CLOSE-BY1^

	
	962

≙ CLOSE-BY1^ (40 tokens)
by transcript | by glosses | by right neighbours | by left neighbours
1413703 1413703 | 46-60m    At the beach? No, just on the street on the right side.
R				CLOSE-BY1^*	RIVER1^	NO1A	STREET1B
L
M				am	strand		straße
1211515 1211515 | 61+m    Wilhelmsdorf near Ravensburg.
R				CLOSE-BY1^*	CLOSE-BY1B*	$INDEX1
L
M				wilhelm{sdorf}	ravensburg
1428472 1428472 | 61+m    Different volumes and pitches were tested, but I heard nothing.
R			I2	CLOSE-BY1^*	LOUD1A*	LIKE1B*	I1*
L
M					laut	wie	ja
1179212 1179212 | 31-45f    In your class or in your parallel class?
R				CLOSE-BY1^*	OR4A	OUTDOORS1B^	YOU1*
L
M				klasse	oder	parallelklasse
1182801 1182801 | 31-45f    If I don't live long, everything works out money wise.
R				CLOSE-BY1^*	RIGHT-OR-AGREED2*
L
M				[MG]	stimmt
1204877 1204877 | 61+m    I had cyanosis.
R			ATTENTION1*	CLOSE-BY1^*	BLUE11A*
L
M				wegen	blausucht
1584617 1584617 | 61+m    We then had a child.
R			THEN7*	CLOSE-BY1^*	CHILD2	BIRTH2*
L
M			dann		kind
1209309-13425110-13472919 1209309-… | 31-45m    I slept at the boarding school, in the Haydnstraße.
R			I2*	CLOSE-BY1^*	BOARDING-SCHOOL2*	STREET2*
L							I1
M			[MG]		internat	haydnstraße
1212611 1212611 | 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
M	dann	nächste	generation	nachwuchs			auch
1248941-12070517-12233223 1248941-… | 18-30f    Like this one university that’s supposed to be in south Germany near Bad-Kreuznach.
R	$INDEX1	$MORPH-BATH1*	CROSS2A*	CLOSE-BY1^*	UNIVERSITY1
L
M	deutsch{land}	bad kreuznach			uni
1248400 1248400 | 46-60m    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-OFF1^	CLOSE-BY1^*	$INIT-CIRCLE1^*
L						$INDEX2
M	mehr	transparent			obama
1420216 1420216 | 18-30m    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
M		egal	weit	kurz	egal	[MG]	gut
1248400 1248400 | 46-60m    If it's too close, it's dangerous.
R		CLOSE-BY1B*	DANGEROUS1B*	CLOSE-BY1^*	$GEST-OFF1^*
L
M		zu zu zu gefährlich
1432043 1432043 | 46-60m    If you don’t know it, it’s really special and interesting.
R		DONT-KNOW-STH-OR-SB1*	WEIRD-STRANGE1^	CLOSE-BY1^*	INTEREST1B
L
M		kennen		[MG]
1180254 1180254 | 31-45m    That is why I felt quite comfortable in Essen.
R		$INDEX1*	ESSEN-CITY1	CLOSE-BY1^*	BODY1^*
L
M		essen		[MG]
1204891 1204891 | 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
M			froh	ende	kalte	grenze	weg
1205503 1205503 | 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
M		[MG]	[MG]	[MG]	[MG]	[MG]
1184164 1184164 | 61+m    It was located right next to the Bremen stadium.
R	CLOSE-BY1B*	WERDER-BREMEN1	STADIUM1	CLOSE-BY1^*
L
M	[MG]	werder bremen	stadion
1210763 1210763 | 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-COST2B	CLOSE-BY1^*	$INDEX1*	OR5	NOT3A
L
M	[MG]	auch	kosten	[MG]	oder		nicht»
1176846 1176846 | 46-60f    It was close to the beach near (#Ortsname), the party was on the beach. Amazing.
R	$INDEX1	ON-OR-AT1	TO-TAKE-HOLD-OF1A^	CLOSE-BY1^*	AREA1E^	$INDEX-ORAL1	HIGH-RISE1^
L
M		am	strand		??
1248400 1248400 | 46-60m    There is no ocean too close to one in Germany.
R	$INDEX1*	NONE3	OCEAN1B*	CLOSE-BY1^*
L
M	deutschland	kein	meer	zu
1204877 1204877 | 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
M	[MG]	ich	warten		mama	arbeit	warten
1210825 1210825 | 46-60m    I had been under pressure before, but as the deadline approached, it increased even more.
R	STRAIN2*	$PROD	TO-LOOK-AT2*	CLOSE-BY1^*	$INDEX1	A-WHOLE-LOT1^
L
M	belastung			an	[MG]
1250059 1250059 | 18-30f    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
M	stasi		aber		schön	abenteuer
1414123 1414123 | 46-60m    Back then I lived in the Karlsruhe area.
R	$INDEX1*	OBJECT-ON-NECKLACE1^*	SILENCE1*	CLOSE-BY1^*	$INDEX1*	OBJECT-ON-NECKLACE1^*	SILENCE1*
L
M		karlsruhe				karlsruhe
1248862 1248862 | 18-30f    The lift went all the way down.
R				CLOSE-BY1^	TO-ACCOMPANY1A*	ALONE2*	TO-STAND1*
L
M				??		al{lein}	[MG]
1433543 1433543 | 31-45m    One can go skiing there.
R				CLOSE-BY1^	SKI1
L
M					ski
1182062 1182062 | 46-60f    Did you find clothes and stuff easily?
R				CLOSE-BY1^	TO-FIND1A*	CLOTHES1A	TO-FIND1A*
L
M				leicht	finden finden	kleidung	finden finden
1179224 1179224 | 31-45f    There’s this one famous street near the Reeperbahn that’s closed off.
R		REEPERBAHN1	WELL-KNOWN1A	CLOSE-BY1^
L
M		reeperbahn	bekannt
2025500 2025500 | 46-60m    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
M	landesverb{andb}eisitz{er}					aber abteilung	für
1432043 1432043 | 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
M	süder{brarup}	[MG]		noch mal	zehn	kilometer
1584617 1584617 | 61+m    Sure, my wife is deaf in her left ear, but she still hears a bit with her right ear.
R	$GEST-OFF1^	CLEAR1A	MY1	CLOSE-BY1^	$NUM-ONE-TO-TEN1A:1
L						EAR1	DEAF2
M		klar	mein	frau	ein		{er}taubt
1212611 1212611 | 18-30f    But I thought for a long time that I was born deaf.
R	SELF1A*	TO-THINK1A	BIRTH1B	CLOSE-BY1^	DEAF1A
L
M	selbst	gedacht		schon	gehör{los}
1419610-11552205-12003930 1419610-… | 61+m    That was good for him. He moved into a nice apartment for elderly people.
R	APARTMENT1B	GOOD1*	THATS-ALL1A*	CLOSE-BY1^	$INDEX1
L
M	senior{en}wohnung	[MG]	[MG]	stadt
2025500 2025500 | 46-60m    I wouldn’t mind being the auditor or a committee member.
R	TEST1^	TO-CALCULATE1^	OR1	CLOSE-BY1^	TO-SIT-FACING-SB1^
L
M	kassenprüf		oder	beisitz
1433543 1433543 | 31-45m    Or one drives to Ulm to go to Legoland, L-E-G-O.
R			OR5*	CLOSE-BY1^			$ORG-LEGO2
L					$ALPHA1:U-L-M	$INDEX1
M			oder		ulm		legoland»
1433543 1433543 | 31-45m    Austria isn’t far, and then one is already in Italy and can go swimming in the Lake Garda.
R			AUSTRIA1A	CLOSE-BY1^*	THERE1*		CLOSE-BY1A
L						$GEST-OFF1^*
M			österreich				nähe
1433543 1433543 | 31-45m    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		$GEST-OFF1^*			$ALPHA1:G-A
M	schwimmen				gardasee
1204694 1204694 | 61+f    Close to Bad Tölz on the Isar river.
R				CLOSE-BY1^*	WAY-COURSE2^*
L		NEAR1A	OFF-OR-AWAY1*
M		bei	bad tölz	[MG]	isar
1433543 1433543 | 31-45m    … the Augustiner beer garden close to central station.
R	AUGUSTINIAN1		GARDEN2	CLOSE-BY1^*
L		WITH1A*			$MORPH-MAIN1B	TRAIN-STATION7*	$INDEX1
M	augustiner	mit	garten		hauptbahnhof
= SHORT-TERM1B (3 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: short-term
by transcript | by glosses | by right neighbours | by left neighbours
1184756 1184756 | 18-30f    Did you book your flight in advance or go there spontaneously?
R	AFTER-TEMPORAL5*	LONDON1*	OR1*	SHORT-TERM1B	TO-BOOK1	YOU1*
L
M	spontan	london	oder	[MG]
1431277-12422631-12464143 1431277-… | 31-45f    They incorporated my demand in their planning, and it was a full success.
R		TO-PLAN-AND-GO-THROUGH-WITH-STH1	SOMETIME1*	SHORT-TERM1B	$GEST-NM^	SUCCESS1
L
M		[MG]	[MG]	[MG]		[MG]
1427810 1427810 | 18-30f    Just before?
R				SHORT-TERM1B*	$GEST-OFF1^
L
M				kurzfristig
= CLOSE-BY1A (79 tokens)
Mouth: nah
frontal 45° 90° from above
Translational equivalents: close; near by; closeness
by transcript | by glosses | by right neighbours | by left neighbours
1430328 1430328 | 31-45f    Visit the area of the train station.
R				CLOSE-BY1A*	TRAIN-STATION5*	CLOSE-BY1A	$INDEX1
L
M				nahe	bahnhof
1430328 1430328 | 31-45f    And towards the Rhine where it was really windy.
R				CLOSE-BY1A*	WATER1*		$PROD
L						RIVER1^
M				nah	wasser		[MG]
1291892 1291892 | 31-45m    A close island is always a problem, as it just gets flooded.
R				CLOSE-BY1A*	OCEAN1B*	ISLAND2A	ALWAYS4A*
L
M				nah	meer	insel	immer
1432043 1432043 | 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
M				nah	soz{ial}wohnung		soz{ial}
1246681 1246681 | 61+m    It’s in proximity.
R				CLOSE-BY1A*	$GEST-OFF1^
L
M				[MG]	eben
1427810 1427810 | 18-30f    He’s from close to Dortmund.
R				CLOSE-BY1A*		DORTMUND1
L					SOMEWHERE1*
M				[MG]	[MG]	dortmund
1289793 1289793 | 18-30f    From where I live, you have to walk up a hill and there it is.
R				CLOSE-BY1A*	I1	APARTMENT5*
L							TO-WALK8*
M				[MG]	ich	wohne	läuft
1290581 1290581 | 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-LET-GO2*	TO-SWAP3A	AND-THEN2*
L
M							und»
1184756 1184756 | 18-30f    It’s in close proximity to Switzerland, isn’t it?
R				CLOSE-BY1A*	SWITZERLAND1A*
L
M				[MG]	schweiz schweiz schweiz schweiz
1432043 1432043 | 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*	TRADITION4B*
L
M				nähe	dänemark	grenze	traditionell
1211515 1211515 | 61+f    I always went swimming in a nearby creek.
