BIG7^

	

frontal

45°

90°

from above

≙ BIG7^
Leipzig \| dgskorpus_lei_13 \| 46-60m The border installations, the Wall itself and the customs control were quite massive.
r	I2	CAR-DRIVING2*	VERY7*	BIG7^	CUSTOMS3*	I2	TO-SEE1*
l		CAR-DRIVING2*		BIG7^	CUSTOMS3*
m			[MG]		zoll
München (Munich) \| dgskorpus_mue_06 \| 18-30f I think that your vocabulary gets extended so you know more words.
r	TOGETHER2B^	WORD1	$INDEX1	BIG7^	YES1A	TO-INCLUDE-OR-TO-ADMIT1*
l	TOGETHER2B^			BIG7^		TO-INCLUDE-OR-TO-ADMIT1*
m	…			[MG]	ja	[MG]
Nürnberg (Nuremberg) \| dgskorpus_nue_03 \| 31-45m The idea of German as the standard language in the U.S. is crazy.
r	IF-OR-WHEN1A	REALLY2*	IF-OR-WHEN1A	BIG7^	GERMAN1	AMERICA1*	BIG7^
l				BIG7^		AMERICA1*	BIG7^
m	wenn				deutsch	amerika
Nürnberg (Nuremberg) \| dgskorpus_nue_03 \| 31-45m The idea of German as the standard language in the U.S. is crazy.
r	BIG7^	GERMAN1	AMERICA1*	BIG7^	GERMAN1	TO-SIGN1A*	VERY6*
l	BIG7^		AMERICA1*	BIG7^		TO-SIGN1A*
m		deutsch	amerika		deutsch		[MG]
Frankfurt \| dgskorpus_fra_11 \| 18-30m It’s a huge country.
r			MEANING1*	BIG7^*	$GEST^
l				BIG7^*	$GEST^
m			bedeutet	[MG]
Leipzig \| dgskorpus_lei_09 \| 31-45f It's not a big restaurant.
r	RESTAURANT1			BIG7^*	AREA1D^*	I1*
l	RESTAURANT1	$INDEX1*	LOCATION1A^*	BIG7^*	AREA1D^*
m	restaurant			[MG]
Münster \| dgskorpus_mst_01 \| 46-60m Everyone did it that way.
r				BIG7^*
l				BIG7^*	$INDEX1	$INDEX1	$INDEX1
m					auch	auch	auch
Münster \| dgskorpus_mst_02 \| 18-30f Opposite there is a huge park.
r	$INDEX1*	OPPOSITE-OF1*	LOCATION1A*	BIG7^*	AREA1A^*	$ALPHA1:P-A-R-K	PARK1A
l	LOCATION1A			BIG7^*
m	da			park	typisch	park	park
München (Munich) \| dgskorpus_mue_07 \| 18-30m It’s huge.
r				BIG7^*
l				BIG7^*
m				[MG]
München (Munich) \| dgskorpus_mue_07 \| 18-30m There are a lot more lakes in the south than in the north.
r	LITTLE-BIT6	LAKE5*		BIG7^*	MUCH-OR-MANY1A*	LOCATION1A*	AREA1D^*
l		LAKE5*	SOUTH1B	BIG7^*		LOCATION1A*	AREA1D^*
m	wenig	see	süd	see see see	viel
Nürnberg (Nuremberg) \| dgskorpus_nue_03 \| 31-45m English was in the lead, and as a result became the standard language of the whole country.
r	BARELY1	ENGLAND2*	DONE2*	BIG7^*	$GEST^
l	BARELY1		DONE2*	BIG7^*	$GEST^
m	knapp	englisch
Stuttgart \| dgskorpus_stu_09 \| 18-30m There are more smaller groups that keep to themselves now. Back in the days, we all got together, even the hard of hearing that enjoyed sign language were part of a larger group. That was awesome.
r				BIG7^*	ALSO1A	GROUP1C^*	PAST-OR-BACK-THEN1*
l				BIG7^*		GROUP1C^*
m					auch	gesellschaft gesellschaft	früher
= BIG7
Göttingen \| dgskorpus_goe_10 \| 46-60m How does, for example, a big company, a big/
