by transcript | by glosses | by right neighbours | by left neighbours
1432043 1432043 | 46-60m    It’s a nice place.
R			BEAUTIFUL1A*	LOCATION1B*
L
M			schön	ort
1582205 1582205 | 18-30m    For example, if someone asks me where Dresden is or some other city, then I want to know if it's in the eastern or western part of Germany.
R	LOCATION1B	$INDEX1*	WHERE1A*	LOCATION1B*	WHERE1A		OR5
L						WEST1C
M	ort		wo		wo	west	oder
1246329 1246329 | 61+m    We went to Buchenstadt near Posen.
R		TO-BRING1A^	TO-PLACE1	LOCATION1B*	TO-SAY1^	LOCATION1B	TO-SAY1^
L
M		ab	nach		heißt	ort	heißt
1289793 1289793 | 18-30f    So there is a cinema.
R	FIRST-OF-ALL1A	$INDEX1*	CINEMA2*	LOCATION1B*	$GEST-OFF1^*
L
M	da		kino
1976261 1976261 | 61+f    There were three butcheries/ bakeries and shops in that town.
R	LOCATION1A^*	IN1*	$NUM-ONE-TO-TEN1A:1d	LOCATION1B*
L
M	geschäfte	in	einem	ort
1180556 1180556 | 46-60f    In the town, later on there should be/
R			YOU1^*	LOCATION1B	ROUND3A^*	LATER3*
L
M				ort		später
1419370 1419370 | 31-45m    There was the plan to build up one somewhere around Karlsruhe, but something went wrong along the way.
R			FIRST-OF-ALL1A	LOCATION1B	SHOULD1	$INDEX1*	KARLSRUHE3*
L
M			erst		soll
1419370 1419370 | 31-45m    I think it’s sad that there is no university for deaf people in Germany, or in some European city.
R	WHATEVER3*	EUROPE1B	AN1A	LOCATION1B	FOR1	EUROPE1B	LOCATION1B
L
M	egal	europa		[MG]	für	europa
1419370 1419370 | 31-45m    I think it’s sad that there is no university for deaf people in Germany, or in some European city.
R	LOCATION1B	FOR1	EUROPE1B	LOCATION1B	WOULD-BE1	GOOD1	$GEST-OFF1^*
L
M	[MG]	für	europa		wäre	gut
1289910 1289910 | 18-30f    You can only stay in one place, since you wouldn’t really be able to travel around.
R		ONLY2B	$NUM-ONE-TO-TEN1A:1d	LOCATION1B	$PROD	YES1A*	$ORAL^
L
M		nur	ein	ort	[MG]	ja	aber
1430328 1430328 | 31-45f    The city in itself is really beautiful.
R	CITY2	AREA1A^*	GOOD1^*	LOCATION1B	BIG3A
L
M	stadt			ort	groß
1246329 1246329 | 61+m    We went to Buchenstadt near Posen.
R	TO-PLACE1	LOCATION1B*	TO-SAY1^	LOCATION1B	TO-SAY1^	TO-OPEN-BOOK1^	CITY2
L
M	nach		heißt	ort	heißt	buchenstadt
1582205 1582205 | 18-30m    For example, if someone asks me where Dresden is or some other city, then I want to know if it's in the eastern or western part of Germany.
R	QUESTION1*	EXAMPLE1*	I1*	LOCATION1B	WHATEVER5	DRESDEN1*	DIFFERENT1*
L
M	frage	zum beispiel	ort		[MG]	dresden	anderen
1181027 1181027 | 18-30f    The event location was right in the middle of Frankfurt near a huge shopping mall.
R	MIDDLE2B^	FRANKFURT1*	MIDDLE2B^*	LOCATION1B	$INDEX1	CLOSE-BY1B*	UNTIL-OR-TO1*
L
M	wo	frankfurt				[MG]
1582205 1582205 | 18-30m    For example, if someone asks me where Dresden is or some other city, then I want to know if it's in the eastern or western part of Germany.
R	WHATEVER5	DRESDEN1*	DIFFERENT1*	LOCATION1B	$INDEX1*	WHERE1A*	LOCATION1B*
L
M	[MG]	dresden	anderen	ort		wo
1687803-10331315-10464419 1687803-… | 46-60f    We were divided into groups depending on region.
R	GROUP1A*			LOCATION1B
L		MUST1*	TO-PLACE1		TO-PLACE1
M	gruppen	bestimmte	nach	ort
1687803-10331315-10464419 1687803-… | 46-60f    He had to go to another place by bike.
R		BICYCLE1		LOCATION1B*		LOCATION1B*	TO-RISE1^*
L	WITH1A*		FROM-OR-BY-OR-OF4		TOWARDS9*
M	mit	fahrrad	von	ort	zu	ort	weit
1687803-10331315-10464419 1687803-… | 46-60f    He had to go to another place by bike.
R		LOCATION1B*		LOCATION1B*	TO-RISE1^*	BICYCLE1
L	FROM-OR-BY-OR-OF4		TOWARDS9*
M	von	ort	zu	ort	weit	fahren
1246681 1246681 | 46-60m    That place has been well-known in Germany for quite a while now.
R				LOCATION1B*	ALREADY1A*
L	TO-KNOW-STH2B^*	TO-KNOW-STH-OR-SB1A	$INDEX1			LONG-TEMPORAL5*
M	deutschland	kenn		ort	schon	lang
= CITY2 (349 tokens)
Mouth: stadt
frontal 45° 90° from above
Translational equivalents: -stedt (part of place name); city; town
by transcript | by glosses | by right neighbours | by left neighbours
1290359-12323508-12444739 1290359-… | 61+f    In the city, no matter where, there should be sign language courses.
R				CITY2*	$INDEX1	AREA1A	TO-SIGN1C*
L
M				stadt			gebärden
1292458 1292458 | 18-30m    The city.
R			$INDEX2	CITY2*
L
M
1292458 1292458 | 18-30m    The city.
R			I1*	CITY2*
L
M
1292770 1292770 | 61+m    I was about six years old when my father went to Lennestadt.
R	IS1	IN1	$INDEX1*	CITY2*	$INDEX1
L
M	war	in	lennestadt
1248699 1248699 | 18-30m    I once saw on the internet or on TV — I don’t remember exactly — that one single nuclear power plant can provide a whole city with power.
R	STRONG1B	ELECTRICITY1*	TO-SPREAD3	CITY2*	EVERYWHERE1*	TO-ACCOMPLISH1B*	$PROD
L
M	stark	strom	[MG]	stadt	[MG]	schaffen	[MG]
1430592 1430592 | 61+f    I got a job at a fashion studio in Essen.
R	FASHION1B*		ESSEN-CITY1*	CITY2*	I1	TO-OBTAIN4	TO-WORK2*
L		$INDEX1
M	modeatelier		essen	stadt	weil	bekommen	arbeitsplatz»
1292458 1292458 | 18-30m    I like capital cities.
R	I2	GLADLY1	$MORPH-MAIN1A	CITY2*
L
M		gern	hauptstadt
1429124-13403249-13545507 1429124-… | 18-30m    In a city of one million people like Cologne, or how many we have now, it isn’t quite as certain that you’ll get a job.
R	CLEAR1B*	$NUM-ONE-TO-TEN1A:1d	$NUM-MILLION1	CITY2*	$GEST-TO-PONDER5^	COLOGNE2*	AREA1A^*
L
M	klar	ein{e} million		stadt	wie viel	köln
1289793 1289793 | 18-30f    I’d show her around.
R	TO-SHOW1A*	WHAT-DOES-THAT-MEAN1*	ALL1A^	CITY2*
L
M	zei{ge}	was		stadt
1184145 1184145 | 61+m    Now a flood can’t come into the city.
R	NOT-ANYMORE1A	FLOODWATERS1	INFLUENCE1^	CITY2*	INFLUENCE1^	NOT-ANYMORE1A
L
M	nicht mehr	hochwasser		stadt		nicht mehr
1289910 1289910 | 18-30f    But staying in the same place for two weeks wouldn’t be for me.
R	RIGHT-OR-CORRECT1B*	$NUM-WEEK-AFTER-NOW1:2d*	SAME5*	CITY2*
L					I1
M		zwei wochen	selbe	stadt	[MG]
1292458 1292458 | 18-30m    I/ I like a lot of cities.
R	$GEST-OFF1^*	MUCH5	TO-LIKE2	CITY2*
L
M		viel	[MG]	stadt
1433543 1433543 | 18-30m    The landscape is hilly and then there’s the edge of the Alps. Munich is just before that.
R	WALL-OR-SIDE1B*	TREE2^*	MUNICH1A*	CITY2*
L
M	wand		münchen
1292458 1292458 | 18-30m    One can walk around, go shopping, look at the old town, the culture, that’s interesting.
R	WHAT-DOES-THAT-MEAN1*	DIFFERENT1*	OLD5B	CITY2*	TO-SEE1*	WHAT-DOES-THAT-MEAN1	TO-BELONG1
L
M		[MG]	altstadt			was
1419607 1419607 | 46-60f    Actually Berlin, being the capital city, should also have a boarding school such as the school in Essen.
R	HERE1	BERLIN1A*	$MORPH-MAIN1C	CITY2*	$GEST-OFF1^	MUST1	$GEST-OFF1^
L
M		berlin	hauptstadt			muss
1289910 1289910 | 18-30f    She told me that she was in a town she liked, and so she decided to stay there for two months.
R	$INDEX1	$GEST-OFF1^*	$NUM-ORDINAL1:1*	CITY2*	$INDEX1	TO-PLEASE1	GOOD1
L
M	erzählen		ein		stadt	gefällt	gut
1428038 1428038 | 46-60m    The city is famous for acting.
R				CITY2*	MUSCLE3^	ACTOR1	$GEST-OFF1^
L
M					[MG]	schauspieler
1584855 1584855 | 46-60m    But we held our children by the hand.
R				CITY2*	WITH1A*	CHILD1*	TO-HOLD-ON3
L						$INDEX1*
M					mit	kind
1289910 1289910 | 18-30f    Different cities/
R				CITY2*	$INDEX1	$INDEX2*
L
M
1291164 1291164 | 61+f    I live in the woods, outside the city.
R				CITY2*	AREA1A^*
L
M				stadt	wald
1291243 1291243 | 31-45f    The city has to pay.
R				CITY2*	TO-PAY8B	$INDEX1
L
M				stadt	muss bezahlen
1292458 1292458 | 18-30m    You just grow up in the city.
R				CITY2*	TO-GROW-UP1A*	$GEST-OFF1^*
L
M				stadt	[MG]
1292458 1292458 | 18-30m    With older age, they have enough of the bustle of the city and find calm in the country.
R				CITY2*	TO-SWARM1	OLD5A	TO-BE-FED-UP1
L
M				stadt		alt
1210997 1210997 | 46-60m    Actually, we wanted two guided tours: one in Dachau and one in Fürstenfeldbruck, because we are the Deaf club for both towns.
R				CITY2*	TO-LEAD1A	$NUM-ONE-TO-TEN1A:2	I1
L
M				stadtführung		zwei
1210997 1210997 | 46-60m    Yes, the guided tour.
R				CITY2*	AREA1A^*
L						OUTDOORS1A^
M				stadt
1432043 1432043 | 46-60m    The serving sizes in the city are quite small, but in the villages they’re huge.
R				CITY2*	MEASURE5A^*	USUAL1	$INDEX1
L
M				stadt	[MG]	normal
1289793 1289793 | 18-30f    After getting up, we’d take a look around the city.
R				CITY2*	TO-GET-UP1	CITY2	TO-LOOK-AT4
L
M				stadt		stadt	[MG]
1432043 1432043 | 46-60m    What are you supposed to do there?
R				CITY2*	AREA1A^*	$GEST-OFF1^
L
M				stadt
1211531 1211531 | 61+f    My sister-in-law did a city tour with us.