R				CLOSE-BY1A*	PARALLEL1A^*	DOWN1	$INDEX1
L
M				nah	bach	auch	da
1184145 1184145 | 61+m    Selb is located between mountains, so to speak in this U shape.
R			$INDEX1*	CLOSE-BY1A*	IN1	$PROD	$INDEX-ORAL1
L					$INDEX1
M			in selb	[MG]	in	u	u
1432043 1432043 | 46-60m    I live close to the canal.
R			APARTMENT1B*	CLOSE-BY1A*	I1*	CLOSE-BY1A*	$PROD
L
M			wohn	ganz nah		nah
1180254 1180254 | 31-45m    I couldn't stay, I had to go home.
R			I1*	CLOSE-BY1A*	CAN1*	I1	BACK-AND-FORTH1^*
L
M			ich		[MG]
1432043 1432043 | 46-60m    On the well known beaches where there’s a lot going on.
R			MOST1B	CLOSE-BY1A*	WELL-KNOWN1A	TO-TAKE-HOLD-OF1A^*	$PROD
L
M			meist		bekannt	strand	[MG]
1181159 1181159 | 18-30m    But only for this short distance? That would have been rubbish.
R			I2	CLOSE-BY1A*	BACK-AND-FORTH1*	$GEST^	RUBBISH1*
L
M						[MG]	schmarrn
1210763 1210763 | 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	WE3	$ORG-DISNEY1*
L
M	alt	nahe	zwanzig				disneyland»
1179224 1179224 | 31-45f    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
M		aber	quelle		[MG]		bismarck»
1432043 1432043 | 46-60m    You can usually get them in close proximity to the beach.
R		MOST1B	MOST1B*	CLOSE-BY1A*	BEACH4*	$INDEX1*
L
M		meist	meist	nah	strand
1179224 1179224 | 31-45f    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
M		fernsehturm		[MG]		schlachter	[MG]
1432043 1432043 | 46-60m    I live close to the canal.
R	APARTMENT1B*	CLOSE-BY1A*	I1*	CLOSE-BY1A*	$PROD
L
M	wohn	ganz nah		nah
1419607 1419607 | 61+m    So, it was in Hiroshima, really close to where the bomb was dropped.
R	NUCLEAR1	$ALPHA1:H	NUCLEAR1	CLOSE-BY1A*	$INDEX1
L
M		hiroshima	atom	nähe
1428805 1428805 | 31-45m    On farms they grow them naturally, you’re right.
R	WHAT1A^*	NATURE6A*	TO-BELONG1*	CLOSE-BY1A*	FARMER1*	RIGHT-OR-AGREED1A*
L
M	[MG]	natur		[MG]	bauer
1430328 1430328 | 31-45f    I live directly in the city but also close to the city boundary.
R	AREA1A^*	BORDER1A	ALSO3A	CLOSE-BY1A*
L
M		grenze	auch	[MG]
1209746 1209746 | 18-30m    Before, I always thought Taiwan and Thailand were close, but they're really far away from each other.
R	TO-KNOW-STH2B^	TAIPEI1^*	THAILAND1	CLOSE-BY1A*	BUT1*	$ORAL^	SERIOUS1A
L
M		taiwan	thailand	nah	a{ber}	ernst
1432043 1432043 | 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						ROUND-THE-CORNER1*
M	soz{ial}wohnung		soz{ial}	nah			ich
1209309-13425110-13472919 1209309-… | 31-45m    The Haydnstraße is directly next to the Oktoberfest.
R		STREET1A*		CLOSE-BY1A*	OKTOBERFEST1	BACK-AND-FORTH1^*
L	$INIT-STRAIGHT1^*		I1*
M	haydnstraße		[MG]	nah	oktoberfest
1413451-11105600-11163240 1413451-… | 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
M		frankfurt		[MG]		[MG]	außerhalb
1292458 1292458 | 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
M	familie		ich	nahe
1211283 1211283 | 31-45f    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
M	kann	disco	da	[MG]	um die e{cke}	da	kneipe
1432043 1432043 | 46-60m    From Australia, Turkey, Italy, Austria, Denmark, that’s really close by.
R	AUSTRIA1A*	$GEST-OFF1^	DENMARK1	CLOSE-BY1A*
L
M	österreich		dänemark	nah
1245820 1245820 | 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
M	fahrtkosten		[MG]	[MG]
1413451-11105600-11163240 1413451-… | 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
M		[MG]		[MG]	außerhalb	frankfurt	gut
1212416 1212416 | 31-45f    In the bar, someone pointed Puttrich out to me.
R				CLOSE-BY1A	BAR7	$PROD	AREA1A^*
L
M					bar
1427368 1427368 | 46-60m    There also is a repair workshop for steam locomotives.
R				CLOSE-BY1A	$INDEX1	OLD2C*	TIME7A*
L
M				nähe	gibt	alte	zeit
1292458 1292458 | 18-30m    They’re short lines.
R				CLOSE-BY1A	BACK-AND-FORTH1*	$INDEX1
L
M				[MG]
1212402 1212402 | 31-45f    Then, finally, it was time to go to school.
R				CLOSE-BY1A	MOTIVATION1	THERE1*
L
M				nahe
1432043 1432043 | 46-60m    It’s close to my workplace.
R				CLOSE-BY1A	TO-WORK1*	$PROD
L
M				nah	arbeit
1433543 1433543 | 31-45m    That’s close to Füssen.
R			$NAME	CLOSE-BY1A
L					$INDEX1
M			füssen
1184145 1184145 | 61+m    I live very close to the border of the Czech Republic.
R			ATTENTION1A^	CLOSE-BY1A	BORDER1B*	CZECH-REPUBLIC1	I2
L
M			[MG]	[MG]	grenz	tschechien
1432043 1432043 | 46-60m    That’s no problem, because everything is close by and it’s very beautiful there.
R			NONE7A	CLOSE-BY1A	$INDEX1	BEAUTIFUL1A
L
M			[MG]	problem		schön
1245887 1245887 | 61+f    Just around the corner.
R			I2	CLOSE-BY1A	$GEST-OFF1^*
L
M
1432043 1432043 | 46-60m    Nordstrand, that’s just around the corner.
R			$GEST-NM-NOD-HEAD1^	CLOSE-BY1A	ROUND3A^
L
M			nordstrand
1210825 1210825 | 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
M	in	deutschland	münchen
1585286 1585286 | 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	BECAUSE1	WE1B*	APARTMENT5	CLOSE-BY1A	NARROW1A^*
L
M	weil	wir	wohnen	[MG]	elbe
1420216 1420216 | 18-30m    It's close to Stendal.
R		CLOSE-BY1B*	STENDAL1*	CLOSE-BY1A
L
M		[MG]	stendal	[MG]
1248862 1248862 | 18-30f    “I’m asking because you didn’t react when I waved at you.”
R		I2	REASON4B	CLOSE-BY1A	TO-SIT1A*	TO-WAVE1	NONE7B
L
M				[MG]	[MG]		[MG]
1428805 1428805 | 31-45m    As you know the doctor is right around the corner.
R		I1	TO-KNOW-STH2A	CLOSE-BY1A	ROUND-THE-CORNER1*	PHYSICIAN1	$INDEX1
L
M		weiß		[MG]		arzt
1430328 1430328 | 31-45f    Visit the area of the train station.
R		CLOSE-BY1A*	TRAIN-STATION5*	CLOSE-BY1A	$INDEX1	TO-VISIT1*
L
M		nahe	bahnhof			[MG]
1179224 1179224 | 46-60f    For example what you just proposed could also be interesting.
R		$INDEX1	TO-GIVE2^	CLOSE-BY1A	AREA1A		$INDEX1
L						GOOD1*
M		beisp{iel}		wohn			da
1420216 1420216 | 18-30m    My family also lives close to Dresden.
R	MY4	FAMILY4	ALSO1A*	CLOSE-BY1A	DRESDEN1	CLOSE-BY1A	ALSO1A*
L
M	mein	familie	auch	nah	dresden		auch
1429310 1429310 | 31-45f    I eventually moved closer to Cologne.
R	I2*	TO-MOVE1*	COLOGNE3*	CLOSE-BY1A
L
M			köln
1292458 1292458 | 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
M	abhängig		familie		ich	nahe
1420216 1420216 | 18-30f    I am from Tangerhütte which is also close by the river; really, it's nearby.
R			$ALPHA1:T	CLOSE-BY1A	TO2^*	AND2A*	CLOSE-BY1B*
L	ALSO1A	I1
M	auch		tangerhütte	nähe	nah	und	nähe
1432043 1432043 | 46-60m    Usually in the villages in the surrounding areas, that’s really well-known.
R	MOST1B*	VILLAGE3*		CLOSE-BY1A	WELL-KNOWN1A		TO-GROPE-AROUND1^
L			TO-PUT-FROM-TO1B^*			LOCATION1A^*
M	meist	dörfer		nah	bekannt
1246681 1246681 | 46-60m    It’s also close by my family home.
R	BUT1*	ALSO3A*	I1*	CLOSE-BY1A		$GEST-OFF1^
L					FAR1		$INDEX1
M	aber	auch		[MG]	nicht so weit
1427810 1427810 | 18-30m    Her parents live close to Frankfurt.
R	PARENTS1A	APARTMENT1A	FRANKFURT1	CLOSE-BY1A
L					IN1
M	eltern	wohnt	frankfurt
1181159 1181159 | 31-45m    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
M	bayern	nürnberg		[MG]	chance		[MG]
1420216 1420216 | 18-30m    My family also lives close to Dresden.
R	ALSO1A*	CLOSE-BY1A	DRESDEN1	CLOSE-BY1A	ALSO1A*
L
M	auch	nah	dresden		auch
1248625-15324720-15465943 1248625-… | 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
M	braunschweig	speziell				harz
1179224 1179224 | 31-45f    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
M	sagt		quelle	[MG]	bismarck		außerhalb
1584617 1584617 | 61+m    It was a deaf-blind boy who lived nearby my place.
R	BOY13*	SMALL5	APARTMENT1B*	CLOSE-BY1A	I1*	$INDEX1*
L
M	bub		wohnt	[MG]
1209309-13425110-13472919 1209309-… | 31-45m    It’s close to one another, I could always walk back and forth.
R				CLOSE-BY1A		BACK-AND-FORTH1^	$GEST-OFF1^
L					I1
M				[MG]
1432043 1432043 | 46-60m    It’s close to the border to Denmark, right?
R				CLOSE-BY1A	BORDER1A*	DENMARK1*	$INDEX1
L
M					grenze	dänemark
1289793 1289793 | 18-30f    It’s red, really close by.
R				CLOSE-BY1A
L			RED1A
M			rot
1582654 1582654 | 18-30m    It is north of the Niagara Falls.
R				CLOSE-BY1A
L			$INDEX1		$PROD	$ALPHA1:N-I-A-G-#-A	WATER1
M				[MG]	[MG]	niag{a}ra	wasserfall»
1179224 1179224 | 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*	SCHOOL1C	I2*
L	I1
M		#name2		[MG]	gehör{los}	schule»
1244796 1244796 | 31-45m    What I find interesting as well is that ASL is more similar to its spoken equivalent.
