Mouth: blau
Translational equivalent: blue
by transcript | by glosses | by right neighbours | by left neighbours
1184756 nue04 | 31-45m
They are light blue with the typical three stripes in yellow.
r BRIGHT1 BLUE3A $PROD $PROD YELLOW3A*
l
m hellblau adidas gelb
1184756 nue04 | 31-45m
Well, it’s green and blue.
r $GEST-TO-PONDER1^ GREEN9A* BLUE3A
l
m [MG] grün blau
1206010 mue12 | 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
1210825 mue13 | 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 hh05 | 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
1183846 hh05 | 31-45m
Yes! So anyway, I tried in “Blue” to/
r YES2 BLUE3A $INDEX1 I1 UMLAUT-MARK1^*
l
m ja blue
1183846 hh05 | 31-45m
… because just before “Blue” I had signed a piece at the Sign Language festival.
r REASON4A FIRST1A BEFORE1G* BLUE3A BEFORE1G TO-SIGN1A* FESTIVAL2B
l
m grund zuerst bevor bevor blue vor gebärdensprachfestival
1210763 mue04 | 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
1184756 nue04 | 18-30f
Those three colors: black, red, yellow, um.
r RED1A YELLOW3A* $GEST-TO-PONDER1^* BLUE3A*
l
m rot gelb
1210825 mue13 | 46-60m
Light blue and purple are also difficult to tell apart.
r BLUE3A AND2A PURPLE1A* BLUE3A* DIFFERENCE1A* I2 $GEST-OFF1^*
l
m … und lila [MG] ich
1183846 hh05 | 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
1177002 hh02 | 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}
1183203 stu15 | 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 stu15 | 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* RED1A* $INDEX1*
l $NUM-ONE-TO-TEN1A:2d
m blau [MG] blau rot
1210825 mue13 | 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
1183203 stu15 | 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
1248862 goe07 | 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]