CLOSE-BY1^



≙ CLOSE-BY1^
Berlin \| dgskorpus_ber_11 \| 61+m That was good for him. He moved into a nice apartment for elderly people.
r	APARTMENT1B	GOOD1*	END1^*	CLOSE-BY1^	$INDEX1
l			END1^*	CLOSE-BY1^
m	…	[MG]	[MG]	stadt
Berlin \| dgskorpus_ber_13 \| 31-45f I‘m a committee member for the regional association, but I work in the department for senior citizens.
r	I1	COUNTRY1A*	UNION2A	CLOSE-BY1^	TO-SIT-FACING-SB1^	TO-OPEN3^	FOR1*
l			UNION2A	CLOSE-BY1^	TO-SIT-FACING-SB1^	TO-OPEN3^
m	landesverb{andb}eisitz{er}					aber abteilung	für
Berlin \| dgskorpus_ber_13 \| 31-45f I wouldn‘t mind being the auditor or a committee member.
r	TEST1^	TO-CALCULATE1^	OR1	CLOSE-BY1^	TO-SIT-FACING-SB1^
l	TEST1^	TO-CALCULATE1^	OR1	CLOSE-BY1^	TO-SIT-FACING-SB1^
m	kassenprüf		oder	beisitz
Göttingen \| dgskorpus_goe_07 \| 18-30m The lift went all the way down.
r				CLOSE-BY1^	TO-ACCOMPANY1A*	ALONE2*	TO-STAND1*
l				CLOSE-BY1^	TO-ACCOMPANY1A*
m				??		al{lein}	[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f There’s this one famous street near the Reeperbahn that’s closed off.
r		REEPERBAHN1	WELL-KNOWN1A	CLOSE-BY1^
l			WELL-KNOWN1A	CLOSE-BY1^
m		reeperbahn	bekannt
Leipzig \| dgskorpus_lei_12 \| 61+m Sure, my wife is deaf in her left ear, but she still hears a bit with her right ear.
r	$GEST-OFF^	CLEAR1A	MY1	CLOSE-BY1^	$NUM-ONE-TO-TEN1A:1		DEAF2
l	$GEST-OFF^	CLEAR1A		CLOSE-BY1^		EAR1
m		klar	mein	frau	ein		{er}taubt
München (Munich) \| dgskorpus_mue_07 \| 18-30m One can go skiing there.
r				CLOSE-BY1^	SKI1
l				CLOSE-BY1^	SKI1
m					ski
München (Munich) \| dgskorpus_mue_07 \| 18-30m Or one drives to Ulm to go to Legoland.
r			OR5*	CLOSE-BY1^			LEGO-BRICKS-$CANDIDATE-MUE69^
l			OR5*	CLOSE-BY1^	$ALPHA1:U-L-M*	$INDEX1	LEGO-BRICKS-$CANDIDATE-MUE69^
m			oder		ulm		legoland
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m South-, then maybe 10 kilometers towards the east is where it is.
r	SOUTH1B*	$INDEX1*	$PROD	CLOSE-BY1^	$NUM-ONE-TO-TEN1B:10	KILOMETRE1*	FROM-TO1*
l			$PROD	CLOSE-BY1^	$NUM-ONE-TO-TEN1B:10	KILOMETRE1*	FROM-TO1*
m	süder{brarup}	[MG]		noch mal	zehn	kilometer
Stuttgart \| dgskorpus_stu_12 \| 46-60f Did you find clothes and stuff easily?
r				CLOSE-BY1^	TO-FIND1A*	CLOTHES1A	TO-FIND1A*
l				CLOSE-BY1^		CLOTHES1A
m				leicht	finden finden	kleidung	finden finden
Berlin \| dgskorpus_ber_02 \| 46-60m At the beach? No, just on the street on the right side.
r				CLOSE-BY1^*	RIVER1^	NO1A	STREET3*
l							STREET3*
m				am	strand		straße
Berlin \| dgskorpus_ber_04 \| 46-60m Back then I lived in the Karlsruhe area.
r	KARLSRUHE2*	$INDEX1*	KARLSRUHE2*	CLOSE-BY1^*	$INDEX1*	KARLSRUHE2*	APARTMENT5
l	KARLSRUHE2*	$INDEX1*	KARLSRUHE2*	CLOSE-BY1^*		KARLSRUHE2*	APARTMENT5
m			karlsruhe			karlsruhe	wohnen
Berlin \| dgskorpus_ber_14 \| 18-30f It doesn't matter if you stand up close or far away, the important thing is that you can see well.
r		WHATEVER3*	MEASURE-SAGITTAL2B^	CLOSE-BY1^*	WHATEVER3*	TO-LOOK2*	GOOD1*
l			MEASURE-SAGITTAL2B^	CLOSE-BY1^*
m		egal	weit	kurz	egal	[MG]	gut
Frankfurt \| dgskorpus_fra_08 \| 18-30f They told me that if I had a deaf boyfriend, the next generation, my children, would automatically also be deaf.
r	THEN1A	THEN1A*	GENERATION4*	CLOSE-BY1^*	TO-GROW2A^*	TO-PROMOTE1B^*	ALSO3A*
l			GENERATION4*	CLOSE-BY1^*		TO-PROMOTE1B^*
m	dann	nächste	generation	nachwuchs			auch
Göttingen \| dgskorpus_goe_05 \| 31-45m If it's too close, it's dangerous.
r		CLOSE-BY1B*	DANGEROUS1B*	CLOSE-BY1^*	$GEST-OFF^*
l		CLOSE-BY1B*		CLOSE-BY1^*
m		zu zu zu gefährlich
Göttingen \| dgskorpus_goe_05 \| 31-45m There is no ocean too close to one in Germany.
r	$INDEX1*	NONE3	OCEAN1B*	CLOSE-BY1^*
l		NONE3	OCEAN1B*	CLOSE-BY1^*
m	…	kein	meer	zu
Göttingen \| dgskorpus_goe_05 \| 31-45m But Oba/ Oba/ What's his name again? You know, the one with dark skin. He makes all these obstacles more transparent and is closer to his people.
r	MORE1	TRANSPARENT1	$GEST-OFF^	CLOSE-BY1^*	$INIT-CIRCLE1^*
l		TRANSPARENT1	$GEST-OFF^	CLOSE-BY1^*		$INDEX2
m	mehr	transparent			obama
Göttingen \| dgskorpus_goe_08 \| 18-30f Like this one university that’s supposed to be in south Germany near Bad-Kreuznach.
r	$INDEX1	TO-BATH1B	CROSS2A*	CLOSE-BY1^*	UNIVERSITY1
l		TO-BATH1B		CLOSE-BY1^*
m	…	bad kreuznach			uni
Bremen \| dgskorpus_hb_01 \| 31-45m That is why I felt quite comfortable in Essen.
r		$INDEX1*	ESSEN-CITY1	CLOSE-BY1^*	BODY1^*
l				CLOSE-BY1^*	BODY1^*
m		essen		[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f In your class or in your parallel class?
r				CLOSE-BY1^*	OR4A	OUTDOORS1B^	YOU1*
l				CLOSE-BY1^*	OR4A	OUTDOORS1B^
m				klasse	oder	parallelklasse
Köln (Cologne) \| dgskorpus_koe_07 \| 61+m Different volumes and pitches were tested, but I heard nothing.
r			I2	CLOSE-BY1^*	LOUD1A*	LIKE4B*	I1*
l						LIKE4B*
m					laut	wie	ja
Leipzig \| dgskorpus_lei_12 \| 61+m We then had a child.
r			CROSS1A^	CLOSE-BY1^*	CHILD2	BIRTH2*
l			CROSS1A^	CLOSE-BY1^*		BIRTH2*
m			dann		kind
München (Munich) \| dgskorpus_mue_01 \| 61+f Close to Bad Tölz on the Isar river.
r				CLOSE-BY1^*	RIVER2*
l		AT-OR-ON1A	OFF-OR-AWAY1^*	CLOSE-BY1^*	RIVER2*
m		bei	tölz	[MG]	isar
München (Munich) \| dgskorpus_mue_03 \| 46-60m I was standing in front of my mother’s work place wanting to wait until she was done working.
r	QUOTATION-MARKS1*	I1	TO-WAIT1A	CLOSE-BY1^*	MUM3	TO-WORK2	TO-WAIT1A
l	QUOTATION-MARKS1*			CLOSE-BY1^*		TO-WORK2
m	[MG]	ich	warten		mama	arbeit	warten
München (Munich) \| dgskorpus_mue_03 \| 46-60m I was happy that this cold divide was finally gone and that East and West Berlin were free and united again.
r		I2*	HAPPY1	CLOSE-BY1^*	COLD1	BORDER1C	TO-REMOVE1A
l			HAPPY1	CLOSE-BY1^*	COLD1	BORDER1C
m			froh	ende	kalte	grenze	weg
München (Munich) \| dgskorpus_mue_03 \| 46-60m I had cyanosis.
r			ATTENTION1*	CLOSE-BY1^*	BLUE16*
l				CLOSE-BY1^*
m				wegen	blausucht
München (Munich) \| dgskorpus_mue_04 \| 18-30f It really depends on the expenses whether you go on vacation close to home or if you travel further.
r	LET-US-SEE1	ALSO1A	TO-COST2	CLOSE-BY1^*	$INDEX1*	OR5	NOT3A
l				CLOSE-BY1^*		OR5
m	[MG]	auch	kosten	[MG]	oder		nicht
München (Munich) \| dgskorpus_mue_07 \| 18-30m Austria isn’t far, and then one is already in Italy and can go swimming in the Lake Garda.
r			AUSTRIA1*	CLOSE-BY1^*	THERE1*		CLOSE-BY1A
l			AUSTRIA1*	CLOSE-BY1^*		$GEST-OFF^*	CLOSE-BY1A
m			österreich				nähe
München (Munich) \| dgskorpus_mue_07 \| 18-30m Austria isn’t far, and then one is already in Italy and can go swimming in the Lake Garda.
r	TO-SWIM1*		BUT1*	CLOSE-BY1^*		LAKE5
l	TO-SWIM1*	$GEST-OFF^*		CLOSE-BY1^*	$ALPHA1:G-A	LAKE5
m	schwimmen				gardasee
München (Munich) \| dgskorpus_mue_07 \| 18-30m … the Augustiner beer garden close to central station.
r	AUGUSTINIAN1		GARDEN2	CLOSE-BY1^*
l	AUGUSTINIAN1	WITH1A*	GARDEN2	CLOSE-BY1^*	$MORPH-MAIN1B	TRAIN-STATION7*	$INDEX1
m	augustiner	mit	garten		hauptbahnhof
München (Munich) \| dgskorpus_mue_09 \| 61+f And then you have to do everything in a rush because you're behind on your work.
r		$GEST^	$INDEX1	CLOSE-BY1^*	TO-ORGANISE2A^*	ROW1^*
l		$GEST^		CLOSE-BY1^*	TO-ORGANISE2A^*	ROW1^*
m		[MG]	[MG]	[MG]	[MG]	[MG]
Rostock \| dgskorpus_mvp_03 \| 18-30m On the one hand, there was the Stasi and the cruelties; on the other hand, I can remember some wonderful adventures.
r	AND-SO-ON5	AREA1A^*	$INDEX1	CLOSE-BY1^*	BEAUTIFUL1A	ADVENTURE1
l	AND-SO-ON5		$INDEX1	CLOSE-BY1^*		ADVENTURE1
m	…		aber		schön	abenteuer
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m It was located right next to the Bremen stadium.
r	CLOSE-BY1B*	WERDER-BREMEN1	STADIUM1	CLOSE-BY1^*
l	CLOSE-BY1B*		STADIUM1	CLOSE-BY1^*
m	[MG]	werder bremen	stadion
Nürnberg (Nuremberg) \| dgskorpus_nue_07 \| 31-45m I slept at the boarding school, in the Haydnstraße.
r			I2*	CLOSE-BY1^*	BOARDING-SCHOOL2*	STREET2*
l				CLOSE-BY1^*	BOARDING-SCHOOL2*	STREET2*	I1
m			[MG]		internat	haydnstraße
Schleswig-Holstein \| dgskorpus_sh_03 \| 46-60f It was close to the beach near (#Ortsname), the party was on the beach. Amazing.
r	$INDEX1	ON-OR-AT1	TO-TOUCH1A^	CLOSE-BY1^*	AREA1E^	$INDEX-ORAL1	HIGH-RISE1^
l			TO-TOUCH1A^	CLOSE-BY1^*	AREA1E^		HIGH-RISE1^
m		am	strand		??
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m If you don’t know it, it’s really special and interesting.
r		DONT-KNOW-STH-OR-SB1*	WEIRD1^	CLOSE-BY1^*	INTEREST1B
l			WEIRD1^	CLOSE-BY1^*
m		kennen		[MG]
Stuttgart \| dgskorpus_stu_04 \| 61+f Wilhelmsdorf near Ravensburg.
r				CLOSE-BY1^*	CLOSE-BY1B*	$INDEX1
l				CLOSE-BY1^*
m				wilhelm{sdorf}	ravensburg
Stuttgart \| dgskorpus_stu_16 \| 31-45f If I don't live long, everything works out money wise.
r				CLOSE-BY1^*	RIGHT-OR-AGREED2*
l				CLOSE-BY1^*	RIGHT-OR-AGREED2*
m				[MG]	stimmt
= CLOSE-BY1A
Berlin \| dgskorpus_ber_14 \| 18-30f It's close to Stendal.
r		CLOSE-BY1B*	STENDAL1*	CLOSE-BY1A
l		CLOSE-BY1B*		CLOSE-BY1A
m		[MG]	stendal	[MG]
Berlin \| dgskorpus_ber_14 \| 18-30f I am from Tangerhütte which is also close by the river; really, it's nearby.
r			$ALPHA1:T_2	CLOSE-BY1A			CLOSE-BY1B*
l	ALSO1A	I1		CLOSE-BY1A	TO2^*	AND2A*	CLOSE-BY1B*
m	auch		tangerhütte	nähe	nah	und	nähe
Berlin \| dgskorpus_ber_14 \| 18-30f My family also lives close to Dresden.
r	I2	FAMILY4	ALSO1A*	CLOSE-BY1A	DRESDEN1	CLOSE-BY1A	ALSO1A*
l		FAMILY4		CLOSE-BY1A		CLOSE-BY1A
m	mein	familie	auch	nah	dresden		auch
Berlin \| dgskorpus_ber_14 \| 18-30f My family also lives close to Dresden.
r	ALSO1A*	CLOSE-BY1A	DRESDEN1	CLOSE-BY1A	ALSO1A*
l		CLOSE-BY1A		CLOSE-BY1A
m	auch	nah	dresden		auch
Frankfurt \| dgskorpus_fra_02 \| 31-45m What I find interesting as well is that ASL is more similar to its spoken equivalent.
r	$INDEX1*	ASL1*	$INDEX1*	CLOSE-BY1A		WORD3*
l	$INDEX1*			CLOSE-BY1A	HEARING1A	WORD3*	BIT2A*
m		a-s-l		nah	hören		bisschen
Frankfurt \| dgskorpus_fra_02 \| 31-45m What I find interesting as well is that ASL is more similar to its spoken equivalent.
r		WORD3*		CLOSE-BY1A	BOTH1*
l	HEARING1A	WORD3*	BIT2A*	CLOSE-BY1A	$NUM-ONE-TO-TEN1A:2*
m	hören		bisschen	nah
Frankfurt \| dgskorpus_fra_06 \| 31-45f Then, finally, it was time to go to school.
r				CLOSE-BY1A	MOTIVATION1	THERE1*
l				CLOSE-BY1A	MOTIVATION1
m				nahe
Frankfurt \| dgskorpus_fra_06 \| 31-45f In the bar, someone pointed Puttrich out to me.
r				CLOSE-BY1A	BAR7	$PROD	AREA1A^*
l				CLOSE-BY1A		$PROD
m					bar
Frankfurt \| dgskorpus_fra_07 \| 18-30m Because my father lived close, I sent him a text asking him to drop by.
r				CLOSE-BY1A	FROM-TO3*
l		FATHER1*	TO-SEND-OR-TO-DISPATCH2	CLOSE-BY1A		I1	TO-SEND-OR-TO-DISPATCH2*
m		vater		[MG]
Frankfurt \| dgskorpus_fra_10 \| 61+f Just around the corner.
r			I2	CLOSE-BY1A	$GEST-OFF^*
l				CLOSE-BY1A
m
Frankfurt \| dgskorpus_fra_13 \| 61+m It‘s also close by my family home.
r	BUT1*	ALSO3A*	I1*	CLOSE-BY1A		$GEST-OFF^
l	BUT1*	ALSO3A*	I1*	CLOSE-BY1A	FAR1	$GEST-OFF^	$INDEX1
m	aber	auch		[MG]	nicht so weit
Göttingen \| dgskorpus_goe_06 \| 31-45f The specialty from Brunswick or the Harz mountains area is kale or brown kale.
