$COLOURS5A^

	
	664

= BLUE3A (17 tokens)
Mouth: blau
frontal 45° 90° from above
Translational equivalent: blue
by transcript | by glosses | by right neighbours | by left neighbours
1183203 1183203 | 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	BLUE3A*	$INDEX1*	BLUE3A*	$INDEX1*
L						$NUM-ONE-TO-TEN1A:2d
M				blau	[MG]	blau
1183203 1183203 | 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*	BLUE3A*		RED1A*	$INDEX1*
L					$INDEX1
M	auto	fahr	blau		rot
1177002 1177002 | 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	BLOND1B	I2*	TO-WISH1A*	BLUE3A*	I1	TO-WISH1A*	$NUM-ONE-TO-TEN1A:1d
L
M	blond		wunsch	blau	ich	wunsch	ei{n}
1210825 1210825 | 46-60m    He was in the club blue-white Bochum. They played in the national league.
R	GRANDPA2A	$INDEX1*	WATER-POLO2*	BLUE3A*	WHITE1B	UNION1A^*	$INDEX1
L
M	opa		wasserball	blau-weiß bochum
1248862 1248862 | 18-30f    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*	BLUE3A*	BUMP1*
L
M	sowieso	gehörlos		blau	[MG]
1210825 1210825 | 46-60m    Light blue and purple are also difficult to tell apart.
R	BLUE3A	AND2A	PURPLE1A*	BLUE3A*	DIFFERENCE1A*	I2	$GEST-OFF1^*
L
M	hellblau	und	lila		[MG]	ich
1184756 1184756 | 18-30f    Those three colors: black, red, yellow, um.
R	RED1A	YELLOW3A*	$GEST-TO-PONDER1^*	BLUE3A*
L
M	rot	gelb
1184756 1184756 | 31-45m    They are light blue with the typical three stripes in yellow.
R			BRIGHT1	BLUE3A	$PROD	$PROD	YELLOW3A*
L
M			hellblau			adidas	gelb»
1183846 1183846 | 31-45m    Yes! So anyway, I tried in “Blue” to/
R			YES2	BLUE3A	$INDEX1	I1	UMLAUT-MARK1^*
L
M			ja	blue
1184756 1184756 | 31-45m    Well, it’s green and blue.
R		$GEST-TO-PONDER1^	GREEN9A*	BLUE3A
L
M		[MG]	grün	blau
1183846 1183846 | 31-45m    … because just before “Blue” I had signed a piece at the Sign Language festival.
R	REASON4A	FIRST1A	BEFORE-TEMPORAL1*	BLUE3A	BEFORE-TEMPORAL1	TO-SIGN1A*	FESTIVAL2B
L
M	grund	zuerst	bevor bevor	blue	vor	gebärdensprachfestival
1210825 1210825 | 46-60m    Light blue and purple are also difficult to tell apart.
R	BRIGHT1*	BRIGHT1*		BLUE3A	AND2A	PURPLE1A*	BLUE3A*
L			PURPLE1A*
M		hellblau			und	lila
1183846 1183846 | 31-45m    Then they had this project called “Blue” at the Institute [… of German Sign Language, University of Hamburg].
R	PROJECT2A	$INDEX1	INSTITUTE1	BLUE3A	$INDEX1
L
M	projekt		institut	blue
1210763 1210763 | 18-30m    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-OFF1^	BLUE3A	OCEAN2A*	$GEST-OFF1^	$GEST-INCREDIBLE1^
L
M	weiß	strand		blau	meer
1206010 1206010 | 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*	BLUE3A	SPORTS1^	$INDEX1
L
M	man{chmal}	sagt man	weiß-blau		motorsport
1183846 1183846 | 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	BLUE3A*	TEXT1B	TO-FLIP-STH-OVER3A^*	HOW-QUESTION2*
L
M		thema		blue	text	transkription	wie

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Types ID	Gloss	HamNoSys	Mouth	iLex	ELAN	SRT	Video frontal	Video 45°	Video 90°	Video from above	Pose
18393	$COLOURS5A^		∅
11354	BLUE3A		blau