R		WORD3*	BIT2A*	CLOSE-BY1A	BOTH1*
L	HEARING1A				$NUM-ONE-TO-TEN1A:2*
M	hören		bisschen	nah
1245462 1245462 | 18-30m    Because my father lived close, I sent him a text asking him to drop by.
R				CLOSE-BY1A
L		FATHER1*	TO-SEND-OR-TO-DISPATCH2		FROM-TO3*	I1	TO-SEND-OR-TO-DISPATCH2*
M		vater		[MG]
1433543 1433543 | 31-45m    A smaller one is by the Michaelibad [Munich’s biggest indoor swimming pool].
R		$NAME	TO-BATH1B*	CLOSE-BY1A
L	$GEST-TO-PONDER1^				$INDEX1
M		micha{eli}	bad
1433543 1433543 | 31-45m    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			$GEST-OFF1^*		ITALY1*
M	österreich			nähe	italien	fahr	schwimmen
1244796 1244796 | 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*	BIT2A*
L					HEARING1A
M		a-s-l		nah	hören		bisschen
1250966 1250966 | 31-45f    We took the boat from Dömitz and drove to the other side and went shopping there.
R				CLOSE-BY1A*		$INDEX1*	SHIP1
L					$ALPHA1:D
M				[MG]	dömitz		schiff
1246681 1246681 | 46-60m    He lived so close to me that we always greeted one another.
R				CLOSE-BY1A*	TO-LET1^*		TO-GREET2
L			I1*			TO-GREET2
M				[MG]	oft
1433543 1433543 | 31-45m    Just around the corner, in the cosmopolitan city with heart.
R			LIKE3A*	CLOSE-BY1A*	WORLD1	CITY2	WITH1A*
L
M			wie	nah	weltstadt		mit
1246681 1246681 | 46-60m    That’s really famous; it’s a delicacy from Deidesheim.
R			ROUND4B^	CLOSE-BY1A*
L		WELL-KNOWN4*			$ALPHA1:D-#
M		bekannt		[MG]	deidesheim
1244581 1244581 | 18-30m    Hotels were destroyed and all the cities near the sea, as well.
R	TO-DESTROY1*		CITY2*	CLOSE-BY1A*	OCEAN2A*	TO-DESTROY1*
L		ALL1A*
M	[MG]	alle	stadt stadt	[MG]	meer	[MG]
1249741 1249741 | 18-30f    They don't need to take the tram. One can get there really fast.
R		TO-DRIVE1*	TO-NEED1*	CLOSE-BY1A*
L	STREETCAR2A				SHORT3A*
M	straß{en}bahn	fahren	braucht nicht	kurz
1246681 1246681 | 46-60m    He lived so close to me that we always greeted one another.
R		TO-GREET2		CLOSE-BY1A*		$GEST-OFF1^	OKAY3*
L	TO-GREET2		I2		TO-WAVE1
M			wohn	nah			okay
~ SHORT-TERM1A (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: short-term
by transcript | by glosses | by right neighbours | by left neighbours
1582654 1582654 | 18-30m    Others get a month or two. Yet, I get so little time.
R	NARROW1A^*	$INDEX1	I1	SHORT-TERM1A*	$GEST-TO-PONDER1^	WHAT1B^*	$GEST-NO-IDEA1^*
L
M	monat			kurz			[MG]
1177860 1177860 | 61+m    If it’s done on short notice, their transmission schedule will be filled already.
R				SHORT-TERM1A	$INDEX1	MUCH1B	OCCUPIED-OR-OWNED1A
L
M				[MG]		viel	besetzt
~ CLOSE-BY1B (192 tokens)
Mouth: nah
frontal 45° 90° from above
Translational equivalents: closeness; close; near by
by transcript | by glosses | by right neighbours | by left neighbours
1211515 1211515 | 61+m    Wilhelmsdorf near Ravensburg.
R			CLOSE-BY1^*	CLOSE-BY1B*	$INDEX1
L
M			wilhelm{sdorf}	ravensburg
1413703 1413703 | 46-60m    Close by the main station.
R	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*	CLOSE-BY1B*	$INDEX1	$GEST-OFF1^*
L
M	bahnhof		hotel
1420216 1420216 | 18-30m    It's close to Stendal.
R				CLOSE-BY1B*	STENDAL1*	CLOSE-BY1A
L
M				[MG]	stendal	[MG]
1247525 1247525 | 61+f    It's really close by from where I live.
R				CLOSE-BY1B*	I1	DOWN1^	$INDEX1*
L
M				nah		in der nähe
1248400 1248400 | 46-60m    If it's too close, it's dangerous.
R				CLOSE-BY1B*	DANGEROUS1B*	CLOSE-BY1^*	$GEST-OFF1^*
L
M				zu zu zu gefährlich
1180254 1180254 | 31-45m    It was just so close.
R				CLOSE-BY1B*	LOCATION1A^*
L
M				[MG]
1180339-16161232-16363818 1180339-… | 31-45m    Most of the finds are located north-west of Bramsche.
R				CLOSE-BY1B*	OSNABRÜCK1	$ALPHA1:E-R	$CUED-SPEECH:SCH1
L					$INDEX1		$PROD
M				[MG]	osnabrücker		bramsche»
1181011 1181011 | 31-45f    He wanted to be close to his people.
R				CLOSE-BY1B*
L
M				nah
1183720-17021701-17054739 1183720-… | 61+m    It was quite close to Buchen/
R				CLOSE-BY1B*	$INDEX1*	TO-OPEN-BOOK1^
L
M				[MG]	erfurt	buch{enwald}
1427158-11470746-12015917 1427158-… | 18-30m    It's located close to Africa.
R				CLOSE-BY1B*	AFRICA1	AREA1A^*
L
M				[MG]	afrika
1289868 1289868 | 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
M				[MG]	jeden tag aber		trotzdem»
1249951 1249951 | 31-45f    Nearby Warnemünde - a bit further to the West: Wilhelmsdorf/
R				CLOSE-BY1B*	$NAME*	RIGHT3
L							LEFT3
M				[MG]	warnemünde
1184164 1184164 | 61+m    It was located right next to the Bremen stadium.
R				CLOSE-BY1B*	WERDER-BREMEN1	STADIUM1	CLOSE-BY1^*
L
M				[MG]	werder bremen	stadion
1432043 1432043 | 46-60m    Close by, there’s also Lu-/
R				CLOSE-BY1B*	$INDEX1	$ALPHA1:L-U
L
M						lu
1413925 1413925 | 46-60f    It was nearby the Heinrich-Heine-Straße [street name].
R				CLOSE-BY1B*	$INDEX1	$PROD	$GEST-TO-PONDER1^
L
M				[MG]
1419931 1419931 | 31-45f    Yes, I always go to a place near Beelitz.
R				CLOSE-BY1B*	AREA1A	$INDEX1	TO-DRIVE3
L
M							[MG]»
1180339-16161232-16363818 1180339-… | 31-45m    A nature park is located in the South-West, near Wildeshausen.
R				CLOSE-BY1B*	GAME-ANIMALS6^	$MORPH-HAUSEN1*	NATURE6A*
L
M				[MG]	wildeshausen		natur
1180339-16161232-16363818 1180339-… | 31-45m    There are some great opportunities for biking nearby.
R				CLOSE-BY1B*	POSSIBLE1*	RIGHT-OR-AGREED1A
L
M				[MG]	möglich	stimmt
1429964 1429964 | 61+f    How far?
R				CLOSE-BY1B*	YOU1	HOW-MUCH3A*	TO2*
L
M				aber		wie viel
1430328 1430328 | 31-45m    Really everything that is close by. I wouldn't drive far away.
R				CLOSE-BY1B*	CLEAR1B*	FAR-FAR-AWAY1*
L
M				nah	klar	[MG]
1430328 1430328 | 31-45m    They are right next to each other.
R				CLOSE-BY1B*	$INDEX1*	LOCATION1A^*
L
M				nah	beide
1582399-11073030-11154047 1582399-… | 61+f    It's close to Marie/ In the district Marienburg.
R				CLOSE-BY1B*	TO-SAY3*	CLOSE-BY1B*	DOTS-ON-THE-FACE1B^*
L
M							[MG]
1584545 1584545 | 31-45f    It is close to Zittau/
R				CLOSE-BY1B*	$ALPHA1:Z-I-T-T-A-U
L
M				[MG]	zittau
1182062 1182062 | 46-60f    It's near France, Switzerland and Austria.
R				CLOSE-BY1B*	FRANCE4*		FRANCE4*
L						$PROD
M				[MG]	frankreich		frankreich
1246772 1246772 | 31-45f    True, I sat very close to the stage.
R			I1	CLOSE-BY1B*	TO-SIT1A	RIGHT-OR-AGREED1B
L
M				nah
1180254 1180254 | 31-45m    From my home I had to walk only five minutes to get there.
R			I1	CLOSE-BY1B*	$NUM-ONE-TO-TEN1A:5	MINUTE2B	BY-FOOT2*
L
M			aber	[MG]	fünf	minuten	zu fuß
1427158-11470746-12015917 1427158-… | 18-30m    I went there with my sister and two deaf friends. We toured the island with motorcycles.
R			ISLAND2A	CLOSE-BY1B*	BEEN1*	I2	TOGETHER1A*
L
M			insel	[MG]	gewesen
1430328 1430328 | 31-45f    This city is close to where I live.
R			I2	CLOSE-BY1B*	$INDEX1*
L
M				[MG]
1205168 1205168 | 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
M			wie	h{aut}		hautnah
1187152 1187152 | 31-45f    You live close by.
R			ACTUALLY1A*	CLOSE-BY1B*	FOR-WHAT1*	I2	$GEST^
L
M			[MG]	nahe	wofür
1248941-12070517-12233223 1248941-… | 18-30f    Classes should be close to home, of course.
R			CLEAR1A*	CLOSE-BY1B*	APARTMENT5	TO-NEED1	CLOSE-BY1B*
L
M			klar	nah	wohnung	brauch	[MG]
1204877 1204877 | 46-60m    I found a job really close by.
R			THEN4	CLOSE-BY1B*	TO-WORK2*	TO-FIND1D
L
M			dann	[MG]	arbeit	gefunden
1210206-12000807-12040142 1210206-… | 61+f    That’s close, it’s not that far to Marktl. [birthplace of Pope Benedict XVI]
R			I1	CLOSE-BY1B*	NOT3A*	FAR1*	FROM-TO3
L
M				nahe	nicht	weit
1250966 1250966 | 31-45f    He crossed the border into the West somewhere close to Hamburg.
R			BORDER1A*	CLOSE-BY1B*	HAMBURG2	$PROD
L
M			grenze	nah	hamburg
1211283 1211283 | 31-45m    I even lived close by.
R			APARTMENT5	CLOSE-BY1B*	$GEST-OFF1^
L
M			wohnen
1204191 1204191 | 61+m    He lived near #Name3.
R			APARTMENT1A	CLOSE-BY1B*	$NAME	SOUTH1A^
L
M				[MG]	#name3
1204191 1204191 | 61+m    Do you know #Name3 by/ You know it, don’t you?