r	AREA1A^*	SPECIAL1*	HIS-HER1*	CLOSE-BY1A	AREA1A^	HARZ-MOUNTAINS2	AREA1A^*
l				CLOSE-BY1A
m	…	speziell				harz
Göttingen \| dgskorpus_goe_07 \| 18-30m “I’m asking because you didn’t react when I waved at you.”
r		I2	REASON4B	CLOSE-BY1A	TO-SIT1A*	TO-WAVE1	NONE8
l			REASON4B	CLOSE-BY1A
m				[MG]	[MG]		[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f There’s also something interesting close to where I live.
r	MY1*	I1*	APARTMENT1A	CLOSE-BY1A	UNDER1A^	INTEREST1A	AREA1A^
l				CLOSE-BY1A
m		ich	wohnen	[MG]		[MG]	was
Hamburg \| dgskorpus_hh_08 \| 46-60f For example what you just proposed could also be interesting.
r		$INDEX1	TO-GIVE2^	CLOSE-BY1A	AREA1A		$INDEX1
l			TO-GIVE2^	CLOSE-BY1A		GOOD1*
m		beisp{iel}		wohn			da
Hamburg \| dgskorpus_hh_08 \| 46-60f #Your home region is Name1 is more interesting than mine. #In my neighborhood in Name2 there’s only a school for deaf children.
r		$NAME	EASY-OR-LIGHT1^	CLOSE-BY1A	DEAF1A*	SCHOOL1B	I2*
l	I1	$NAME	EASY-OR-LIGHT1^	CLOSE-BY1A		SCHOOL1B
m		#name2		[MG]	gehör{los}	schule
Hamburg \| dgskorpus_hh_08 \| 46-60f It was my son who explained to me that the well isn’t right there, but a bit further away.
r	TO-SAY1	$INDEX1	RIVER1^*	CLOSE-BY1A	AREA1B	NO1A	OUTDOORS1B^*
l				CLOSE-BY1A	AREA1B		OUTDOORS1B^*
m	sagt		quelle	[MG]	bismarck		außerhalb
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f There also is a repair workshop for steam locomotives.
r				CLOSE-BY1A	$INDEX1	OLD2C	TIME7A*
l				CLOSE-BY1A			TIME7A*
m				nähe	gibt	alte	zeit
Köln (Cologne) \| dgskorpus_koe_04 \| 18-30f Her parents live close to Frankfurt.
r	PARENTS1A	APARTMENT1A	FRANKFURT1	CLOSE-BY1A
l	PARENTS1A		FRANKFURT1	CLOSE-BY1A	IN1
m	eltern	wohnt	frankfurt
Köln (Cologne) \| dgskorpus_koe_08 \| 31-45m As you know the doctor is right around the corner.
r		I1	TO-KNOW-OR-KNOWLEDGE2A	CLOSE-BY1A	ROUND-THE-CORNER1*	PHYSICIAN1	$INDEX1
l				CLOSE-BY1A		PHYSICIAN1
m		weiß		[MG]		arzt
Köln (Cologne) \| dgskorpus_koe_11 \| 31-45f I eventually moved closer to Cologne.
r	I2*	TO-MOVE1*	COLOGNE3*	CLOSE-BY1A
l		TO-MOVE1*		CLOSE-BY1A
m			köln
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Visit the area of the train station.
r	CLOSE-BY1A*	TRAIN-STATION5*	$INDEX2	CLOSE-BY1A	TO-VISIT1*
l	CLOSE-BY1A*	TRAIN-STATION5*		CLOSE-BY1A
m	nahe	bahnhof			[MG]
Leipzig \| dgskorpus_lei_03 \| 18-30m It is north of the Niagara Falls.
r				CLOSE-BY1A	$PROD
l			$INDEX1	CLOSE-BY1A	$PROD	$ALPHA1:N-I-A-G-#-A	WATER1
m				[MG]	[MG]	niag{a}ra	wasserfall
Leipzig \| dgskorpus_lei_12 \| 61+m It was a deaf-blind boy who lived nearby my place.
r	LAD7	SMALL5	APARTMENT1B	CLOSE-BY1A	I1*	$INDEX1*
l				CLOSE-BY1A
m	bub		wohnt	[MG]
Leipzig \| dgskorpus_lei_15 \| 18-30f She asked how the apartment was or rather how the house was. Was it flooded as well since we were living close to the river Elbe?
r	$ORAL^	WE1B*	APARTMENT5	CLOSE-BY1A	NARROW1A^*
l	$ORAL^		APARTMENT5	CLOSE-BY1A	NARROW1A^*
m	weil	wir	wohnen	[MG]	elbe
Münster \| dgskorpus_mst_02 \| 18-30f It’s red, really close by.
r				CLOSE-BY1A
l			RED1A	CLOSE-BY1A
m			rot
Münster \| dgskorpus_mst_14 \| 18-30m They’re short lines.
r				CLOSE-BY1A	BACK-AND-FORTH1*	$INDEX1
l				CLOSE-BY1A	BACK-AND-FORTH1*
m				[MG]
Münster \| dgskorpus_mst_14 \| 18-30m It depends on whether or not I have a family of my own and if they live nearby.
r	DEPENDENT3*	I2	FAMILY1	CLOSE-BY1A	I2	CLOSE-BY1A*
l	DEPENDENT3*		FAMILY1	CLOSE-BY1A		CLOSE-BY1A*
m	abhängig		familie		ich	nahe
München (Munich) \| dgskorpus_mue_07 \| 18-30m Austria isn’t far, and then one is already in Italy and can go swimming in the Lake Garda.
r	CLOSE-BY1^*	THERE1*		CLOSE-BY1A		TO-DRIVE3*	TO-SWIM1*
l	CLOSE-BY1^*		$GEST-OFF^*	CLOSE-BY1A	ITALY1*	TO-DRIVE3*	TO-SWIM1*
m	…			nähe	italien	fahr	schwimmen
München (Munich) \| dgskorpus_mue_07 \| 18-30m That’s close to Füssen.
r			$NAME	CLOSE-BY1A
l			$NAME	CLOSE-BY1A	$INDEX1
m			füssen
München (Munich) \| dgskorpus_mue_07 \| 18-30m A smaller one is by the Michaelibad [indoor swimming pool].
r		$NAME	TO-BATH1B*	CLOSE-BY1A
l	$GEST-TO-PONDER1^	$NAME	TO-BATH1B*	CLOSE-BY1A	$INDEX1
m		micha{eli}	bad
München (Munich) \| dgskorpus_mue_13 \| 46-60m I just tell them that I’m from Munich and that I was born in Bavaria.
r	IN1	GERMAN1*	MUNICH1A*	CLOSE-BY1A	RIGHT-OR-AGREED1^*
l				CLOSE-BY1A	RIGHT-OR-AGREED1^*
m	in	deutschland	münchen
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m I live very close to the border of the Czech Republic.
r			ATTENTION1A^	CLOSE-BY1A	BORDER1B*	CZECH-REPUBLIC1	I2
l				CLOSE-BY1A	BORDER1B*
m			[MG]	[MG]	grenz	tschechien
Nürnberg (Nuremberg) \| dgskorpus_nue_07 \| 31-45m It’s close to one another, I could always walk back and forth.
r				CLOSE-BY1A		BACK-AND-FORTH1^	$GEST-OFF^
l				CLOSE-BY1A	I1	BACK-AND-FORTH1^	$GEST-OFF^
m				[MG]
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m That’s no problem, because everything is close by and it’s very beautiful there.
r			NONE7	CLOSE-BY1A	$INDEX1	BEAUTIFUL1A
l				CLOSE-BY1A
m			[MG]	problem		schön
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Nordstrand, that’s just around the corner.
r			$GEST-NM-NOD-HEAD1^	CLOSE-BY1A	ROUND3A^
l			$GEST-NM-NOD-HEAD1^	CLOSE-BY1A
m			nordstrand
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Usually in the villages in the surrounding areas, that’s really well-known.
r	MOST1A*	VILLAGE3*		CLOSE-BY1A	WELL-KNOWN1A		SOMEWHERE1^
l			TO-PUT-FROM-TO1B^*	CLOSE-BY1A	WELL-KNOWN1A	LOCATION1A^*
m	meist	dörfer		nah	bekannt
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m It’s close to the border to Denmark, right?
r				CLOSE-BY1A	BORDER1A*	DENMARK1*	$INDEX1
l				CLOSE-BY1A	BORDER1A*
m					grenze	dänemark
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m It’s close to my workplace.
r				CLOSE-BY1A	TO-WORK1*	$PROD
l				CLOSE-BY1A	TO-WORK1*	$PROD
m				nah	arbeit
Stuttgart \| dgskorpus_stu_09 \| 18-30m However, they told me that I might have a chance in Bavaria, in Nuremberg, and that it wasn‘t too far from home. So they would try and call there.
r	BAVARIA1*	NUREMBERG1B*	I2	CLOSE-BY1A	CHANCE1	$INDEX1	LET-US-SEE1
l		NUREMBERG1B*		CLOSE-BY1A
m	bayern	nürnberg		[MG]	chance		[MG]
Berlin \| dgskorpus_ber_01 \| 18-30m Yes, he does. He lives in the Frankfurt area. Not right in the city, but close to it.
r	$INDEX1*	FRANKFURT1*	SURROUNDING1A	CLOSE-BY1A*	NOT3A	CLOSE-BY1A*	BEYOND1*
l		FRANKFURT1*		CLOSE-BY1A*		CLOSE-BY1A*
m		frankfurt		[MG]		[MG]	außerhalb
Berlin \| dgskorpus_ber_01 \| 18-30m Yes, he does. He lives in the Frankfurt area. Not right in the city, but close to it.
r	SURROUNDING1A	CLOSE-BY1A*	NOT3A	CLOSE-BY1A*	BEYOND1*	FRANKFURT1*	$GEST-DECLINE1^*
l		CLOSE-BY1A*		CLOSE-BY1A*		FRANKFURT1*
m		[MG]		[MG]	außerhalb	frankfurt	gut
Berlin \| dgskorpus_ber_11 \| 61+m So, it was in Hiroshima, really close to where the bomb was dropped.
r	NUCLEAR1	$ALPHA1:H	NUCLEAR1	CLOSE-BY1A*	$INDEX1
l				CLOSE-BY1A*
m		hiroshima	atom	nähe
Frankfurt \| dgskorpus_fra_01 \| 18-30m Hotels were destroyed and all the cities near the sea, as well.
r	TO-DESTROY1		CITY2*	CLOSE-BY1A*	OCEAN2A*	TO-DESTROY1
l	TO-DESTROY1	ALL1A*	CITY2*	CLOSE-BY1A*	OCEAN2A*	TO-DESTROY1
m	[MG]	alle	stadt stadt	[MG]	meer	[MG]
Frankfurt \| dgskorpus_fra_09 \| 31-45m Then, it is my responsibility to pay for the travelling expenses and to choose an interpreter that lives close or far away.
r	TO-COST1*	TO2*	FAR-FAR-AWAY1	CLOSE-BY1A*
l	TO-COST1*			CLOSE-BY1A*
m	…		[MG]	[MG]
Frankfurt \| dgskorpus_fra_13 \| 61+m He lived so close to me that we always greeted one another.
r				CLOSE-BY1A*	TO-LET1^*		TO-GREET2
l			I1*	CLOSE-BY1A*	TO-LET1^*	TO-GREET2
m				[MG]	oft
Frankfurt \| dgskorpus_fra_13 \| 61+m He lived so close to me that we always greeted one another.
r		TO-GREET2		CLOSE-BY1A*		$GEST-OFF^	OKAY3*
l	TO-GREET2		I2	CLOSE-BY1A*	TO-WAVE1	$GEST-OFF^	OKAY3*
m			wohn	nah			okay
Frankfurt \| dgskorpus_fra_13 \| 61+m That’s really famous; it‘s a delicacy from Deidesheim.
r			ROUND4B^	CLOSE-BY1A*
l		WELL-KNOWN4*	ROUND4B^	CLOSE-BY1A*	$ALPHA1:D-#
m		bekannt		[MG]	deidesheim
Frankfurt \| dgskorpus_fra_13 \| 61+m It’s in proximity.
r				CLOSE-BY1A*	$GEST-OFF^
l				CLOSE-BY1A*	$GEST-OFF^
m				[MG]	eben
Bremen \| dgskorpus_hb_01 \| 31-45m I couldn't stay, I had to go home.
r			I1*	CLOSE-BY1A*	CAN1*	I1	BACK-AND-FORTH1^*
l				CLOSE-BY1A*	CAN1*		BACK-AND-FORTH1^*
m			ich		[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f I didn’t know that there is a slaughterhouse close to the TV tower.
r	$INDEX1	TELEVISION1B*	$INDEX1	CLOSE-BY1A*	DOWN1	SLAUGHTER1	DONT-KNOW2*
l				CLOSE-BY1A*
m		fernsehturm		[MG]		schlachter	[MG]
Hamburg \| dgskorpus_hh_08 \| 46-60f But they do not get the water right there. It is a little further away.
r		$ORAL^	$INDEX1*	CLOSE-BY1A*	AREA1C^*	CLOSE-BY1B*	$ALPHA1:B*
l		$ORAL^	$INDEX1*	CLOSE-BY1A*	AREA1C^*	CLOSE-BY1B*
m		aber	quelle		[MG]		bismarck
Köln (Cologne) \| dgskorpus_koe_04 \| 18-30f He’s from close to Dortmund.
r				CLOSE-BY1A*		DORTMUND1
l				CLOSE-BY1A*	SOMEWHERE1*
m				[MG]	[MG]	dortmund
Köln (Cologne) \| dgskorpus_koe_08 \| 31-45m On farms they grow them naturally, you’re right.
r	WHAT1A^*	NATURE6A*	TO-BELONG1*	CLOSE-BY1A*	FARMER1*	RIGHT-OR-AGREED1A*
l	WHAT1A^*	NATURE6A*		CLOSE-BY1A*
m	[MG]	natur		[MG]	bauer
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I live directly in the city but also close to the city boundary.
r	AREA1A^*	BORDER1A	ALSO3A	CLOSE-BY1A*
l		BORDER1A		CLOSE-BY1A*
m		grenze	auch	[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Visit the area of the train station.
r				CLOSE-BY1A*	TRAIN-STATION5*	$INDEX2	CLOSE-BY1A
l				CLOSE-BY1A*	TRAIN-STATION5*		CLOSE-BY1A
m				nahe	bahnhof
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m And towards the Rhine where it was really windy.
r				CLOSE-BY1A*	WATER1*		$PROD
l				CLOSE-BY1A*		RIVER1^	$PROD
m				nah	wasser		[MG]
Münster \| dgskorpus_mst_02 \| 18-30f From where I live, you have to walk up a hill and there it is.
r				CLOSE-BY1A*	I1	APARTMENT5*
l				CLOSE-BY1A*		APARTMENT5*	TO-RUN8*
m				[MG]	ich	wohne	läuft
Münster \| dgskorpus_mst_06 \| 31-45m When the deadline is already close ahead and the location needs to be switched last minute , how would that work?
r				CLOSE-BY1A*	TO-DROP-OR-TO-GIVE-UP8*	TO-SWAP3A	AND-THEN2*
l				CLOSE-BY1A*	TO-DROP-OR-TO-GIVE-UP8*	TO-SWAP3A	AND-THEN2*
m							und
Münster \| dgskorpus_mst_12 \| 31-45m A close island is always a problem, as it just gets flooded.
r				CLOSE-BY1A*	OCEAN1B*	ISLAND2	ALWAYS4A*
l				CLOSE-BY1A*	OCEAN1B*		ALWAYS4A*
m				nah	meer	insel	immer
Münster \| dgskorpus_mst_14 \| 18-30m It depends on whether or not I have a family of my own and if they live nearby.
r	FAMILY1	CLOSE-BY1A	I2	CLOSE-BY1A*
l	FAMILY1	CLOSE-BY1A		CLOSE-BY1A*
m	familie		ich	nahe
München (Munich) \| dgskorpus_mue_04 \| 18-30f One thing that I really loved and which I would love to repeat with my family — even though I'm almost 20 now — is: going to Disneyland together.
r	OLD3	CLOSE-BY2A	$NUM-TENS2A:2d	CLOSE-BY1A*	TO-GO-THERE1	I2^*	DISNEY1*
l		CLOSE-BY2A		CLOSE-BY1A*			DISNEY1*
m	alt	nahe	zwanzig				disneyland
München (Munich) \| dgskorpus_mue_07 \| 18-30m Just around the corner, in the cosmopolitan city with heart.
r			LIKE3A*	CLOSE-BY1A*	WORLD1	CITY2	WITH1A*
l			LIKE3A*	CLOSE-BY1A*	WORLD1	CITY2	WITH1A*
m			wie	nah	weltstadt		mit
Rostock \| dgskorpus_mvp_01 \| 18-30m They don't need to take the tram. One can get there really fast.
