by transcript | by glosses | by right neighbours | by left neighbours
1204877 | 46-60m
But it was true, her son was waiting for her downstairs; she didn’t know what to do with me.
R
FACE1^* RIGHT-OR-AGREED1B* MY1 SON1*
L
M
stimmt mein sohn
1220195 | 46-60m
No, that's too exhausting for me.
R
$INDEX1* FACE1^* TO-PRESSURE1^* I1*
L
M
anstrengend
1180254 | 31-45m
But her body language is totally different and I then think that the person is mad.
R
I1 FACE1^* BEHAVIOUR2* TO-KNOW-STH2B^ BAD-MOOD2*
L
M
acha verhalten [MG]
1428907-… | 18-30f
She always had such a radiant smile, even though, she had gone through the crisis with her husband before that.
R
VERY7* FACE1^* TO-SHOW1A* TO-SMILE4 ALTHOUGH2*
L
M
[MG] zeigen aust{rahlung} obwohl»
1428907-… | 18-30f
She had a heart of gold and was very beautiful.
R
HEART1C^* BEAUTIFUL1A* FACE1^*
L
M
schön
1205503 | 61+f
I wouldn't have gotten this reaction if I'd only casually indicated that he should go to the first floor.
R
$GEST-ATTENTION1^* DOWN1 $GEST^ FACE1^* WHAT2 ANSWER1*
L
M
unten antwort
1250061-… | 18-30f
That's why my educator cried that day - she had stood on the rooftop before and was now able to feel empathy for those people.
R
THEREFORE1* I1 TO-EDUCATE4 FACE1^* TO-CRY1A* $INDEX1 BEEN2A
L
M
darum ich erzieh [MG] [MG] gewesen
1430328 | 31-45f
He looked and I said, “The man that’s standing there.”
R
TO-LOOK1* MAN1* WHAT-DOES-IT-LOOK-LIKE1* FACE1^ $GEST^
L
M
schau mann
1184756 | 31-45m
But the face looks so similar.
R
$ORAL^ FACE1 SIMILAR1 FACE1^ SIMILAR1 YOU1
L
M
aber gesicht ähnlich ähn{lich}
1180254 | 31-45m
Hearing people and their facial expressions, that is not easy to understand.
R
FACIAL-EXPRESSION1 HEARING1A* FACIAL-EXPRESSION1* FACE1^
L
M
mimik hörend mimik
1211075 | 46-60f
A double with the same hairstyle who was laughing the same way.
R
LIKE3B* EXACT4^ $PROD FACE1^ TO-LAUGH1*
L
M
wie [MG] lachen
1687803-… | 46-60f
He had a really ugly face, but he was very strict.
R
$ORAL^
L
FACE1^ TO-HATE1* FACE1^
M
hässlich aber trotz{dem}
1430328 | 31-45f
From afar it looked small, but up close it was a huge figure in the shape of a man.
R
SMALL9* AND3* $GEST^
L
FACE1^
M
und
1687803-… | 46-60f
He had a really ugly face, but he was very strict.
R
$ORAL^ STRICT2
L
FACE1^ TO-HATE1* FACE1^
M
hässlich aber trotz{dem} streng
Mouth: aussehen
Translational equivalents: look (appearance); to look like
by transcript | by glosses | by right neighbours | by left neighbours
1432043 | 46-60m
His look was pretty remarkable.
R
APPEARANCE2* TO-STRIKE1A*
L
M
1584411 | 18-30f
43 years. You look young for your age.
R
$NUM-TENS2A:4* STILL4B* YOUNG1* APPEARANCE2* YOUNG1 $GEST^
L
M
dreiundvierzig jung
1584855 | 46-60m
She looked quite greedily at the money.
R
VERY7* APPEARANCE2 $PROD TO-HOLD-PAPER1A MONEY1C*
L
M
[MG] [MG]
1220195 | 46-60m
Then, some wasted looking guys of my club joked around, you know, and started calling him a robot.
R
PLEASE3^ FUNNY1* INTOXICATED3B APPEARANCE2 INTOXICATED3B TO-CELEBRATE1 LIKE-THIS1A
L
M
besoffen [MG] so
1210206-… | 61+f
But his brother, Benedict’s brother from Regensburg, looks very lovable and nice.