R			$NAME	CLOSE-BY1B*	APARTMENT1A*	$INDEX1
L
M			#name3	[MG]	wohnt	da
1427368 1427368 | 46-60m    In the past I had a general practitioner near Kerpen.
R	HOUSE1B*	PHYSICIAN1*	$INDEX1	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B	$INDEX1
L
M	hausarzt					bei kerpen
1430328 1430328 | 31-45f    I saw two or three foxes on the street before.
R	$INDEX1	CAR1*	$PROD	CLOSE-BY1B*	$INDEX1
L
M		auto			da
1250061-12113327-12180631 1250061-… | 18-30f    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
M	gold			[MG]
1419931 1419931 | 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
M			schule	nah
1180254 1180254 | 31-45m    He has two children and lives in #Name1, near #Name2.
R	CLOSE-BY1B*	$NAME	$INDEX1	CLOSE-BY1B*	$GEST-OFF1^*
L
M	nähe	#name2		[MG]	[MG]
1248699 1248699 | 18-30f    It’s because those ares are close to sinkholes.
R	MIDDLE2B*	IN1^*	HOLE1A*	CLOSE-BY1B*
L
M	erdloch			nahe
1250966 1250966 | 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
M			berlin		berlin		visum
1247525 1247525 | 61+f    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
M	eon	elektrik		[MG]		??	geschäft
1246100 1246100 | 18-30m    Imagine, beside the school for the deaf in Frankfurt (Main) there would be one in Friedberg and another one in Bad Camberg, all relatively close together.
R	OVER-OR-ABOUT1^	$NUM-ONE-TO-TEN1A:1*	BUT1	CLOSE-BY1B*	$INDEX1*
L
M	bad camberg	eins	aber	[MG]
1180254 1180254 | 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
M			geben	nah			immer
1180339-16161232-16363818 1180339-… | 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				LOCATION3*
M		d{eponie}	von	[MG]	osnabrück		[MG]
1429709-16344227-16451821 1429709-… | 46-60f    We got out directly in front of the hotel and went straight in.
R		THEN1C	HOTEL6	CLOSE-BY1B*	TO-GET-OUT1A	INTO2*	ABOVE1
L
M			hotel	[MG]		hotel
1430328 1430328 | 31-45f    The city I live in is close to a mine.
R		I2	APARTMENT1A*	CLOSE-BY1B*	LOCATION1B^*	$INDEX1*	$INDEX1*
L
M			wohn		[MG]
1583964 1583964 | 31-45f    Dessau, do you know it?
R				CLOSE-BY1B*
L		IN1*	$ALPHA1:D		TO-KNOW-STH2A*	YOU1*	$ALPHA1:D
M			dessau		weißt	du	dessau
1583964 1583964 | 31-45f    The restaurant I worked for is situated right on the banks of the Elbe.
R		I1*	I2*	CLOSE-BY1B*	$PROD	TO-CLEAN5	RESTAURANT1
L
M				[MG]		putzen	restaurant
1209746 1209746 | 18-30m    I felt queasy and thought about how close it was.
R		FEELING4A^*	TO-KNOW-STH2A^*	CLOSE-BY1B*	$INDEX1*	CLOSE-BY1B*	$INDEX1*
L
M		[MG]		[MG]		[MG]
1413703 1413703 | 46-60m    Close by the main station.
R		CLOSE-BY1B	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*	CLOSE-BY1B*	$INDEX1
L
M			bahnhof		hotel
1419607 1419607 | 61+m    The incident did not occur right there though, just in the area.
R		HERE1	$INDEX1	CLOSE-BY1B*	$INDEX1	AREA1A*	CLOSE-BY1B*
L
M				nahe
1419931 1419931 | 31-45f    Spandau? No, Spandau is close to Falkensee, way too close.
R		$GEST-NM-SHAKE-HEAD1^	$ORAL^	CLOSE-BY1B*	SPANDAU1*	TO2^*	LAZY1^
L
M			spandau	[MG]	spandau
1180339-16161232-16363818 1180339-… | 31-45m    Being close to the North Sea is one advantage.
R		ADVANTAGE1	$GEST^	CLOSE-BY1B*	WHAT1A	NORTH1A	LAKE1B*
L
M		[MG]		[MG]		nordsee
1430328 1430328 | 31-45m    I have an uncle who lives near Dresden.
R		UNCLE3A*	APARTMENT5*	CLOSE-BY1B*	DRESDEN1	$GEST-OFF1^*
L
M		onkel	wohn	[MG]	dresden
1582399-11073030-11154047 1582399-… | 61+f    It's close to Marie/ In the district Marienburg.
R		CLOSE-BY1B*	TO-SAY3*	CLOSE-BY1B*	DOTS-ON-THE-FACE1B^*	CIRCLE1A	DOTS-ON-THE-FACE1B^
L
M					[MG]	kreis	marienburg»
1292545 1292545 | 31-45f    We approached each other and bonded right away.
R		ALREADY1A*	FEELING3	CLOSE-BY1B*	ALREADY1B*
L
M		schon	fühl	nah	schon
1249741 1249741 | 18-30m    There is a lake close to where I live.
R		I1*	I2	CLOSE-BY1B*	APARTMENT5	$INDEX1	THERE-IS4
L
M				[MG]	wohn		gibt
1249741 1249741 | 18-30m    My village is close to Ludwigslust. That is quite the special city.
R		I1	VILLAGE3*	CLOSE-BY1B*	$INDEX1	GOOD1^*	CITY2
L
M			dorf	[MG]		besonderes	stadt
1247835 1247835 | 46-60f    I was used to being close to my mother and my father.
R	HABIT2*	MUM6	DAD1A*	CLOSE-BY1B*
L
M	gewöhnt	mama	papa	[MG]
1248699 1248699 | 18-30f    It’s because those ares are close to sinkholes.
R	EARTH-PLANET2*	REASON4B*	EARTH-PLANET2*	CLOSE-BY1B*	EARTH-PLANET2	IN1*	ROUND6B^
L
M		grund		nahe	erde	im
1180254 1180254 | 31-45m    Well, I lived near my school.
R	$GEST-OFF1^*	PROBLEM1	I1	CLOSE-BY1B*
L
M	aber	problem		[MG]
1430328 1430328 | 31-45f    I live very close by and it was really beautiful.
R	I2*	BEAUTIFUL1A	I1*	CLOSE-BY1B*	$INDEX1*	LOCATION1A^*
L
M		schön		[MG]		[MG]
1430396 1430396 | 46-60m    Right, the Eifel, to Monschau.
R	EIFEL1*	AREA1A*	$GEST-OFF1^*	CLOSE-BY1B*	$INDEX-ORAL1	$ALPHA1:M*	$INDEX-ORAL1
L
M	eifel			[MG]	monschau
1583964 1583964 | 31-45f    There was mud everywhere.
R	$GEST-DECLINE1^*			CLOSE-BY1B*		TO-TAKE-HOLD-OF1B^	AREA1D^*
L		I1*	IF-OR-WHEN1A		MEANING1*
M				[MG]	bedeutet	schlamm
1584855 1584855 | 46-60m    That was in Blankenburg close to Werningerode.
R	IN1*	SHINING1A*	$INDEX-ORAL1	CLOSE-BY1B*	NOSE1A^*	IN1^*
L
M	in	blankenburg		[MG]	wernigerode	blanken{burg}
1187152 1187152 | 31-45f    I’ll visit you, you live closer to it.
R		I2	TO-VISIT-OR-TO-ATTEND1A*	CLOSE-BY1B*	BOTH1*	I1	TO-VISIT-OR-TO-ATTEND1A*
L	YOU1
M			[MG]	nahe			[MG]
1419931 1419931 | 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
M			beelitz		beelitz
1212218 1212218 | 46-60m    I’d like to travel to India or to a country close to India.
R	INDIA3	$INDEX1	AREA1A^*	CLOSE-BY1B*
L
M	indien
1180254 1180254 | 31-45m    He has two children and lives in #Name1, near #Name2.
R	$NUM-ONE-TO-TEN1A:2	CHILD2*	$INDEX1	CLOSE-BY1B*	$GEST-OFF1^	$INDEX1	APARTMENT5*
L
M	zwei	kinder		[MG]			wohnen
1180254 1180254 | 31-45m    That is why you didn't have to ponder over that.
R	$INDEX1*		$INDEX1	CLOSE-BY1B*	CLUELESS1A	$GEST-AGREEMENT1^
L		LIKE-THIS1^*
M	[MG]			[MG]
1180339-16161232-16363818 1180339-… | 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
M	[MG]	black	box	[MG]	um
1430396 1430396 | 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
M	oder	allein		[MG] n{ah}	zw{ei}hund{ert}	meter
1289910 1289910 | 18-30f    Nearby places can also be nice.
R	$INDEX1	CAN1*	ALSO1A	CLOSE-BY1B*	BEAUTIFUL1A
L
M		kann	auch	nah	schön
1249741 1249741 | 18-30m    You can play P-A-I-N-T-B-A-L-L, paintball, very close by.
R	$GEST-OFF1^	I1*	TO-SEE1	CLOSE-BY1B*	$INDEX1	GOOD1	FOR1
L
M		ich		[MG]		[MG]	für
1181159 1181159 | 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
M			wohnen		zwanzig	minute
1180097 1180097 | 18-30m    I was lucky, that the driving school was close to Essen.
R	LUCK2	$INDEX1	ESSEN-CITY1	CLOSE-BY1B*	LUCK2*	$GEST-OFF1^
L
M	glück		essen	nah	glück
1179224 1179224 | 31-45f    But they do not get the water right there. It is a little further away.
R	$INDEX1*	CLOSE-BY1A*	AREA1C^*	CLOSE-BY1B*	$ALPHA1:B*	NOT3A	GAP-OR-DISTANCE5
L
M	quelle		[MG]		bismarck		bisschen weit»
1430328 1430328 | 31-45f    I used to go there a lot because it was close by.
R			BACK-AND-FORTH1*	CLOSE-BY1B*
L	MOST1A	I1
M	meist			nähe
1430328 1430328 | 31-45f    I always rode my bike because everything was close by.
R	I1	BICYCLE1*	BACK-AND-FORTH1*	CLOSE-BY1B*	$GEST^
L
M		fahrrad		[MG]
1430328 1430328 | 31-45f    In Düsseldorf the historical part is right next to the Rhine.
R	CITY2	ALSO3A*	RHINE-RIVER1*	CLOSE-BY1B*	AREA1A^*
L
M	altstadt	auch	rhein
1431690 1431690 | 31-45m    The city center is close to the river Mosel.
R	CENTRE1B*	CENTRE1A	$INDEX1*	CLOSE-BY1B*	MOSELLE1
L
M	zentral			nah	mosel
1205168 1205168 | 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
M	h{aut}		hautnah		erleben
1205503 1205503 | 46-60f    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	SURROUNDING1A*	SECURE1
L
M	gefühl	mama	gefühl	nah		umgebung	sicher
1249951 1249951 | 31-45f    Close to Rostock: W/ What's it called again?