r		TO-DRIVE1*		CLOSE-BY1A*	SHORT3A*
l	STREETCAR2A	TO-DRIVE1*	TO-NEED1*	CLOSE-BY1A*	SHORT3A*
m	straß{en}bahn	fahren	braucht nicht	kurz
Rostock \| dgskorpus_mvp_07 \| 31-45f We took the boat from Dömitz and drove to the other side and went shopping there.
r				CLOSE-BY1A*		$INDEX1*	SHIP1
l				CLOSE-BY1A*	$ALPHA1:D		SHIP1
m				[MG]	dömitz		schiff
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m Selb is located between mountains, so to speak in this U shape.
r			$INDEX1*	CLOSE-BY1A*	IN1	$PROD	$INDEX-ORAL1
l			$INDEX1*	CLOSE-BY1A*	$INDEX1	$PROD
m			in selb	[MG]	in	u	u
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f It’s in close proximity to Switzerland, isn’t it?
r				CLOSE-BY1A*	SWITZERLAND1A*
l				CLOSE-BY1A*
m				[MG]	schweiz schweiz schweiz schweiz
Nürnberg (Nuremberg) \| dgskorpus_nue_07 \| 31-45m The Haydnstraße is directly next to the Oktoberfest.
r		STREET1*		CLOSE-BY1A*	OKTOBERFEST1	BACK-AND-FORTH1^*
l	$INIT-STRAIGHT1^*	STREET1*	I1*	CLOSE-BY1A*	OKTOBERFEST1	BACK-AND-FORTH1^*
m	haydnstraße		[MG]	nah	oktoberfest
Nürnberg (Nuremberg) \| dgskorpus_nue_09 \| 18-30m Before, I always thought Taiwan and Thailand were close, but they're really far away from each other.
r	TO-KNOW-OR-KNOWLEDGE2B^	TAIPEI1^*	THAILAND1	CLOSE-BY1A*	$INDEX1	SERIOUS1A	GAP-OR-DISTANCE4*
l		TAIPEI1^*		CLOSE-BY1A*			GAP-OR-DISTANCE4*
m		taiwan	thailand	nah			[MG]
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m From Australia, Turkey, Italy, Austria, Denmark, that’s really close by.
r	AUSTRIA1	$GEST-OFF^	DENMARK1	CLOSE-BY1A*
l	AUSTRIA1	$GEST-OFF^		CLOSE-BY1A*
m	österreich		dänemark	nah
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m I live close to the canal.
r			APARTMENT1B*	CLOSE-BY1A*	I1*	CLOSE-BY1A*	$PROD
l				CLOSE-BY1A*		CLOSE-BY1A*	$PROD
m			wohn	ganz nah		nah
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m I live close to the canal.
r	APARTMENT1B*	CLOSE-BY1A*	I1*	CLOSE-BY1A*	$PROD
l		CLOSE-BY1A*		CLOSE-BY1A*	$PROD
m	wohn	ganz nah		nah
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m On the other side, right by the council houses, you can get the famous Pharisäer Kaffee [Literally: Pharisee Coffee, similar to Irish Coffee].
r				CLOSE-BY1A*	SOCIAL1A	APARTMENT1B	SOCIAL1A
l				CLOSE-BY1A*
m				nah	soz{ial}wohnung		soz{ial}
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m On the other side, right by the council houses, you can get the famous Pharisäer Kaffee [Literally: Pharisee Coffee, similar to Irish Coffee].
r	SOCIAL1A	APARTMENT1B	SOCIAL1A	CLOSE-BY1A*	$INDEX1*		I1*
l				CLOSE-BY1A*		ROUND-THE-CORNER1*
m	soz{ial}wohnung		soz{ial}	nah			ich
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m You can usually get them in close proximity to the beach.
r		MOST1A	MOST1A	CLOSE-BY1A*	POWDER1B^*	$INDEX1*
l				CLOSE-BY1A*
m		meist	meist	nah	strand
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m On the well known beaches where there’s a lot going on.
r			MOST1A	CLOSE-BY1A*	WELL-KNOWN1A	TO-TOUCH1A^*	$PROD
l				CLOSE-BY1A*	WELL-KNOWN1A	TO-TOUCH1A^*	$PROD
m			meist		bekannt	strand	[MG]
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Close to Denmark, just by the border, there’s a famous, traditional - how can I put this - sexual business.
r				CLOSE-BY1A*	DENMARK1*	BORDER1B*	TRADITION3*
l				CLOSE-BY1A*		BORDER1B*	TRADITION3*
m				nähe	dänemark	grenze	traditionell
Stuttgart \| dgskorpus_stu_03 \| 31-45m A hearing person can go to a nightclub or a bar around the corner and talk to other people there.
r	CAN1	TO-DANCE5*	PRESENT-OR-HERE1	CLOSE-BY1A*	ROUND-THE-CORNER2*	PRESENT-OR-HERE1	TO-DRINK-FINE1^
l		TO-DANCE5*		CLOSE-BY1A*
m	kann	disco	da	[MG]	um die e{cke}	da	kneipe
Stuttgart \| dgskorpus_stu_04 \| 61+f I always went swimming in a nearby creek.
r				CLOSE-BY1A*	PARALLEL1A^*	DOWN1	$INDEX1
l				CLOSE-BY1A*	PARALLEL1A^*
m				nah	bach	auch	da
Stuttgart \| dgskorpus_stu_09 \| 18-30m But only for this short distance? That would have been rubbish.
r			I2	CLOSE-BY1A*	BACK-AND-FORTH1*	$GEST^	RUBBISH1
l				CLOSE-BY1A*	BACK-AND-FORTH1*	$GEST^
m						[MG]	schmarrn
~ AT-OR-ON1A
München (Munich) \| dgskorpus_mue_01 \| 61+f Close to Bad Tölz on the Isar river.
r						CLOSE-BY1^*	RIVER2*
l				AT-OR-ON1A	OFF-OR-AWAY1^*	CLOSE-BY1^*	RIVER2*
m				bei	tölz	[MG]	isar
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m And there has been a similar earthquake just off the coast of Haiti recently, near the US.
r	LIKE3A*	EGG6A	LAKE1B*	AT-OR-ON1A	USA2*	LIKE3A*
l	LIKE3A*		LAKE1B*		USA2*	LIKE3A*
m	wie	haiti		bei	usa
Schleswig-Holstein \| dgskorpus_sh_06 \| 31-45f I saw it, I went there, to Ratzeburg close to Lübeck.
r	I1	TO-DRIVE3*	TO-RAKE1A^*	AT-OR-ON1A	LÜBECK1A
l		TO-DRIVE3*
m	…		ratzeburg	bei	lübeck
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m North of Hamburg lies the town of Ahrensburg.
r			$CUED-SPEECH*	AT-OR-ON1A	HAMBURG1	$INDEX1*	$PROD
l					LOCATION3*		$PROD
m			ahrens{burg}	bei	hamburg		oben
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m There’s a bridge in Wassersleben by Flensburg.
r	BRIDGE1B	WATER1*	TO-LIVE1A	AT-OR-ON1A	TO-LIE1^	$INDEX1
l	BRIDGE1B		TO-LIVE1A
m	brücke	wasser{s}leben		bei	flensburg
Berlin \| dgskorpus_ber_04 \| 46-60m The 4x400 meters relay race was held during the half time break at the final soccer match.
r				AT-OR-ON1A*	I1*	TIMES3*	$NUM-HUNDREDS1:4
l
m				bei		viermal	vierhundert
Berlin \| dgskorpus_ber_04 \| 46-60m I also won the German Soccer Championship with the Comet club once.
r	AFTERWARDS1A^*	$NUM-ONE-TO-TEN1A:1d	FOOTBALL1A*	AT-OR-ON1A*	$NAME-COMET1	$NUM-ONE-TO-TEN1A:1d	GERMAN1
l			FOOTBALL1A*
m	und	auch	fußball	bei	comet	einmal	deutsch meister
Berlin \| dgskorpus_ber_04 \| 46-60m By the way: I'm a loyal employee to the company I work at.
r	I1	FAITHFUL1*	TO-WORK2*	AT-OR-ON1A*
l		FAITHFUL1*	TO-WORK2*
m	…	treu	arbeiten	bei
Berlin \| dgskorpus_ber_13 \| 31-45f I/
r			I1*	AT-OR-ON1A*
l
m
Berlin \| dgskorpus_ber_14 \| 18-30f I was very lucky that nothing happened to me. I was very relieved.
r		I1	LUCKY-YOU2	AT-OR-ON1A*	I1*	NOT3B	WELL1
l			LUCKY-YOU2			NOT3B
m		bin	glück	bei	mir	nicht	wohl
Frankfurt \| dgskorpus_fra_04 \| 61+m I am the only deaf person in my family.
r			I1*			FAMILY4*
l		AND5		AT-OR-ON1A*	MY1	FAMILY4*	I1
m		und		bei	mein	familie
Frankfurt \| dgskorpus_fra_13 \| 61+m I live in Neuhofen, close to Ludwigshafen.
r	AND2A	I1	$INDEX1*	AT-OR-ON1A*	APARTMENT5*	NEW1A^	I2
l	AND2A	$NUM-ONE-TO-TEN1A:2d			APARTMENT5*	NEW1A^
m	und dann	ich	da	bei mir	wohne	neuhofen
Frankfurt \| dgskorpus_fra_13 \| 61+m You and I, the two of us, we experience that a lot, when going to different events.
r	I1	BOTH2A*	TO-SEE1	AT-OR-ON1A*	EVENT1	THIS-AND-THAT1^	TO-VISIT-OR-TO-ATTEND1A*
l					EVENT1	THIS-AND-THAT1^	TO-VISIT-OR-TO-ATTEND1A*
m	ich		sehen	beim	veranstaltung	egal	besuch
Göttingen \| dgskorpus_goe_02 \| 61+m Yes! I know a deaf person in #Name1 who works at a company that produces cigarettes and he got a car as a gift, a company car to drive back and forth.
r	DEAF1A*	TO-WORK2	COMPANY1B*	AT-OR-ON1A*	CIGARETTE1*	$INDEX1	TO-GIVE-PRESENT1*
l		TO-WORK2					TO-GIVE-PRESENT1*
m		arbeit	firma	bei
Göttingen \| dgskorpus_goe_03 \| 61+f I was at the birthday party of my/
r		I1*	BIRTHDAY9	AT-OR-ON1A*	MY1
l
m		auf	geburtstag	bei	meinen
Leipzig \| dgskorpus_lei_04 \| 46-60m No, in Erfurt.
r			NO1A	AT-OR-ON1A*	IN1	ERFURT1
l
m			nein		in	erfurt
Leipzig \| dgskorpus_lei_10 \| 31-45m Well, she used to go to school in Güstrow, then she moved to the Frankfurt area, to the west.
r	$INDEX1			AT-OR-ON1A*	FRANKFURT1		WEST1B
l		AFTERWARDS3	TO-MOVE1*		FRANKFURT1	WEST1A
m	…		umzieh	bei	frankfurt		west
Münster \| dgskorpus_mst_10 \| 46-60f Due to my believes, I seceded from the church.
r			I1*	AT-OR-ON1A*	I2*	SELF1A*	RELIGION1^*
l							RELIGION1^*
m			und ich	bei mir	ich	selbst	ki{rche}
Münster \| dgskorpus_mst_11 \| 61+m Speaking of alarms, I remember our foster mother.
r	$INDEX1	ALERT1*	I1	AT-OR-ON1A*	MOTHER1*	CARE1*	I1
l						CARE1*
m		alarm	ich	bei	pflegemutter
München (Munich) \| dgskorpus_mue_01 \| 61+f Oh right, Schäftlarn, close to/
r	$CUED-SPEECH*	$ALPHA1:#	$INDEX1	AT-OR-ON1A*	AREA1A^	AREA1A^*	ON1B^
l
m	…			bei
München (Munich) \| dgskorpus_mue_10 \| 31-45m I got work from the Caritas.
r	I1	WHAT1B*	IN1*	AT-OR-ON1A*	$ALPHA1:C
l		WHAT1B*				$INDEX1*
m	…		i{m}	beim	caritas
München (Munich) \| dgskorpus_mue_11 \| 31-45f He insisted he wanted to go to his wife.
r
l	TO-LET-KNOW1A	I1	TO-WANT8	AT-OR-ON1A*	WOMAN2C*	$INDEX1*
m			will		frau
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m It was in Haiti, which is close to the USA.
r		$CUED-SPEECH*	$ALPHA-SK:T	AT-OR-ON1A*	USA2		EARTHQUAKE1
l			$ALPHA-SK:T		USA2	IN-ADDITION1^	EARTHQUAKE1
m		haiti		bei	u-s-a		erdb{eben}
~ AT-OR-ON1B
Münster \| dgskorpus_mst_02 \| 18-30f It’s by the train station.
r				AT-OR-ON1B	MIDDLE2A^*	$INDEX1*
l				AT-OR-ON1B	MIDDLE2A^*
m				beim	bahnhof
~ AT-OR-ON1C
Berlin \| dgskorpus_ber_04 \| 46-60m In Neckargemünd close to Heidelberg.
r	NECKARGEMÜND1	$ALPHA1:G	$CUED-SPEECH^*	AT-OR-ON1C	HEIDELBERG1*	IN1*
l				AT-OR-ON1C	HEIDELBERG1*
m	neckargemünd			bei	heidelberg
Frankfurt \| dgskorpus_fra_12 \| 61+m We went to Buchenstadt near Posen.
r	TO-SAY1^	TO-OPEN-BOOK1^	CITY2	AT-OR-ON1C	$INDEX1*
l		TO-OPEN-BOOK1^	CITY2	AT-OR-ON1C	$INDEX1*
m	heißt	buchenstadt		bei	posen
Frankfurt \| dgskorpus_fra_12 \| 61+m So we moved to a place near Friedberg.
r	HENCE1*	I2	TO-MOVE2*	AT-OR-ON1C	$INDEX1*
l	HENCE1*			AT-OR-ON1C
m	deshalb		[MG]	bei	friedberg
Frankfurt \| dgskorpus_fra_13 \| 61+m I live in Neuhofen, close to Ludwigshafen.
r	APARTMENT5*	NEW1A^	I2	AT-OR-ON1C	LUDWIGSHAFEN1*
l	APARTMENT5*	NEW1A^		AT-OR-ON1C	LUDWIGSHAFEN1*
m	wohne	neuhofen		bei	ludwigshafen
Münster \| dgskorpus_mst_02 \| 18-30f Yes, that’s by the train station.
r				AT-OR-ON1C	MIDDLE2A^
l			$GEST-ATTENTION1^*	AT-OR-ON1C	MIDDLE2A^	$INDEX1*
m					bahnhof
Münster \| dgskorpus_mst_02 \| 18-30f The Otternbuschstraße [street name] is next to it.
r				AT-OR-ON1C			STREET1
l				AT-OR-ON1C	STREET1*	$ALPHA1:O	STREET1
m						otternbuschstraße
Münster \| dgskorpus_mst_02 \| 18-30f Directly next to the ice rink.
r				AT-OR-ON1C		ICE-SKATES1A*	NEXT-TO1B
l			$INDEX1	AT-OR-ON1C	$GEST-TO-PONDER1^*	ICE-SKATES1A*	NEXT-TO1B
m			da	[MG]		eislauf{bahn}
München (Munich) \| dgskorpus_mue_05 \| 61+f That’s Benedict’s home area, and he was born there in Marktl close to Burghausen.
r	IN1*	ARTICULATION1^*	$CUED-SPEECH*	AT-OR-ON1C	TO-STEP-PEDAL3^*	HOUSE1A	$INDEX-TO-SCREEN1*
l	IN1*			AT-OR-ON1C	TO-STEP-PEDAL3^*	HOUSE1A
m	in	marktl		bei	burghausen
München (Munich) \| dgskorpus_mue_10 \| 31-45m You know, close to Schrobenhausen.
r			TO-KNOW-OR-KNOWLEDGE2A*	AT-OR-ON1C	$ALPHA1:SCH*	HOUSE1A^*
l				AT-OR-ON1C		HOUSE1A^*	$INDEX1*
m					schrobenhausen
Stuttgart \| dgskorpus_stu_04 \| 61+f It’s near Waldshut, you know.
r		AT-OR-ON1C*	$GEST-ATTENTION1^	AT-OR-ON1C	UNTIL1^	$GEST-NM-NOD-HEAD1^
l		AT-OR-ON1C*		AT-OR-ON1C		$GEST-NM-NOD-HEAD1^
m		bei		bei	waldshut	bei waldshut
Stuttgart \| dgskorpus_stu_05 \| 61+m I went to school in Neckargemünd near Heidelberg.
r	SCHOOL1E	HEIDELBERG2*	NECKARGEMÜND1	AT-OR-ON1C	HEIDELBERG2	$$EXTRA-LING-ACT^
l				AT-OR-ON1C		$$EXTRA-LING-ACT^
m	schule	h{eidelberg}	neckargemünd	bei	heidelberg
Frankfurt \| dgskorpus_fra_12 \| 61+m When Kennedy was shot dead, my wife and I were somewhere near Wetzlar at one of her friends whom we had visited many times.