R				CITY2*	TO-LEAD1A*	AREA1A*
L
M				stadtführung
1289910 1289910 | 18-30f    One time you could stay here and visit some cities, another time you could go somewhere by plane, you can simply alternate between the two.
R			ONCE1A*	CITY2*	TO-LET2A^*	AREA1A^*	DIFFERENT1
L
M			mal	stadt			andere
1291636 1291636 | 61+m    Whenever an alarm went off while I was in Halle (Saale), my foster mother would wake me up.
R			I1	CITY2*	HALLE-CITY1*	$INDEX1	$INDEX1
L
M			ich	stadt	halle saale
1292458 1292458 | 18-30m    I’d prefer the city, where everything is nearby and one can get everywhere fast.
R			$INDEX1	CITY2*	BETTER1*	SHORT3A*	$INDEX1
L
M				stadt	besser	[MG]
1204877 1204877 | 61+m    It was in the city, in the Lindengasse [literally: Tilia alley].
R			IN1*	CITY2*	VALUE1B^*	STREET1A*	SAME4*
L
M			in	stadt	lindenstraße		selbe
1210997 1210997 | 46-60m    Secondly, we wanted to offer a guided tour through the city.
R				CITY2*	TO-LEAD1A*	$LIST1:2of2d
L			$NUM-ONE-TO-TEN1A:2d
M				stadtführung
1249376 1249376 | 46-60m    I don’t know how many a city would need.
R			TO-KNOW-STH2B	CITY2*
L
M			weiß	stadt
1183917 1183917 | 31-45m    First, the government wanted to create drafts for the city.
R			PLAN2*	CITY2*	TECHNOLOGY1^*	SIGN-OR-DRAWING1^*
L
M				stadt	wie
1179224 1179224 | 46-60f    The city is beautiful and partly built on water, especially in the centre. It’s quite special, having all that water in the centre.
R			BEAUTIFUL1A*	CITY2*
L			AREA1A		AREA1F	WATER1	ROUND3A^*
M			schön	stadt		wasser	hamburg»
1430328 1430328 | 31-45m    But I would show you things that are close by.
R			LOCATION3^*	CITY2*	TO-TAKE-SB-OR-STH-ALONG1*		TO-LEAD1A*
L						COME-HERE1*
M			[MG]	stadt	mitnehmen	komm komm	[MG]
1292458 1292458 | 18-30m    Just look at it.”
R			TO-LOOK1*	CITY2*	SELF1A*	TO-LOOK2*
L
M				stadt		schau
1432043 1432043 | 46-60m    But the cities are dead boring.
R			BUT1*	CITY2*	TO-DIE3	TROUSERS1B
L
M			aber	stadt	tot	hose
1292458 1292458 | 18-30m    But sometimes I talk to people who come from a real big city, like Leipzig, for example.
R	TO-COME2	$CUED-SPEECH:N2	BIG3C*	CITY2*	EXAMPLE1*	LEIPZIG1A*
L
M	kommt	von	großstadt		zum beispiel	leipzig
1584198 1584198 | 31-45m    I have already notified the regional association and told them I was very shocked and affected by it.
R	MY1*	HOMELAND2*	CITY1A*	CITY2*
L
M	mein		stadt
1180339-16161232-16363818 1180339-… | 31-45m    The historic city center is really great, as well. Obviously, it is quite small.
R		$INDEX1	OLD5A	CITY2*	ALSO3A	BEAUTIFUL3*	SMALL11*
L
M			altstadt		auch	schön	klein
1180339-16161232-16363818 1180339-… | 31-45m    It is more common in rural areas, not so much in the city.
R		PARTICULARLY1A	COUNTRY3B*	CITY2*	NO1A	COUNTRY3B*	FAR-AWAY1^*
L
M		besonders	land	stadt	[MG]	land
1180339-16161232-16363818 1180339-… | 31-45m    I think Osnabrück is a very friendly town.
R		MUCH1C	FRIENDLY2*	CITY2*	FRIENDLY2*	CITY2*
L
M		viel	freundliche	stadt	freundliche	stadt
1179224 1179224 | 31-45f    If people like to, they can go to the city, but it’s not for me.
R		WHO3	THERE1*	CITY2*	NO1B
L
M		wer		stadt	[MG]
1427368 1427368 | 46-60m    It’s a nice city.
R		$INDEX1	BEAUTIFUL3	CITY2*
L
M			schön	stadt
1292458 1292458 | 18-30m    I grew up in the city.
R		TO-GROW-UP1A*	I2*	CITY2*	$GEST^
L
M		auf		stadt
1184749 1184749 | 31-45m    There's this city, Queenstown.
R		HERE1	NAME2	CITY2*	$ALPHA1:Q-U-EE-N-S-T-O-W-N	HERE1
L
M			name	stadt	queenstown
1209495-10594836-11212321 1209495-… | 18-30f    We visit more, different cities.
R		MORE1	DIFFERENCE1B	CITY2*	TO-DRIVE1*
L
M		mehr	verschieden	städte
1209495-10594836-11212321 1209495-… | 18-30f    They have to travel to different cities.
R		MUST1	DIFFERENCE1B	CITY2*	TO-BELONG1^*
L
M		muss	verschieden	städte
1413703 1413703 | 46-60m    The capital/
R		$INDEX1	$MORPH-MAIN1B	CITY2*
L
M			hauptstadt
1246681 1246681 | 61+m    The next biggest city is Speyer.
R		$LIST1:3of3d	IN-FRONT1^*	CITY2*	AWARD2^*
L
M		und dann	nächste	stadt	speyer
1249302 1249302 | 61+f    That took some time; I would’ve preferred to walk around the city.
R		LONG-TEMPORAL4A	TO-NEED1*	CITY2*	TO-LOOK-AT4^*
L
M		so lange	brauche	stadt	[MG]
1179224 1179224 | 46-60f    Wandsbek is quite a special area.
R		WANDSBEK1	PARTICULARLY1A	CITY2*
L
M		wandsbek	besonders
1292458 1292458 | 18-30m    But to me, I definitely grew up in a city.
R		I1*	REALLY2	CITY2*	TO-GROW-UP1B	I1*	$GEST-OFF1^*
L
M		aber ich		stadt	[MG]
1292458 1292458 | 18-30m    Especially when you compare it to France, we have a lot of big cities here.
R		PARTICULARLY1B	BIG7	CITY2*	MUCH1C*	PRESENT-OR-HERE1*	$INDEX1
L
M		besonders	großstadt		viel	da
1292458 1292458 | 18-30m    They have many different cities with different sizes and numbers of inhabitants.
R		VERY4*	$GEST-TO-PONDER1^*	CITY2*	WITH1A	$GEST-TO-PONDER1^*	DISTINCT1*
L
M				stadt stadt stadt	mit		verschieden
1432043 1432043 | 46-60m    Stein, do you know the city?
R		CITY1^*	TO-KNOW-STH-OR-SB1A*	CITY2*
L
M		stein	kenn	stadt
1182062 1182062 | 46-60f    I really wanted to go for one, though; I love it.
R		I1	TO-WANT1B	CITY2*	TO-STROLL1
L						TO-BE-CRAZY-ABOUT-STH1B	I1
M			will	stadt	bummel	[MG]
1583964 1583964 | 31-45f    But there wasn't anything written about it, just about other cities.
R	WHAT1A^	IT-WORKS-OUT1*	DIFFERENT1^	CITY2*		NEWSPAPER1A*
L					I2
M	[MG]			[MG]
1292458 1292458 | 18-30m    In the Ruhr area, there are a lot of cities next to one another.
R	$ALPHA1:R	TERRITORY1	MUCH5	CITY2*
L
M	ruhrgebiet		viel	stadt [MG]
1210997 1210997 | 46-60m    I attended the guided tour, as well.
R	$GEST^	CITY2	TO-DEAL-WITH2^	CITY2*			$GEST-OFF1^
L					DIRECTION3^*	I2
M		stadt			stadt
1184145 1184145 | 61+m    And therefore it’s called the city/
R	$INDEX1	$INDEX1*	TO-BE-CALLED2*	CITY2*	$GEST-TO-PONDER1^*
L
M		und das	heißt	sta{dt}
1209495-10594836-11212321 1209495-… | 18-30f    Hearing people are always in their own city and stay there.
R	HEARING1A	ONLY2B	EQUAL1A	CITY2*	AS-ALWAYS1*	$GEST-OFF1^*
L
M	hörend	nur	[MG]	stadt	[MG]
1209495-10594836-11212321 1209495-… | 18-30f    They’re always in the same city and find new faces there.
R	AMONG-EACH-OTHER3	ONLY2B	SAME2A	CITY2*	AMONG-EACH-OTHER3*	ALSO1A	NEW4A*
L
M		nur	selbe	stadt		auch	neu
1246681 1246681 | 61+m    The next well-known city is Heidelberg.
R	AND-THEN2	OUTDOORS1B^	WELL-KNOWN4	CITY2*	TRADE-OR-NEGOTIATION1^
L
M	und dann	die nächste	bekannte	stadt	heidelberg
1428472 1428472 | 61+m    Lots of new buildings were constructed back then, first a new indoor swimming pool.
R	TO-BUILD1*	ALREADY1A	$NUM-ONE-TO-TEN1A:1d	CITY2*	TO-BATH2*	HALL1B	TO-BUILD1*
L
M	neubau	schon	ein		bad{e}hall		neubau
1582654 1582654 | 18-30m    Montreal is even further to the east, and in between there’s the capital: Ottawa.
R	$ALPHA1:M*	$INDEX1*	$MORPH-MAIN4*	CITY2*	$ALPHA1:O-#-#-V-A*	$MORPH-MAIN4*	CITY2*
L
M	montreal		hauptstadt		ottawa	hauptstadt
1292458 1292458 | 18-30m    It’s called city/ rural exodus.
R	TO-SAY2A*	EXACTLY-THAT1	$INDEX1	CITY2*	COUNTRY1A*	FLIGHT1A
L
M	man sagt			s{tadt}	landflucht
1413703 1413703 | 46-60m    Before that I only went on beach holiday. I really want to travel to a city now.
R	$INDEX1	TO-CHANGE1A	ONCE1B	CITY2*	JOURNEY1B*	NO3B^
L
M			einmal	stadtreise
1180339-16161232-16363818 1180339-… | 31-45m    I think Osnabrück is a very friendly town.
R	FRIENDLY2*	CITY2*	FRIENDLY2*	CITY2*
L
M	freundliche	stadt	freundliche	stadt
1180339-16161232-16363818 1180339-… | 31-45m    There are some mountains in the North of Osnabrück, quite close to the city.
R		CLOSE-BY1B*	OSNABRÜCK1*	CITY2*	$INDEX1*
L	FROM-OR-BY-OR-OF4				LOCATION3*	MOUNTAIN3
M	von	[MG]	osnabrück		[MG]	berg
1430328 1430328 | 31-45f    It's like when you go for a walk during the holidays and you see the Christmas trees in the city.
R	HIGH1*	TALL5B	ONCE1A	CITY2*	TYPICAL1*	TO-SEE1*	TO-LOOK-AT1^*
L
M	hoch	groß	einmal	s{tadt}	typisch
1211283 1211283 | 31-45f    My dad was an auditor for the city and also for a deaf club in the north.
R	FATHER-$CANDIDATE-STU08^	MY3	PAST1^	CITY2*	$ALPHA1:R	TRAFFIC1A^*	$INDEX1
L
M	mein vater			stadtrevisor
1246329 1246329 | 61+m    Lindenfels was a spa town back then.
R	IS1*	BACK-THEN1*	CURE1	CITY2*	$GEST-OFF1^
L
M	war	damals	kurstadt
1291636 1291636 | 61+m    In an apartment building in the big city of Berlin.