R	IN1	ROSTOCK2*	HERE1	CLOSE-BY1B*	$ALPHA1:W	$ALPHA1:W	$ALPHA1:N-#-N
L
M	in	rostock		[MG]	w	w	nien{hagen}
1209746 1209746 | 18-30m    I felt queasy and thought about how close it was.
R	TO-KNOW-STH2A^*	CLOSE-BY1B*	$INDEX1*	CLOSE-BY1B*	$INDEX1*
L
M		[MG]		[MG]
1181602 1181602 | 18-30m    We spent a lot of time in the forest nearby.
R	TOGETHER7	BEAUTIFUL1A*	MOST1B*	CLOSE-BY1B*	FOREST-$CANDIDATE-STU31^	I2
L
M			mei{stens}	[MG]	wald
1419931 1419931 | 31-45f    Palermo is a city, as well, but it’s near the sea.
R	ALSO3A*	CITY2	HOWEVER2	CLOSE-BY1B*	OCEAN1A*
L
M	auch	stadt	doch	nah	meer
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	CITY2	$ALPHA1:L-U-X*	$INDEX1	CLOSE-BY1B*	BEHIND1*	PLANE3B^*	$INDEX1*
L
M	stadt	luxor
1248941-12070517-12233223 1248941-… | 18-30f    Classes should be close to home, of course.
R	CLOSE-BY1B*	APARTMENT5	TO-NEED1	CLOSE-BY1B*	TO-TEACH1
L
M	nah	wohnung	brauch	[MG]	unterricht
1180339-16161232-16363818 1180339-… | 31-45m    There is a lot of rural landscape near Bremen.
R	INTEREST1A	BREMEN1*	TO-OWN1	CLOSE-BY1B*	FARMER1*	COUNTRY3B*
L
M	[MG]	bremen	[MG]	nah	bauer	land
1429964 1429964 | 61+f    How far?
R	YOU1	HOW-MUCH3A*	TO2*	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B*
L
M	aber	wie viel		nah
1210825 1210825 | 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*	TO-SAY1^*
L
M		hören	muss		mu{nd} ablesen
1248090 1248090 | 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
M	mein	mutter		nah		spr{echen}
1430328 1430328 | 31-45f    I also live near Gelsenkirchen.
R	AND2A	BEFOREHAND4*	$NUM-ONE-TO-TEN1A:1d	CLOSE-BY1B*		ALSO3A	GELSENKIRCHEN1B
L					$INDEX1
M	und	vorher	ein	[MG]		auch	gelsenkirchen
1184756 1184756 | 31-45m    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
M	arbeit	arbeitskollege		[MG]		bring
1419607 1419607 | 61+m    The incident did not occur right there though, just in the area.
R	CLOSE-BY1B*	$INDEX1	AREA1A*	CLOSE-BY1B*
L
M	nahe
1246329 1246329 | 61+m    We lived near the station and caught the last car.
R	$GEST-OFF1^	I1	APARTMENT1B*	CLOSE-BY1B*	TRAIN-STATION-$CANDIDATE-FRA24^	I1
L							$INDEX1
M			wohn	[MG]	bahnhof
1180339-16161232-16363818 1180339-… | 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
M	bremerhaven		bremen	[MG]		vierzig	fünfzig
1180339-16161232-16363818 1180339-… | 31-45m    And you can even surf nearby.
R	PARTICULARLY1A	$INDEX1*	MORE1*	CLOSE-BY1B*	TO-SURF1	WHAT1B
L
M	[MG]		mehr	[MG]	surfen	was
1582399-11073030-11154047 1582399-… | 61+f    I did not think about it, because you are closer to me.
R	$GEST-TO-TAP-ONES-FOREHEAD1^	TO-TRUST1*	I1	CLOSE-BY1B*	TO-NEED2*	I2	$GEST-DECLINE1^
L
M			warum	[MG]
1584545 1584545 | 31-45f    Yes, just recently at the Nikolai church just around the corner.
R	$INDEX1	$ALPHA1:N	CHURCH2A	CLOSE-BY1B*	$INDEX1*
L
M		nikolaikirche		[MG]
1204877 1204877 | 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
M			[MG]	nähe	perlesreut	bayerischer
1183720-17021701-17054739 1183720-… | 61+m    Afterwards, we went to the mountains, because there was a river close to Italy. That was fun.
R	ATTENTION1A^*	WHY2A	MOST1A	CLOSE-BY1B*	ITALY1*	RIVER1*	TO-LOOK-AT3*
L	$NUM-ONE-TO-TEN1A:2d
M		warum	meist	nahe	italien	fluss	[MG]»
1290754 1290754 | 46-60m    The reason for that was just me living very close by, though.
R	APARTMENT1A*	TO-SIT1A	MÜNSTER1*	CLOSE-BY1B*	$GEST-OFF1^
L
M	wohnsitz		münster	[MG]
1290754 1290754 | 46-60m    I live quite close to Münster.
R	TO-SIT1A	MÜNSTER1*	I1	CLOSE-BY1B*	$INDEX1
L
M	wohnsitz	münster		[MG]
1419931 1419931 | 31-45f    Spandau? No, Spandau is close to Falkensee, way too close.
R	SPANDAU1*	TO2^*	LAZY1^	CLOSE-BY1B*
L
M	spandau			[MG]
1180254 1180254 | 31-45m    You were really lucky, that you used to live near a boarding school.
R	YOU1*	LUCK2	$INDEX1	CLOSE-BY1B*	YOU1*	TO-KNOW-STH2B^
L
M		glück		[MG]
1180339-16161232-16363818 1180339-… | 31-45m    Osnabrück is situated beautifully.
R	BEAUTIFUL1A	LANDSCAPE1*	RIGHT-OR-AGREED1A	CLOSE-BY1B*
L
M	schön	landschaft	stimm{t}	[MG]
1429964 1429964 | 61+f    How far?
R	TO2*	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B*
L
M	wie viel	nah
1431690 1431690 | 46-60m    Therefore, I can't imagine building a house that close to water.
R	HOUSE1B	IMAGINATION1A*	HOUSE1B	CLOSE-BY1B*	WATER1*
L						CAN1*	IMAGINATION1A*
M	haus	vorstell{en}	haus	[MG]	wasser		vorste{llen}
1210825 1210825 | 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
M	lehrer		du	nähe	hier
1181159 1181159 | 18-30m    Well, I commuted to school because we were living quite close to my school.
R	BECAUSE1	APARTMENT5*	I2	CLOSE-BY1B*
L
M	weil	wohnen
1180097 1180097 | 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
M		mein	wohn	nähe
1583964 1583964 | 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		I2	CAR-TO-STOP2		$INDEX1*	APARTMENT1A*	$INDEX1*
M	problem			nah		wohnung
1419931 1419931 | 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
M	anschluss		schule	warum [MG]			schule
1181027 1181027 | 18-30f    The event location was right in the middle of Frankfurt near a huge shopping mall.
R	MIDDLE2B^*	LOCATION1B	$INDEX1	CLOSE-BY1B*	UNTIL-OR-TO1*	TRADE-OR-NEGOTIATION1^	CENTRE1A
L
M				[MG]		einkaufszentrum»
1430396 1430396 | 46-60f    But I didn’t spend the night there. I lived nearby.
R	NO1A	I1	APARTMENT1B*	CLOSE-BY1B*	$GEST-OFF1^
L
M			wohn
1204877 1204877 | 46-60m    I did my apprenticeship close to Munich.
R	TO-LEARN2A^	TO-GO-THERE1	ALSO1A*	CLOSE-BY1B*	MUNICH1A*	I1*
L
M	ausbildung		auch		münchen
1204877 1204877 | 46-60m    A deaf couple from my area was also working there.
R	COUPLE3	TO-FIND1C*	$INDEX1	CLOSE-BY1B*	APARTMENT5	TO-WORK2
L
M	paar	gefunden			nah	arbeit
1250966 1250966 | 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
M	auto			nah	spandau	auto
1248400 1248400 | 46-60m    The nuclear power plant in Japan was too close to the ocean.
R	$INDEX1*	$GEST^*	OCEAN1A	CLOSE-BY1B*	$INDEX1*
L
M			meer	zu nah
1430328 1430328 | 31-45f    Concerning the food: There is a great pizza restaurant around the corner that is really great.
R	PARTICULARLY1A	GOOD1	I2	CLOSE-BY1B*	$INDEX1*	ROUND-THE-CORNER1^*	PIZZA1*
L
M	bes{onders}			[MG]			pizza
1292125 1292125 | 46-60m    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
M		spezial
1419607 1419607 | 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
M	hotel	atom		nah
1413925 1413925 | 46-60f    It was nearby the Heinrich-Heine-Straße [street name].
R	$CUED-SPEECH:H2	STREET1A	AREA1A^*	CLOSE-BY1B*	$INDEX1
L
M	heinrich-heine-straße			[MG]
1180254 1180254 | 31-45m    He has two children and lives in #Name1, near #Name2.
R	APARTMENT5*	$NAME	$NAME	CLOSE-BY1B*	$NAME	$INDEX1	CLOSE-BY1B*
L
M	wohnen	#name1		nähe	#name2		[MG]
1583964 1583964 | 31-45f    They work around Dessau.
R				CLOSE-BY1B		TO-WORK2
L					$ALPHA1:D-U		$INDEX1*
M				[MG]	dessau	arbeiten
1432043 1432043 | 46-60m    Something around there.
R				CLOSE-BY1B	$INDEX1*
L
M
1432043 1432043 | 46-60m    Close to Kiel.
R				CLOSE-BY1B	KIEL1	CLOSE-BY1B	KIEL1
L
M				nah	kiel	nähe	kiel»
1432043 1432043 | 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	MINUTE2B*
L
M					[MG]	fünf	minuten
1413703 1413703 | 46-60m    Close by the main station.
R				CLOSE-BY1B	TRAIN-STATION6*	CLOSE-BY1B*	HOTEL9*
L
M					bahnhof		hotel»
1583950 1583950 | 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
M				[MG]	kindergarten		hörend
1432043 1432043 | 46-60m    Northeast of Hamburg.
R				CLOSE-BY1B	$PROD	$PROD
L
M				bei		da
1432043 1432043 | 46-60m    Next to Bargteheide.
R				CLOSE-BY1B	TO-BATH1^*	AREA1A^	$INDEX1
L
M				nah	bargteheide
1179224 1179224 | 31-45f    It’s also close to the emergency hospital, which is also quite renowned.
R			AND5*	CLOSE-BY1B	ACCIDENT2A	HOSPITAL1A	$INDEX1
L
M			und	[MG]	unfallkrankenhaus
1427368 1427368 | 46-60m    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
M			woh{nung}	[MG]	zwei	drei	kilometer
1427368 1427368 | 46-60m    I’d rather have a doctor close by.
R			RATHER1	CLOSE-BY1B	I1	TO-GO-THERE1*	CLOSE-BY1B
L
M			lieber
1582205 1582205 | 18-30m    Near Chemnitz, right?
R			$GEST-TO-PONDER1^*	CLOSE-BY1B	CHEMNITZ3*	$ALPHA1:V-W
L
M				[MG]	chemnitz	v-w
1250721 1250721 | 61+m    We were living close to the store.