r	$INDEX1	APARTMENT1A*	$INDEX1	AT-OR-ON1C*	$INDEX1*
l				AT-OR-ON1C*
m		wohnen		bei	wetzlar
Frankfurt \| dgskorpus_fra_13 \| 61+m The factory was built close to the town of Oppau. One day, there was a huge explosion.
r		TOGETHER6*	BUILDING-OR-CONSTRUCTION1	AT-OR-ON1C*
l	$INDEX1	TOGETHER6*	BUILDING-OR-CONSTRUCTION1	AT-OR-ON1C*	$ALPHA1:O	LOCATION1A^	AREA1A^
m		zu nah	bauen	bei	oppau		ortsgemeinschaft
Köln (Cologne) \| dgskorpus_koe_13 \| 61+m There was my seat, by the window.
r	TO-SIT1A	$INDEX2*	WINDOW6	AT-OR-ON1C*	WINDOW6*
l	TO-SIT1A	$INDEX2*	WINDOW6	AT-OR-ON1C*	WINDOW6*
m	sitznummer			am	fenster
Köln (Cologne) \| dgskorpus_koe_13 \| 61+m I wanted a window seat.
r				AT-OR-ON1C*	WINDOW6
l		MY1	TO-WISH1A	AT-OR-ON1C*	WINDOW6
m		mein	wunsch	am	fenster
Münster \| dgskorpus_mst_02 \| 18-30f There’s a Subway directly by the train station.
r			CENTRE1A*	AT-OR-ON1C*
l			CENTRE1A*	AT-OR-ON1C*	$INDEX1*	SUBWAY-STORE-$CANDIDATE-MST09^	LOCATION1A^
m			bei	[MG]		subway
Münster \| dgskorpus_mst_02 \| 18-30f Especially because it’s so close to the train station, that’s why it’s important.
r	PRIMARILY1	REASON4B	MIDDLE2A^*	AT-OR-ON1C*	PRIMARILY1
l	PRIMARILY1	REASON4B	MIDDLE2A^*	AT-OR-ON1C*	PRIMARILY1
m	[MG]	grund	bei	wie	[MG]
Stuttgart \| dgskorpus_stu_04 \| 61+f It’s near Waldshut, you know.
r				AT-OR-ON1C*	$GEST-ATTENTION1^	AT-OR-ON1C	UNTIL1^
l				AT-OR-ON1C*		AT-OR-ON1C
m				bei		bei	waldshut
Stuttgart \| dgskorpus_stu_04 \| 61+f I went to a school in Wilhelmsdorf, in Wilhelmsdorf. That’s near Ravensburg.
r	TO-WRITE1E^	$INDEX1	$ORAL^	AT-OR-ON1C*	AREA1A^
l	TO-WRITE1E^		$ORAL^	AT-OR-ON1C*
m	wilhelmsdorf		wilhelmsdorf	bei	ravensburg
Stuttgart \| dgskorpus_stu_12 \| 46-60f Near Wiesloch.
r	$INDEX1	$ALPHA1:#		AT-OR-ON1C*	$ALPHA1:W
l			$ALPHA1:W	AT-OR-ON1C*
m	die{lheim}		wiesloch	bei	wiesloch
~ CLOSE-BY1B
Berlin \| dgskorpus_ber_02 \| 46-60m Close by the main station.
r				CLOSE-BY1B	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*
l				CLOSE-BY1B		CLOSE-BY1B*	HOTEL9*
m					bahnhof		hotel
Berlin \| dgskorpus_ber_10 \| 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	BIG3B	CITY2	HERE1*	CLOSE-BY1B
l	BIG3B	CITY2		CLOSE-BY1B
m	großstadt		berlin	[MG]
Frankfurt \| dgskorpus_fra_07 \| 18-30m Everybody gets off the bus at the hotel.
r		THERE1*	HOTEL3	CLOSE-BY1B	TO-GET-OUT1A*
l			HOTEL3	CLOSE-BY1B
m			ho{tel}		ausstei{gen}
Frankfurt \| dgskorpus_fra_13 \| 61+m Another famous city close by is Worms.
r				CLOSE-BY1B		TO-SIT1A^*	DISTANCE-OR-RANGE2*
l	AND5*	ALSO3A*	FAR1	CLOSE-BY1B	OUR1A*	TO-SIT1A^*	DISTANCE-OR-RANGE2*
m	und	auch	nicht so weit		von unser	ort
Frankfurt \| dgskorpus_fra_13 \| 61+m Also close by, next to Heidelberg, is the Kaiserstuhl [low mountain range in the Upper Rhine Valley].
r		$LIST1:3of3d*	$LIST1:3of3d	CLOSE-BY1B	$NAME	NEXT-TO1A*	ABOVE1
l		$LIST1:3of3d*	$LIST1:3of3d	CLOSE-BY1B	$NAME	NEXT-TO1A*
m		dann			heidelberg	nebenan	oben
Frankfurt \| dgskorpus_fra_14 \| 31-45f I prefer Heidelberg, that's closer.
r	RATHER1	HEIDELBERG1	MOUNTAIN1A	CLOSE-BY1B
l		HEIDELBERG1		CLOSE-BY1B
m	lieber	heidelberg		[MG]
Göttingen \| dgskorpus_goe_03 \| 61+f It was nice that it took me only five minutes to walk from home to school. I could get there quite fast.
r	WHAT1B*	BEAUTIFUL1A	$NUM-ONE-TO-TEN1A:5	CLOSE-BY1B	$NUM-ONE-TO-TEN1A:5	MINUTE2*	TO1*
l				CLOSE-BY1B
m	was	schön	fünf	[MG]	fünf	min{ute}	[MG]
Göttingen \| dgskorpus_goe_05 \| 31-45m It's just that a nuclear power plant always needs to have a river or an ocean close by.
r	TO-GIVE1*	MUST1	TO-HAVE-TO-OWN1	CLOSE-BY1B	RIVER1	OR1*	OCEAN1A
l				CLOSE-BY1B			OCEAN1A
m	geb	muss	haben	nah	fluss	oder	meer
Göttingen \| dgskorpus_goe_07 \| 18-30m Also in the countryside, where the nuclear waste is stored underground, the local residents who live nearby worry about the waste exploding by accident.
r		ALSO3A	COUNTRY1A	CLOSE-BY1B	TO-WORRY3*	DOWN1*
l				CLOSE-BY1B			TO-LET2A*
m		auch	land	nahe		[MG]	[MG]
Göttingen \| dgskorpus_goe_07 \| 18-30m They asked me to look up and the tweezer, you know, what women use to tweeze their eyebrows, came closer.
r	$PROD	SELF1A*	$PROD	CLOSE-BY1B	$PROD
l	$PROD		$PROD	CLOSE-BY1B	$PROD
m	[MG]		[MG]	nah	[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m The side dish varies, depending on the particular region.
r	MORE1	DIFFERENCE1B	CERTAIN1*	CLOSE-BY1B	PART1A	$INDEX1*	$ALPHA1:R
l		DIFFERENCE1B		CLOSE-BY1B	PART1A
m				[MG]	teil		region
Bremen \| dgskorpus_hb_01 \| 31-45m I was born and raised in Georgsmarienhütte near Osnabrück.
r	BIRTH1A	REALLY2*	OSNABRÜCK1	CLOSE-BY1B	LOCATION3*	$NAME	BIRTH1A*
l	BIRTH1A			CLOSE-BY1B		$NAME	BIRTH1A*
m	[MG]		osnabrück	[MG]	[MG]	georgsmarienhütte	aufgewachsen
Bremen \| dgskorpus_hb_01 \| 31-45m If another person throws the ball closer to the aim, you need to drink several shots; it gets on your nerves after a while.
r				CLOSE-BY1B	EXHAUSTING1	ON-PERSON1^	TO-DRINK2B*
l				CLOSE-BY1B
m				[MG]	[MG]
Bremen \| dgskorpus_hb_04 \| 18-30f Subway and city train were just beneath it, pretty near that is.
r	SUBWAY2A*	COMMUTER-TRAIN2*	ABOVE1*	CLOSE-BY1B
l				CLOSE-BY1B
m	u-bahn	s-bahn		nah
Hamburg \| dgskorpus_hh_02 \| 31-45f Although they visited them a lot because they lived close by, communication didn’t really work out.
r	$INDEX1	OFTEN2B*	TO-VISIT-OR-TO-ATTEND1B*	CLOSE-BY1B	$INDEX1*	APARTMENT1A*	TO-COME1
l		$PROD		CLOSE-BY1B
m	…			[MG]	nah	wohn	ko{mmen}
Hamburg \| dgskorpus_hh_04 \| 46-60m There, just by the man picking pears, there are baskets filled to the brink with the fruits.
r	MAN1*	TO-PICK1*	TO-COME-PASS2*	CLOSE-BY1B	$NUM-ONE-TO-TEN1A:3d	$PROD
l			TO-COME-PASS2*	CLOSE-BY1B		$PROD
m	mann	[MG]		nah		korb
Hamburg \| dgskorpus_hh_08 \| 46-60f It’s also close to the emergency hospital, which is also quite renowned.
r			AND5*	CLOSE-BY1B	ACCIDENT2A	HOSPITAL1A	$INDEX1
l				CLOSE-BY1B	ACCIDENT2A	HOSPITAL1A
m			und	[MG]	unfallkrankenhaus
Hamburg \| dgskorpus_hh_08 \| 46-60f It’s really fresh, because it comes right from the harbour.
r	$GEST^*	FRESH1	$ORAL^	CLOSE-BY1B	HARBOUR2	TO-DELIVER1A*
l	$GEST^*	FRESH1	$ORAL^	CLOSE-BY1B	HARBOUR2
m	[MG]	frisch	warum		hafen
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f In the past I had a general practitioner near Kerpen.
r	$INDEX1	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B	$INDEX1
l		CLOSE-BY1B*		CLOSE-BY1B
m				bei kerpen
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f But unfortunately it was very far away, near Overath.
r	UNFORTUNATELY1*	$INDEX1	FAR1*	CLOSE-BY1B	$INDEX2	FAR1*	I1
l				CLOSE-BY1B
m	aber leider		zu weit		overath	zu weit
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f One that is closer to my flat, like two or three kilometers.
r			APARTMENT1B*	CLOSE-BY1B	$NUM-ONE-TO-TEN1A:2d	$NUM-ONE-TO-TEN1A:3d	BACK-AND-FORTH1^*
l				CLOSE-BY1B			BACK-AND-FORTH1^*
m			woh{nung}	[MG]	zwei	drei	kilometer
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f I’d rather have a doctor close by.
r			RATHER1	CLOSE-BY1B	I1	TO-GO-THERE1*	CLOSE-BY1B
l				CLOSE-BY1B			CLOSE-BY1B
m			lieber
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f I’d rather have a doctor close by.
r	CLOSE-BY1B	I1	TO-GO-THERE1*	CLOSE-BY1B	I1	$GEST-I-DONT-KNOW1^
l	CLOSE-BY1B			CLOSE-BY1B		$GEST-I-DONT-KNOW1^
m					[MG]
Köln (Cologne) \| dgskorpus_koe_10 \| 18-30m Too bad that I was so close to the referee at that moment.
r		TROUBLE1^	OF-ALL-THINGS2	CLOSE-BY1B	NEXT-TO1B	REFEREE2	PERSON1
l			OF-ALL-THINGS2	CLOSE-BY1B	NEXT-TO1B
m		[MG]	ausgerechnet	nah		bei	schiri
Köln (Cologne) \| dgskorpus_koe_12 \| NULLNULL Seen from the kitchen the showers were just around the corner and the toilets straight along the hallway, it was all very close to each other.
r	$INDEX1	$INDEX1		CLOSE-BY1B	TO-SPIN8^*
l	TO-SHOWER1		TOILET2*	CLOSE-BY1B	TO-SPIN8^*
m	dusche	toilette		[MG]
Leipzig \| dgskorpus_lei_01 \| 18-30m Porsche is manufacturing in Leipzig, too.
r	$ALPHA1:D-O-SCH-E	ALSO1A	LONG-TIME1A^*	CLOSE-BY1B	ALSO1A*
l				CLOSE-BY1B
m	porsche	auch	leipzig	[MG]	auch
Leipzig \| dgskorpus_lei_01 \| 18-30m Near Chemnitz, right?
r			$GEST-TO-PONDER1^*	CLOSE-BY1B	CHEMNITZ1	$ALPHA1:V-W
l				CLOSE-BY1B
m				[MG]	chemnitz	v-w
Leipzig \| dgskorpus_lei_09 \| 31-45f Somewhere in that area there was a kindergarten, and I went there amongst many hearing children.
r				CLOSE-BY1B	CHILD2*	GARDEN3*	HEARING1A
l				CLOSE-BY1B
m				[MG]	kindergarten		hörend
Leipzig \| dgskorpus_lei_09 \| 31-45f They work around Dessau.
r				CLOSE-BY1B		TO-WORK2
l				CLOSE-BY1B	$ALPHA1:D-U	TO-WORK2	$INDEX1*
m				[MG]	dessau	arbeiten
Leipzig \| dgskorpus_lei_10 \| 31-45m But near the borders to the Czech Republic or Poland, nobody knows whether any criminals are coming over to us and who those people are.
r		$GEST-OFF^*	I1	CLOSE-BY1B	CZECH-REPUBLIC1	POLAND1B	CRIME1
l				CLOSE-BY1B			CRIME1
m		[MG]	ab{er}	[MG]	tschech{ien}	polen	verbrech
Münster \| dgskorpus_mst_03 \| 18-30f Of course if you live somewhere close by, you can fly there within two or three hours and easily pay for it. That’s neither too bad nor a waste of money.
r	I1	CLEAR1A	IF-OR-WHEN1A	CLOSE-BY1B	CAN2A	MONEY1A^	TO-PAY1
l		CLEAR1A		CLOSE-BY1B	CAN2A		TO-PAY1
m		klar	wenn	[MG]	kann	[MG]	[MG]
München (Munich) \| dgskorpus_mue_04 \| 18-30f Another one has a harbour theme, one hotel is really expensive and is located pretty close to Disneyland.
r	EXPENSIVE2	MAIN1A^*	EXPENSIVE1*	CLOSE-BY1B	$INDEX1
l				CLOSE-BY1B
m		[MG]		nahe
München (Munich) \| dgskorpus_mue_05 \| 61+f They went to Rome and saw the Pope walk by, but just from afar.
r	COINCIDENCE1*	TO-COME-PASS1*	BUT1*	CLOSE-BY1B	NO1A
l				CLOSE-BY1B
m		papst	aber	nah	[MG]
Rostock \| dgskorpus_mvp_04 \| 46-60f You’re lucky about the proximity.
r	YOU1*	ONCE-MORE1A^	GOOD1*	CLOSE-BY1B
l				CLOSE-BY1B
m	du		gut	[MG]
Rostock \| dgskorpus_mvp_06 \| 61+m We were living close to the store.
r			APARTMENT1B*	CLOSE-BY1B	AREA1A
l				CLOSE-BY1B
m			wohn	nah	geschäft
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Also, when you get off the train, it’s only around 500 meters to the beach by foot.
r			TO-GET-OUT1A	CLOSE-BY1B	BY-FOOT2*	$INDEX1	TO-SAY1^
l				CLOSE-BY1B
m			aussteig	nah	zu fuß		[MG]
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Something around there.
r				CLOSE-BY1B	$INDEX1*
l				CLOSE-BY1B	$INDEX1*
m
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Northeast of Hamburg.
r				CLOSE-BY1B	$PROD	$PROD
l				CLOSE-BY1B	$PROD	$PROD
m				bei		da
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Next to Bargteheide.
r				CLOSE-BY1B	TO-BATH1^*	AREA1A^	$INDEX1
l				CLOSE-BY1B
m				nah	bargteheide
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Close to Kiel.
r				CLOSE-BY1B	KIEL1
l				CLOSE-BY1B
m				nah	kiel
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Close to Kiel.
r				CLOSE-BY1B	KIEL1	$INDEX1
l				CLOSE-BY1B
m				nähe	kiel
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m And the train station is just five minutes from there, that’s convenient as well.
r				CLOSE-BY1B	TO-SAY1	$NUM-ONE-TO-TEN1A:5	MINUTE2*
l				CLOSE-BY1B
m					[MG]	fünf	minuten
Stuttgart \| dgskorpus_stu_04 \| 61+f I’m protestant, and the church was just around the corner.
r		I2	LUTHERAN2*	CLOSE-BY1B	$INDEX1
l			LUTHERAN2*	CLOSE-BY1B
m		ich	evangelisch	nah
Stuttgart \| dgskorpus_stu_04 \| 61+f I was really happy about it because it was close to the city and there were so many possibilities to take a walk, for example along the river Wutach.
r	I1	HAPPY1*	I1	CLOSE-BY1B	TO-GO1A^*	MUCH-OR-MANY1A*	MOVEMENT1A^*
l		HAPPY1*		CLOSE-BY1B			MOVEMENT1A^*
m	…	bin froh	warum	[MG]	stadt stadt stadt	viel	spazieren
Stuttgart \| dgskorpus_stu_06 \| 18-30f And of course, it’s close by.