R	ALL2A^*	THERE1*	BIG3C	CITY2*
L
M	miete		großstadt
1292458 1292458 | 18-30m    Germany has many cities, very many cities.
R	COUNTRY1A*	TO-HAVE-TO-OWN1*	MUCH1C*	CITY2*	VERY4	MUCH1C
L
M	deutschland	hat	viel	stadt	sehr	viel
1292458 1292458 | 18-30m    A lot of people moved from the country to a city.
R	$CUED-SPEECH:N2	COUNTRY3A*	FAR1*	CITY2*	MASS-OF-PEOPLE-ACTIVE1*
L
M	von	land	[MG]	stadt	[MG]
2935384-11295937-11502021 2935384-… | 31-45m    She asked at the city of #Name3 counseling how her son could learn sign language.
R	HOW-QUESTION2	COHERENCE3	MY1	CITY2*	$NAME	$NAME	CITY2*
L
M	wie			stadt	#name3
2935384-11295937-11502021 2935384-… | 31-45m    My connections and the signing were great, but it was, of course, different from going to school in the city.
R	TO-SIGN1A	GOOD1*	BUT1*	CITY2*	BACK-AND-FORTH1*	$ORAL^	DIFFERENT3
L
M		gut	aber	stadt	schule	b{isschen}	anders
1248862 1248862 | 18-30f    For example when I once went into the city with a deaf friend while a lot of people were out.
R	DEAF1A*	FRIEND7	I1*	CITY2*	TO-SWARM1^*
L
M		freund		stadt	[MG]
1180339-16161232-16363818 1180339-… | 31-45m    That's not too bad, but it is solely about the city, not about its surroundings.
R	WHY3B*	COUNTRY1A*	ONLY2A*	CITY2*	OSNABRÜCK1*	TO-BELONG1^
L						LOCATION3*
M	warum	land	nur	stadt	osnabrück
1249302 1249302 | 61+f    But I like and need to get to know the city, grab a bite to eat. That’s fun to me.
R	I1*	TO-LIKE4*	TO-NEED1*	CITY2*	I1*	TO-LOOK-AT4^*	TO-EAT-OR-FOOD2
L
M		m{ag}		stadt			essen
1180339-16161232-16363818 1180339-… | 31-45m    Did you know that two years ago Osnabrück was said to be Germany's friendliest city?
R	$NUM-YEAR-BEFORE-NOW1:2d*	TO-PRINT1^	FRIENDLY2*	CITY2*	OSNABRÜCK1*	CITY2	COUNTRY1A*
L
M	zwei jahr		freundlich	s{tadt}	os{nabrück}	stadt	deutschland
1292458 1292458 | 18-30m    Like moving from the city to the countryside.
R	WHAT1A*	REALLY2*	OFF-OR-TO-REMOVE-STH1C	CITY2*	GONE-VANISHED3*	COUNTRY3A*	EMPTY7*
L
M			weg	stadt	weg	land	[MG]
2025500 2025500 | 46-60m    During the GDR we had 120 members at the city of Brandenburg.
R	TIME7C*	WE3	BRANDENBURG1B	CITY2*	MEMBER1	$NUM-HUNDREDS1:1	$NUM-TENS2A:2
L
M	d-d-r-zeit		brandenburg	stadt	mitglieder	hundertzwanzig»
1205568 1205568 | 61+m    I lived in a village, a small town, and had never seen other deaf people. That’s why I was so amazed.
R	VILLAGE1	I1*	SMALL6	CITY2*	I1	AN1A	DIFFERENT2*
L
M	dorf		klein	stadt	ich	ein	ander
1432043 1432043 | 46-60m    It’s well known and has an old town.
R	OLD5A	WELL-KNOWN1A^*	OLD5A	CITY2*
L
M	a{lt} alt	beso{nders}	altstadt
1212218 1212218 | 46-60m    (Not really, but a few things in the city, mostly the Nile.)
R	TO-HIRE1A*	$INDEX1	IN1*	CITY2*	$INDEX1	MOST1A	$INDEX1
L
M		aber	[MG]			m{eistens}
1248941-12070517-12233223 1248941-… | 18-30f    Teachers have to be evenly divided up to different locations.
R	CITY2	DIFFERENT1^*	LOCATION1A^*	CITY2*	LOCATION1A^*	MUST1
L
M		woanders		stadt		muss
1582654 1582654 | 18-30m    Montreal is even further to the east, and in between there’s the capital: Ottawa.
R	CITY2*	$ALPHA1:O-#-#-V-A*	$MORPH-MAIN4*	CITY2*	$INDEX1*
L						$INDEX1	$INDEX1
M	hauptstadt	ottawa	hauptstadt		[MG]	[MG]
2935384-11295937-11502021 2935384-… | 31-45m    Are hearing people open towards deaf people and sign with them when meeting them in the city, or are they more unapproachable?
R	TO-THINK1B	CLEAR1D^	DEAF1A	CITY2*	$GEST^	CITY2*	TO-MEET2B
L
M	[MG]					stadt	[MG]»
1582205 1582205 | 18-30m    There's lots of room in eastern Germany in the cities or on the countryside for many companies.
R	MUCH1C	COUNTRY3B*	$GEST-TO-PONDER1^	CITY2*	COUNTRY3B*	FREE1*	MUCH1C
L
M	viel	land		stadt	land	frei frei	viel
1179224 1179224 | 46-60f    Many young families like to live in Hamburg, in the city.
R	GLADLY1*	IN1*	HAMBURG1*	CITY2*	APARTMENT7*	FAMILY1
L
M	gern	in	hamburg	stadt	wohnen	familie
1431676 1431676 | 46-60m    I quit my job at the club and moved several times.
R	TO-WORK2*	I1	DIFFERENT2	CITY2*	LOCATION3^*
L
M			an{dere}	stadt	[MG]
2935384-11295937-11502021 2935384-… | 31-45m    She asked at the city of #Name3 counseling how her son could learn sign language.
R	CITY2*	$NAME	$NAME	CITY2*	ADVICE1	$INDEX1*	MY1
L
M	stadt	#name3			[MG]		mein
1291243 1291243 | 31-45f    The White Ring isn’t municipal.
R	RING1	$INDEX1*	FROM-OR-BY-OR-OF2	CITY2*	NO1B
L
M	ring		von	stadt	[MG]
2935384-11295937-11502021 2935384-… | 31-45m    Are hearing people open towards deaf people and sign with them when meeting them in the city, or are they more unapproachable?
R	DEAF1A	CITY2*	$GEST^	CITY2*	TO-MEET2B	TO-SIGN1E	OR5
L
M	[MG]			stadt	[MG]		oder
1292458 1292458 | 18-30m    If one were to take Dusseldorf and include all the surrounding cities, it would be a big city, too.
R	TOGETHER1A*	BECAUSE1	BIG3A	CITY2*	$GEST-OFF1^*
L
M	zusammen	weil	großstadt
1184756 1184756 | 31-45m    I’ve been to London eight times now. I just love the city.
R	I1	LOVE1C	LONDON1*	CITY2*
L
M	ich	[MG]	london	stadt
1180254 1180254 | 31-45m    Yes, right, that’s what it is for deaf people.
R	YOU1	GOOD1*	YOU1*	CITY2*
L
M	du		st{adt}
1430328 1430328 | 31-45f    I live directly in the city but also close to the city boundary.
R				CITY2	AREA1A^*	BORDER1A	ALSO3A
L
M						grenze	auch
1289868 1289868 | 18-30f    There I went to a boarding school, again, though it was just from Monday to Saturday.
R				CITY2	TO-MOVE1*	ALSO3A	ONCE-MORE2B*
L
M				stadt		auch	wieder
1181455 1181455 | 61+f    In the center, yes!
R				CITY2	MIDDLE2A
L
M				stadtmitte
1180339-16161232-16363818 1180339-… | 31-45m    The city of Bremen invites international performers who then present their acts.
R				CITY2	PEOPLE2	CURTAIN2^	INTERNATIONAL1*
L
M				stadt		zirkus	international
1180339-16161232-16363818 1180339-… | 31-45m    Even though Osnabrück and Bremen are quite close to each other, architecture and style differ quite a bit.
R				CITY2	DIFFERENT1*	SHAPE1A*	STYLE2*
L
M				stadt	a{nders}	form	stil
1292458 1292458 | 18-30m    City, country, city, country, city, country.
R				CITY2	COUNTRY3A*	CITY2	COUNTRY3A*
L
M				stadt	land	stadt	land
1182062 1182062 | 46-60f    I went downtown and was baffled.
R				CITY2	TO-GO-THERE1*	I1	CONTRADICTION1A^
L
M				stadt			[MG]
1413451-11105600-11163240 1413451-… | 18-30m    Nothing like that happened in Halberstadt.
R			HALF1A	CITY2	NOTHING1B
L
M			halberstadt
1248862 1248862 | 18-30f    Or in the city.
R			OR4B	CITY2
L
M			oder	stadt
1180339-16161232-16363818 1180339-… | 31-45m    It takes place in the middle of the town, on one of the bigger streets.
R			BIG3A	CITY2	MIDDLE2A	BIG3A	STREET1A
L
M			groß	stadtmitte		große	straße
1427368 1427368 | 46-60m    The residents wanted the houses to be put under preservation orders.
R			$INDEX1	CITY2	$INDEX1	TO-WISH4*	$INDEX1
L
M			warum	stadtbewohner		wünschen
1429709-16344227-16451821 1429709-… | 46-60f    They found one downtown.
R			TO-FIND1C*	CITY2	MIDDLE2B
L
M			gefund	stadtmitte
1430328 1430328 | 31-45f    The city in itself is really beautiful.
R			AND2A	CITY2	AREA1A^*	GOOD1^*	LOCATION1B
L
M			und	stadt			ort
1430328 1430328 | 31-45f    In Düsseldorf the historical part is right next to the Rhine.
R			OLD8B	CITY2	ALSO3A*	RHINE-RIVER1*	CLOSE-BY1B*
L
M			altstadt		auch	rhein
1430328 1430328 | 31-45f    We also went to Herne.
R			DIFFERENT2	CITY2	ALSO3A	HERNE1B
L
M			and{ere}	stadt	auch	herne
1431224 1431224 | 31-45m    Los Angeles is a city but as big as North Rhine-Westphalia!
R			$ALPHA1:L-A*	CITY2	LIKE3A	$ALPHA1:N	$ALPHA1:N-R
L
M			los angeles	stadt	wie	n	n-r-w»
1292458 1292458 | 18-30m    It’s a big city, Iserlohn is rather small.
R			BIG3B	CITY2	$ALPHA1:I	LITTLE-BIT2*	$GEST^
L
M			groß	stadt	iserlohn	[MG]
1292458 1292458 | 18-30m    If one is used to the city, one stays there.
R			$GEST-OFF1^*	CITY2	HABIT1	TO-STAY2*
L
M			warum	stadt	gewöhnt	bleibt
1210763 1210763 | 18-30m    Were you only in the city center and partied all the time?
R			ONLY2B	CITY2	$INDEX2*	PARTY1B*	CITY2
L
M			nur	stadt		partystadt
1210997 1210997 | 46-60m    Ah right, I forgot about the guided tour.
R			$GEST-ATTENTION1^	CITY2	TO-LEAD1A*	$GEST^
L
M				stadtführung
1210997 1210997 | 46-60m    I attended the guided tour, as well.
R			$GEST^	CITY2	TO-DEAL-WITH2^	CITY2*
L							DIRECTION3^*
M				stadt			stadt
1184145 1184145 | 61+m    World city of porcelain.
R			WORLD1	CITY2	$ALPHA1:R	CHINAWARE1B	$GEST-OFF1^
L
M			weltstadt		der	porzellan
1184756 1184756 | 31-45m    It’s a beautiful city.