R			APARTMENT1B*	CLOSE-BY1B	AREA1A
L
M			wohn	nah	geschäft
1432043 1432043 | 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
M			aussteig	nah	zu fuß		[MG]
1211752 1211752 | 18-30f    And of course, it’s close by.
R			AND3*	CLOSE-BY1B	BACK-AND-FORTH1	$GEST-OFF1^
L
M			und	nah [MG]		[MG]
1182062 1182062 | 46-60f    Near the Hamburg harbor.
R			HAMBURG2*	CLOSE-BY1B	RIVER1^	CLOSE-BY1B
L
M			hamburg		hafen	hafen
1248400 1248400 | 46-60m    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
M	geb	muss	haben	nah	fluss	oder	meer
1248862 1248862 | 18-30f    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
M	[MG]		[MG]	nah	[MG]
1427368 1427368 | 46-60m    In the past I had a general practitioner near Kerpen.
R	$INDEX1	CLOSE-BY1B*	$INDEX1	CLOSE-BY1B	$INDEX1
L
M				bei kerpen
1429124-13403249-13545507 1429124-… | 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
M		[MG]	ausgerechnet	nah		bei	schiri»
1432043 1432043 | 46-60m    Close to Kiel.
R		CLOSE-BY1B	KIEL1	CLOSE-BY1B	KIEL1	$INDEX1
L
M		nah	kiel	nähe	kiel
1245595 1245595 | 18-30m    Everybody gets off the bus at the hotel.
R		THERE1*	HOTEL3	CLOSE-BY1B	TO-GET-OUT1A*
L
M			ho{tel}		ausstei{gen}
1246681 1246681 | 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
M		dann			heidelberg	nebenan	oben
1248699 1248699 | 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							TO-LET2A*
M		auch	land	nahe		[MG]	[MG]
1584198 1584198 | 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-OFF1^*	I1	CLOSE-BY1B	CZECH-REPUBLIC1	POLAND1B*	CRIME1
L
M		[MG]	ab{er}	[MG]	tschech{ien}	polen	verbrech
1211515 1211515 | 61+f    I’m protestant, and the church was just around the corner.
R		I2	LUTHERAN2*	CLOSE-BY1B	$INDEX1
L
M		ich	evangelisch	nah
1181159 1181159 | 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
M		frei	wohnen		zwanzig	minuten
1246772 1246772 | 31-45f    I prefer Heidelberg, that's closer.
R	RATHER1	HEIDELBERG1	MOUNTAIN1A	CLOSE-BY1B
L
M	lieber	heidelberg		[MG]
1177640 1177640 | 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
M	mann	[MG]		nah		korb
1179224 1179224 | 31-45f    It’s really fresh, because it comes right from the harbour.
R	$GEST^*	FRESH1	$ORAL^	CLOSE-BY1B	HARBOUR2	TO-DELIVER1A*
L
M	[MG]	frisch	warum		hafen
1427368 1427368 | 46-60m    But unfortunately it was very far away, near Overath.
R	UNFORTUNATELY1A*	$INDEX1	FAR1*	CLOSE-BY1B	$INDEX2	FAR1*	I1
L
M	aber leider		zu weit		overath	zu weit
1289910 1289910 | 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	PRICE1B	TO-PAY1
L
M		klar	wenn	[MG]	kann	[MG]	[MG]
1250279 1250279 | 46-60f    You’re lucky about the proximity.
R	YOU1*	ONCE-MORE1A^	GOOD1*	CLOSE-BY1B
L
M	du		gut	[MG]
1180339-16161232-16363818 1180339-… | 31-45m    The side dish varies, depending on the particular region.
R	MORE1	DIFFERENCE1B	CERTAIN1*	CLOSE-BY1B	PART1A	$INDEX1*	$ALPHA1:R
L
M				[MG]	teil		region»
1182062 1182062 | 46-60f    Near the Hamburg harbor.
R	HAMBURG2*	CLOSE-BY1B	RIVER1^	CLOSE-BY1B
L
M	hamburg		hafen	hafen
1427368 1427368 | 46-60m    I’d rather have a doctor close by.
R	CLOSE-BY1B	I1	TO-GO-THERE1*	CLOSE-BY1B	I1	$GEST-I-DONT-KNOW1^
L
M					[MG]
1582205 1582205 | 18-30m    Porsche is manufacturing in Leipzig, too.
R	$ALPHA1:D-O-SCH-E	ALSO1A	LONG-TEMPORAL1A^*	CLOSE-BY1B	ALSO1A*
L
M	porsche	auch	leipzig	[MG]	auch
1211515 1211515 | 61+m    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^*	MUCH1C*	MOVEMENT1A^*
L
M	waldshut	bin froh	warum	[MG]	stadt stadt stadt	viel	spazieren»
1177002 1177002 | 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
M	obwohl			[MG]	nah	wohn	ko{mmen}
1247835 1247835 | 46-60f    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	MINUTE2A*	TO1*
L
M	was	schön	fünf	[MG]	fünf	min{ute}	[MG]
1180339-16161232-16363818 1180339-… | 31-45m    I was born and raised in Georgsmarienhütte near Osnabrück.
R	BIRTH1A	REALLY2*	OSNABRÜCK1	CLOSE-BY1B	LOCATION3*	$NAME	BIRTH1A*
L
M	[MG]		osnabrück	[MG]	[MG]	georgsmarienhütte	aufgewachsen»
1210763 1210763 | 18-30f    Another one has a harbour theme, one hotel is really expensive and is located pretty close to Disneyland.
R	$NUM-ONE-TO-TEN1A:1d	EXPENSIVE2B	EXPENSIVE1*	CLOSE-BY1B	$INDEX1
L
M	ein		[MG]	nahe
1429709-16344227-16451821 1429709-… | 46-60f    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	TOILET2*	CLOSE-BY1B	TO-SPIN4^*
L	TO-SHOWER1
M	dusche	toilette		[MG]
1210208 1210208 | 46-60m    They went to Rome and saw the Pope walk by, but just from afar.
R	COINCIDENCE1*	TO-COME-PASS1*	BUT1*	CLOSE-BY1B	NO1A
L
M		papst	aber	nah	[MG]
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	BIG3B	CITY2	HERE1*	CLOSE-BY1B
L
M	großstadt		berlin	[MG]
1181027 1181027 | 18-30f    Subway and city train were just beneath it, pretty near that is.
R	SUBWAY2A*	COMMUTER-TRAIN2*	ABOVE1*	CLOSE-BY1B
L
M	u-bahn	s-bahn		nah
1180339-16161232-16363818 1180339-… | 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
M				[MG]	[MG]
1182062 1182062 | 46-60f    It's near Wiesloch, about five kilometers away.
R				CLOSE-BY1B		KILOMETRE1*	FROM-TO1
L					$NUM-ONE-TO-TEN1A:5
M				[MG]	fünf
1246681 1246681 | 46-60m    Another famous city close by is Worms.
R				CLOSE-BY1B	OUR1A*	TO-SIT1A^*	DISTANCE-OR-RANGE2*
L	AND5*	ALSO3A*	FAR1
M	und	auch	nicht so weit		von unser	ort
1433543 1433543 | 31-45m    It’s close to Munich and part of the Jewish history.
R				CLOSE-BY1B*	MUNICH1A*	THERE1*
L							$GEST-OFF1^*
M					mü{nchen}
2935384-11295937-11502021 2935384-… | 61+m    It’s near/
R				CLOSE-BY1B*
L
M
1249741 1249741 | 18-30f    The harbor with its ships is right next to it.
R				CLOSE-BY1B*		HARBOUR2	SHIP1
L					WITH1A
M				nah	mit	hafen	schiff
1249741 1249741 | 18-30f    They are quite close by, which is nice.
R				CLOSE-BY1B*	GOOD1*	$GEST-OFF1^	$GEST-TO-FOLD-ONES-HANDS1^
L
M				nahe	gut
1249741 1249741 | 18-30f    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
M				nähe	schlossparkzentrum
1182062 1182062 | 46-60f    You live near Wiesloch?
R			APARTMENT5	CLOSE-BY1B*	YOU1*
L
M			wohnen
1249741 1249741 | 18-30f    It was built because a school is very close by and the pupils can get there fast.
R	OR4B			CLOSE-BY1B*
L		TO-NEED1*	$INDEX1		FAST3A*	$INDEX1
M	oder			nähe	schnell
1209077 1209077 | 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^*			PRESENT-OR-HERE1	$GEST-OFF1^*
M	[MG]	damit	eltern	nähe	da		und
1249741 1249741 | 18-30f    It was built because a school is very close by and the pupils can get there fast.
R				CLOSE-BY1B*		DIFFERENT1
L		THERE1	WHY1		TEACHER1^*		$INDEX1
M			warum		schule	andere
1249741 1249741 | 18-30f    There are a lot of possibilities to go shopping very close by.
R			TO-SHOP1	CLOSE-BY1B*	$GEST-OFF1^
L	MUCH1B*	MORE1
M		mehr	einkaufen	nah
1249741 1249741 | 18-30f    There is a nice little path around the castle.
R			WAY2A	CLOSE-BY1B*	CASTLE3*	$GEST-OFF1^
L	$GEST-OFF1^*	BEAUTIFUL1A
M		schön	weg	nah	schloss
1249741 1249741 | 18-30f    The harbor with its ships is right next to it.
R		HARBOUR2	SHIP1	CLOSE-BY1B*			PRESENT-OR-HERE1*
L	WITH1A				WITH1A	ALSO1A
M	mit	hafen	schiff	nah	mit	auch	da
1420216 1420216 | 18-30f    I am from Tangerhütte which is also close by the river; really, it's nearby.
R	CLOSE-BY1A	TO2^*	AND2A*	CLOSE-BY1B*	BACK-AND-FORTH1*
L
M	nähe	nah	und	nähe
~ NEAR1C (20 tokens)
Mouth: bei
frontal 45° 90° from above
Translational equivalent: at; near
by transcript | by glosses | by right neighbours | by left neighbours
1211515 1211515 | 61+m    It’s near Waldshut, you know.
R				NEAR1C*	$GEST-ATTENTION1^	NEAR1C	UNTIL-OR-TO1^
L
M				bei		bei	waldshut
1246344 1246344 | 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	NEAR1C*	$INDEX1*	I1	OFTEN2B
L
M		wohnen		bei	wetzlar		öfter
1211515 1211515 | 61+f    I went to a school in Wilhelmsdorf, in Wilhelmsdorf. That’s near Ravensburg.
R	TO-WRITE2C^*	$INDEX1	$ORAL^	NEAR1C*	AREA1A^
L
M	wilhelmsdorf		wilhelmsdorf	bei	ravensburg
1182062 1182062 | 46-60f    Near Wiesloch.
R	$INDEX1	$ALPHA1:#		NEAR1C*	$ALPHA1:W
L			$ALPHA1:W
M	die{lheim}		wiesloch	bei	wiesloch
1205568 1205568 | 61+m    You know, close to Schrobenhausen.
R			TO-KNOW-STH2A*	NEAR1C	$ALPHA1:SCH*	$MORPH-HAUSEN1*	$INDEX1*
L
M					schrobenhausen
1211515 1211515 | 61+m    It’s near Waldshut, you know.