r	EXAMPLE2	BIG7*	COMPANY1B	BIG7	$GEST-OFF^
l	EXAMPLE2	BIG7*	COMPANY1B	BIG7	$GEST-OFF^
m	beispiel	groß	firma	[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m The big companies would have a problem, because they need more electricity.
r	$GEST-OFF^*	PROBLEM1	COMPANY1B	BIG7	$GEST-OFF^*	WHAT-DOES-IT-LOOK-LIKE1	$GEST-OFF^*
l	$GEST-OFF^*		COMPANY1B	BIG7	$GEST-OFF^*		$GEST-OFF^*
m		problem	firma	groß	[MG]	wie
Leipzig \| dgskorpus_lei_10 \| 31-45m Well, Lufthansa is quite a big company, though.
r		AIR1*	AIRPLANE1^	BIG7	COMPANY1A	$INDEX2	I1*
l		AIR1*	AIRPLANE1^	BIG7	$INDEX1
m		lufthansa		groß	firma
Leipzig \| dgskorpus_lei_15 \| 18-30f Some are small, some are big.
r	SOMETIMES1	SQUARE10^*	SOMETIMES1	BIG7	$GEST-OFF^
l		SQUARE10^*		BIG7	$GEST-OFF^
m	manchmal	klein		groß
Münster \| dgskorpus_mst_14 \| 18-30m Especially when you compare it to France, we have a lot of big cities here.
r			SPECIAL-OR-PARTICULARLY1B	BIG7	CITY2*	MUCH-OR-MANY1A	PRESENT-OR-HERE1*
l				BIG7	CITY2*		PRESENT-OR-HERE1*
m			besonders	großstadt		viel	da
Münster \| dgskorpus_mst_14 \| 18-30m They have many different cities with different sizes and numbers of inhabitants.
r	WITH1A	$GEST-TO-PONDER1^*	DISTINCT1*	BIG7	SMALL6*
l		$GEST-TO-PONDER1^*	DISTINCT1*	BIG7	SMALL6*
m	mit		verschieden	[MG]
Münster \| dgskorpus_mst_14 \| 18-30m It’s huge.
r				BIG7	A-WHOLE-LOT2*
l				BIG7
m				[MG]	groß
München (Munich) \| dgskorpus_mue_02 \| 31-45m It was a really big room and there were a lot of international guests there.
r				BIG7	$INDEX1	INTERNATIONAL1	MASS-OF-PEOPLE-ACTIVE1
l				BIG7		INTERNATIONAL1	MASS-OF-PEOPLE-ACTIVE1
m				[MG]		international	[MG]
München (Munich) \| dgskorpus_mue_07 \| 18-30m It has an area of 17,000 square meters. That’s enormous.
r	SQUARE1^*	$NUM-TEEN2A:7d	$NUM-THOUSANDS1:1*	BIG7	ROUND12^
l	SQUARE1^*	$NUM-TEEN2A:7d		BIG7	ROUND12^
m	quadratmeter	siebzehntausend		[MG]	[MG]
Rostock \| dgskorpus_mvp_01 \| 18-30m For example there is a quite big, old castle.
r	GOOD1^	FORTRESS2^	$GEST-OFF^	BIG7
l		FORTRESS2^	$GEST-OFF^	BIG7
m		schloss
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f Well, I walked around and there was a shopping mall somewhere which was really huge.
r	LIKE3A*	TO-SHOP1*	CENTRE1A*	BIG7	LIKE4A*
l	LIKE3A*	TO-SHOP1*	CENTRE1A*	BIG7
m	wie	einkaufszentrum		[MG]	wie
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m When I think of your company’s premises, I think it would be a good idea to install a flea market once they are all empty.
r		YOUR1	COMPANY1A*	BIG7	HERE1	I1	TO-SEE1*
l				BIG7
m		dein	firma		[MG]	[MG]
Stuttgart \| dgskorpus_stu_09 \| 18-30m When I was there, there were plenty of nuns around.
