THIS-AND-THAT3^

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L		$PROD	TO-MISS1	THIS-AND-THAT3^*
≙ THIS-AND-THAT3^ (11 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1181455 1181455 \| 61+f In Essen/
R				THIS-AND-THAT3^*
L			ESSEN-CITY1	THIS-AND-THAT3^*
M			essen
1428905 1428905 \| 18-30f They have boards about the missing people, as well.
R		$PROD	TO-MISS1	THIS-AND-THAT3^*
M			vermissen	[MG]
1291892 1291892 \| 31-45m But the rest is still alive.
R	REMAINS2*	TO-LIVE1C*	STILL4A*	THIS-AND-THAT3^*
L	REMAINS2*	TO-LIVE1C*	STILL4A*	THIS-AND-THAT3^*
M	rest	lebt	noch
1248400 1248400 \| 46-60m The social party — SPD [Social Democratic Party], the CDU [Christian Democratic Union of Germany], The Greens; there are so many different parties.
R	$ALPHA1:C	$CUED-SPEECH^*	$ORG-GREEN-PARTY2	THIS-AND-THAT3^*	$GEST-OFF1^
L				THIS-AND-THAT3^*	$GEST-OFF1^
M	c-d-u	die grünen		[MG]
1289910 1289910 \| 18-30f There’s lots of different things, for example the rain forest/
R	THIS-AND-THAT3*	$PROD	AREA1A^*	THIS-AND-THAT3^*
L				THIS-AND-THAT3^*
M	verschiedenes	urwald
1427114-10034345-10053342 1427114-… \| 18-30m Another time we were putting our feet up on the table. Nobody cared because there were no teachers.
R	I2	$PROD	LOOSE1*	THIS-AND-THAT3^*	TEACHER2*	EMPTY1*	$GEST-OFF1^*
L			LOOSE1*	THIS-AND-THAT3^*	TEACHER2*	EMPTY1*
M		[MG]	locker		lehrer	[MG]
1210763 1210763 \| 18-30f I feel like a real girl there because everything is just so gorgeous there.
R	GIRL2A	TO-GET-IN1*	$INDEX1	THIS-AND-THAT3^*	BEAUTIFUL1B	EVERYWHERE1*	$GEST-OFF1^*
L		TO-GET-IN1*		THIS-AND-THAT3^*
M	mädel				schön
1220196-12291229-12432115 1220196-… \| 46-60m They organize beer and start the grill. Those are their tasks.
R	BEER4*	TO-BARBECUE1A*	INNKEEPER1*	THIS-AND-THAT3^	TO-WORK2*	OFF-OR-TO-REMOVE-STH1B
L	BEER4*	TO-BARBECUE1A*	INNKEEPER1*	THIS-AND-THAT3^	TO-WORK2*
M	bier	grill	[MG]		arbeit
1431222 1431222 \| 31-45f Their program was so diverse, just take the artist department for example.
R	OFFER1B*	DIFFERENCE1B	ART4A	THIS-AND-THAT3^
L	OFFER1B*	DIFFERENCE1B		THIS-AND-THAT3^
M	angebot	[MG]	kunst	[MG]
1176624 1176624 \| 61+m I also got help with cutting up all the baloney and gherkins.
R	TO-HELP1*	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2
L	TO-HELP1*	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2
M	helfen	gurke		[MG]	fleischwurst	[MG]
1176624 1176624 \| 61+m I also got help with cutting up all the baloney and gherkins.
R	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2	THIS-AND-THAT3^
L	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2	THIS-AND-THAT3^
M	fleischwurst	[MG]		[MG]
= THIS-AND-THAT3 (3 tokens)
Translational equivalent: this and that
by transcript \| by glosses \| by right neighbours \| by left neighbours
1289910 1289910 \| 18-30f There’s lots of different things, for example the rain forest/
R		MUCH1C*	DISTINCT1	THIS-AND-THAT3*	$PROD	AREA1A^*	THIS-AND-THAT3^*
L			DISTINCT1				THIS-AND-THAT3^*
M		viel	verschiedenes		urwald
1220196-12291229-12432115 1220196-… \| 61+f Ah, okay, they assist with different tasks.
R		TO-HELP1*	TO-WORK2	THIS-AND-THAT3	AND-SO-ON5
L		TO-HELP1*	TO-WORK2	THIS-AND-THAT3	AND-SO-ON5
M		helfen	arbeit
1210825 1210825 \| 46-60m There was still so much I had to learn, and most of it was really complicated.
R	COMMA1^*	I1	TO-LEARN1*	THIS-AND-THAT3	$GEST-DECLINE1^	COMPLICATED1B*	DONE1B
L				THIS-AND-THAT3	$GEST-DECLINE1^	COMPLICATED1B*	DONE1B
M		muss

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