COLOURS5^

	

frontal

45°

90°

from above

= BLUE3
Göttingen \| dgskorpus_goe_07 \| 18-30m If I were shown on tv, deaf people would approach me until I would have bruises on my shoulders.
r	ANYWAY1*	DEAF1A	TO-LET-KNOW1A*	BLUE3	BUMP1*
l			TO-LET-KNOW1A*
m	sowieso	gehörlos		blau	[MG]
Hamburg \| dgskorpus_hh_02 \| 31-45f It’s not so much about the child being deaf, but whether you will be able to decide on your child’s hair being blond, or it having blue eyes, or being 1,80 meters tall?
r	BLOND1A	I2*	TO-WISH1A*	BLUE3	I1	TO-WISH1A*	$NUM-ONE-TO-TEN1A:1d
l
m	…		wunsch	blau	ich	wunsch	ei{n}
Hamburg \| dgskorpus_hh_05 \| 31-45m Then they had this project called “Blue” at the institute [Whenever the informant mentions “the institute” he probably talks about the institute of German Sign Language at the University of Hamburg].
r	PROJECT2A	$INDEX1	INSTITUTE1	BLUE3	$INDEX1
l			INSTITUTE1
m	projekt		institut	blue
Hamburg \| dgskorpus_hh_05 \| 31-45m Yes! So anyway, I tried in “Blue” to/
r			YES2	BLUE3	$INDEX1	I1	UMLAUT-MARK1^*
l
m			ja	blue
Hamburg \| dgskorpus_hh_05 \| 31-45m … because just before “Blue” I had signed a piece at the Sign Language festival.
r	REASON4A	FIRST1A	BEFORE1G*	BLUE3	BEFORE1G	TO-SIGN1A*	FESTIVAL2B
l	REASON4A		BEFORE1G*		BEFORE1G	TO-SIGN1A*	FESTIVAL2B
m	grund	zuerst	bevor bevor	blue	vor	gebärdensprachfestival
München (Munich) \| dgskorpus_mue_04 \| 18-30f The ocean was something else entirely. It was so beautiful, especially the white sanded beach and the blue sea and the palm trees along side of it.
r	WHITE1A	BEACH1*	$GEST-OFF^	BLUE3	OCEAN2A*	$GEST-OFF^	$GEST-INCREDIBLE1^
l		BEACH1*	$GEST-OFF^		OCEAN2A*	$GEST-OFF^	$GEST-INCREDIBLE1^
m	weiß	strand		blau	meer
München (Munich) \| dgskorpus_mue_12 \| 46-60f At some point I came in contact with the motorsports club “Weiß-Blau-München” [name: “White-Blue-Munich”] through my ex-husband.
r	SOMETIMES2*	TO-SAY1	WHITE1A*	BLUE3	SPORTS1^	$INDEX1
l	SOMETIMES2*				SPORTS1^
m	man{chmal}	sagt man	weiß	blau	motorsport
München (Munich) \| dgskorpus_mue_13 \| 46-60m He was in the club blue-white Bochum. They played in the national league.
r	GRANDPA2A	$INDEX1*	SUCCESS1^*	BLUE3	WHITE1A*	UNION1A^*	$INDEX1
l						UNION1A^*
m	opa		wasserball	blau-weiß bochum
Rostock \| dgskorpus_mvp_08 \| 46-60m I wore a blue shirt.
r				BLUE3	SHIRT1	I1
l					SHIRT1
m				blau
Rostock \| dgskorpus_mvp_08 \| 46-60m Yes, a blue shirt and a red kerchief.
r				BLUE3	SHIRT1	RED1A	KNOT1*
l					SHIRT1		KNOT1*
m				blau	hemd	rot
Rostock \| dgskorpus_mvp_08 \| 46-60m Adults wore a blue shirt and the Free German Youth patch on the sleeve.
r		AND6	ADULTS1B*	BLUE3	SHIRT3*	$PROD
l					SHIRT3*	$PROD
m		und	erwachsene	blau		f-d-j
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f They are light blue with the typical three stripes in yellow.
r			BRIGHT1	BLUE3	$PROD	$PROD	YELLOW3B