R			BEAUTIFUL1A	CITY2	GOOD3*
L
M			schöne	stadt
1432043 1432043 | 46-60m    Glückstadt is famous for matie.
R			LUCK1	CITY2	ALSO3A	$PROD	$PROD
L
M			glückstadt		auch	matjes	[MG]
1432043 1432043 | 46-60m    Glückstadt as well.
R			LUCK1	CITY2	ALSO3A
L
M			glückstadt		auch
1181455 1181455 | 61+f    Old town and new town.
R			OLD1	CITY2	$GEST-OFF1^	NEW1A	CITY2
L
M			altstadt			neustadt
1181455 1181455 | 61+f    In the center, it is, but not in the suburbs.
R			$INDEX1	CITY2	MIDDLE2A	CITY2	OUTDOORS1A*
L
M				stadtmitte		stadt	aber außen
1413703 1413703 | 46-60m    Where will you be going, which city?
R			WHERE1A	CITY2	TO-DRIVE3	WHERE1A*	$INDEX1
L
M			wo
1419931 1419931 | 31-45f    It’s the capital, of course.
R			$MORPH-MAIN1A	CITY2	CLEAR1B
L
M			hauptstadt		klar
1419931 1419931 | 31-45f    Contrary to the city, you can go swimming in Sicily, it has cultural and historical things to discover; it just has everything.
R			HERE1*	CITY2	$INDEX1*	$INDEX1	SICILY2
L
M				stadt			sizil{ien}»
1419931 1419931 | 31-45f    Because Berlin is Germany’s capital.
R			$MORPH-MAIN1A	CITY2	$GEST-OFF1^
L
M			hauptstadt
1212218 1212218 | 46-60m    It’s just like in the city of Luxor, which is near-by. They have buildings made of stone, too.
R			$INDEX1	CITY2	$ALPHA1:L-U-X*	$INDEX1	CLOSE-BY1B*
L
M			[MG] wie	stadt	luxor
1249376 1249376 | 46-60m    Not for a whole city.
R			NOT3A	CITY2
L
M			nicht	stadt
1180339-16161232-16363818 1180339-… | 31-45m    Like any other city, Bremen holds various exhibitions on the historic city center, or on local history, such as the “Roland” [a statue in the market square of Bremen].
R			EVERYONE1B*	CITY2	MUSEUM1*	OLD5B	CITY2
L
M			jede	stadt	museum	altstadt
1180339-16161232-16363818 1180339-… | 31-45m    It’s supposed to be the friendliest city.
R			FRIENDLY2*	CITY2	AREA1A^*
L
M			freundlich	stadt	deutschland
1431222 1431222 | 31-45f    I rather went out to see different parts of the city.
R			MORE1	CITY2	EVERYTHING2	TO-VISIT1	$GEST^
L
M			mehr	stadt	alles	[MG]
1431690 1431690 | 46-60m    To be more specific in the Old Town, a little off the river Rhine.
R			OLD3	CITY2	$INDEX1*	RHINE-RIVER1	NEXT-TO1A*
L
M			altstadt			rhein
1290126 1290126 | 31-45m    Yes, in some of the cities.
R			BIG3B	CITY2	LOCATION1A*
L
M			großstadt		[MG]
1292458 1292458 | 18-30m    Hey you, city and country doesn’t only refer to where we live, but also, more generally, to everything that’s a part of that.
R			$GEST-ATTENTION1^	CITY2	COUNTRY3A*	MEANING1*	ONLY2B
L
M				stadt	land	bedeutet	nicht nur
1433543 1433543 | 18-30m    That’s just a normal city run.
R			TO-RUN1*	CITY2	TO-RUN1*	$GEST-OFF1^*
L
M			s{tadt}	stadtlauf
1182062 1182062 | 46-60f    I think it’s okay.
R			HOBBY1	CITY2	TO-STROLL1
L						BIT1B*
M			hobby	stadtbummeln		bisschen
1182062 1182062 | 46-60f    The shops open early, so you can go shopping then?
R			EARLY5	CITY2	TO-STROLL1
L
M			früh	stadt	bummeln
1182062 1182062 | 46-60f    The old town is really beautiful.
R				CITY2	AREA1A^	BEAUTIFUL1A
L			OLD8A
M			altstadt			schön
1182062 1182062 | 46-60f    Really? There are still streetcars in the old part of town?
R			OLD8A*	CITY2	STILL1A*	BACK-AND-FORTH1^*
L
M			altstadt		noch	straßenbahn
1182062 1182062 | 46-60f    It's a big city.
R			BIG3B	CITY2
L
M			groß	stadt
1244978 1244978 | 31-45m    They got bored and so they always went to the city, which we didn't use to do back in the days.
R		I1	TO-GROW-UP1A	CITY2	$INDEX1*	TO-KNOW-STH-OR-SB1B*	$GEST^
L	PAST-OR-BACK-THEN1
M	früher			stadt		kenne nicht
1292458 1292458 | 18-30m    And Tokyo, yes, that’s a small city.
R	$ALPHA1:T	$INDEX1	$GEST-TO-PONDER1^	CITY2
L			$INDEX1
M
1413703 1413703 | 46-60m    There is a clothes store in the capital of Tunisia, no, in the second largest city - Sousse - that is run by a deaf person.
R	CITY2	ATTENTION1A^	$NUM-ORDINAL1:2*	CITY2	DOWN5*	$ALPHA1:#-O-#-E
L							$INDEX1
M	hauptstadt		zweite	stadt		sousse
1244796 1244796 | 31-45m    The sign language teachers heatedly discussed different signs for countries and cities.
R	OVER-OR-ABOUT1	COUNTRY3A*	AND2A	CITY2	TO-SIGN1A	HOW-QUESTION2*	$GEST-NM-NOD-HEAD1^
L
M	über	land	und	stadt		wie wie wie
1184145 1184145 | 61+m    Well, I often take deaf people for a guided city tour.
R	MESSAGE-OR-NOTIFICATION1*	I2	TO-LEAD1A*	CITY2	TO-LEAD3A
L
M	melden		stadtführung
1427368 1427368 | 46-60m    About one year after the fall of the Berlin Wall I went to visit the City of Meiningen by car.
R	TO-VISIT-OR-TO-ATTEND2*	TO-VISIT-OR-TO-ATTEND1A	WHERE1A	CITY2	IN1	$CUED-SPEECH:N2	$CUED-SPEECH:I2
L
M	besuchen		wo	stadt	in		meiningen»
1180339-16161232-16363818 1180339-… | 31-45m    First of all, a guided tour through the city center where the ‘Bremer Roland’, the cathedral, and ‘The Town Musicians of Bremen’ are located.
R	$INDEX1*	$LIST1:2of2d	$LIST1:3of3d	CITY2	MUSIC1*
L
M				stadtmusikanten
1249951 1249951 | 31-45f    When taking a break, I would send a message from my phone to let them know that everything was all right, and which city I was passing at the time.
R	I1	HERE1	WHERE1A	CITY2	WHERE1A	I2
L
M	ich	hier	wo	stadt	wo wo
1180339-16161232-16363818 1180339-… | 31-45m    Bremen does not have a lot of countryside, but it still is a beautiful city.
R	NOT1	BUT1*	BEAUTIFUL1A	CITY2
L
M	[MG]	ab{er}	schön	stadt
1180339-16161232-16363818 1180339-… | 31-45m    Right, Hachez is a chocolate company here in Bremen. It is located in the new town.
R	$ALPHA1:H	$INDEX1	NEW1A	CITY2
L	$PROD
M	hachez		neustadt
1289868 1289868 | 18-30f    I went to school growing up, went back home for about three or four years, and then I moved to a city.
R	DONE2*	THEN1A	I1	CITY2	TO-MOVE1*
L
M		dann		stadt
1211075 1211075 | 46-60f    We got dressed and visited an anniversary celebration in the old town, sorry, I meant to say Albstadt.
R	WRINKLE-CHEEK1A^*	$GEST-DECLINE1^*	MOUNTAIN1A^	CITY2	TO-GO-THERE2*
L
M	alb		albstadt
1289910 1289910 | 18-30f    There’s forest, you can go hiking, there’s jungle and the Aborigines, the indigenous people, you can go for city trips or see the landscapes - there’s so much to see.
R	$GEST-OFF1^	OUTDOORS1A^	$INDEX1	CITY2	LOCATION1A^*	PLANE3A^*	MUCH1C*
L
M			[MG]	stadt			zu viel
1212218 1212218 | 46-60m    I, for instance, went to the capital of the Romans before heading to Egypt.
R	AREA1A^	$INDEX1*	ROME1*	CITY2	$GEST-OFF1^
L
M	römer	[MG]	römische	stadt
1413451-11105600-11163240 1413451-… | 18-30m    I played with the hearing children; I cannot remember seeing any differences between the hearing and the deaf children until I went to a kindergarten in Halberstadt.
R	I1	$INDEX1*	HALF1B	CITY2	KINDERGARTEN1A*	TO-JOIN1*
L
M			halberstadt
1413451-11105600-11163240 1413451-… | 18-30m    No one taught me a thing in Halberstadt.
R		I1	HALF1B	CITY2	TO-TEACH-SB-STH1*	NONE7B	TO-TEACH-SB-STH1*
L
M			halberstadt			[MG]
1419607 1419607 | 46-60f    Berlin is big, it is the capital city, there has to be an institution like that.
R		BERLIN1A*	BIG3B	CITY2	MUST1*	TO-HAVE-TO-OWN1*	$GEST^
L
M		berlin	groß	haupt	muss	haben
1245462 1245462 | 18-30m    I want to see everything without a penny in my pocket and think of a way to live on the way.
R			DONE2*	CITY2	$ALPHA1:B-U-M-E-L-N	QUOTATION-MARKS1^*	MONEY1C*
L		ALL1A
M		all{e}	fer{tig}	stadt	bummeln
1179224 1179224 | 31-45f    That makes the city really nice.
R		SURROUNDING1A*	BEAUTIFUL1A	CITY2
L
M			schön	stadt
1429709-16344227-16451821 1429709-… | 46-60f    We drove all the way across the city, on and on.
R		I1*	DIRECTION1	CITY2	TO-MEANDER1^	DIRECTION1^*	TO-MEANDER1^
L
M				stadtmitte		[MG]	[MG]
1429709-16344227-16451821 1429709-… | 46-60f    The airport was huge; we were in the capital city after all.
R		BIG9	MAIN-POINT1A	CITY2
L
M		groß	haupt	[MG]
1430328 1430328 | 31-45f    When the city was made cultural capital there were a lot of events for a whole year.
R		I2*	I2*	CITY2	$INDEX1*	CULTURE1A*	$INDEX1
L
M				stadt	auch	kultur
1430328 1430328 | 31-45f    Then I would show you the city.
R		AND2A	OUTDOORS1A^*	CITY2	LIKE-HOW1A*	CITY2	$PROD
L
M		und		stadt	wie	stadt
1430328 1430328 | 31-45f    Three Days later we went to Essen together.
R		DAY2*	ESSEN-CITY1*	CITY2
L
M		drei ta{ge}	es{sen}	s{tadt}
1584545 1584545 | 18-30f    I also do not live directly in the center of the city, but in a little town outside of the city.
R		DRESDEN2B	$INDEX1	CITY2	AREA1A
L						I2	NO1A
M		dresden		stadt
1209006 1209006 | 18-30m    They where from different cities, for example from Hamburg, Berlin, Munich and, um.
R		GROUP1A*	DISTINCT1*	CITY2	HIS-HER1*	EXAMPLE1*	HAMBURG1*
L
M			versch{ieden}	stadt		beisp{iel}	hamburg»
1184145 1184145 | 61+m    It is just Selb, the city of porcelain.
