CLOTHES3^



L			BODY1^	CLOTHES3^*	GOOD1^*
≙ CLOTHES3^ (15 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1211752 1211752 \| 18-30f Then, I feel better and strengthened.
R			BODY1^	CLOTHES3^*	GOOD1^*
M			warm
1180339-16161232-16363818 1180339-… \| 31-45m How people used to dress here and all sorts of things.
R		HOW-QUESTION3	BREMEN1	CLOTHES3^*	$GEST^
L		HOW-QUESTION3		CLOTHES3^*	$GEST^
M		wie	bremer	klamotte
1179212 1179212 \| 46-60f Everyone had dressed up elegantly.
R		ALL1A*	FINE1	CLOTHES3^*
L		ALL1A*	FINE1	CLOTHES3^*
M		alle	fein
1292458 1292458 \| 18-30m Berlin is so diverse, tolerant, fancy.
R	BERLIN1A	DIVERSITY1	TOLERANT1*	CLOTHES3^*
L		DIVERSITY1	TOLERANT1*	CLOTHES3^*
M	berlin	[MG]
1249542 1249542 \| 46-60m And the people were also dressed like we would during carnival.
R	ALSO1A*	LIKE3A*	FASCHING1A*	CLOTHES3^*	LIKE1A*
L		LIKE3A*		CLOTHES3^*	LIKE1A*
M	auch	wie	fasching		wie
1292458 1292458 \| 18-30m In Bavaria, traditional clothing is typical.
R	BAVARIA1*	TYPICAL1	TRADITION2B	CLOTHES3^*	$GEST^
L		TYPICAL1	TRADITION2B	CLOTHES3^*	$GEST^
M	bayern	typisch	tradition	[MG]
1248862 1248862 \| 18-30f The interpreter came and asked me to dress casually, like casual sportswear.
R	LOVELY1A	LIKE-THIS3	LOOSE1	CLOTHES3^*	EXAMPLE1*	SPORTS1A*	CLOTHES5A
L		LIKE-THIS3	LOOSE1	CLOTHES3^*	EXAMPLE1*	SPORTS1A*	CLOTHES5A
M	[MG]	wie	locker	[MG]	wie	sport
1250646 1250646 \| 61+m My colleague, #Name1, had an armband that said ‘combat group commander’.
R	TO-WORK1	COLLEAGUE2	SELF1A*	CLOTHES3^*	FIGHT1A*	EPAULETTE1^*	ARMBAND1^
L	TO-WORK1			CLOTHES3^*	FIGHT1A*
M	arbeitskollege		selbst		kampfgruppenkommando
1249741 1249741 \| 18-30m You only need to pay one price and then you get everything, including the weapons and the protective gear.
R	WEAPON1*	WEAPON1	TO-OBTAIN1*	CLOTHES3^*	PROTECTION1A	TO-OBTAIN1*
L	WEAPON1*	WEAPON1	TO-OBTAIN1*	CLOTHES3^*	PROTECTION1A	TO-OBTAIN1*
M		waffe	bekomm	schutz		bekomm bekomm
1251334 1251334 \| 46-60m One was dressed properly, with a neckerchief.
R				CLOTHES3^	KNOT1*
L				CLOTHES3^	KNOT1*
M				ordentlich
1251334 1251334 \| 46-60m Adults wore a blue shirt and the Free German Youth patch on the sleeve.
R	AND6	ADULTS1B*	BLUE18B	CLOTHES3^	$PROD
L				CLOTHES3^
M	und	erwachsene	blau		f-d-j
1184756 1184756 \| 18-30f I’m a big fan of it: it has ears, even paws.
R	FAN2*	$PROD	WITH1A*	CLOTHES3^	IN-ADDITION1	$PROD	$PROD
L			WITH1A*	CLOTHES3^			$PROD
M	fan		mit		dazu
1210825 1210825 \| 46-60m My build sometimes makes people afraid that I might hurt them.
R	FACE1	$PROD	AND2B*	CLOTHES3^	TO-LOOK-AT2	TALL5A	$PROD
L		$PROD	AND2B*	CLOTHES3^			$PROD
M			und	weiß		groß
1291164 1291164 \| 61+f I couldn’t rent a costume.