r			AND3*	CLOSE-BY1B	BACK-AND-FORTH1	$GEST-OFF^
l			AND3*	CLOSE-BY1B	BACK-AND-FORTH1	$GEST-OFF^
m			und	nah [MG]		[MG]
Stuttgart \| dgskorpus_stu_09 \| 18-30m Well, I was free, because I lived only twenty minutes away and was able to commute.
r		FREE2A	APARTMENT5*	CLOSE-BY1B	$NUM-TENS2A:2d*	MINUTE1*	BACK-AND-FORTH1*
l		FREE2A	APARTMENT5*	CLOSE-BY1B		MINUTE1*	BACK-AND-FORTH1*
m		frei	wohnen		zwanzig	minuten
Stuttgart \| dgskorpus_stu_12 \| 46-60f It's near Wiesloch, about five kilometers away.
r				CLOSE-BY1B		KILOMETRE1*	FROM-TO1
l				CLOSE-BY1B	$NUM-ONE-TO-TEN1A:5	KILOMETRE1*	FROM-TO1
m				[MG]	fünf
Stuttgart \| dgskorpus_stu_12 \| 46-60f Near the Hamburg harbor.
r			HAMBURG2*	CLOSE-BY1B	RIVER1^	CLOSE-BY1B
l				CLOSE-BY1B		CLOSE-BY1B
m			hamburg		hafen	hafen
Stuttgart \| dgskorpus_stu_12 \| 46-60f Near the Hamburg harbor.
r	HAMBURG2*	CLOSE-BY1B	RIVER1^	CLOSE-BY1B
l		CLOSE-BY1B		CLOSE-BY1B
m	hamburg		hafen	hafen
Berlin \| dgskorpus_ber_02 \| 46-60m Close by the main station.
r		CLOSE-BY1B	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*	CLOSE-BY1B*	$INDEX1
l		CLOSE-BY1B		CLOSE-BY1B*	HOTEL9*
m			bahnhof		hotel
Berlin \| dgskorpus_ber_02 \| 46-60m Close by the main station.
r	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*	CLOSE-BY1B*	$INDEX1	$GEST-OFF^*
l		CLOSE-BY1B*	HOTEL9*
m	bahnhof		hotel
Berlin \| dgskorpus_ber_03 \| 46-60f It was nearby the Heinrich-Heine-Straße [street name].
r				CLOSE-BY1B*	$INDEX1	$PROD	$GEST-TO-PONDER1^
l				CLOSE-BY1B*		$PROD
m				[MG]
Berlin \| dgskorpus_ber_03 \| 46-60f It was nearby the Heinrich-Heine-Straße [street name].
r	$CUED-SPEECH*	STREET1	AREA1A^*	CLOSE-BY1B*	$INDEX1
l		STREET1		CLOSE-BY1B*
m	…			[MG]
Berlin \| dgskorpus_ber_11 \| 61+m The incident did not occur right there though, just in the area.
r		HERE1	$INDEX1	CLOSE-BY1B*	$INDEX1	AREA1A*	CLOSE-BY1B*
l				CLOSE-BY1B*			CLOSE-BY1B*
m				nahe
Berlin \| dgskorpus_ber_11 \| 61+m The incident did not occur right there though, just in the area.
r	CLOSE-BY1B*	$INDEX1	AREA1A*	CLOSE-BY1B*
l	CLOSE-BY1B*			CLOSE-BY1B*
m	nahe
Berlin \| dgskorpus_ber_11 \| 61+m The hotel that everybody stayed at was not very far away from the ground zero area which was hit by the nuclear bomb.
r	$PROD	$INDEX1	NUCLEAR1	CLOSE-BY1B*	$INDEX1	$INDEX1	TO-SLEEP1A
l	$PROD			CLOSE-BY1B*
m	…	atom		nah
Berlin \| dgskorpus_ber_12 \| 31-45f Palermo is a city, as well, but it’s near the sea.
r	ALSO3A*	CITY2	HOWEVER2	CLOSE-BY1B*	OCEAN1A*
l		CITY2	HOWEVER2	CLOSE-BY1B*
m	auch	stadt	doch	nah	meer
Berlin \| dgskorpus_ber_12 \| 31-45f If we visited the Olympic Stadium, we’d go to the school for the deaf afterwards, as it is nearby.
r	$INDEX1	DEAF1A	SCHOOL1A	CLOSE-BY1B*	$INDEX1	DEAF1A	SCHOOL1A
l			SCHOOL1A	CLOSE-BY1B*			SCHOOL1A
m	…		schule	warum [MG]			schule
Berlin \| dgskorpus_ber_12 \| 31-45f If we visited the Olympic Stadium, we’d go to the school for the deaf afterwards, as it is nearby.
r	$INDEX1	DEAF1A	SCHOOL1A	CLOSE-BY1B*
l			SCHOOL1A
m			schule	nah
Berlin \| dgskorpus_ber_12 \| 31-45f No, I go to Beelitz which is near Werder.
r	$GEST-NM-SHAKE-HEAD1^	I1	$ALPHA1:B	CLOSE-BY1B*	$ALPHA1:B-E-E-L-I-T-Z
l	$GEST-NM-SHAKE-HEAD1^			CLOSE-BY1B*
m			beelitz		beelitz
Berlin \| dgskorpus_ber_12 \| 31-45f Yes, I always go to a place near Beelitz.
r				CLOSE-BY1B*	AREA1A	$INDEX1	TO-DRIVE3
l				CLOSE-BY1B*			TO-DRIVE3
m							[MG]
Berlin \| dgskorpus_ber_12 \| 31-45f Spandau? No, Spandau is close to Falkensee, way too close.
r		$GEST-NM-SHAKE-HEAD1^	$ORAL^	CLOSE-BY1B*	SPANDAU1*	TO2^*	LAZY1^
l		$GEST-NM-SHAKE-HEAD1^	$ORAL^	CLOSE-BY1B*		TO2^*
m			spandau	[MG]	spandau
Berlin \| dgskorpus_ber_12 \| 31-45f Spandau? No, Spandau is close to Falkensee, way too close.
r	SPANDAU1*	TO2^*	LAZY1^	CLOSE-BY1B*
l		TO2^*		CLOSE-BY1B*
m	spandau			[MG]
Berlin \| dgskorpus_ber_14 \| 18-30f It's close to Stendal.
r				CLOSE-BY1B*	STENDAL1*	CLOSE-BY1A
l				CLOSE-BY1B*		CLOSE-BY1A
m				[MG]	stendal	[MG]
Berlin \| dgskorpus_ber_14 \| 18-30f I am from Tangerhütte which is also close by the river; really, it's nearby.
r	CLOSE-BY1A			CLOSE-BY1B*	BACK-AND-FORTH1*
l	CLOSE-BY1A	TO2^*	AND2A*	CLOSE-BY1B*
m	nähe	nah	und	nähe
Frankfurt \| dgskorpus_fra_05 \| 46-60m It’s just like in the city of Luxor, which is near-by. They have buildings made of stone, too.
r	CITY2	$ALPHA1:L-U-X*	$INDEX1	CLOSE-BY1B*	BEHIND1*	PLANE3B^*	$INDEX1*
l	CITY2			CLOSE-BY1B*	BEHIND1*	PLANE3B^*
m	stadt	luxor
Frankfurt \| dgskorpus_fra_05 \| 46-60m I’d like to travel to India or to a country close to India.
r	INDIA3	$INDEX1	AREA1A^*	CLOSE-BY1B*
l				CLOSE-BY1B*
m	indien
Frankfurt \| dgskorpus_fra_11 \| 18-30m Just think about Frankfurt, there’s one, another one in Friedberg and the next in Bad Camberg, they’re all relatively close together.
r	OVER-OR-ABOUT1^	$NUM-ONE-TO-TEN1A:1*	BUT1	CLOSE-BY1B*	$INDEX1*
l				CLOSE-BY1B*
m	…	eins	aber	[MG]
Frankfurt \| dgskorpus_fra_12 \| 61+m We lived near the station and caught the last car.
r	$GEST-OFF^	I1	APARTMENT1B*	CLOSE-BY1B*	TRAIN-STATION-$CANDIDATE-FRA24^	I1
l	$GEST-OFF^			CLOSE-BY1B*			$INDEX1
m			wohn	[MG]	bahnhof
Frankfurt \| dgskorpus_fra_14 \| 31-45f True, I sat very close to the stage.
r			I1	CLOSE-BY1B*	TO-SIT1A	RIGHT-OR-AGREED1B
l				CLOSE-BY1B*	TO-SIT1A
m				nah
Göttingen \| dgskorpus_goe_01 \| 61+m A hearing person wanted to jog with me. He worked at E.ON, which was close by.
r	$INDEX1	ELECTRIC1*	$INDEX1	CLOSE-BY1B*	$INDEX1*	BORDER1A^*	$PROD
l		ELECTRIC1*		CLOSE-BY1B*		BORDER1A^*	$PROD
m	eon	elektrik		[MG]		??	geschäft
Göttingen \| dgskorpus_goe_01 \| 61+m It's really close by from where I live.
r				CLOSE-BY1B*	I1	DOWN1^	$INDEX1*
l				CLOSE-BY1B*
m				nah		in der nähe
Göttingen \| dgskorpus_goe_03 \| 61+f I was used to being close to my mother and my father.
r	HABIT2*	MUM6	DAD1A*	CLOSE-BY1B*
l	HABIT2*			CLOSE-BY1B*
m	gewöhnt	mama	papa	[MG]
Göttingen \| dgskorpus_goe_04 \| 31-45m My mother speaks as well and ‘steals‘ the children that way.
r	MY1*	MOTHER5	$INDEX1	CLOSE-BY1B*	TO-COME1*	TO-SPEAK6*	$INDEX1
l				CLOSE-BY1B*
m	mein	mutter		nah		spr{echen}
Göttingen \| dgskorpus_goe_05 \| 31-45m The nuclear power plant in Japan was too close to the ocean.
r	$INDEX1*	$GEST^*	OCEAN1A	CLOSE-BY1B*	$INDEX1*
l		$GEST^*	OCEAN1A	CLOSE-BY1B*
m			meer	zu nah
Göttingen \| dgskorpus_goe_05 \| 31-45m If it's too close, it's dangerous.
r				CLOSE-BY1B*	DANGEROUS1B*	CLOSE-BY1^*	$GEST-OFF^*
l				CLOSE-BY1B*		CLOSE-BY1^*
m				zu zu zu gefährlich
Göttingen \| dgskorpus_goe_07 \| 18-30m It’s because those ares are close to sinkholes.
r	EARTH-PLANET2*	REASON4B*	EARTH-PLANET2*	CLOSE-BY1B*	EARTH-PLANET2	IN1*	ROUND6B^
l	EARTH-PLANET2*	REASON4B*	EARTH-PLANET2*	CLOSE-BY1B*	EARTH-PLANET2	IN1*
m		grund		nahe	erde	im
Göttingen \| dgskorpus_goe_07 \| 18-30m It’s because those ares are close to sinkholes.
r	MIDDLE2B*	IN1^*	$INDEX1*	CLOSE-BY1B*
l	MIDDLE2B*	IN1^*	ROUND6B^	CLOSE-BY1B*
m	erdloch			nahe
Göttingen \| dgskorpus_goe_08 \| 18-30f Classes should be close to home, of course.
r			CLEAR1A*	CLOSE-BY1B*	APARTMENT5	TO-NEED1	CLOSE-BY1B*
l				CLOSE-BY1B*	APARTMENT5		CLOSE-BY1B*
m			klar	nah	wohnung	brauch	[MG]
Göttingen \| dgskorpus_goe_08 \| 18-30f Classes should be close to home, of course.
r	CLOSE-BY1B*	APARTMENT5	TO-NEED1	CLOSE-BY1B*	TO-TEACH1
l	CLOSE-BY1B*	APARTMENT5		CLOSE-BY1B*	TO-TEACH1
m	nah	wohnung	brauch	[MG]	unterricht
Bremen \| dgskorpus_hb_01 \| 31-45m Being close to the North Sea is one advantage.
r		ADVANTAGE1	$GEST^	CLOSE-BY1B*	WHAT1A	NORTH1A	LAKE1B*
l			$GEST^	CLOSE-BY1B*	WHAT1A		LAKE1B*
m		[MG]		[MG]		nordsee
Bremen \| dgskorpus_hb_01 \| 31-45m There is a lot of rural landscape near Bremen.
r	INTEREST1A	BREMEN1*	TO-OWN1	CLOSE-BY1B*	FARMER1*	COUNTRY3B*
l				CLOSE-BY1B*		COUNTRY3B*
m	[MG]	bremen	[MG]	nah	bauer	land
Bremen \| dgskorpus_hb_01 \| 31-45m From my home I had to walk only five minutes to get there.
r			I1	CLOSE-BY1B*	$NUM-ONE-TO-TEN1A:5	MINUTE2*	BY-FOOT2*
l				CLOSE-BY1B*
m			aber	[MG]	fünf	minuten	zu fuß
Bremen \| dgskorpus_hb_01 \| 31-45m With deaf people living around the corner I could always go there and sign with them.
r		DEAF1A*	THERE-IS3	CLOSE-BY1B*	MY1	ALL1A^	ALWAYS4A*
l			THERE-IS3	CLOSE-BY1B*
m			geben	nah			immer
Bremen \| dgskorpus_hb_01 \| 31-45m You were really lucky, that you used to live near a boarding school.
r	YOU1*	LUCK2	$INDEX1	CLOSE-BY1B*	YOU1*	TO-KNOW-OR-KNOWLEDGE2B^
l		LUCK2		CLOSE-BY1B*
m		glück		[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m A nature park is located in the South-West, near Wildeshausen.
r				CLOSE-BY1B*	GAME-ANIMALS6^	HOUSE1A^*	NATURE6A*
l				CLOSE-BY1B*		HOUSE1A^*	NATURE6A*
m				[MG]	wildeshausen		natur
Bremen \| dgskorpus_hb_01 \| 31-45m Bremerhaven isn't too far away either. Possibly at a distance of 40 or 50 kilometers.
r	HARBOUR2	$GEST^	BREMEN1*	CLOSE-BY1B*	APPROXIMATELY1*	$NUM-TENS2A:4	$NUM-TENS2A:5
l	HARBOUR2	$GEST^		CLOSE-BY1B*
m	…		bremen	[MG]		vierzig	fünfzig
Bremen \| dgskorpus_hb_01 \| 31-45m And you can even surf nearby.
r	SPECIAL-OR-PARTICULARLY1A	$INDEX1*	MORE1*	CLOSE-BY1B*	TO-SURF1	WHAT1B
l			MORE1*	CLOSE-BY1B*	TO-SURF1	WHAT1B
m	[MG]		mehr	[MG]	surfen	was
Bremen \| dgskorpus_hb_01 \| 31-45m It is next to the 'Black Box', on the other side of the road.
r	NEXT-TO1A*	BLACK3	BOX1	CLOSE-BY1B*	$INDEX1*	$INDEX1
l			BOX1	CLOSE-BY1B*	$INDEX1*
m	[MG]	black	box	[MG]	um
Bremen \| dgskorpus_hb_01 \| 31-45m He has two children and lives in #Name1, near #Name2.
r	$NUM-ONE-TO-TEN1A:2	CHILD2*	$INDEX1	CLOSE-BY1B*	$GEST-OFF^	$INDEX1	APARTMENT5*
l				CLOSE-BY1B*	$GEST-OFF^		APARTMENT5*
m	zwei	kinder		[MG]			wohnen
Bremen \| dgskorpus_hb_01 \| 31-45m He has two children and lives in #Name1, near #Name2.
r	APARTMENT5*	$NAME	$NAME	CLOSE-BY1B*	$NAME	$INDEX1	CLOSE-BY1B*
l	APARTMENT5*	$NAME	$NAME	CLOSE-BY1B*	$NAME		CLOSE-BY1B*
m	wohnen	#name1		nähe	#name2		[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m He has two children and lives in #Name1, near #Name2.
r	CLOSE-BY1B*	$NAME	$INDEX1	CLOSE-BY1B*	$GEST-OFF^*
l	CLOSE-BY1B*	$NAME		CLOSE-BY1B*	$GEST-OFF^*
m	nähe	#name2		[MG]	[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m Well, I lived near my school.
r	$GEST-OFF^*	PROBLEM1	I1	CLOSE-BY1B*
l	$GEST-OFF^*			CLOSE-BY1B*
m	aber	problem		[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m That is why you didn't have to ponder over that.
r	$INDEX1*		$INDEX1	CLOSE-BY1B*	CARELESS3A	$GEST-AGREEMENT1^
l		LIKE-THIS1^*		CLOSE-BY1B*	CARELESS3A
m	[MG]			[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m It was just so close.
r				CLOSE-BY1B*	LOCATION1A^*
l				CLOSE-BY1B*
m				[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m Most of the finds are located north-west of Bramsche.