r	I2	NURSE1*	I2*	BIG7
l		NURSE1*		BIG7
m	…	schwester		[MG]
Göttingen \| dgskorpus_goe_05 \| 31-45m It's not feasible in Germany because it's so big.
r	CAN1*	GERMAN1*	WHAT1A	BIG7*	$GEST-OFF^
l			WHAT1A	BIG7*	$GEST-OFF^
m		deutsch	was	zu groß
Göttingen \| dgskorpus_goe_05 \| 31-45m If you compare Switzerland and Germany in size, Switzerland is small.
r		$INDEX1*	GERMAN1	BIG7*	$INDEX1*	ROUND12^*	$GEST-OFF^
l	LOCATION3^			BIG7*	$INDEX1*	ROUND12^*	$GEST-OFF^
m	[MG]	[MG]	deutsch	groß		klein
Göttingen \| dgskorpus_goe_10 \| 46-60m How does, for example, a big company, a big/
r		PROCEEDING1A	EXAMPLE2	BIG7*	COMPANY1B	BIG7	$GEST-OFF^
l		PROCEEDING1A	EXAMPLE2	BIG7*	COMPANY1B	BIG7	$GEST-OFF^
m		ablauf	beispiel	groß	firma	[MG]
Göttingen \| dgskorpus_goe_10 \| 46-60m That’s a very big company.
r			COMPANY1A	BIG7*	$GEST-OFF^*
l				BIG7*	$GEST-OFF^*
m			firma	[MG]
Hamburg \| dgskorpus_hh_02 \| 31-45f It is just a sign. The sign can’t be as big just because the canal is broad.
r	FOR1*	CLEAR1A^	SIGN3A*	BIG7*	WEIRD2*	ROUND12^*
l		CLEAR1A^		BIG7*		ROUND12^*
m	für	mich	schild	[MG]	[MG]	[MG]
Leipzig \| dgskorpus_lei_01 \| 18-30m There are way to many stores in Dresden, but few people living there. That’s no good.
r	IN1	DRESDEN1*	MUCH-OR-MANY1A*	BIG7*	DEAL1*	APARTMENT1A*	LITTLE-BIT4
l				BIG7*	DEAL1*
m	in	dresden	viel		geschäft	wohnen	wenig
Münster \| dgskorpus_mst_01 \| 46-60m There was a huge buffet.
r				BIG7*	TO-EAT-OR-FOOD2	BUFFET1*	BUFFET1*
l				BIG7*		BUFFET1*	BUFFET1*
m				gro{ß}		büfett	[MG]
München (Munich) \| dgskorpus_mue_07 \| 18-30m The third one is in the English garden. These are the biggest ones.
r	$LIST1:3of3d	$LIST1:4of4d		BIG7*	$NUM-ONE-TO-TEN1A:3d	BIG7*	$NUM-ONE-TO-TEN1A:3d
l	$LIST1:3of3d	$LIST1:4of4d	$INDEX2	BIG7*		BIG7*
m				oder groß		groß	drei
München (Munich) \| dgskorpus_mue_07 \| 18-30m The third one is in the English garden. These are the biggest ones.
r		BIG7*	$NUM-ONE-TO-TEN1A:3d	BIG7*	$NUM-ONE-TO-TEN1A:3d
l	$INDEX2	BIG7*		BIG7*
m		oder groß		groß	drei
München (Munich) \| dgskorpus_mue_07 \| 18-30m The biggest beer garden is the one in the English garden, I think.
r				BIG7*
l				BIG7*	MOST1B*	TO-BELIEVE2A*	I1
m				groß		glau{ben}
Nürnberg (Nuremberg) \| dgskorpus_nue_09 \| 18-30m It was even bigger in Hamburg.
r	$INDEX1	HAMBURG1*	$INDEX1	BIG7*	$INDEX1
l				BIG7*
m		ham{burg}		groß
Stuttgart \| dgskorpus_stu_07 \| 46-60m One could do something similar to what we’re doing right here, on a bigger scale, and create a corpus.
r			$INDEX1*	BIG7*	SAME2A*	$INDEX1*	ALSO3A
l				BIG7*	SAME2A*
m				groß	selbe	[MG]	auch

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