R		$GEST^	CHINAWARE1C*	CITY2	$ALPHA1:S*	$GEST^
L
M			porzellanstadt		selb
1184756 1184756 | 31-45m    Freiburg is a beautiful city.
R		BEAUTIFUL1A*	FREIBURG1*	CITY2	BEAUTIFUL1A
L
M		freiburg		stadt	schön
1184756 1184756 | 31-45m    Freiburg is surrounded by a beautiful landscape.
R		IN1	FREIBURG1	CITY2	BEAUTIFUL1A*	LANDSCAPE1*	$INDEX1
L
M			freiburg	stadt	schön
1432043 1432043 | 46-60m    And Lübeck’s old town, right?
R		OLD5A	TIME9*	CITY2	LÜBECK1A	$INDEX1
L
M		alt	zeit	stadt	lübeck
1432043 1432043 | 46-60m    Down in Glückstadt.
R		DOWN1	LUCK1*	CITY2
L
M		unten	glückstadt
1181455 1181455 | 61+f    Yes, but capital of what?
R		$INDEX-ORAL1	$MORPH-MAIN1A	CITY2	$GEST-DECLINE1^*	AREA1A^
L
M		ja	hauptstadt		von
1419607 1419607 | 61+m    A lot of deaf people go to school in Halberstadt.
R		SCHOOL3*	HALF1A	CITY2		DEAF1A	MASS-OF-PEOPLE-ACTIVE1^
L					$INDEX1
M		schule	halberstadt			gehörlos
1419931 1419931 | 31-45f    That’s why I couldn’t imagine living anywhere else.
R		THEREFORE1	DIFFERENT2	CITY2	IMAGINATION1A	I1	CAN1*
L
M		darum	andere	stadt	vorstelle	[MG]
1419931 1419931 | 31-45f    Palermo is a city, as well, but it’s near the sea.
R		$INDEX1	ALSO3A*	CITY2	HOWEVER2	CLOSE-BY1B*	OCEAN1A*
L
M			auch	stadt	doch	nah	meer
2025500 2025500 | 31-45f    You mean at the city of Brandenburg?
R		$GEST-ATTENTION1^	LOCATION1A^*	CITY2	BRANDENBURG1A*
L
M			v{erein} b{randenburg}	stadt	brandenburg
1212176 1212176 | 46-60m    It was in the city of Hildesheim.
R		$GEST-NM-NOD-HEAD1^	$INDEX1	CITY2	HILDESHEIM3A*	$INDEX1
L
M		aus		stadt	hildesheim
1246100 1246100 | 18-30m    There is this one city, for example, Mumbai. M-U-M-B-A-I/
R		$INDEX1	$NUM-ONE-TO-TEN1A:1	CITY2	$INDEX1	MUMBAI-$CANDIDATE-FRA21^	$ALPHA1:M-U-M-B-A-I
L
M			eine	stadt		mumbai	mumbai
1180254 1180254 | 31-45m    Somehow it was like a Deaf city.
R		LIKE3A*	FEELING2B	CITY2	DEAF1A	$GEST-OFF1^*
L
M			gefühl	stadt
1180339-16161232-16363818 1180339-… | 31-45m    Especially downtown, in the historic city center, they have some great restaurants like the ‘Bremer Ratskeller’.
R		MOST1B	OLD5B*	CITY2	$INDEX1	RESTAURANT1	$INDEX1
L
M		[MG]	altstadt			restaurant
1178939 1178939 | 18-30f    That way each city would have one school for deaf students.
R		EXAMPLE1*	$NUM-ONE-TO-TEN1A:1d*	CITY2	$NUM-ONE-TO-TEN1A:1d*	DEAF1A	SCHOOL1A*
L
M		beispiel	ein	stadt	ein	gehörlosenschule
1179224 1179224 | 46-60f    Wandsbek is also an interesting part of the city.
R		WANDSBEK1	INTEREST1B	CITY2
L
M		wandsbek wandsbek	auch interessant
1289793 1289793 | 18-30f    We’d get up in the morning and go into town to wander around.
R		MORNING3A*	TO-GET-UP1	CITY2	TO-LOOK-AT4*
L
M		morg{ens}	aufstehen	stadt	[MG]
1289793 1289793 | 18-30f    After getting up, we’d take a look around the city.
R		CITY2*	TO-GET-UP1	CITY2	TO-LOOK-AT4
L
M		stadt		stadt	[MG]
1292458 1292458 | 18-30m    Paris is a city.
R		PARIS1	AN1A	CITY2	MEANS1^
L
M		paris	ein	stadt
1292458 1292458 | 18-30m    I don’t have a preferred city to live in.
R		APARTMENT5	TO-LIKE2	CITY2	NONE1*	I1
L
M			[MG]	stadt	kein
1292458 1292458 | 18-30m    City, country, city, country, city, country.
R		CITY2	COUNTRY3A*	CITY2	COUNTRY3A*	CITY2	COUNTRY3A*
L
M		stadt	land	stadt	land	stadt	land
1249741 1249741 | 18-30m    I have been to the castle festival in Neustadt-Glewe.
R		I1	NEW5	CITY2	$ALPHA1:G_2	BEEN1*	$INDEX1
L
M			neustadt		glewe
1182062 1182062 | 46-60f    That's why you go to town on your own.
R		RATHER1	ALONE1A	CITY2	TO-OBSERVE4
L
M		lieber	allein	stadt	beobachten
1182062 1182062 | 46-60f    I go to town by myself. That way, I have more options.
R		SELF3	ALONE1D	CITY2	MORE1	CAN2A
L
M		selbst	allein	stadt	mehr	kann
1182062 1182062 | 46-60f    I take a stroll for four to seven hours.
R			HOUR2B*	CITY2	TO-STROLL1
L		HOUR2B*
M		vier stunden	sieben stunden	stadt
1182062 1182062 | 46-60f    Only if I want a real stroll through the city, I go on Fridays.
R		SUDDENLY4	RIGHT-OR-CORRECT1A*	CITY2	TO-STROLL1	ALWAYS4A*
L							I1
M		[MG]	richtig	stadt	bummeln	immer
1182062 1182062 | 46-60f    You can sign it like this, as well.
R		TO-FILE1	TO-FILE1	CITY2	WEIRD-STRANGE3
L
M		speicher	speicherstadt		[MG]
1182062 1182062 | 46-60f    There wasn’t much time for a stroll through the city.
R		TIME1*	BARELY1	CITY2	TO-STROLL1
L
M		zeit	knapp	stadt	bummeln
1419370 1419370 | 18-30m    No matter where it is, it has to be a big city.
R	$GEST-NM-SHAKE-HEAD1^	MUST1	BIG3B	CITY2	AREA1A*	$INDEX1	DONE1A*
L
M		muss	großstadt		[MG]
1212218 1212218 | 46-60f    Before that, when you stayed in Cairo, didn’t you see anything impressive?
R	YOU1*	BACK-THEN1*	BEEN1	CITY2	$ALPHA1:K*	AREA1C	TO-WALK8*
L
M	und	gewesen		stadt	kairo»
1180339-16161232-16363818 1180339-… | 31-45m    Osnabrück is a normal town with 160,000 inhabitants.
R	OSNABRÜCK1	AN1A*	USUAL1	CITY2	APPROXIMATELY2	$NUM-HUNDREDS1:1	$NUM-TENS2A:6d
L
M	osnabrück	eine	normale	stadt	ungefähr	hundertsechzigtausend»
1430328 1430328 | 31-45f    Because it was voted cultural capitol they offered so much that I really want to show all this.
R	OLD5A	CULTURE1A*	$MORPH-MAIN4*	CITY2	$INDEX1	AREA1A^*	I1
L
M	alt	kulturhauptstadt
1430328 1430328 | 31-45f    But that was okay. We then just walked around.
R	$GEST-DECLINE1^*		NOT3B*	CITY2	I2*	TO-GO-FOR-A-WALK1*
L		BAD3B*
M		schlimm		[MG]
2935384-11295937-11502021 2935384-… | 61+m    I am known for my sign language course in Günzburg.
R	I1*	$GEST-OFF1^	QUOTATION-MARKS1*	CITY2	WORD2^*	AREA1A
L							WELL-KNOWN2
M				stadt	günzburg		bekannt»
1210997 1210997 | 46-60m    People were able to attend the guided tour in Fürstenfeldbruck or in Dachau.
R	$INDEX1	CAN1*	GROUP1A*	CITY2	TO-GO-THERE2*	SOVEREIGN-PRINCE1
L							TO-GO-THERE2*
M				stadtführung		fürstenfeld{bruck}
1209746 1209746 | 18-30m    In cities in Thailand the streets are not straight but rather serpentine.
R	$INDEX1*	$GEST-TO-PONDER1^	THAILAND1	CITY2	LIKE3A*	SHELF-OR-SUBJECT2A^*	LIKE3A*
L
M			thailand	stadt		haus	wie
1181455 1181455 | 61+f    In the center, it is, but not in the suburbs.
R	$INDEX1	CITY2	MIDDLE2A	CITY2	OUTDOORS1A*	NOT3B
L
M		stadtmitte		stadt	aber außen	nicht
1181455 1181455 | 61+f    But in Baden-Baden in the city center there are Indian restaurants, Greek or Turkish.
R	BUT1*	BADEN-BADEN2	IN1^*	CITY2		$GEST-OFF1^*	INDIA1*
L					AREA1A	FIRST-OF-ALL1B*
M	aber	baden-baden	innenstadt		gibt es		indisch
1419931 1419931 | 31-45f    You can’t do it here in Berlin, because it’s a city.
R	I1	BERLIN1A*	HERE1	CITY2	I2	$GEST-OFF1^
L
M		berlin		stadt
1248941-12070517-12233223 1248941-… | 18-30f    Teachers have to be evenly divided up to different locations.
R	MUST1	COMPENSATION2*	TEACHER2*	CITY2	DIFFERENT1^*	LOCATION1A^*	CITY2*
L
M	muss	ausgleich	lehrer		woanders		stadt
1179224 1179224 | 46-60f    For me, Hamburg is the best city to live in in all of Germany.
R	I1	HAMBURG1*	BEAUTIFUL5	CITY2	TO-LIVE1C	$GEST-OFF1^
L
M	für mich	hamburg	schönste	stadt	leben
1292458 1292458 | 18-30m    Right, I actually grew up in the city.
R	RIGHT-OR-AGREED1A	ACTUALLY1A	TO-GROW-UP1B*	CITY2	I1*
L
M	[MG]	eigentlich	aufgewachsen	stadt
1292458 1292458 | 18-30m    “No! It really, officially, is a small town.
R			SMALL11	CITY2	REALLY2	OFFICIAL3*
L	I2*	NO2A
M		nein	kleinstadt		[MG]	offiziell
1249741 1249741 | 18-30m    True, there is an old castle in Neustadt-Glewe.
R	$GEST-TO-PONDER2^*	RIGHT-OR-AGREED1A*	NEW5	CITY2	$ALPHA1:G	$INDEX1	THERE-IS4*
L
M			neustadt		glewe
1249741 1249741 | 18-30m    Schwerin is the capitol of Mecklenburg-Western Pomerania.
R	SELF1A*	SCHWERIN2*	$MORPH-MAIN4	CITY2	$ALPHA1:N	AREA1A*
L
M		schwerin	hauptstadt		mecklenburg{-vorpommern}
1249951 1249951 | 31-45m    Everything worked out well, and I arrived at the city.
R	TO-DRIVE1*	IT-WORKS-OUT1	PRESENT-OR-HERE1*	CITY2	PRESENT-OR-HERE1*	$GEST-OFF1^
L
M	fa{hren}	endlich		stadt	da
1184145 1184145 | 61+m    Other small cities have really modern train stations, but not Würzburg.