r				CLOSE-BY1B*	OSNABRÜCK1*	TO-KNOW-OR-KNOWLEDGE2B	$ALPHA1:R
l				CLOSE-BY1B*	$INDEX1
m				[MG]	osnabrück
Bremen \| dgskorpus_hb_01 \| 31-45m There are some mountains in the North of Osnabrück, quite close to the city.
r		$ALPHA1:D*		CLOSE-BY1B*	OSNABRÜCK1*	CITY2*	$INDEX1*
l			FROM-OR-BY-OR-OF4	CLOSE-BY1B*		CITY2*	LOCATION3*
m		d{eponie}	von	[MG]	osnabrück		[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m Osnabrück is situated beautifully.
r	BEAUTIFUL1A	LANDSCAPE1*	RIGHT-OR-AGREED1A	CLOSE-BY1B*
l				CLOSE-BY1B*
m	schön	landschaft	stimm	[MG]
Bremen \| dgskorpus_hb_01 \| 31-45m There are some great opportunities for biking nearby.
r				CLOSE-BY1B*	POSSIBLE1*	RIGHT-OR-AGREED1A
l				CLOSE-BY1B*
m				[MG]	möglich	stimmt
Bremen \| dgskorpus_hb_04 \| 18-30f The event location was right in the middle of Frankfurt near a huge shopping mall.
r	MIDDLE2B^*	LOCATION1B	$INDEX1	CLOSE-BY1B*	UNTIL1*	TRADE-OR-NEGOTIATION1^	CENTRE1A
l	MIDDLE2B^*	LOCATION1B		CLOSE-BY1B*		TRADE-OR-NEGOTIATION1^	CENTRE1A
m				[MG]		einkaufszentrum
Bremen \| dgskorpus_hb_04 \| 18-30f He wanted to be close to his people.
r				CLOSE-BY1B*
l				CLOSE-BY1B*
m				nah
Bremen \| dgskorpus_hb_07 \| 18-30m I wanted them to call the traffic department, which was right around the corner of my house.
r	$INDEX1	MY1*	APARTMENT5	CLOSE-BY1B*	AREA1A^
l			APARTMENT5	CLOSE-BY1B*
m		mein	wohn	nähe
Bremen \| dgskorpus_hb_07 \| 18-30m I was lucky, that the driving school was close to Essen.
r	LUCK2	$INDEX1	ESSEN-CITY1	CLOSE-BY1B*	LUCK2*	$GEST-OFF^
l	LUCK2			CLOSE-BY1B*		$GEST-OFF^
m	glück		essen	nah	glück
Bremen \| dgskorpus_hb_08 \| 61+m Afterwards, we went to the mountains, because there was a river close to Italy. That was fun.
r	ATTENTION1A^*	WHY2A	MOST2	CLOSE-BY1B*	ITALY1*	RIVER1*	TO-LOOK-AT3*
l	$NUM-ONE-TO-TEN1A:2d	WHY2A		CLOSE-BY1B*
m		warum	meist	nahe	italien	fluss	[MG]
Bremen \| dgskorpus_hb_08 \| 61+m It was quite close to Buchen/
r				CLOSE-BY1B*	$INDEX1*	TO-OPEN-BOOK1^
l				CLOSE-BY1B*		TO-OPEN-BOOK1^
m				[MG]	erfurt	buch{enwald}
Hamburg \| dgskorpus_hh_08 \| 46-60f You know, #I live in Name1, and right around the corner there are those hills, they are sand hills, do you know what I mean?
r	YOU1*	I1	APARTMENT1A	CLOSE-BY1B*	$NAME	$INDEX1*	UNDER1A*
l				CLOSE-BY1B*	$NAME
m	du	ich	wohne		#name1		unter
Hamburg \| dgskorpus_hh_08 \| 46-60f But they do not get the water right there. It is a little further away.
r	$INDEX1*	CLOSE-BY1A*	AREA1C^*	CLOSE-BY1B*	$ALPHA1:B*		GAP-OR-DISTANCE5
l	$INDEX1*	CLOSE-BY1A*	AREA1C^*	CLOSE-BY1B*		NOT3A	GAP-OR-DISTANCE5
m	quelle		[MG]		bismarck		bisschen weit
Köln (Cologne) \| dgskorpus_koe_01 \| 18-30f It's located close to Africa.
r				CLOSE-BY1B*	AFRICA1	AREA1A^*
l				CLOSE-BY1B*
m				[MG]	afrika
Köln (Cologne) \| dgskorpus_koe_01 \| 18-30f I went there with my sister and two deaf friends. We toured the island with motorcycles.
r			ISLAND2	CLOSE-BY1B*	BEEN1*	I2	TOGETHER1A*
l				CLOSE-BY1B*	BEEN1*		TOGETHER1A*
m			insel	[MG]	gewesen
Köln (Cologne) \| dgskorpus_koe_02 \| 46-60f In the past I had a general practitioner near Kerpen.
r	HOUSE1B*	PHYSICIAN1*	$INDEX1	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B	$INDEX1
l	HOUSE1B*	PHYSICIAN1*		CLOSE-BY1B*		CLOSE-BY1B
m	hausarzt					bei kerpen
Köln (Cologne) \| dgskorpus_koe_12 \| NULLNULL We got out directly in front of the hotel and went straight in.
r		THEN1C	HOTEL6	CLOSE-BY1B*	TO-GET-OUT1A	INTO2*	ABOVE1
l				CLOSE-BY1B*		INTO2*
m			hotel	[MG]		hotel
Köln (Cologne) \| dgskorpus_koe_14 \| 61+f How far?
r				CLOSE-BY1B*	YOU1	HOW-MUCH5*	TO2*
l				CLOSE-BY1B*			TO2*
m				aber		wie viel
Köln (Cologne) \| dgskorpus_koe_14 \| 61+f How far?
r	YOU1	HOW-MUCH5*	TO2*	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B*
l			TO2*	CLOSE-BY1B*		CLOSE-BY1B*
m	…	wie viel		nah
Köln (Cologne) \| dgskorpus_koe_14 \| 61+f How far?
r	TO2*	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B*
l	TO2*	CLOSE-BY1B*		CLOSE-BY1B*
m	…	nah
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m The city I live in is close to a mine.
r		I2	APARTMENT1A*	CLOSE-BY1B*	LOCATION1B^*	$INDEX1*	$INDEX1*
l				CLOSE-BY1B*	LOCATION1B^*
m			wohn		[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m This city is close to where I live.
r			I2	CLOSE-BY1B*	$INDEX1*
l				CLOSE-BY1B*
m				[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I live very close by and it was really beautiful.
r	I2*	BEAUTIFUL1A	I1*	CLOSE-BY1B*	$INDEX1*	LOCATION1A^*
l				CLOSE-BY1B*
m		schön		[MG]		[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I also live near Gelsenkirchen.
r	AND2A	BEFOREHAND4*	$NUM-ONE-TO-TEN1A:1d	CLOSE-BY1B*		ALSO3A	GELSENKIRCHEN1B
l	AND2A	BEFOREHAND4*		CLOSE-BY1B*	$INDEX1		GELSENKIRCHEN1B
m	und	vorher	ein	[MG]		auch	gelsenkirchen
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I used to go there a lot because it was close by.
r			BACK-AND-FORTH1*	CLOSE-BY1B*
l	TO-GROW-UP1A	I-AM1	BACK-AND-FORTH1*	CLOSE-BY1B*
m	auf{ge}wachsen	bin		nähe
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I always rode my bike because everything was close by.
r	I1	BICYCLE1*	BACK-AND-FORTH1*	CLOSE-BY1B*	$GEST^
l		BICYCLE1*	BACK-AND-FORTH1*	CLOSE-BY1B*	$GEST^
m		fahrrad		[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Really everything that is close by. I wouldn't drive far away.
r				CLOSE-BY1B*	CLEAR1B*	FAR-FAR-AWAY1*
l				CLOSE-BY1B*
m				nah	klar	[MG]
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I have an uncle who lives near Dresden.
r		UNCLE9*	APARTMENT5*	CLOSE-BY1B*	DRESDEN1	$GEST-OFF^*
l		UNCLE9*		CLOSE-BY1B*
m		onkel	wohn	[MG]	dresden
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m They are right next to each other.
r				CLOSE-BY1B*	$INDEX1*	LOCATION1A^*
l				CLOSE-BY1B*		LOCATION1A^*
m				nah	beide
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m In Düsseldorf the historical part is right next to the Rhine.
r	CITY2	ALSO3A*	RHINE-RIVER1*	CLOSE-BY1B*	AREA1A^*
l	CITY2			CLOSE-BY1B*
m	…	auch	rhein
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m Concerning the food: There is a great pizza restaurant around the corner that is really great.
r	SPECIAL-OR-PARTICULARLY1A	GOOD1	I2	CLOSE-BY1B*	$INDEX1*	ROUND-THE-CORNER1^*	PIZZA1*
l				CLOSE-BY1B*			PIZZA1*
m	bes{onders}			[MG]			pizza
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m I saw two or three foxes on the street before.
r	$INDEX1	CAR1*	$PROD	CLOSE-BY1B*	$INDEX1
l		CAR1*	$PROD	CLOSE-BY1B*
m		auto			da
Köln (Cologne) \| dgskorpus_koe_16 \| 46-60f Right, the Eifel, to Monschau.
r	EIFEL1*	AREA1A*	$GEST-OFF^*	CLOSE-BY1B*	$INDEX-ORAL1	$ALPHA1:M*	$INDEX-ORAL1
l			$GEST-OFF^*	CLOSE-BY1B*
m	eifel			[MG]	monschau
Köln (Cologne) \| dgskorpus_koe_16 \| 46-60f But I didn’t spend the night there. I lived nearby.
r	NO1A	I1	APARTMENT1B*	CLOSE-BY1B*	$GEST-OFF^
l				CLOSE-BY1B*	$GEST-OFF^
m			wohn
Köln (Cologne) \| dgskorpus_koe_16 \| 46-60f Or I just walked home by myself. It was really close, just 200 meters maybe.
r	OR1*	ALONE2*	GO-HOME1*	CLOSE-BY1B*	$NUM-HUNDREDS1:2d	METRE1*	BACK-AND-FORTH1^*
l	OR1*			CLOSE-BY1B*		METRE1*	BACK-AND-FORTH1^*
m	oder	allein		[MG] n{ah}	zw{ei}hund{ert}	meter
Köln (Cologne) \| dgskorpus_koe_22 \| 46-60m Therefore, I can't imagine building a house that close to water.
r	HOUSE1B	IMAGINATION1A*	HOUSE1B	CLOSE-BY1B*	WATER1		IMAGINATION1A*
l	HOUSE1B		HOUSE1B	CLOSE-BY1B*		CAN1*
m	haus	vor{stellen}	haus	[MG]	wasser		vor{stellen}
Köln (Cologne) \| dgskorpus_koe_22 \| 46-60m The city center is close to the river Mosel.
r	CENTRE1B*	CENTRE1A	$INDEX1*	CLOSE-BY1B*	MOSELLE1
l	CENTRE1B*	CENTRE1A	$INDEX1*	CLOSE-BY1B*
m	zentral			nah	mosel
Leipzig \| dgskorpus_lei_02 \| 61+f It's close to Marie/ In the district Marienburg.
r				CLOSE-BY1B*	TO-SAY3*	CLOSE-BY1B*	PIMPLE1B^*
l				CLOSE-BY1B*		CLOSE-BY1B*
m							[MG]
Leipzig \| dgskorpus_lei_02 \| 61+f It's close to Marie/ In the district Marienburg.
r		CLOSE-BY1B*	TO-SAY3*	CLOSE-BY1B*	PIMPLE1B^*	CIRCLE1A	PIMPLE1B^
l		CLOSE-BY1B*		CLOSE-BY1B*		CIRCLE1A
m					[MG]	kreis	marienburg
Leipzig \| dgskorpus_lei_02 \| 61+f I did not think about it, because you are closer to me.
r	$GEST-TO-TAP-ONES-FOREHEAD1^	TRUST1*	I1	CLOSE-BY1B*	TO-NEED2*	I2	$GEST-DECLINE1^
l		TRUST1*		CLOSE-BY1B*			$GEST-DECLINE1^
m			warum	[MG]
Leipzig \| dgskorpus_lei_09 \| 31-45f Dessau, do you know it?
r				CLOSE-BY1B*
l		IN1*	$ALPHA1:D	CLOSE-BY1B*	TO-KNOW-OR-KNOWLEDGE2A*	YOU1*	$ALPHA1:D
m			dessau		weißt	du	dessau
Leipzig \| dgskorpus_lei_09 \| 31-45f The restaurant I worked for is situated right on the banks of the Elbe.
r			I2*	CLOSE-BY1B*	$PROD	TO-CLEAN5	RESTAURANT1
l		I1*		CLOSE-BY1B*	$PROD	TO-CLEAN5	RESTAURANT1
m				[MG]		putzen	restaurant
Leipzig \| dgskorpus_lei_09 \| 31-45f There was mud everywhere.
r	$GEST-DECLINE1^*			CLOSE-BY1B*		TO-TOUCH1B^	AREA1D^*
l	$GEST-DECLINE1^*	I1*	IF-OR-WHEN1A	CLOSE-BY1B*	MEANING1*	TO-TOUCH1B^	AREA1D^*
m				[MG]	bedeutet	schlamm
Leipzig \| dgskorpus_lei_09 \| 31-45f I thought to myself that it wouldn't be a problem, because there's a bank fairly close to my apartment.
r	PROBLEM2A			CLOSE-BY1B*
l	PROBLEM2A	I2	CAR-TO-STOP2	CLOSE-BY1B*	$INDEX1*	APARTMENT1A*	$INDEX1*
m	problem			nah		wohnung
Leipzig \| dgskorpus_lei_11 \| 31-45f It is close to Zittau/
r				CLOSE-BY1B*	$ALPHA1:Z-I-T-T-A-U
l				CLOSE-BY1B*
m				[MG]	zittau
Leipzig \| dgskorpus_lei_11 \| 31-45f Yes, just recently at the Nikolai church just around the corner.
r	$INDEX1	$ALPHA1:N	CHURCH2A	CLOSE-BY1B*	$INDEX1*
l			CHURCH2A	CLOSE-BY1B*
m		nikolaikirche		[MG]
Leipzig \| dgskorpus_lei_13 \| 46-60m That was in Blankenburg close to Werningerode.
r	IN1*	SHINING1A*	$INDEX-ORAL1	CLOSE-BY1B*	NOSE1A^*	IN1^*
l				CLOSE-BY1B*
m	in	blankenburg		[MG]	wernigerode	blanken{burg}
Münster \| dgskorpus_mst_03 \| 18-30f The school was very close, and I was able to commute to school and back.
r				CLOSE-BY1B*	DAILY2A	BACK-AND-FORTH1	NEVERTHELESS2B
l				CLOSE-BY1B*		BACK-AND-FORTH1
m				[MG]	jeden tag aber		trotzdem
Münster \| dgskorpus_mst_03 \| 18-30f Nearby places can also be nice.
r	$INDEX1	CAN1*	ALSO1A	CLOSE-BY1B*	BEAUTIFUL1A
l				CLOSE-BY1B*
m		kann	auch	nah	schön
Münster \| dgskorpus_mst_07 \| 46-60m The reason for that was just me living very close by, though.
r	APARTMENT1A*	TO-SIT1A	MÜNSTER1*	CLOSE-BY1B*	$GEST-OFF^
l		TO-SIT1A		CLOSE-BY1B*	$GEST-OFF^
m	…		münster	[MG]
Münster \| dgskorpus_mst_07 \| 46-60m I live quite close to Münster.
r	TO-SIT1A	MÜNSTER1*	I2	CLOSE-BY1B*	$INDEX1
l	TO-SIT1A			CLOSE-BY1B*
m	…	münster		[MG]
Münster \| dgskorpus_mst_13 \| 46-60f If the lunar module had landed in the front area, you could have watched it with a special telescope.
r	$PROD	SPECIAL1	TELESCOPE1*	CLOSE-BY1B*
l	$PROD	SPECIAL1	TELESCOPE1*	CLOSE-BY1B*
m		spezial
Münster \| dgskorpus_mst_15 \| 31-45f We approached each other and bonded right away.
r		ALREADY1A*	FEELING3	CLOSE-BY1B*	ALREADY1B*
l		ALREADY1A*	FEELING3	CLOSE-BY1B*	ALREADY1B*
m		schon	fühl	nah	schon
München (Munich) \| dgskorpus_mue_03 \| 46-60m I was born in Perlesreut in the Bavarian Forest.
r	BIRTH1B*	I1	APARTMENT1A	CLOSE-BY1B*	$ALPHA1:P-E-R-L-E-S-#-R-E-U-T	BAVARIA1^*	FOREST3B*
l	BIRTH1B*			CLOSE-BY1B*			FOREST3B*
m			[MG]	nähe	perlesreut	bayrischer
München (Munich) \| dgskorpus_mue_03 \| 46-60m I did my apprenticeship close to Munich.