R		NEAR1C*	$GEST-ATTENTION1^	NEAR1C	UNTIL-OR-TO1^	$GEST-NM-NOD-HEAD1^
L
M		bei		bei	waldshut	bei waldshut
1414123 1414123 | 46-60m    In Neckargemünd close to Heidelberg.
R	NECKARGEMÜND1	$ALPHA1:G	$CUED-SPEECH^*	NEAR1C	HEIDELBERG1*	IN1*
L
M	neckargemünd			bei	heidelberg
1246329 1246329 | 61+m    So we moved to a place near Friedberg.
R	THEREFORE1*	I2	TO-MOVE2*	NEAR1C	$INDEX1*
L
M	deshalb		[MG]	bei	friedberg
1246681 1246681 | 61+m    I live in #Name1, close to Ludwigshafen.
R	APARTMENT5*	$NAME	I2	NEAR1C	LUDWIGSHAFEN1*
L
M	wohne	#name1		bei	ludwigshafen
1204191 1204191 | 61+m    I went to school in Neckargemünd near Heidelberg.
R	SCHOOL2B	HEIDELBERG2*	NECKARGEMÜND1	NEAR1C	HEIDELBERG2	$$EXTRA-LING-ACT^
L
M	schule	h{eidelberg}	neckargemünd	bei	heidelberg
1246329 1246329 | 61+m    We went to Buchenstadt near Posen.
R	TO-SAY1^	TO-OPEN-BOOK1^	CITY2	NEAR1C	$INDEX1*
L
M	heißt	buchenstadt		bei	posen
1210206-12000807-12040142 1210206-… | 61+f    That’s Benedict’s home area, and he was born there in Marktl close to Burghausen.
R	IN1*	$ARTICULATION-BASE-OF-MOUTH1^	$CUED-SPEECH:T2*	NEAR1C	TO-STEP-PEDAL3^*	$MORPH-HAUSEN1	$INDEX-TO-SCREEN1*
L
M	in	marktl		bei	burghausen
1289793 1289793 | 18-30f    The Otternbuschstraße [street name] is next to it.
R				NEAR1C			STREET1A
L					STREET1A*	$ALPHA1:O
M						otternbuschstraße
1289793 1289793 | 18-30f    Yes, that’s by the train station.
R				NEAR1C	TRAIN-STATION8*
L			$GEST-ATTENTION1^*			$INDEX1*
M					bahnhof
1289793 1289793 | 18-30f    Directly next to the ice rink.
R				NEAR1C		ICE-SKATES1A*	NEXT-TO1B
L			$INDEX1		$GEST-TO-PONDER1^*
M			da	[MG]		eislauf{bahn}
1289793 1289793 | 18-30f    There’s a Subway directly by the train station.
R			CENTRE1A*	NEAR1C*
L					$INDEX1*	$ORG-SUBWAY-STORE-$CANDIDATE-MST09^	LOCATION1A^
M			bei	[MG]		subway
1429910-16075041-16115817 1429910-… | 61+f    I wanted a window seat.
R				NEAR1C*	WINDOW6
L		MY1	TO-WISH1A
M		mein	wunsch	am	fenster
1246681 1246681 | 46-60m    The factory was built close to the town of Oppau. One day, there was a huge explosion.
R		TOGETHER6*	TO-BUILD1*	NEAR1C*
L	$INDEX1				$ALPHA1:O	LOCATION1A^	AREA1A^
M		zu nah	bauen	bei	oppau		ortsgemeinschaft
1289793 1289793 | 18-30f    Especially because it’s so close to the train station, that’s why it’s important.
R	PRIMARILY1	REASON4B	MIDDLE2A^*	NEAR1C*	PRIMARILY1
L
M	[MG]	grund	bei	wie	[MG]
1429910-16075041-16115817 1429910-… | 61+f    There was my seat, by the window.
R	TO-SIT1A	$INDEX2*	WINDOW6	NEAR1C*	WINDOW6*
L
M	sitznummer			am	fenster
~ NEIGHBOUR1 (30 tokens)
Mouth: nachbar
frontal 45° 90° from above
Translational equivalent: neighbour
by transcript | by glosses | by right neighbours | by left neighbours
1414503 1414503 | 61+f    My neighbor complained to the fire department. How can this be? Mrs. #Name4 has sent a fax twice.
R			$INDEX1*	NEIGHBOUR1*	TO-COMPLAIN2*	BOTH1^	CAN1
L
M				nachbar	beschweren	wie	kann
1414503 1414503 | 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
M				nachbar		selbst	übersetzen
1414503 1414503 | 61+f    My neighbor was the savior.
R		WAS1*	MY4	NEIGHBOUR1*	RESCUE1*	$INDEX1
L
M		war	mein	nachbar
1414503 1414503 | 61+f    My neighbor was so brave.
R			I1	NEIGHBOUR1*	COURAGE2^	TO-LET-KNOW1A*	COURAGE2
L
M			mei{ne}	nachb{ar}	schaff		mut»
2935384-11295937-11502021 2935384-… | 61+m    No matter if they were my oldest or youngest siblings, no one 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					$INDEX1
M	verwandte		von	nachbar		von
2935384-11295937-11502021 2935384-… | 61+m    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
M	drei gans		andere	nachbar	katze
1414503 1414503 | 61+f    I called my neighbor, my other neighbor.
R	I1	TO-RING-UP1*	MY1	NEIGHBOUR1*	$INDEX1*	OPPOSITE-OF1	BEFOREHAND3*
L
M		rufen	mein	nachbar		gegenüber	vorher
1248090 1248090 | 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
M		deutsch		nachbar
1187154 1187154 | 31-45f    She tells him, “Do you know our young neighbor?
R	YOU1*	$INDEX1	YOUNG2A*	NEIGHBOUR1*	$INDEX1
L
M	[MG]		jung	nachbar
1414503 1414503 | 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	YOUNG2A*	WOMAN4A*
L
M	sofort	gehen	mein	nachbar		jung	frau»
1247641 1247641 | 61+m    And I grew up above an inn. I lived in one of the upper floors and the inn was on the lower floor.
R	$INDEX1	INN1	I1	NEIGHBOUR1*	ABOVE1	DOWN1	INN1
L
M	im	wirtschaft	nachbar		oben	unten	wirtschaft
1419607 1419607 | 46-60f    That neighbor, well, the child’s grandmother, asked me what I thought of CIs.
R			$INDEX1	NEIGHBOUR1	$INDEX1	GRANDMA2*	$INDEX1
L
M			und	nachbar		oma
1584617 1584617 | 61+m    You could meet new women and girls at the neighbor’s house
R			ALSO3A	NEIGHBOUR1	HOUSE1A*	$INDEX1	WEIRD-STRANGE1
L
M			auch	nachbarhaus			[MG]
1414503 1414503 | 61+f    My neighbor was brave enough to just open the door.
R		$INDEX1*	MY1	NEIGHBOUR1	COURAGE2	OPEN-DOOR2
L
M			mein	nachbar	mut	tür auf
1414503 1414503 | 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
M			mein	nachbar	mut	[MG]
1419607 1419607 | 46-60f    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
M			interessant was	nachbar		nachbar
1413925 1413925 | 46-60f    I was very surprised then that the wall had fallen, as was my neighbour #Name4.
R		$GEST^	$NAME	NEIGHBOUR1	TO-LET-KNOW1A*	SURPRISE1B*	FALL-OF-THE-BERLIN-WALL2
L
M		[MG]	??	nachbar			mau{er}fall
1414503 1414503 | 61+f    That’s why my neighbor had called them for me.
R	$INDEX1*	THEREFORE1*	I2	NEIGHBOUR1	HE-SHE-IT1*	TO-HELP1*	$GEST^
L
M		darum		nachbar		geholfen
1414503 1414503 | 61+f    My neighbor helped me while my husband was at work.
R	I1	THROUGH2A*	MY1	NEIGHBOUR1	TO-HELP1*	MAN1*	STILL4B
L
M		durch	mein	nachbar	geholfen	mein mann	noch
1429964 1429964 | 61+f    In these times I often asked my neighbors, friends and my sister for help.
R	$INDEX1*	MOST1B*	I1	NEIGHBOUR1	WELL-KNOWN4	I1*	SISTER1A
L
M	[MG]	meist	ich	nachbar	bekannte		schwester
1176846 1176846 | 61+f    Then, two days later I met my neighbor.
R	$NUM-ONE-TO-TEN1A:2d	DAY1B	LATER10	NEIGHBOUR1	I2	PRESENT-OR-HERE1	$INDEX1
L
M	zwei	tag	später	nachbar		da
1180254 1180254 | 31-45m    There were no deaf people near where I used to live.
R	DEAF1A	AT-HOME2	$GEST-OFF1^*	NEIGHBOUR1	DEAF1A	$GEST-OFF1^
L
M		haus		nachbar
1204877 1204877 | 46-60m    Yes, there were some children from the neighborhood as well.
R	ALSO1A*	ALSO1A*	ALSO1A	NEIGHBOUR1	AREA1A	ALSO1A
L
M	auch	auch	auch	nachbarschaft		auch
1250270 1250270 | 46-60f    “Yes, the neighbor helped me with that. He did everything while you did nothing,” she says.
R	$GEST-NM-NOD-HEAD1^	MAN10*	NEIGHBOUR2A*	NEIGHBOUR1	TO-HELP1*	YES3A	EVERYTHING2*
L
M		mann		nachbar	helfen	ja	alles
1419607 1419607 | 46-60f    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
M	interessant was	nachbar		nachbar		sohn
2935384-11295937-11502021 2935384-… | 61+m    I went “baa,” and the neighbor heard it and wondered, “Why does #Name1 always go baa?”
R	I1	$GEST-NM^		NEIGHBOUR1			$NAME
L			THEN6*		$INDEX1	HEARING1A*
M		[LM:mäh]	[MG]	nachbar			#name1»
1250270 1250270 | 46-60f    She shrugs and says: “A neighbor helped me.
R	I2*	TO-ORDER1C^*	TO-HELP1*	NEIGHBOUR1	NEIGHBOUR2A
L
M	[MG]	mann	helfen	nachbar
1414503 1414503 | 61+f    My neighbor and I drove to the city hall Charlottenburg because I had received an important form.
R	IMPORTANT1*	FORM1A	WITH1A*	NEIGHBOUR1	WITH1A*	TO-GO1A	$INDEX1
L
M	wichtig	formular	mit	nachbar
2935384-11295937-11502021 2935384-… | 61+m    My hearing neighbors spoke badly about this in the end.
R	TO-SPEAK1A	FROM-OR-BY-OR-OF3*	HEARING1A	NEIGHBOUR1	ALL1A*
L
M	sprechen	vom	hörend	nachbarn
1429910-16075041-16115817 1429910-… | 61+f    I asked my neighbor to call a taxi for me.
R				NEIGHBOUR1			CAB1
L			I2		$INDEX1*	TO-RING-UP1
M			war	nachbar		anrufen	taxi
~ NEXT-TO2 (24 tokens)
Mouth: neben
frontal 45° 90° from above
Translational equivalent: beside; next to
by transcript | by glosses | by right neighbours | by left neighbours
1184145 1184145 | 61+m    It is next to the bridge.