R	DIFFERENT2*	$INDEX1*	SMALL6	CITY2	$INDEX1*	MODERN1B*	TRAIN-STATION6
L
M	andere		kleinstädte			[MG]	bahnhof»
1182062 1182062 | 46-60f    So I planned on going to the city early.
R		TO-WANT5	EARLY4	CITY2	THERE1
L	I1
M		will	früh	stadt
1182062 1182062 | 46-60f    Freiburg is supposed to be the cleanest city in Germany, the best for the environment.
R	HERE1*	AREA1A^*	CLEAN1	CITY2	BEST1*	ENVIRONMENT1
L
M	freiburg	deutschland	sauber	stadt		umwelt
1419370 1419370 | 18-30m    Whatever, the main thing is to have it in a big city.
R	I2*	WHATEVER3*	BIG3B	CITY2	$GEST-OFF1^
L
M		egal	großstadt
2025500 2025500 | 46-60m    I’m also responsible for the advisory board for the deaf, the blind, and physically disabled people of the city of Brandenburg.
R	DISABILITY2	ON-OR-AT1^	$CUED-SPEECH:R2	CITY2	BRANDENBURG1B	HEARING1A	WHEELCHAIR2E*
L
M	behindertenbeirat			stadt	brandenburg	hörend	rollstuhl
1244978 1244978 | 31-45m    They got bored and so they always went to the city, which we didn't use to do back in the days.
R	TO-MAKE2	BOREDOM1*	ALL1A^	CITY2	TO-THERE1^	MASS-OF-PEOPLE-ACTIVE2*
L							PAST-OR-BACK-THEN1
M	was machen			stadt stadt			früher
1246102 1246102 | 18-30f    It was great that I was allowed to sleep there, even though I would have been able to commute from my home in Vilnius, the capital.
R	ALTHOUGH2*	I1	$MORPH-MAIN1B	CITY2	APARTMENT5*	IN1*	VILNIUS1*
L
M	obwohl		hauptstadt		wohnen		vilnius»
1430328 1430328 | 31-45f    Then I would show you the city.
R	OUTDOORS1A^*	CITY2	LIKE-HOW1A*	CITY2	$PROD
L
M		stadt	wie	stadt
1430328 1430328 | 31-45f    But I would also visit another city.
R			DIFFERENT2*	CITY2
L	ANYWAY1*	I1
M	sowieso		andere	stadt
1430396 1430396 | 46-60m    But after two or three years, we didn’t feel too comfortable there anymore, so we moved back to the city.
R	YEAR1A*	FEELING3*	BACK1A*	CITY2	BACK1A*
L
M	[MG]		zu{rück}	stadt	zu{rück}
1289910 1289910 | 18-30f    There are beautiful cities that are only a stone’s throw away.
R	TO-JUMP2*	ALSO1A	BEAUTIFUL1A*	CITY2	$INDEX2*
L
M	katzensprung	auch	schön	stadt
1290754 1290754 | 46-60m    The bar next door went bankrupt and a lot of stores in the city had to close, too.
R	OUTDOORS1B^	INN1	OFF-CLOSED1^	CITY2	TRADE-OR-STORE1*	OFF-CLOSED1^
L
M	[MG]	wirtschaft	[MG]	stadt	geschäft	[MG]
1292458 1292458 | 18-30m    They included the metro area, now it’s a big city.
R	AFTER-TEMPORAL3B	TOGETHER7	BIG3A	CITY2	$INDEX1
L
M	nach		großstadt
1210763 1210763 | 18-30m    Were you only in the city center and partied all the time?
R	CITY2	$INDEX2*	PARTY1B*	CITY2	OR4B*
L
M	stadt		partystadt		oder
1210763 1210763 | 18-30m    Then I was in their second capital Osaka, O-S-A-K-A.
R	THERE1*	FIRST1A*	$MORPH-MAIN1A	CITY2	$NAME*	$ALPHA1:O-S-A-K-A*	$ALPHA1:O-S-A-K-A
L
M	[MG]	zuerst	hauptstadt		os{aka}	osaka	osaka
1249951 1249951 | 31-45f    From a small town in the South of Saxony all the way to Weimar.
R	DOWN1*	$INDEX1*	LOCATION3^*	CITY2	$INDEX1*	UNTIL-OR-TO1	TO-GO-THERE1*
L			$INDEX1*
M	unten		kleinstadt			bis	weimar
1181455 1181455 | 61+f    Old town and new town.
R	CITY2	$GEST-OFF1^	NEW1A	CITY2
L
M	altstadt		neustadt
1414312 1414312 | 46-60m    The city of Berlin is also helping out financially.
R	FUNDING2A	VALUE1B^	FAR-AWAY1^*	CITY2	BERLIN1B
L
M		finanziell	vom	stadt	berlin
2025500 2025500 | 31-45f    What about Brandenburg? Do the deaf people get involved?
R	QUESTION1	WHAT-DOES-IT-LOOK-LIKE1*	YOUR1	CITY2	BRANDENBURG1A	DEAF1A*	AREA1B^*
L
M	frage	wie sieht aus		stadt	brandenburg	gehörlose
1180339-16161232-16363818 1180339-… | 31-45m    Like any other city, Bremen holds various exhibitions on the historic city center, or on local history, such as the “Roland” [a statue in the market square of Bremen].
R	CITY2	MUSEUM1*	OLD5B	CITY2	ROLAND-MONUMENT1	HISTORY-OR-STORY3	$GEST^
L
M	stadt	museum	altstadt		roland	geschichte
1180339-16161232-16363818 1180339-… | 31-45m    Yes, the famous fairy tale of the Town Musicians of Bremen: a donkey, a dog, a cat, and a cock.
R	FAMOUS1A	HISTORY-OR-STORY8	BREMEN1*	CITY2	MUSIC1	DONKEY1*	$LIST1:2of2d
L						$NUM-ONE-TO-TEN1A:1d
M	berühmt	märchen	bremer stadtmusikanten			esel
1585286 1585286 | 18-30f    He lives in a high-rise building in the center of the city.
R	APARTMENT1A*	HIGH-RISE2*	$INDEX1*	CITY2	CENTRE1A	$INDEX1*
L
M	wohnt	hochhaus		stadtzentrum
1585286 1585286 | 18-30f    It was very difficult to get to the city of Dresden.
R	$GEST^	DIFFICULT1	INTO2*	CITY2	$INDEX1*	DRESDEN1	INTO2*
L
M		schwierig	rein	stadt		dresden
1292458 1292458 | 18-30m    You usually get that in the city.
R	TO-OBTAIN1*	MOST1B	THROUGH2A	CITY2	$INDEX1
L
M	bekommen	meistens	durch	stadt
1292458 1292458 | 18-30m    City, country, city, country, city, country.
R	COUNTRY3A*	CITY2	COUNTRY3A*	CITY2	COUNTRY3A*
L
M	land	stadt	land	stadt	land
1184145 1184145 | 61+m    Würzburg is a cultural city.
R	AREA1A	AN1A*	CULTURE1A*	CITY2	$GEST-OFF1^
L
M	würzburg	ein	kultur	stadt
1209495-10594836-11212321 1209495-… | 18-30f    You arrange to meet up to go swimming, to the city, different stuff, just shortly before.
R	MINUTE3	TO-SWIM1	OR5*	CITY2	OR5*	$GEST-OFF1^	DISTINCT1*
L
M	minute	schwimmen	oder	stadt	oder		verschieden
1182062 1182062 | 46-60f    I rather go for a short stroll during the week.
R	FAX1^	WEEK2*	SHORT4	CITY2	TO-STROLL1
L
M	unter	woche	kurz	stadt	bummeln
1182062 1182062 | 46-60f    It was wonderful in Heidelberg with the castle and the old town.
R	WAS1	BEAUTIFUL1A	CASTLE1*	CITY2	TO-SEND-OR-TO-DISPATCH1^
L
M	war	schön	schloss	stadt
1182062 1182062 | 46-60f    The Speicherstadt in Hamburg!
R	$INDEX1	$INDEX1*	TO-FILE2*	CITY2
L
M	hamburg	hamburg	speicherstadt
1413451-11171532-11201836 1413451-… | 18-30m    Then I would ask what our plans were for the day, and we simply went downtown to shop.
R	$GEST-OFF1^	BOLLOCKS1^	DIRECTION3^	CITY2	TO-SHOP1	AREA1A^*
L
M		[MG]		stadt	einkaufen
1180339-16161232-16363818 1180339-… | 31-45m    There are many smaller towns surrounding Osnabrück.
R	NORTH1A*	OSNABRÜCK1	SMALL11	CITY2	$INDEX1*
L
M	nord	osnabrück	klein	städte
1177702 1177702 | 46-60m    I don't live in the city like you do in your condo.
R	APARTMENT1A*	NOW1	NOT3A*	CITY2	LIKE1A*	YOU1	OWN1D*
L
M	wohnen		nicht	stadt	wie	du	eigenwohnung»
1179224 1179224 | 31-45f    In North Rhine-Westphalia, the cities are all grey.
R	THERE1*	VERY7	GREY1	CITY2	$INDEX1
L
M	nordrhein-westfal{en}	[MG]	grau	stadt
1430328 1430328 | 31-45f    I love living in the city.
R	GOOD1	PASSION1	I1*	CITY2
L
M	[MG]	leidenschaft		stadt
1430328 1430328 | 31-45f    The historic part of Cologne has these small winding alleys.
R	WAY1*	TYPICAL1*	OLD5A	CITY2	WORD2	$GEST^
L
M	klein weg	typisch	altstadt		wort
1289910 1289910 | 18-30f    One time you could stay here and visit some cities, another time you could go somewhere by plane, you can simply alternate between the two.
R	TO-LET2A^*	AREA1A^*	DIFFERENT1	CITY2	BEAUTIFUL1A*	$GEST^	$INDEX1*
L
M	stadt		andere	stadt	schön		mal
2935384-11295937-11502021 2935384-… | 61+m    You’re right, a big city is perfect for deaf people.
R	FOR1	DEAF1A	BIG3B*	CITY2	TO-FIND-STH-GREAT3
L
M	für	gehörlos	großstadt		[MG]
1249951 1249951 | 31-45f    Many say that there won't be any cities left in the future, because they'll be flooded.
R	TO-TELL4	LATER3*	NONE6*	CITY2	$GEST-OFF1^	NOT-ANYMORE1A	ALL1A*
L
M	erzählen	später	kein	stadt		ni{cht} mehr	alle
1184145 1184145 | 61+m    In Selb everything is made from porcelain, it doesn’t matter what. It doesn’t matter if it is a poster, a fountain, signs with house numbers or any other sign, everything is made out of porcelain.
R	CHINAWARE1B*	WHAT1A	$INDEX1	CITY2	WHATEVER3*	PLACARD2*	ALL2C^
L
M	porzellan	was		stadt	egal	plakat	brunnen
1419370 1419370 | 31-45m    I’m wondering why they were planning it far-off, it would be better in a big city like here in Berlin.
R		RATHER1	BIG3B	CITY2	HERE1*	CLOSE-BY1B
L	FAR1
M	warum	lieber	großstadt		berlin	[MG]
1249741 1249741 | 18-30m    My village is close to Ludwigslust. That is quite the special city.
R	CLOSE-BY1B*	$INDEX1	GOOD1^*	CITY2	LUDWIGSLUST1B	$INDEX1	$GEST-OFF1^*
L
M	[MG]		besonderes	stadt	ludwigslust
1249741 1249741 | 18-30m    Of course it's different because you are from Schwerin, which is a big city.
R	SELF1A*	SCHWERIN2*	BIG4A	CITY2
L
M	selbst	schwerin	großstadt
1249951 1249951 | 31-45m    People told me not to drive to my aunt's place, but rather stay in the city where my parents live.