R	I1*	MUST1	TO-BORROW1	CLOTHES3^
L			TO-BORROW1	CLOTHES3^
M	ich	muss	leihen	anziehen
1433655 1433655 \| 46-60m One time I had communication problems with a salesman for clothes.
R	$GEST^	EXAMPLE1*	FABRIC1A^*	CLOTHES3^	COMMUNICATION1A*	$GEST^
L	$GEST^	EXAMPLE1*	FABRIC1A^*	CLOTHES3^	COMMUNICATION1A*	$GEST^
M	[MG]	beispiel	klamotten		[MG]
= SUIT3 (3 tokens)
Translational equivalent: suit
by transcript \| by glosses \| by right neighbours \| by left neighbours
1212416 1212416 \| 31-45f And he wore great outfits.
R			SUPER1	SUIT3*
L				SUIT3*
M			super	[MG]
1212416 1212416 \| 31-45f Sometimes he dressed up as a man, sometimes as a woman.
R		BUT1*	LIKE-THIS1A*	SUIT3*	WOMAN1A*	$GEST^
L			LIKE-THIS1A*	SUIT3*		$GEST^
M		ab{er}	mal so	[MG]	frau
1245356 1245356 \| 61+m During my apprenticeship I walked around in suit and tie.
R	I1*	EDUCATION1*	TIE-OR-CRAVAT1A*	SUIT3	I1
L	I1*	EDUCATION1*		SUIT3
M		ausbildung	schlips	anzug
= CLOTHES3 (16 tokens)
Translational equivalents: clothing; clothes; apparel
by transcript \| by glosses \| by right neighbours \| by left neighbours
1427725 1427725 \| 18-30f The vibes you are giving off are influenced by your choice in clothing.
R			ALSO1A	CLOTHES3*	TO-MAKE2	EYELASHES1B^*	FEELING3*
L					TO-MAKE2		FEELING3*
M			auch		ma{cht}	ausstrahlung
1251334 1251334 \| 46-60m Right, it was normal, one just put it on, it was how it was.
R		MUST1*	HOWEVER1B	CLOTHES3*	TO-ACCEPT-STH3A*	$GEST-OFF1^	TO-CARRY1^*
L						$GEST-OFF1^	TO-CARRY1^*
M		doch muss			[MG]
1431224 1431224 \| 31-45m We wore the same national clothing, same pants and shoes.
R			NATIONAL2*	CLOTHES3*	EQUAL8*	SHOE2	TROUSERS1B
L				CLOTHES3*			TROUSERS1B
M			nationalkleidung		[MG]	schuh	hose
1250270 1250270 \| 46-60f She looks good. Hair, cleavage, her outfit looks good.
R		GOOD1	TO-SEE1	CLOTHES3*	CLEAVAGE1*	CLOTHES3	GOOD1*
L				CLOTHES3*	CLEAVAGE1*	CLOTHES3
M		gut	aus{sehen}		[MG]		gut
1211752 1211752 \| 18-30f But whenever we wear similar clothes, your hands are cold and you’re freezing.
R	YOU1	$GEST^	TOGETHER3A*	CLOTHES3*	NEVERTHELESS2B	YOU1	HAND1B
L		$GEST^	TOGETHER3A*	CLOTHES3*			HAND1B
M	du			[MG]	trotzdem	du
1212416 1212416 \| 31-45f One man was dressed up like a woman.
R	PERSON1	MAN6A	PERSON1	CLOTHES3*	WOMAN4B*	TRANSVESTITE1*
L				CLOTHES3*	WOMAN4B*	TRANSVESTITE1*
M		mann		verkleiden	frau	[MG]
1249542 1249542 \| 46-60m They sold different things, coffee mugs or clothes for example.
R	WHATEVER3*	CUP1	$LIST1:2of2d*	CLOTHES3*	WHATEVER3*	DISTINCT1	$GEST-OFF1^
L	WHATEVER3*		$LIST1:2of2d*	CLOTHES3*	WHATEVER3*	DISTINCT1	$GEST-OFF1^
M	egal	tasse			egal
1292458 1292458 \| 18-30m It’s typically traditional, they have traditional costumes and everything.
R	TYPICAL1*	TRADITION2B	TO-BELONG1	CLOTHES3*	PRESENT-OR-HERE1*	EVERYTHING1C
L	TYPICAL1*	TRADITION2B		CLOTHES3*	PRESENT-OR-HERE1*	EVERYTHING1C
M	typisch	tradition		[MG]	da da	alles
1292458 1292458 \| 18-30m In North Rhine-Westphalia, in the Ruhr area, fashion doesn’t matter.