R				NEXT-TO2*	BRIDGE7*
L
M				neben	brücke
1212218 1212218 | 46-60f    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
M		nepal	kambodscha	[MG]
1177702 1177702 | 46-60m    My utilities bill keeps growing annually.
R		SELF1A	ALSO1A	NEXT-TO2*	TO-COST1*	EVERYONE1A*	YEAR1B
L
M		selbst	auch	nebenkosten		jedes	jahr
1249376 1249376 | 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
M			[MG]			[MG]
1249376 1249376 | 46-60m    Back then we went from Sievershausen to Beverungen.
R	PAST-OR-BACK-THEN2	$INDEX1	WHISKERS1A^*	NEXT-TO2*	$INDEX1*	$ALPHA1:V
L							$INDEX1
M		[MG]	sievershausen			beverungen
1177860 1177860 | 61+m    Now he has a side job.
R	NOW1	$INDEX1	TO-WORK1	NEXT-TO2*	JOB1A*	$INDEX1
L
M	jetzt		arbeit	nebenjob
1182062 1182062 | 46-60f    In W/ There’s one in Rauenberg near the highway.
R				NEXT-TO2*	BORDER1A^*
L	$ALPHA1:W	$ALPHA1:R	$INDEX1
M		rauenberg		{ne}ben	autobahn
1249376 1249376 | 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
M	[MG]			[MG]
1249376 1249376 | 46-60m    Beverungen is located close to Höxter.
R	$ALPHA2:X	$ALPHA1:T-E-R	$INDEX1	NEXT-TO2*	$ALPHA1:H-O	TERRITORY1*	$INDEX1
L
M	höxter			nah	höxter
1177702 1177702 | 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
M	nicht	nur	auch	nebenkosten		[MG]
1177702 1177702 | 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
M	schulden		plus	nebenkosten	zusammen	wie sieht aus
1204891 1204891 | 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
M	schon		immer	nebenberuflich			gibt
1292768 1292768 | 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
M	kenn		wohnen
1179868 1179868 | 31-45f    You have to think about it. Imagine living right next to a river.
R	APARTMENT5	$GEST^	BRIDGE5A^	NEXT-TO2*	APARTMENT5*
L
M	wohnung		fluss	[MG]	wohnung
1179390-14072944-14151525 1179390-… | 18-30m    People are working in part time more and more, have small side jobs or one-euro jobs.
R	$GEST-OFF1^	OR1*	$GEST-OFF1^	NEXT-TO2*	JOB1A	$GEST-OFF1^	$INDEX1*
L
M		oder		nebenjob
1249376 1249376 | 46-60m    If it passed by the neighboring countries, it wouldn’t be that bad.
R			$PROD	NEXT-TO2	$PROD	BAD3A*
L
M			vor{bei}	neben	[MG]	schlimm
1249376 1249376 | 46-60m    People weren’t aware that the proximity of the radiation was dangerous?
R			$INDEX1	NEXT-TO2	$INDEX2*	RADIATION2*	DANGEROUS1A*
L
M				neben		strahlen	gefahr
1180339-16161232-16363818 1180339-… | 31-45m    The rocks the town hall is made of are from there, as well, because the mining area is nearby.
R	HENCE1	YELLOW5	TO-BUILD2A*	NEXT-TO2		$GEST-OFF1^
L					$INDEX1*
M	[MG]	gelb		[MG]
1246772 1246772 | 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
M	voll		nur	[MG]
1414123 1414123 | 46-60m    Back then I lived in the Karlsruhe area.
R	SILENCE1*	APARTMENT5	I2	NEXT-TO2	LOCATION3^
L
M	karlsruhe	wohnen		[MG]	nah
1177860 1177860 | 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
M				neben	arbeit	job
1178939 1178939 | 18-30f    It was close by.
R		$INDEX1	$GEST-TO-PONDER1^*	NEXT-TO2	$INDEX1
L
M				ne{ben}
1249376 1249376 | 46-60m    But in Japan, the power plant is also close to the water/
R	WATER1	$INDEX1	TO-TAKE1A*	NEXT-TO2	$INDEX1
L
M	wasser			neb{en}
1180339-16161232-16363818 1180339-… | 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
M	[MG]	toll		[MG]	[MG]	standesamt	heiraten
~ NEAR1A (24 tokens)
Translational equivalent: at; near
by transcript | by glosses | by right neighbours | by left neighbours
1414312 1414312 | 46-60m    The 4x400 meters relay race was held during the half time break at the final soccer match.
R				NEAR1A*	I1*	TIMES3*	$NUM-HUNDREDS1:4
L
M				bei		viermal	vierhundert
2025500 2025500 | 46-60m    I/
R			I1*	NEAR1A*
L
M
1583043 1583043 | 61+m    No, in Erfurt.
R			NO1A	NEAR1A*	IN1	ERFURT1
L
M			nein		in	erfurt
1291572 1291572 | 46-60f    Due to my believes, I seceded from the church.
R			I1*	NEAR1A*	I2*	SELF1A*	RELIGION1^*
L
M			und ich	bei mir	ich	selbst	ki{rche}
1247641 1247641 | 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*	NEAR1A*	CIGARETTE1*	$INDEX1	TO-GIVE-PRESENT1*
L
M		arbeit	firma	bei
1177860 1177860 | 61+m    It was in Haiti, which is close to the USA.
R		$CUED-SPEECH:H1*	$ALPHA-SK:T	NEAR1A*	USA2		EARTHQUAKE1
L						IN-ADDITION1^
M		haiti		bei	u-s-a		erdb{eben}
1420216 1420216 | 18-30f    I was very lucky that nothing happened to me. I was very relieved.
R		I1	LUCKY-YOU2	NEAR1A*	I1*	NOT3B	WELL1
L
M		bin	glück	bei	mir	nicht	wohl
1247849 1247849 | 61+f    I was at the birthday party of my/
R		I1*	BIRTHDAY9	NEAR1A*	MY1
L
M		auf	geburtstag	bei	meinen
1414123 1414123 | 46-60m    I also won the German Soccer Championship with the Comet club once.
R	AFTERWARDS1A^*	$NUM-ONE-TO-TEN1A:1d	FOOTBALL1A*	NEAR1A*	$ORG-COMET1	$NUM-ONE-TO-TEN1A:1d	GERMAN1
L
M	und	auch	fußball	bei	comet	einmal	deutsch meister»
1291636 1291636 | 61+m    Speaking of alarms, I remember our foster mother.
R	$INDEX1	ALERT1*	I1	NEAR1A*	MOTHER1*	CARE1*	I1
L
M		alarm	ich	bei	pflegemutter
1204694 1204694 | 61+f    Oh right, Schäftlarn, close to/
R	$CUED-SPEECH:R2*	$ALPHA1:#	$INDEX1	NEAR1A*	AREA1A^	AREA1A^*	ON1B^
L
M	schäftlarn			bei
1205568 1205568 | 61+m    I got work from the Caritas.
R	I1	WHAT1B*	IN1*	NEAR1A*	$ALPHA1:C
L						$INDEX1*
M	bekommen		i{m}	beim	caritas
1584198 1584198 | 31-45m    Well, she used to go to school in Güstrow, then she moved to the Frankfurt area, to the west.
R	$INDEX1			NEAR1A*	FRANKFURT1		WEST1B*
L		AFTERWARDS3	TO-MOVE1*			DIRECTION3*
M	güstrow		umzieh	bei	frankfurt		west
1414123 1414123 | 46-60m    By the way: I'm a loyal employee to the company I work at.
R	I1	FAITHFUL1*	TO-WORK2*	NEAR1A*
L
M	arbeiten	treu	arbeiten	bei
1246566 1246566 | 61+m    You and I, the two of us, we experience that a lot, when going to different events.
R	I1	BOTH2A*	TO-SEE1	NEAR1A*	EVENT1	THIS-AND-THAT1^	TO-VISIT-OR-TO-ATTEND1A*
L
M	ich		sehen	beim	veranstaltung	egal	besuch
1432043 1432043 | 46-60m    North of Hamburg lies the town of Ahrensburg.
R			$CUED-SPEECH:H2	NEAR1A	HAMBURG1	$INDEX1*	$PROD
L					LOCATION3*
M			ahrens{burg}	bei	hamburg		oben
1432043 1432043 | 46-60m    There’s a bridge in Wassersleben by Flensburg.
R	BRIDGE1B	WATER1	TO-LIVE1A	NEAR1A	FLENSBURG2	$INDEX1
L
M	brücke	wasser{s}leben		bei	flensburg
1177918 1177918 | 61+m    And there has been a similar earthquake just off the coast of Haiti recently, near the US.
R	LIKE3A*	EGG6A	LAKE1B*	NEAR1A	USA2*	LIKE3A*
L
M	wie	haiti		bei	usa
1178133 1178133 | 46-60f    I saw it, I went there, to Ratzeburg close to Lübeck.
R	I1	TO-DRIVE3*	TO-RAKE1A^*	NEAR1A	LÜBECK1A
L
M	gewesen		ratzeburg	bei	lübeck
1246681 1246681 | 61+m    I live in #Name1, close to Ludwigshafen.
R	AND2A	I1	$INDEX1*	NEAR1A*	APARTMENT5*	$NAME	I2
L		$NUM-ONE-TO-TEN1A:2d
M	und dann	ich	da	bei mir	wohne	#name1
1204694 1204694 | 61+f    Close to Bad Tölz on the Isar river.
R						CLOSE-BY1^*	WAY-COURSE2^*
L				NEAR1A	OFF-OR-AWAY1*
M				bei	bad tölz	[MG]	isar
1205821 1205821 | 31-45f    He insisted he wanted to go to his wife.
R							THATS-ALL1A
L	TO-LET-KNOW1A	I1	TO-WANT8	NEAR1A*	WOMAN2C*	$INDEX1*
M			will		frau
1245356 1245356 | 61+m    I am the only deaf person in my family.
R				NEAR1A*		FAMILY4*
L		AND5	I1*		MY1		I1
M		und		bei	mein	familie»
1179212 1179212 | 46-60f    We had expected that we would probably soon be invited to Gunter's funeral.
R	$NAME-GUNTER-PUTTRICH1*			NEAR1A*	FUNERAL1	TO-SEND-OR-TO-DISPATCH4A*
L		TO-SEND-OR-TO-DISPATCH4A^*	$NAME-GUNTER-PUTTRICH1
M	gunter puttrich			bei	beerdigung
~ NEAR1B (1 token)
Translational equivalent: at; near
by transcript | by glosses | by right neighbours | by left neighbours
1289793 1289793 | 18-30f    It’s by the train station.
R				NEAR1B	TRAIN-STATION8	$INDEX1*
L
M				beim	bahnhof

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Types ID	Gloss	HamNoSys	Mouth	iLex	ELAN	SRT	Video frontal	Video 45°	Video 90°	Video from above	Pose
15929	CLOSE-BY1^		∅
102089	SHORT-TERM1B		∅
9366	CLOSE-BY1A		nah
10207	SHORT-TERM1A		∅
31624	CLOSE-BY1B		nah
12598	NEAR1C		bei
31315	NEIGHBOUR1		nachbar
7749	NEXT-TO2		neben