R	FINISH1	RATHER1	$INDEX1*	CITY2	PARENTS7	APARTMENT1A*	SECURE1*
L						PARENTS7*	PARENTS7*
M		lieber	wo	stadt	eltern	wohnt	sicher»
1184145 1184145 | 61+m    Most people that have been to Würzburg say that it is an episcopal city.
R	MOST3	TO-SAY1	BISHOP2	CITY2
L
M	meist		bischofstadt
1182062 1182062 | 46-60f    I like to go to town by myself, too.
R	ALONE1D*	RATHER1	ALONE1D	CITY2	TO-GO-THERE1
L
M	allein	lieber	allein	stadt
1182062 1182062 | 46-60f    On Fridays I go shopping all day long, yes.
R	FRIDAY3A	BEST1*	EVENING2	CITY2	I1*	TO-STROLL1	YES1A
L
M	freitag	beste	abend	stadt		bummeln	ja
1182062 1182062 | 46-60f    We wanted to visit the Speicherstadt [lit. warehouse district, historic part of Hamburg’s city center].
R	MUSEUM1	$INDEX1	MIDDLE2B^*	CITY2
L
M	museum		speicherstadt
1248941-12070517-12233223 1248941-… | 18-30f    Possibly, Americans rather go to Berlin, the capital.
R	$INDEX1	BERLIN1A	$MORPH-MAIN1B	CITY2	$INDEX1	BERLIN1C	TO-GO-THERE1*
L
M		berlin	hauptstadt			berlin
1177702 1177702 | 46-60m    I wouldn't want to live in a condo in a little town.
R	APARTMENT6A*	HERE1	SMALL1B	CITY2	TOO-BAD1*
L
M	eigenwohnung	hier	klein	stadt	schade
1430328 1430328 | 31-45f    Different cities were elected cultural capital there.
R	WHERE3	CULTURE1A*	$MORPH-MAIN4*	CITY2
L
M	wo	kulturhauptstadt
1430328 1430328 | 31-45f    During that year there were a lot of events at the “Zeche Zollverein.”
R		CULTURE1A*	$INDEX1	CITY2	AREA1A^*	$ALPHA1:Z	TO-BE-CALLED4*
L	OVER-TEMPORAL2A*
M		kultur				zollverein	heißt
1413683 1413683 | 46-60m    Well, that didn't work out either. Berlin is known for long nights of partying.
R	EARLY-MORNING1	BERLIN1A*	$MORPH-MAIN1B	CITY2	$GEST-OFF1^	$GEST-DECLINE1^
L
M			hauptstadt
1183917 1183917 | 31-45m    There immediately rebuilding everything that had been destroyed went wrong and the result did not fit with the urban development.
R	TO-BUILD1*	$PROD	TO-MATCH2	CITY2	TO-DEVELOP1A	$GEST^*	TO-MATCH2*
L
M	bau bau bau		passt	stadtentwickler		wie	passt passt
1430328 1430328 | 31-45m    Dresden has an underground museum. It goes along the old town walls and you could do a guided tour there.
R	TO-OWN-TO-EXIST1*	$NUM-ONE-TO-TEN1A:2d*	OLD5A	CITY2	WALL3	IN2*	MUSEUM1*
L
M			alt	stadtmauer		im
1292458 1292458 | 18-30m    There, Paris is the only city of over a million inhabitants.
R	SOLE1*	$INDEX1	$NUM-MILLION1*	CITY2	$INDEX1
L
M	einzig		million	stadt
1292458 1292458 | 18-30m    Many move to the city to earn money.
R	TO-NEED1	MOST1B*	TO-COME1	CITY2	MASS-OF-PEOPLE-ACTIVE1
L
M	brauchen	immer		stadt	[MG]
1413242 1413242 | 46-60m    Those wood pylons to which the power lines for the streetcars are attached.
R	THIN-OR-SKINNY1A^*	STREETCAR2C*	NET1A^*	CITY2	STREETCAR2C^	THIN-OR-SKINNY1A^*	NET1A^
L
M		s{traßenbahn}	stadt		strom	[MG]	verbunden
1182062 1182062 | 46-60f    My daughter says, “You’re crazy strolling through the city that long.”
R	TO-BE-OUT-OF-ONES-HEAD2	$GEST-DECLINE1^*	LONG-TEMPORAL4B*	CITY2	TO-STROLL1
L
M	spinnst		so lang	stadt	bummeln
1418858 1418858 | 31-45m    We have three partner clubs: Halberstadt, Magdeburg and Stendal.
R	CLUB-OR-SOCIETY1A		HALF6*	CITY2		MAGDEBURG1	$INDEX1
L		$NUM-ORDINAL1:1d			$INDEX1
M	verein		halberstadt			magdeburg
1413703 1413703 | 46-60m    There is a clothes store in the capital of Tunisia, no, in the second largest city - Sousse - that is run by a deaf person.
R	TUNISIA-$CANDIDATE-BER19^	$INDEX1	$MORPH-MAIN1B	CITY2	ATTENTION1A^	$NUM-ORDINAL1:2*	CITY2
L
M	tunesien		hauptstadt			zweite	stadt
1419370 1419370 | 31-45m    Do you remember which city it was where they were planning to establish such a university, but dropped it again?
R	$INDEX1	TO-GIVE-UP1		CITY2	WHERE1B*	$INDEX1
L			$INDEX1
M		ab		stadt	wo
1246329 1246329 | 61+m    We went to Buchenstadt near Posen.
R	LOCATION1B	TO-SAY1^	TO-OPEN-BOOK1^	CITY2	NEAR1C	$INDEX1*
L
M	ort	heißt	buchenstadt		bei	posen
1180339-16161232-16363818 1180339-… | 31-45m    Did you know that two years ago Osnabrück was said to be Germany's friendliest city?
R	FRIENDLY2*	CITY2*	OSNABRÜCK1*	CITY2	COUNTRY1A*	OSNABRÜCK1	$GEST^
L
M	freundlich	s{tadt}	os{nabrück}	stadt	deutschland	osnabrück
1430328 1430328 | 31-45m    Well, I would show you everything from the village to the big city.
R	VILLAGE3	UNTIL-OR-TO1	BIG3C*	CITY2	$GEST-OFF1^*
L
M	dorf	bis	großstadt
1431222 1431222 | 31-45f    There were a lot of things that were different in the East, the people, the mentality and the city with its beautiful roads.
R	PERSON1^*	MENTALITY1*	$GEST^	CITY2	AREA1A^*	$PROD
L
M	anders	mentalität		stadt
1584545 1584545 | 31-45f    Leipzig is an especially old town.
R	PARTICULARLY4*	$GEST^*	OLD5A	CITY2	$GEST-OFF1^*
L
M	besonders		altstadt
1182062 1182062 | 46-60f    Last year, I walked around Freiburg for seven hours, phew.
R	$GEST-DECLINE1^*	$NUM-ONE-TO-TEN1D:7d	HOUR2B	CITY2
L					TO-WALK-AROUND1
M	[MG]	sieben	stunden	stadt	freiburg
1177702 1177702 | 46-60m    I live in a small town, well in a town in the countryside.
R	$GEST-OFF1^	APPROXIMATELY1*	SMALL1B*	CITY2	WITH1A	COUNTRY3C
L
M	[MG]	[MG]	klein	stadt	mit	land
1211075 1211075 | 46-60f    We got dressed and visited an anniversary celebration in the old town, sorry, I meant to say Albstadt.
R	PARTY1B	$INDEX1	OLD8A	CITY2	$INDEX1	WRINKLE-CHEEK1A^*	$GEST-DECLINE1^*
L
M	jubiläum		altstadt			alb
1204877 1204877 | 46-60m    When I got a new work position, I moved to Passau.
R	NEW1B*	TO-WORK2	AREA1A*	CITY2	PASSAU1	I1*	PRESENT-OR-HERE1*
L
M	neu	arbeit		stadt	passau		da
1249951 1249951 | 31-45m    At the time, my parents were at my aunt's place, in a small village nearby Stralsund.
R	AUNT5	PARENTS7	VILLAGE3*	CITY2	VILLAGE3*	OUTDOORS2	$INDEX1
L						CITY2*
M	tante	eltern		stadt	dorf
1182062 1182062 | 46-60f    If I want to hit the town with my daughter, she doesn’t want to come with.
R	DAUGHTER1*	TO-WANT7*	WITH1C	CITY2	NONE7B*
L
M	tochter	will	mit	stadt	[MG]
1248862 1248862 | 18-30f    There we can exchange thoughts, hold a seminar, maybe do some sports or a city tour during our time off.
R	SPORTS1A*	TOGETHER7	$GEST^	CITY2	TO-LOOK-AT4
L
M	sport	zusammen		stadt	m
1584198 1584198 | 31-45m    She recently moved in with me in Halberstadt.
R	MY1	I1	HALF1A	CITY2
L					TO-MOVE2*
M		zu mir	halberstadt
1289910 1289910 | 18-30f    But his family lives in Agadir, A-G-A-D-I-R, which is another city.
R	TO-WOBBLE1^*	$ALPHA1:A-G-A-D-I-R	DIFFERENT1*	CITY2	$INDEX1
L
M	agadir	agadir	andere	stadt
1210763 1210763 | 18-30m    I, for instance, meet my friends at a café, go to the movies, go into the city.
R	TOGETHER1A*	CINEMA2	$GEST-OFF1^	CITY2	TO-GO-FOR-A-WALK1
L
M		kino		stadt	[MG]
1290996-15110219-15155045 1290996-… | 61+f    In Berlin, he said he was a German now, a ‘Berliner’, and the others boiled with rage.
R	I1*	BERLIN1A*	I1	CITY2	ALL1A*	TO-BE-SEETHING4*	TO-COME1*
L
M	deutsch	berlin		stadt	alle		kommt
1427810 1427810 | 18-30f    The main thing is that the city has at least one street to stroll along. That's all it needs.
R				CITY2			INVOLVED1A*
L					MAIN-POINT1A*	ONLY2A
M				stadt	haupts{ache}	nur	dabei
1181455 1181455 | 61+f    It was just a city, and that was it.
R				CITY2	THATS-ALL1B
L
M				stadt
1290126 1290126 | 31-45m    Where was that? In a city? A big city?
R			WHERE1A	CITY2	BIG3B	CITY2
L
M			wo	stadt	großstadt
1433543 1433543 | 31-45m    The old town and the Marienplatz [Mary’s Square, Munich’s main square] and/
R				CITY2	$GEST-OFF1^*
L			OLD3*			BEAK3^*	BEAK3^
M			altstadt			marienplatz»
1427810 1427810 | 18-30f    Is it a nice city?
R			$INDEX1	CITY2	$INDEX2*	GOOD1*	CITY2
L
M			[MG]	stadt		[MG]	stadt
1433543 1433543 | 31-45m    King Maximilian wanted the Maximilian street to be a real eye catcher, straight and magnificent, so the gate had to go.
R	AVENUE1	EQUAL1A^*		CITY2	TO-MATCH1*
L			$NUM-ONE-TO-TEN1A:1d			OFF1A*
M		auch	ein	s{tadt}	pass ni{cht}	ab
1433543 1433543 | 31-45m    And in the city center, not somewhere out in the countryside.
R			MIDDLE2B^*	CITY2		TYPICAL1*	OUTDOORS1A*
L		ALSO1A*			$INDEX1
M		auch		stadt			außerhalb
1249741 1249741 | 18-30f    There are a lot of shops located in the old part of town.
R		$GEST-OFF1^		CITY2		TO-BUY1A^	$GEST-OFF1^
L			OLD5A		THERE-IS3*
M			altstadt		gibt	geschäfte	und
1179224 1179224 | 46-60f    These families like to live in the city.
R		FAMILY1		CITY2
L			IN1*		BACK1A*
M		familie	in	stadt	immer wieder zu{rück}
1582654 1582654 | 18-30m    In Kiev, the capital of the Ukraine.