R	$INDEX1	MOST1B*	NOT-METICULOUS1*	CLOTHES3*	NOT-METICULOUS1*
L			NOT-METICULOUS1*	CLOTHES3*	NOT-METICULOUS1*
M		[MG]			[MG]
1427725 1427725 \| 18-30f That just wouldn't happen with regular clothes.
R			USUAL1	CLOTHES3	TO-LOOK1*	HAVING-NOTHING-TO-DO-WITH1^*
L			USUAL1	CLOTHES3		HAVING-NOTHING-TO-DO-WITH1^*
M			normal
1419126 1419126 \| 18-30f Now we see the cat dressed as a bellboy.
R				CLOTHES3	TYPICAL1*	SUITCASE1*	$PROD
L		THEN1A	$INDEX1	CLOTHES3	TYPICAL1*
M					typisch	koffer
1250059 1250059 \| 18-30f They thought so because of the bananas and the clothes.
R	WHY1	$INDEX1	LUXURY1A*	CLOTHES3	WHY1	TO-DELIVER1B*	BANANA1B
L				CLOTHES3		TO-DELIVER1B*	BANANA1B
M	warum		[MG]		warum		banane
1250059 1250059 \| 18-30f I asked them why I was able to get such nice clothes as well as bananas, and why we had received the car so quickly.
R	WHY1	I1	MODERN1A	CLOTHES3	TO-OBTAIN3*	$LIST1:2of2d*	BANANA1B*
L				CLOTHES3	$LIST1:1of1d*	$LIST1:2of2d*	BANANA1B*
M	warum		[MG]	kleid			banane»
1250270 1250270 \| 46-60f She looks good. Hair, cleavage, her outfit looks good.
R	TO-SEE1	CLOTHES3*	CLEAVAGE1*	CLOTHES3	GOOD1*	TO-SEE1	CLOTHES1A*
L		CLOTHES3*	CLEAVAGE1*	CLOTHES3			CLOTHES1A*
M	aus{sehen}		[MG]		gut	aus{sehen}
1251334 1251334 \| 46-60m Like for the taping today, we also had to put on sweaters like this, for the video.
R	$INDEX1	MUST1*	$INDEX1*	CLOTHES3	TO-BUY1A*	SWEATER1	I1*
L		MUST1*	$INDEX1*	CLOTHES3		SWEATER1	I1*
M		muss				pullover
1250059 1250059 \| 18-30f They thought members of the Stasi were receiving gifts like nice clothes and bananas.
R	BANANA1B	OR4B*	MODERN1D*	CLOTHES3	PRETTY1A	$$EXTRA-LING-ACT^
L	BANANA1B	OR4B*	MODERN1D*	CLOTHES3		$$EXTRA-LING-ACT^
M	banane	oder	[MG]		hübsch
= UNIFORM1 (3 tokens)
Translational equivalent: uniform
by transcript \| by glosses \| by right neighbours \| by left neighbours
1250646 1250646 \| 61+m No, I threw all the pioneer stuff away.
R	I2	$GEST^	OFF-OR-TO-REMOVE-STH1C	UNIFORM1*	LIKE-THIS-TO-PRESENT1^*	OFF-OR-TO-REMOVE-STH2*
L		$GEST^		UNIFORM1*	LIKE-THIS-TO-PRESENT1^*	OFF-OR-TO-REMOVE-STH2*
M		[MG]	weg	pioniere	alles	weg weg
1582205 1582205 \| 18-30m Didn't you have a pioneer's outfit in school?
R	NONE7B	YOU1*	PRIEST1A^	UNIFORM1*	NONE7B	YOU1*	SUDDENLY4*
L			PRIEST1A^	UNIFORM1*
M	[MG]				[MG]		[MG]
1413236 1413236 \| 46-60m It looks like a bellboy in uniform, really inconspicuous.
R	HOTEL5D*	TO-STAND1A^*	LIKE3B	UNIFORM1*	BODY1^	DISSOLUTION1A^	GOOD5B^*
L		TO-STAND1A^*	LIKE3B	UNIFORM1*	BODY1^	DISSOLUTION1A^
M	hotel	aufstehen	wie	uniform		[MG]	[MG]

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