r	TO-LEARN2A^	TO-GO-THERE1	ALSO1A*	CLOSE-BY1B*	MUNICH1A*	I1*
l				CLOSE-BY1B*
m	ausbildung		auch		münchen
München (Munich) \| dgskorpus_mue_03 \| 46-60m I found a job really close by.
r			THEN4	CLOSE-BY1B*	TO-WORK2*	TO-FIND1D
l				CLOSE-BY1B*	TO-WORK2*
m			dann	[MG]	arbeit	gefunden
München (Munich) \| dgskorpus_mue_03 \| 46-60m A deaf couple from my area was also working there.
r	COUPLE3	TO-FIND1C*	$INDEX1	CLOSE-BY1B*	APARTMENT5	TO-WORK2
l				CLOSE-BY1B*	APARTMENT5	TO-WORK2
m	paar	gefunden			nah	arbeit
München (Munich) \| dgskorpus_mue_05 \| 61+f That’s close, it’s not that far to Marktl. [birthplace of Pope Benedict]
r			I1	CLOSE-BY1B*	NOT3A*	FAR1*	FROM-TO3
l				CLOSE-BY1B*	NOT3A*
m				nahe	nicht	weit
München (Munich) \| dgskorpus_mue_06 \| 18-30f Integrative day cares are good for young children, as well, so they can stay near their parents.
r			PARENTS1A	CLOSE-BY1B*			AND2A
l	SMALL3	AFTERWARDS1A^*	PARENTS1A	CLOSE-BY1B*	PRESENT-OR-HERE1	$GEST-OFF^*	AND2A
m	[MG]	damit	eltern	nähe	da		und
München (Munich) \| dgskorpus_mue_07 \| 18-30m It’s close to Munich and part of the Jewish history.
r				CLOSE-BY1B*		THERE1*
l				CLOSE-BY1B*	MUNICH1A*		$GEST-OFF^*
m					mü{nchen}
München (Munich) \| dgskorpus_mue_08 \| 18-30f It was the opportunity to see the German national team up close.
r			LIKE3B	CLOSE-BY1B*	$GEST-TO-PONDER1^	SKIN2	CLOSE-BY1B*
l			LIKE3B	CLOSE-BY1B*		SKIN2	CLOSE-BY1B*
m			wie	h{aut}		hautnah
München (Munich) \| dgskorpus_mue_08 \| 18-30f It was the opportunity to see the German national team up close.
r	CLOSE-BY1B*	$GEST-TO-PONDER1^	SKIN2	CLOSE-BY1B*	EXPERIENCE1A
l	CLOSE-BY1B*		SKIN2	CLOSE-BY1B*	EXPERIENCE1A
m	h{aut}		hautnah		erleben
München (Munich) \| dgskorpus_mue_09 \| 61+f When the baby feels that its mother is close and it feels comfortable in the environment, then it's only natural that the baby smiles in its sleep.
r	FEELING2A	MUM7*	FEELING3	CLOSE-BY1B*	$INDEX1	AREA1A^*	SECURE1
l	FEELING2A		FEELING3	CLOSE-BY1B*		AREA1A^*	SECURE1
m	gefühl	mama	gefühl	nah		umgebung	sicher
München (Munich) \| dgskorpus_mue_10 \| 31-45m It’s near/
r				CLOSE-BY1B*
l				CLOSE-BY1B*
m
München (Munich) \| dgskorpus_mue_13 \| 46-60m When the teacher saw me putting down my stuff on a table, he asked me to sit in the front row.
r	TEACHER2*	TO-SAY1*	YOU1*	CLOSE-BY1B*	HERE1
l	TEACHER2*			CLOSE-BY1B*
m	lehrer		du	nähe	hier
München (Munich) \| dgskorpus_mue_13 \| 46-60m In the back, I wouldn’t have been able to hear anything or read lips at all.
r	$INDEX1*	TO-HEAR2*	HERE1	CLOSE-BY1B*	CONVERSATION2^
l				CLOSE-BY1B*	CONVERSATION2^
m		hören	muss		mu{nd} ablesen
Rostock \| dgskorpus_mvp_01 \| 18-30m You can play paintball very close by.
r	$GEST-OFF^	I1*	TO-SEE1	CLOSE-BY1B*	$INDEX1	GOOD1	FOR1
l	$GEST-OFF^			CLOSE-BY1B*
m		ich		[MG]		[MG]	für
Rostock \| dgskorpus_mvp_01 \| 18-30m There is a nice little path around the castle.
r			WAY2A	CLOSE-BY1B*	CASTLE3*	$GEST-OFF^
l	$GEST-OFF^*	BEAUTIFUL1A	WAY2A	CLOSE-BY1B*	CASTLE3*	$GEST-OFF^
m		schön	weg	nah	schloss
Rostock \| dgskorpus_mvp_01 \| 18-30m The harbor with its ships is right next to it.
r				CLOSE-BY1B*		HARBOUR2	SHIP1
l				CLOSE-BY1B*	WITH1A	HARBOUR2	SHIP1
m				nah	mit	hafen	schiff
Rostock \| dgskorpus_mvp_01 \| 18-30m The harbor with its ships is right next to it.
r		HARBOUR2	SHIP1	CLOSE-BY1B*			PRESENT-OR-HERE1*
l	WITH1A	HARBOUR2	SHIP1	CLOSE-BY1B*	WITH1A	ALSO1A	PRESENT-OR-HERE1*
m	mit	hafen	schiff	nah	mit	auch	da
Rostock \| dgskorpus_mvp_01 \| 18-30m They are quite close by, which is nice.
r				CLOSE-BY1B*	GOOD1*	$GEST-OFF^	$GEST-TO-FOLD-ONES-HANDS1^
l				CLOSE-BY1B*	GOOD1*	$GEST-OFF^	$GEST-TO-FOLD-ONES-HANDS1^
m				nahe	gut
Rostock \| dgskorpus_mvp_01 \| 18-30m There is a lake close to where I live.
r		I1*	I2	CLOSE-BY1B*	APARTMENT5	$INDEX1	THERE-IS4
l				CLOSE-BY1B*	APARTMENT5		THERE-IS4
m				[MG]	wohn		gibt
Rostock \| dgskorpus_mvp_01 \| 18-30m It was built because a school is very close by and the pupils can get there fast.
r				CLOSE-BY1B*		DIFFERENT1
l		THERE1	WHY1	CLOSE-BY1B*	TEACHER1^*	DIFFERENT1	$INDEX1
m			warum		schule	andere
Rostock \| dgskorpus_mvp_01 \| 18-30m It was built because a school is very close by and the pupils can get there fast.
r	OR4B			CLOSE-BY1B*
l	OR4B	TO-NEED1*	$INDEX1	CLOSE-BY1B*	FAST3A*	$INDEX1
m	oder			nähe	schnell
Rostock \| dgskorpus_mvp_01 \| 18-30m There are a lot of possibilities to go shopping very close by.
r			TO-SHOP1	CLOSE-BY1B*	$GEST-OFF^
l	MUCH-OR-MANY1B*	MORE1	TO-SHOP1	CLOSE-BY1B*	$GEST-OFF^
m		mehr	einkaufen	nah
Rostock \| dgskorpus_mvp_01 \| 18-30m My village is close to Ludwigslust. That is quite the special city.
r		I1	VILLAGE3*	CLOSE-BY1B*	$INDEX1	GOOD1^*	CITY2
l				CLOSE-BY1B*			CITY2
m			dorf	[MG]		besonderes	stadt
Rostock \| dgskorpus_mvp_01 \| 18-30m Though it is close to the Schlosspark Center it is placed a little in front of it.
r				CLOSE-BY1B*	CASTLE3*	AREA1C^	CENTRE1A*
l			$INDEX1	CLOSE-BY1B*	CASTLE3*	AREA1C^	CENTRE1A*
m				nähe	schlossparkzentrum
Rostock \| dgskorpus_mvp_02 \| 31-45m Close to Rostock: W/ What's it called again?
r	IN1	ROSTOCK2*	HERE1	CLOSE-BY1B*	$ALPHA1:W	$ALPHA1:W	$ALPHA1:N-#-N
l		ROSTOCK2*		CLOSE-BY1B*
m	in	rostock		[MG]	w	w	nien{hagen}
Rostock \| dgskorpus_mvp_02 \| 31-45m Nearby Warnemünde - a bit further to the West: Wilhelmsdorf/
r				CLOSE-BY1B*	$NAME*	DIRECTION2
l				CLOSE-BY1B*	$NAME*		DIRECTION2
m				[MG]	warnemünde
Rostock \| dgskorpus_mvp_03 \| 18-30m Do you know that one monument? It's golden and somehow twisted within itself. It's sited near the Statue of Liberty.
r	GOLD1	$PROD	TO-PUT-FROM-TO1A^*	CLOSE-BY1B*	STATURE-OF-LIBERTY1	TO-PUT-FROM-TO1A^*	$PROD
l		$PROD		CLOSE-BY1B*			$PROD
m	gold			[MG]
Rostock \| dgskorpus_mvp_07 \| 31-45f He needed a visa to do so. Therefore his mother and he had to go somewhere close to Berlin.
r	TOGETHER1A*	TO-DRIVE3*	BERLIN1B*	CLOSE-BY1B*	BERLIN1B*	$INDEX1	VISA1
l	TOGETHER1A*	TO-DRIVE3*		CLOSE-BY1B*			VISA1
m			berlin		berlin		visum
Rostock \| dgskorpus_mvp_07 \| 31-45f We drove pretty close to the border, then we left the car in Spandau.
r	CAR1	ONLY2B	BORDER1B*	CLOSE-BY1B*	$ALPHA1:S-P-S-N-A-U	CAR1	TO-LET2A*
l	CAR1		BORDER1B*	CLOSE-BY1B*		CAR1	TO-LET2A*
m	auto			nah	spandau	auto
Rostock \| dgskorpus_mvp_07 \| 31-45f He crossed the border into the West somewhere close to Hamburg.
r			BORDER1A*	CLOSE-BY1B*	HAMBURG2	$PROD
l			BORDER1A*	CLOSE-BY1B*		$PROD
m			grenze	nah	hamburg
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m It was located right next to the Bremen stadium.
r				CLOSE-BY1B*	WERDER-BREMEN1	STADIUM1	CLOSE-BY1^*
l				CLOSE-BY1B*		STADIUM1	CLOSE-BY1^*
m				[MG]	werder bremen	stadion
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f A colleague of mine lives around the corner, perhaps he’ll be able to pick me up.
r	TO-WORK2	COLLEAGUE4*	$INDEX1	CLOSE-BY1B*	I1*	TO-BRING1B^*
l	TO-WORK2			CLOSE-BY1B*		TO-BRING1B^*
m	arbeit	arbeitskollege		[MG]		bring
Nürnberg (Nuremberg) \| dgskorpus_nue_06 \| 31-45f You live close by.
r			ACTUALLY1A*	CLOSE-BY1B*	FOR-WHAT1*	I2	$GEST^
l				CLOSE-BY1B*			$GEST^
m			[MG]	nahe	wofür
Nürnberg (Nuremberg) \| dgskorpus_nue_06 \| 31-45f I’ll visit you, you live closer [to the deaf community center].
r		I2	TO-VISIT-OR-TO-ATTEND1A*	CLOSE-BY1B*	BOTH1*	I1	TO-VISIT-OR-TO-ATTEND1A*
l	YOU1		TO-VISIT-OR-TO-ATTEND1A*	CLOSE-BY1B*			TO-VISIT-OR-TO-ATTEND1A*
m			[MG]	nahe			[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_09 \| 18-30m I felt queasy and thought about how close it was.
r		FEELING4A^*	TO-KNOW-OR-KNOWLEDGE2A^*	CLOSE-BY1B*	$INDEX1*	CLOSE-BY1B*	$INDEX1*
l				CLOSE-BY1B*		CLOSE-BY1B*
m		[MG]		[MG]		[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_09 \| 18-30m I felt queasy and thought about how close it was.
r	TO-KNOW-OR-KNOWLEDGE2A^*	CLOSE-BY1B*	$INDEX1*	CLOSE-BY1B*	$INDEX1*
l		CLOSE-BY1B*		CLOSE-BY1B*
m		[MG]		[MG]
Schleswig-Holstein \| dgskorpus_sh_08 \| 46-60m Close by, there’s also Lu-/
r				CLOSE-BY1B*	$INDEX1	$ALPHA1:L-U
l				CLOSE-BY1B*
m						lu
Stuttgart \| dgskorpus_stu_03 \| 31-45m I even lived close by.
r			APARTMENT5	CLOSE-BY1B*	$GEST-OFF^
l			APARTMENT5	CLOSE-BY1B*	$GEST-OFF^
m			wohnen
Stuttgart \| dgskorpus_stu_04 \| 61+f Wilhelmsdorf near Ravensburg.
r			CLOSE-BY1^*	CLOSE-BY1B*	$INDEX1
l			CLOSE-BY1^*
m			wilhelm{sdorf}	ravensburg
Stuttgart \| dgskorpus_stu_05 \| 61+m He lived near #Name3.
r			APARTMENT1A	CLOSE-BY1B*	$NAME	SOUTH1A^
l				CLOSE-BY1B*	$NAME
m				[MG]	#name3
Stuttgart \| dgskorpus_stu_05 \| 61+m Do you know #Name3 by/ You know it, don’t you?
r			$NAME	CLOSE-BY1B*	APARTMENT1A*	$INDEX1
l			$NAME	CLOSE-BY1B*
m			#name3 #name3	[MG]	wohnt	da
Stuttgart \| dgskorpus_stu_09 \| 18-30m Well, I commuted to school because we were living quite close to my school.
r	BECAUSE1	APARTMENT5*	I2	CLOSE-BY1B*
l		APARTMENT5*		CLOSE-BY1B*
m	weil	wohnen
Stuttgart \| dgskorpus_stu_09 \| 18-30m I lived only 20 minutes away; so, I chose to commute back and forth.
r	$INDEX1	$GEST^	APARTMENT5*	CLOSE-BY1B*	$NUM-TENS2A:2d*	MINUTE1*	BACK-AND-FORTH1
l		$GEST^	APARTMENT5*	CLOSE-BY1B*		MINUTE1*	BACK-AND-FORTH1
m			wohnen		zwanzig	minute
Stuttgart \| dgskorpus_stu_10 \| 18-30m We spent a lot of time in the forest nearby.
r	TOGETHER7	BEAUTIFUL4*	MOST1A	CLOSE-BY1B*	FOREST-$CANDIDATE-STU31^	I2
l	TOGETHER7			CLOSE-BY1B*
m			mei{stens}	[MG]	wald
Stuttgart \| dgskorpus_stu_12 \| 46-60f You live near Wiesloch?
r			APARTMENT5	CLOSE-BY1B*	YOU1*
l			APARTMENT5	CLOSE-BY1B*
m			wohnen
Stuttgart \| dgskorpus_stu_12 \| 46-60f It's near France, Switzerland and Austria.
r				CLOSE-BY1B*	FRANCE4*	$PROD	FRANCE4*
l				CLOSE-BY1B*		$PROD
m				[MG]	frankreich		frankreich
~ NEIGHBOUR1
Berlin \| dgskorpus_ber_03 \| 46-60f I was very surprised then that the wall had fallen, as was my neighbour #Name4.
r		$GEST^	$NAME	NEIGHBOUR1	TO-LET-KNOW1A*	SURPRISE1*	FALL-OF-THE-BERLIN-WALL2
l		$GEST^	$NAME	NEIGHBOUR1		SURPRISE1*	FALL-OF-THE-BERLIN-WALL2
m		[MG]	??	nachbar			mau{er}fall
Berlin \| dgskorpus_ber_05 \| 61+f That’s why my neighbor had called them for me.
r	$INDEX1*	THEREFORE1*	I2^	NEIGHBOUR1		TO-HELP1*	ALREADY1A*
l				NEIGHBOUR1	HE-SHE-IT1*	TO-HELP1*	ALREADY1A*
m		darum		nachbar		helfen
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor helped me while my husband was at work.
r	I1	THROUGH2A*	MY1	NEIGHBOUR1	TO-HELP1*	MAN1*	STILL4B
l				NEIGHBOUR1
m		durch	mein	nachbar	geholfen	mein mann	noch
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor and I drove to the city hall Charlottenburg because I had received an important form.
r	IMPORTANT1*	FORM1	WITH1A*	NEIGHBOUR1	WITH1A*	TO-GO1A	$INDEX1
l	IMPORTANT1*	FORM1		NEIGHBOUR1
m	wichtig	formular	mit	nachbar
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor was brave enough to just open the door.
r		$INDEX1*	MY1	NEIGHBOUR1	COURAGE2	OPEN-DOOR2
l				NEIGHBOUR1
m			mein	nachbar	mut	tür auf
Berlin \| dgskorpus_ber_05 \| 61+f She was brave and told them that I was deaf and couldn’t understand it without help.