R				CITY2
L		$ALPHA1:K-I-E-W	$MORPH-MAIN4		UKRAINE1*	AREA1A*
M		kiew	hauptstadt		ukraine
1289793 1289793 | 18-30f    Herford is more of a small town.
R			SMALL6	CITY2	$GEST-OFF1^
L	HERFORD1*	MEANING1*
M	herford	wie	kleinstadt
1289793 1289793 | 18-30f    Well, Herford is a small town.
R	$GEST-OFF1^		SMALL11	CITY2	$GEST-OFF1^
L		HERFORD1
M		herfor{d}	kleinstadt
1290126 1290126 | 31-45m    Where was that? In a city? A big city?
R	WHERE1A	CITY2	BIG3B	CITY2
L
M	wo	stadt	großstadt
1433543 1433543 | 31-45m    #Name1 was told this during a guided city tour.
R	$INDEX1		$NAME	CITY2	TO-LEAD1A	TO-TELL3A*
L		THROUGH2A*					HE-SHE-IT2*
M		durch	#name1	stadtführer		erzählt
1433543 1433543 | 31-45m    Just around the corner, in the cosmopolitan city with heart.
R	LIKE3A*	CLOSE-BY1A*	WORLD1	CITY2	WITH1A*	HEART2A*	$INDEX1*
L
M	wie	nah	weltstadt		mit	herz
1176566 1176566 | 61+m    I have a question for you: How many deaf members are there in your city?
R		MEMBER3		CITY2
L	HOW-MUCH3A*		YOU1*		$INDEX1	AREA1A^*	DEAF1A
M	wie viel	mitglieder	du	stade
1182062 1182062 | 46-60f    Ah okay, you mean the Speicherstadt in Hamburg.
R				CITY2
L	IN1	$INDEX1	IN-ADDITION1^
M	in	hamburg	speicherstadt
1179224 1179224 | 46-60f    In the evening, you could go to Hafencity right after visiting Speicherstadt.
R	EVENING2	LIGHT1*	TO-COLLECT1^	CITY2	LINK2		DOWNTOWN1
L						HARBOUR1*
M	abend	licht	speicherstadt		anschließend	hafencity
1427810 1427810 | 18-30f    Is it a nice city?
R	CITY2	$INDEX2*	GOOD1*	CITY2	$INDEX2*	GOOD1*	$INDEX1*
L
M	stadt		[MG]	stadt		[MG]	[MG]
1427810 1427810 | 18-30f    Can we walk around the city for a bit?
R	$INDEX1*	CAN1*	TO-GO-FOR-A-WALK1*	CITY2
L
M		kann	[MG]	stadt
1181455 1181455 | 61+f    He said it was a gift the city gave him for his 60th birthday.
R		$GEST-OFF1^		CITY2		$INDEX1
L	TO-SAY1*		$INDEX1		HAVE-AUXILIARY1		MY1
M	sagen			stadt	hat	für ihn	mein
1181455 1181455 | 61+f    Yes, it is beautiful, but the city is expensive, too.
R	BEAUTIFUL3	BUT1*		CITY2
L			$INDEX1		NO2A	EXPENSIVE1*	$INDEX1
M	schön	aber			zu teuer
1182062 1182062 | 46-60f    No, I mean the streetcar in the old town. It is gone; everything has been tarred.
R	STREETCAR1*	STREETCAR2C*	OLD8A*	CITY2	NOT-ANYMORE1A	CLOSED10*
L
M	straßenbahn		altstadt		nicht mehr	zu
1433543 1433543 | 31-45m    The Hofbräuhaus is close to the city center; I’d recommend it to everyone who likes to party.
R			CLOSE-BY2B	CITY2	MIDDLE2A*	CLOSE-BY2B	TO-CELEBRATE1*
L	$ALPHA1:B	$INDEX1
M	h-b			stadtmitte			[MG]
1246681 1246681 | 46-60m    The entire area around Oggersheim was a town back then.
R	$ORAL^			CITY2	HEADING1*
L		PAST-OR-BACK-THEN1*	TO-BELONG1^*
M	war	früher	eigen	stadt
1179224 1179224 | 46-60f    The walk starts at Speicherstadt.
R		$GEST-OFF1^	TO-COLLECT1^	CITY2
L	FROM-OR-BY-OR-OF2*
M	von		speicherstadt
1181455 1181455 | 61+f    I like walking into the city through the Lichtentaler alley.
R		TO-WALK9C		CITY2	$GEST^		PARALLEL1B^
L	I1		TO-THERE1^*			LIGHT1
M	ich	laufen	hin	stadt		lichtentaler
1181455 1181455 | 61+f    And fourth, Sinsheim became capital one year ago.
R	$INDEX1	BEGINNING1A	$MORPH-MAIN1B*	CITY2	$GEST-OFF1^
L
M	vorletzten jahr	anfang	hauptstadt
1182062 1182062 | 46-60f    Is rambling about the city your hobby?
R
L			HOBBY1*	CITY2*	TO-STROLL1	YOU1*
M			hobby	stadtbummeln
1182062 1182062 | 46-60f    It's a beautiful city.
R
L			BEAUTIFUL5	CITY2*	$INDEX1
M			schön	stadt
1182062 1182062 | 46-60f    The old town is really beautiful.
R
L			OLD3*	CITY2*	$INDEX1	SUPER2
M			altstadt			[MG]
1249951 1249951 | 31-45m    At the time, my parents were at my aunt's place, in a small village nearby Stralsund.
R	VILLAGE3*	CITY2	VILLAGE3*	OUTDOORS2	$INDEX1	CLOSE-BY2B	STRALSUND1*
L				CITY2*
M		stadt	dorf			nahe	stralsund»
1246566 1246566 | 46-60m    Would a city be able to pay for all that?
R				CITY2*	CAN2B	PROCEEDING1A^*
L							EVERYTHING1A*
M				stadt	kann	alles
1427810 1427810 | 18-30f    I don’t know how one would search for something like that.
R				CITY2*
L					SOMEWHERE1	WHAT-DOES-THAT-MEAN1	NO-CLUE1*
M				stadt		etwas
1246681 1246681 | 46-60m    Only the cities themselves.
R			ONLY4*	CITY2*
L
M			nur	stadt stadt stadt
1289793 1289793 | 18-30f    There’s a couple of restaurants in the city.
R			RESTAURANT1*	CITY2*
L
M				stadt
1246681 1246681 | 46-60m    Mainz is also very well known. It’s the capital of the federal state.
R	CITY2*			CITY2*
L		COUNTRY1A*	$MORPH-MAIN1A*
M		landeshauptstadt
1179224 1179224 | 46-60f    Nowadays, when I have guests, when friends visit me, the first thing we do is a go on a tour through Speicherstadt [lit. City of Warehouses, part of town].
R		TO-LEAD1A	TO-COLLECT1^	CITY2*
L	FIRST-OF-ALL1C				$INDEX1
M	erstes mal		speicherstadt
1181455 1181455 | 61+f    Then they relocated it to the ‘Kurhaus’ colonnades in the city.
R		$INDEX1	DOWN1*	CITY2*	CURE1
L						AREA1A^
M				stadt	kur	kolonnaden
1244581 1244581 | 18-30m    Hotels were destroyed and all the cities near the sea, as well.
R	HOTEL3	TO-DESTROY1*		CITY2*	CLOSE-BY1A*	OCEAN2A*	TO-DESTROY1*
L			ALL1A*
M	häuser	[MG]	alle	stadt stadt	[MG]	meer	[MG]
1246681 1246681 | 46-60m    The town has since lost its town privilege.
R		MUST1A^*		CITY2*	LAW-OR-JUSTICE1	TO-LOSE1
L	$INDEX1*		HIS-HER1*
M	oggersheim	hat	sein	stadtrecht		verloren
1289793 1289793 | 18-30f    Yes, theater, cinema, a place to go swim, downtown.
R		$LIST1:2of2d*	TO-SWIM1*	CITY2*	$GEST-OFF1^	$GEST-OFF1^
L	CINEMA2*
M	kino		schwimmen	stadt
1249741 1249741 | 18-30f    A lot of roads were rebuilt in other cities; I thought it was weird.
R		DIFFERENT1*	LOCATION1B^*	CITY2*	DIFFERENT1*	WAY2B	NEW1B
L	OR1*
M	oder	andere		stadt	andere	weg	neubau»
1179224 1179224 | 46-60f    I feel like that also has to do with Hamburg being an interesting city.
R				CITY2*
L	HAMBURG1*	TO-SAY1^*	INTEREST1B		$GEST-OFF1^*
M	ham{burg}		interessant	stadt
1179224 1179224 | 46-60f    It’s all duty-free. The load could easily be transferred to the warehouses with a peg on a pull rope.
R	CUSTOMS1A	FREE1	TO-COLLECT1^	CITY2*	$PROD
L
M	zollfrei		speicherstadt
1246681 1246681 | 46-60m    Back then, the Romans built a lot of cities along the Rhine.
R	BORDER1A^*	$INDEX1*		CITY2*	TO-PROMOTE1A^*
L			MUCH1C*
M	am rhein		viele	städte	errichtet
1246681 1246681 | 46-60m    Half of Oppau’s inhabitants died, and half the town was destroyed during that explosion.
R				CITY2*		TO-DESTROY1
L	AREA1A^	DEATH3	HALF3*		HALF3*
M	oppau	[MG]	halbe	stadt	halb	[MG]
1181455 1181455 | 61+f    I live upland and the city lies beneath.
R				CITY2*
L	MY1	APARTMENT1A	$INDEX1*		LOCATION1A
M	mein	wohnen	oben	stadt
1246681 1246681 | 46-60m    Mainz is also very well known. It’s the capital of the federal state.
R	$LIST1:2of2d	MAINZ1*	SELF1A*	CITY2*			CITY2*
L					COUNTRY1A*	$MORPH-MAIN1A*
M		mainz	selbst		landeshauptstadt
1413485 1413485 | 18-30m    We followed up on the whole topic, even until the big funeral, which was also very sad.
R	SAD1*	UNTIL-OR-TO1*		CITY2*	$PROD		GRAVEYARD1
L			$GEST-TO-PONDER1^*			$INDEX1
M	traurig	bis		stadt	[MG]		friedhof
= SITE-LOCATION1B (4 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: location; place; position
by transcript | by glosses | by right neighbours | by left neighbours
1584411 1584411 | 31-45f    The job agency just doesn't pay for re-training or further education.
R			TO-WORK2	SITE-LOCATION1B*	TO-PAY1	TO-CHANGE2A	SCHOOL1A
L
M			arbeitsamt		bezahlen	umschulung
1245820 1245820 | 31-45m    The problem is that deaf people don't know the law very well. Furthermore, there is no place to go to get some information.
R	NONE7A*	$MORPH-AT1	TO-RUN1*	SITE-LOCATION1B	$GEST-OFF1^
L
M	[MG]	anlaufstelle
1212402 1212402 | 31-45f    Half a year later, I got an employment agreement at the company which I am currently employed at.
R	I1	TO-WORK1*	TO-OBTAIN3*	SITE-LOCATION1B	TO-OBTAIN3
L
M		arbeit		stelle	bekomm
1245820 1245820 | 31-45m    If there were enough drop-in centers around, deaf people could go there and just ask for support etc.
R		MUST1	TO-RUN1^*	SITE-LOCATION1B	PRESENT-OR-HERE1*	CAN1	$INDEX1*
L
M		muss	anlaufstelle		da da	kann

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Types ID	Gloss	HamNoSys	Mouth	iLex	ELAN	SRT	Video frontal	Video 45°	Video 90°	Video from above	Pose
13583	LOCATION1B^		∅
77300	VILLAGE4		dorf
32080	LOCATION1B		ort
8374	CITY2		stadt
7263	SITE-LOCATION1B		∅