l			BRIGHT1		$PROD	$PROD
m			hellblau			adidas	gelb
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f Well, it’s green and blue.
r		$GEST-TO-PONDER1^	GREEN9A*	BLUE3
l
m		[MG]	grün	blau
Berlin \| dgskorpus_ber_09 \| 18-30f You can see its eyes through the binoculars as well - big and blue.
r			$PROD	BLUE3*	$PROD
l			$PROD		$PROD
m				blau
Berlin \| dgskorpus_ber_09 \| 18-30f It steers happily with its blue eyes.
r			$PROD	BLUE3*	$PROD	$PROD
l			$PROD		$PROD	$PROD
m				blau
Hamburg \| dgskorpus_hh_05 \| 31-45m At some point we got the script for “Blue” and started to think about the way we could realize it and Marco said to Tomas Vollhaber, “Hey, you should be in the play, too!”
r	$GEST-TO-PONDER1^*	SUBJECT1*	TEXT1B	BLUE3*	TEXT1B	TO-TRANSLATE2*	HOW-QUESTION-COMPARISON1*
l	$GEST-TO-PONDER1^*	SUBJECT1*	TEXT1B		TEXT1B	TO-TRANSLATE2*	HOW-QUESTION-COMPARISON1*
m		thema		blue	text	transkription	wie
München (Munich) \| dgskorpus_mue_13 \| 46-60m Light blue and purple are also difficult to tell apart.
r	BRIGHT1*	BRIGHT1*		BLUE3*	AND2A	PURPLE1*	BLUE3*
l	BRIGHT1*	BRIGHT1*	PURPLE1*		AND2A
m		hellblau			und	lila
München (Munich) \| dgskorpus_mue_13 \| 46-60m Light blue and purple are also difficult to tell apart.
r	BLUE3*	AND2A	PURPLE1*	BLUE3*	DIFFERENCE1A*	I2	$GEST-OFF^*
l		AND2A			DIFFERENCE1A*
m	…	und	lila		[MG]	ich
Nürnberg (Nuremberg) \| dgskorpus_nue_04 \| 18-30f Those three colors: black, red, yellow, um.
r	RED1A	YELLOW3B*	$GEST-TO-PONDER1^*	BLUE3*
l			$GEST-TO-PONDER1^*
m	rot	gelb
Stuttgart \| dgskorpus_stu_12 \| 46-60f The sea had clear blue water like in paradise.
r	OCEAN1A	GOOD1*	CLEAR1A	BLUE3*	ALL1A^*	BLUE3*	$GEST-OFF^
l	OCEAN1A	GOOD1*	CLEAR1A		ALL1A^*		$GEST-OFF^
m	meer		klar	blau	blau	blau
Stuttgart \| dgskorpus_stu_12 \| 46-60f The sea had clear blue water like in paradise.
r	CLEAR1A	BLUE3*	ALL1A^*	BLUE3*	$GEST-OFF^	MASS-OF-PEOPLE-ACTIVE1^*
l	CLEAR1A		ALL1A^*		$GEST-OFF^	MASS-OF-PEOPLE-ACTIVE1^*
m	klar	blau	blau	blau
Stuttgart \| dgskorpus_stu_15 \| 61+f He was supposed to sort them by the colors blue, red, yellow, and green. That‘s how we practiced to sign those colors.
r			$INDEX1	BLUE3*	$INDEX1*	BLUE3*	$INDEX1*
l						$NUM-ONE-TO-TEN1A:2d
m				blau	[MG]	blau
Stuttgart \| dgskorpus_stu_15 \| 61+f He was supposed to sort them by the colors blue, red, yellow, and green. That‘s how we practiced to sign those colors.
r	$INDEX1	BLUE3*	$INDEX1*	BLUE3*	$INDEX1*	RED1A*	$INDEX1*
l				$NUM-ONE-TO-TEN1A:2d
m		blau	[MG]	blau			rot
Stuttgart \| dgskorpus_stu_15 \| 61+f Later on, he sat in the car with his mother and was able to point at differently colored things outside and show the respective sign for each color.
r	CAR1	TO-DRIVE1*	$INDEX1*	BLUE3*		RED1A*	$INDEX1*
l	CAR1	TO-DRIVE1*			$INDEX1
m	auto	fahr	blau		rot

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