r		$INDEX1	MY1	NEIGHBOUR1	COURAGE2	$GEST-NM-SPEAKING1^	$GEST^
l				NEIGHBOUR1		$GEST-NM-SPEAKING1^	$GEST^
m			mein	nachbar	mut	[MG]
Berlin \| dgskorpus_ber_11 \| 61+m Relating to that, it might also be interesting to note that my neighbor from across the street just had a deaf child.
r		ATTENTION1A^	INTEREST1A	NEIGHBOUR1	OPPOSITE-OF1*	NEIGHBOUR1	OPPOSITE-OF1*
l				NEIGHBOUR1		NEIGHBOUR1
m			interessant was	nachbar		nachbar
Berlin \| dgskorpus_ber_11 \| 61+m Relating to that, it might also be interesting to note that my neighbor from across the street just had a deaf child.
r	INTEREST1A	NEIGHBOUR1	OPPOSITE-OF1*	NEIGHBOUR1	OPPOSITE-OF1*	HIS-HER1	SON1
l		NEIGHBOUR1		NEIGHBOUR1
m	interessant was	nachbar		nachbar		sohn
Berlin \| dgskorpus_ber_11 \| 61+m That neighbor, well, the child’s grandmother, asked me what I thought of CIs.
r			$INDEX1	NEIGHBOUR1	$INDEX1	GRANDMA2*	$INDEX1
l				NEIGHBOUR1
m			und	nachbar		oma
Bremen \| dgskorpus_hb_01 \| 31-45m There were no deaf people near where I used to live.
r	DEAF1A	AT-HOME2	$GEST-OFF^*	NEIGHBOUR1	DEAF1A	$GEST-OFF^
l		AT-HOME2	$GEST-OFF^*	NEIGHBOUR1		$GEST-OFF^
m		haus		nachbar
Köln (Cologne) \| dgskorpus_koe_13 \| 61+m I asked my neighbor to call a taxi for me.
r				NEIGHBOUR1			CAB1
l			I2	NEIGHBOUR1	$INDEX1*	TO-RING-UP1	CAB1
m			war	nachbar		anrufen	taxi
Köln (Cologne) \| dgskorpus_koe_14 \| 61+f In these times I often asked my neighbors, friends and my sister for help.
r	$INDEX1*	MOST1A	I1	NEIGHBOUR1	WELL-KNOWN4	I1*	SISTER1A
l	$INDEX1*			NEIGHBOUR1			SISTER1A
m	[MG]	meist	ich	nachbar	bekannte		schwester
Leipzig \| dgskorpus_lei_12 \| 61+m You could meet new women and girls at the neighbor’s house
r			ALSO3A	NEIGHBOUR1	HOUSE1A*	$INDEX1	WEIRD1
l				NEIGHBOUR1			WEIRD1
m			auch	nachbarhaus			[MG]
München (Munich) \| dgskorpus_mue_03 \| 46-60m Yes, there were some children from the neighborhood as well.
r	ALSO1A*	ALSO1A*	ALSO1A*	NEIGHBOUR1	AREA1A	ALSO1A
l				NEIGHBOUR1
m	auch	auch	auch	nachbarschaft		auch
München (Munich) \| dgskorpus_mue_10 \| 31-45m I went “baa”, and the neighbor heard it and wondered: “Why does #Name1 always go baa?“
r	I1	$GEST-NM^		NEIGHBOUR1			$NAME
l		$GEST-NM^	THEN6*	NEIGHBOUR1	$INDEX1	HEARING1A*	$NAME
m		[LM:mäh]	[MG]	nachbar			#name1
München (Munich) \| dgskorpus_mue_10 \| 31-45m My hearing neighbors spoke badly about this in the end.
r	TO-SPEAK1A	FROM-OR-BY-OR-OF3*	HEARING1A	NEIGHBOUR1	ALL1A*
l				NEIGHBOUR1
m	sprechen	vom	hörend	nachbarn
Schleswig-Holstein \| dgskorpus_sh_03 \| 46-60f Then, two days later I met my neighbor.
r	$NUM-ONE-TO-TEN1A:2d	DAY1B	LATER10	NEIGHBOUR1	I2	PRESENT-OR-HERE1	$INDEX1
l		DAY1B		NEIGHBOUR1
m	zwei	tag	später	nachbar		da
Berlin \| dgskorpus_ber_05 \| 61+f So I immediately went over to my neighbor’s house, a young woman, and asked for her help.
r	I1	TO-GO2A*	MY1*	NEIGHBOUR1*	RESCUE1	BOY6*	WOMAN4A*
l				NEIGHBOUR1*	RESCUE1
m	…	gehen	mein	nachbar		jung	frau
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor complained about them not answering my fax.
r			$INDEX1*	NEIGHBOUR1*	TO-COMPLAIN2*	BOTH1^	CAN1
l
m				nachbar	beschweren	wie	kann
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor was the savior.
r		WAS1*	I2	NEIGHBOUR1*	RESCUE1*	$INDEX1
l					RESCUE1*
m		war	mein	nachbar
Berlin \| dgskorpus_ber_05 \| 61+f Then my neighbor asked somebody sitting next to us, saying that it was taking quite some time.
r			$INDEX1*	NEIGHBOUR1*	$INDEX1*	SELF1A*	TO-SAY1
l			$INDEX1*		$INDEX1*
m				nachbar		selbst	übersetzen
Berlin \| dgskorpus_ber_05 \| 61+f My neighbor was so brave.
r			I1	NEIGHBOUR1*	COURAGE2^	TO-LET-KNOW1A*	COURAGE2
l				NEIGHBOUR1*
m			mei{ne}	nachb{ar}	schaff		mut
Berlin \| dgskorpus_ber_05 \| 61+f I called my neighbor, my other neighbor.
r	I1	TO-RING-UP1*	MY1	NEIGHBOUR1*	$INDEX1*	OPPOSITE-OF1	BEFOREHAND1
l				NEIGHBOUR1*
m		rufen	mein	nachbar		gegenüber
Göttingen \| dgskorpus_goe_02 \| 61+m And I grew up [in an apartment] above an inn. I lived in one of the upper floors and the inn was on the lower floor.
r	$INDEX1	PUB1	I1	NEIGHBOUR1*	ABOVE1	DOWN1	PUB1
l				NEIGHBOUR1*
m	im	wirtschaft	nachbar		oben	unten	wirtschaft
Göttingen \| dgskorpus_goe_04 \| 31-45m Germany is a neighboring country; that‘s why they have German as a mandatory class.
r	$GEST-NM-NOD-HEAD1^*	GERMAN1*	ADDITION1A	NEIGHBOUR1*	BETWEEN1B*	$INDEX1*	NARROW1A^*
l	$GEST-NM-NOD-HEAD1^*			NEIGHBOUR1*	BETWEEN1B*		NARROW1A^*
m		deutsch		nachbar
München (Munich) \| dgskorpus_mue_10 \| 31-45m The families had chicken, too. My mother had three geese, and another family that lived next to us had some cats.
r	GOOSE2*	$LIST1:3of3d	DIFFERENT2*	NEIGHBOUR1*	CAT1A*	$INDEX1
l		$LIST1:3of3d	DIFFERENT2*	NEIGHBOUR1*	CAT1A*
m	…		andere	nachbar	katze
München (Munich) \| dgskorpus_mue_10 \| 31-45m No matter what age, none of my siblings knew what people said about relatives or about neighbors or what was new in general.
r	RELATED2B	$INDEX2*	FROM-OR-BY-OR-OF3*	NEIGHBOUR1*		FROM-OR-BY-OR-OF3*	WHAT1A^
l	RELATED2B			NEIGHBOUR1*	$INDEX1		WHAT1A^
m	verwandte		von	nachbar		von
Nürnberg (Nuremberg) \| dgskorpus_nue_06 \| 31-45f She tells him, “Do you know our young neighbor?
r	YOU1*	$INDEX1	YOUNG2*	NEIGHBOUR1*	$INDEX1
l				NEIGHBOUR1*
m	…		jung	nachbar
~ NEXT-TO2
Berlin \| dgskorpus_ber_04 \| 46-60m Back then I lived in the Karlsruhe area.
r	KARLSRUHE2*	APARTMENT5	I2	NEXT-TO2	LOCATION3^
l	KARLSRUHE2*	APARTMENT5		NEXT-TO2
m	karlsruhe	wohnen		[MG]	nah
Frankfurt \| dgskorpus_fra_14 \| 31-45f That means you are not going to teach big classes anymore, rather small ones and not full-time.
r	FULL2A	TO-TEACH1	ONLY2A	NEXT-TO2	SMALL6	$GEST^
l	FULL2A	TO-TEACH1		NEXT-TO2	SMALL6	$GEST^
m	voll		nur	[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m If it passed by the neighboring countries, it wouldn’t be that bad.
r			$PROD	NEXT-TO2	$PROD	BAD3A*
l			$PROD	NEXT-TO2	$PROD	BAD3A*
m			vor{bei}	neben	[MG]	schlimm
Göttingen \| dgskorpus_goe_10 \| 46-60m People weren’t aware that the proximity of the radiation was dangerous?
r			$INDEX1	NEXT-TO2	$INDEX2*	RADIATION2*	DANGEROUS1A*
l				NEXT-TO2		RADIATION2*	DANGEROUS1A*
m				neben		strahlen	gefahr
Göttingen \| dgskorpus_goe_10 \| 46-60m But in Japan, the power plant is also close to the water/
r	WATER1*	$INDEX1	TO-TAKE1A*	NEXT-TO2	$INDEX1
l			TO-TAKE1A*	NEXT-TO2
m	wasser			neb{en}
Bremen \| dgskorpus_hb_01 \| 31-45m The town hall is quite big, actually. Still, the civil registry office is located next door.
r	NO1A*	GREAT1A*	NEXT-TO1A*	NEXT-TO2	NEXT-TO1B*	RING1A^*	TO-MARRY3A*
l				NEXT-TO2	NEXT-TO1B*	RING1A^*	TO-MARRY3A*
m	[MG]	toll		[MG]	[MG]	standesamt	heiraten
Bremen \| dgskorpus_hb_01 \| 31-45m The rocks the town hall is made of are from there, as well, because the mining area is nearby.
r	HENCE1	YELLOW5	BUILDING-OR-CONSTRUCTION2A*	NEXT-TO2		$GEST-OFF^
l	HENCE1		BUILDING-OR-CONSTRUCTION2A*	NEXT-TO2	$INDEX1*	$GEST-OFF^
m	[MG]	gelb		[MG]
Hamburg \| dgskorpus_hh_07 \| 18-30f It was close by.
r		$INDEX1	$GEST-TO-PONDER1^*	NEXT-TO2	$INDEX1
l				NEXT-TO2
m				ne{ben}
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m I asked him, “Do you need to drive to different locations for your side job?”
r		$INDEX1	HOW-QUESTION1*	NEXT-TO2	TO-WORK1*	JOB1A*	$INDEX1
l				NEXT-TO2	TO-WORK1*
m				neben	arbeit	job
Frankfurt \| dgskorpus_fra_05 \| 46-60m Nepal is in the northeast of India, and Cambodia is down here. Cambodia and India are close-by.
r		$INDEX1*	$INDEX1*	NEXT-TO2*	BACK-AND-FORTH1^*
l				NEXT-TO2*	BACK-AND-FORTH1^*
m		nepal	kambodscha	[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m I thought that you guys in the GDR were closer to it than we were in the west, right?
r	TO-THINK1A	NEXT-TO1B*	$PROD	NEXT-TO2*	$PROD	NEXT-TO2*	BEFOREHAND2
l		NEXT-TO1B*	$PROD	NEXT-TO2*	$PROD	NEXT-TO2*	BEFOREHAND2
m			[MG]			[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m I thought that you guys in the GDR were closer to it than we were in the west, right?
r	$PROD	NEXT-TO2*	$PROD	NEXT-TO2*	BEFOREHAND2	I1*	$INDEX2
l	$PROD	NEXT-TO2*	$PROD	NEXT-TO2*	BEFOREHAND2
m	[MG]			[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m Back then we went from Sievershausen to Beverungen.
r	PAST-OR-BACK-THEN2	$INDEX1	WHISKERS1A^*	NEXT-TO2*	$INDEX1*	$ALPHA1:V
l			WHISKERS1A^*	NEXT-TO2*			$INDEX1
m		[MG]	sievershausen			beverungen
Göttingen \| dgskorpus_goe_10 \| 46-60m Beverungen is located close to Höxter.
r	$ALPHA2:X	$ALPHA1:T-E-R	$INDEX1	NEXT-TO2*	$ALPHA1:H-O	TERRITORY1*	$INDEX1
l	$ALPHA2:X			NEXT-TO2*
m	…			nah	höxter
Bremen \| dgskorpus_hb_06 \| 31-45f You have to think about it. Imagine living right next to a river.
r	APARTMENT5	$GEST^	BRIDGE5A^	NEXT-TO2*	APARTMENT5*
l	APARTMENT5	$GEST^	BRIDGE5A^	NEXT-TO2*	APARTMENT5*
m	wohnung		fluss	[MG]	wohnung
Hamburg \| dgskorpus_hh_04 \| 46-60m And it isn't just that, one pays more and more for utilities as well.
r	NOT3A	$INDEX1	ALSO1A*	NEXT-TO2*	TO-COST1	TO-RISE1^*	$GEST^
l				NEXT-TO2*	TO-COST1		$GEST^
m	nicht	nur	auch	nebenkosten		[MG]
Hamburg \| dgskorpus_hh_04 \| 46-60m My utilities bill keeps growing annually.
r		SELF1A	ALSO1A	NEXT-TO2*	TO-COST1*	EVERYONE1A*	YEAR1B
l				NEXT-TO2*	TO-COST1*
m		selbst	auch	nebenkosten		jedes	jahr
Hamburg \| dgskorpus_hh_04 \| 46-60m If you look at your debts and your utilities bill combined, it's a considerable amount.
r	DEBTS1	TO-PAY3^*	PLUS1*	NEXT-TO2*	TOGETHER6	WHAT-DOES-IT-LOOK-LIKE1	$GEST^
l	DEBTS1		PLUS1*	NEXT-TO2*	TOGETHER6		$GEST^
m	schulden		plus	nebenkosten	zusammen	wie sieht aus
Münster \| dgskorpus_mst_16 \| 61+m I knew one single kid from school. He lived next to me.
r	TO-KNOW-STH-OR-SB1A*	I1	APARTMENT1A*	NEXT-TO2*	$INDEX1
l				NEXT-TO2*
m	kenn		wohnen
München (Munich) \| dgskorpus_mue_03 \| 46-60m He replied that he has been working part-time in this bar for a long time now and it's sort of his full-time job.
r	ALREADY1A*	PAST1^	ALWAYS4A*	NEXT-TO2*	PROFESSION1A*	AND-SO-ON5*	THERE-IS3*
l	ALREADY1A*		ALWAYS4A*	NEXT-TO2*		AND-SO-ON5*	THERE-IS3*
m	schon		immer	nebenberuflich			gibt
Nürnberg (Nuremberg) \| dgskorpus_nue_01 \| 61+m It is next to the bridge.
r				NEXT-TO2*	BRIDGE7*
l				NEXT-TO2*	BRIDGE7*
m				neben	brücke
Schleswig-Holstein \| dgskorpus_sh_01 \| 18-30m People are working in part time more and more, have small side jobs or one-euro jobs.
r	$GEST-OFF^	OR1*	$GEST-OFF^	NEXT-TO2*	JOB1A	$GEST-OFF^	$INDEX1*
l	$GEST-OFF^	OR1*	$GEST-OFF^	NEXT-TO2*		$GEST-OFF^	$INDEX1*
m		oder		nebenjob
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m Now he has a side job.
r	NOW1	$INDEX1	TO-WORK1	NEXT-TO2*	JOB1A*	$INDEX1
l			TO-WORK1	NEXT-TO2*
m	jetzt		arbeit	nebenjob
Stuttgart \| dgskorpus_stu_12 \| 46-60f In W/ There’s one in Rauenberg near the highway.
r				NEXT-TO2*	BORDER1A^*
l	$ALPHA1:W	$ALPHA1:R	$INDEX1	NEXT-TO2*	BORDER1A^*
m		rauenberg		{ne}ben	autobahn
~ SHORT-TERM1
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m If it’s done on short notice, their transmission schedule will be filled already.
r				SHORT-TERM1	$INDEX1	MUCH-OR-MANY1B	OCCUPIED-OR-OWNED1A
l				SHORT-TERM1			OCCUPIED-OR-OWNED1A
m				[MG]		viel	besetzt
Leipzig \| dgskorpus_lei_03 \| 18-30m Others get a month or two. Yet, I get so little time.
r	NARROW1A^	$INDEX1	I1	SHORT-TERM1*	$GEST-TO-PONDER1^	WHAT1B^*	$GEST-NO-IDEA1^*
l	NARROW1A^			SHORT-TERM1*		WHAT1B^*	$GEST-NO-IDEA1^*
m	monat			kurz			[MG]

Report Mistakes