R
FROM8* REGENSBURG1* TO-SEE1* APPEARANCE2 NICE2* REALLY2* LOVELY1B
L
M
aus regensburg [MG] nett lieb
1429124-… | 18-30m
You should have seen his face - you could really see his face falling.
R
TO-LOOK-AT7^* STUNNER1^ TO-STRIKE1A^ APPEARANCE2 FUNNY1* FAST3^ TO-STRIKE1A^*
L
M
lustig
1184367 | 61+f
Hearing people think deaf people always look sad, but that's not true.
R
HEARING1A DEAF1A SAD6B* APPEARANCE2 $GEST-NM-SHAKE-HEAD1^
L
M
hörend gehörlos traurig aussehen
1204239 | 61+m
She looked really good.
R
$INDEX1 BODY1^* GOOD1 APPEARANCE2 $INDEX1 PRETTY1A $GEST-OFF1^*
L
M
aussehen deine frau gut aussehen frau hübsch
1414503 | 61+f
My husband was doing better. He had gotten an infusion and looked a lot better.
R
I2 TO-SEE1* HUSBAND1* APPEARANCE2* GOOD1* APPEARANCE-FACE3C^* TO-ACCOMPLISH1A*
L
M
mann aus gut
1419265 | 18-30f
Oh my, you look really shocked.
R
L
SHOCK5 APPEARANCE2 YOU1
M
schock
1419265 | 18-30f
He still seems and looks nice.
R
GOOD1* LIKE3A*
L
APPEARANCE2*
M
wie
1290581 | 18-30m
When I got home my grandma said to me, “You’ve got a bad sunburn.”
R
HOW-QUESTION3* BURN1A* HIGH4B BURN1A*
L
GRANDMA1C APPEARANCE2* $INDEX1
M
oma verbrannt [MG] hoch v{erbrannt}
1419265 | 18-30f
He says, “It’s sad to see a pretty woman like you so sad.”
R
WOMAN4A* TOO-BAD1* $GEST^
L
BEAUTIFUL1A APPEARANCE2* SAD6A
M
schön frau schade traurig
Mouth: gesicht
Translational equivalent: face
by transcript | by glosses | by right neighbours | by left neighbours
1178768 | 61+m
He's wearing make-up and is dressed up. It's great.
R
FACE1* THEATRE6* CLOTHES1A^* SUPER1*
L
M
theater kostüm [MG]
1181240-… | 31-45m
Tooth brushing, washing the face and things like that are for later, first she needs to get dressed.
R
FACE1* TO-WASH-FACE1A* LATER3* FIRST1A*
L
M
später zuerst
1179224 | 46-60f
The head of Samuel Heinicke. That’s also something well known in Hamburg, the Samuel Heinicke bust.
R
FACE1* $INDEX-ORAL1 WELL-KNOWN1A
L
MASK3^
M
samuel heinicke hamburg bekannt
1248699 | 18-30f
We could read his face and instantly knew something bad had happened.
R
LIKE1A* FACE1* FACIAL-EXPRESSION1* ALREADY1B* EXPRESSION1A
L
M
wie mimik schon ausdruck
1584617 | 61+f
“I see! You look so much alike! Give him my regards!”
R
TO-LET1* FACE1* BOTH1* TO-LET1* TO-GREET1
L
M
ach so so ähnlich ach so schönen gruß
1247199 | 31-45f
His face wasn't the prettiest, but his figure was.
R
$INDEX1 FACE1* NOT3A* PRETTY1B $GEST-OFF1^*
L
M
nicht hübsch
1291636 | 61+m
One couldn’t make out any faces anymore.
R
PERSON1* FACE1* $GEST-OFF1^ TO-LET1*
L
M
per{son} egal [MG]
1210206-… | 61+f
His brother is a cardinal and very nice, I mean he looks like he is nice.
R
LOVELY1B $INDEX1* FACE1* LOVELY1B DONE1B
L
YOU1*
M
lieb
1205503 | 61+f
I think I can also show it with facial expressions when I'm not interested. For instance, when I don't feel like flirting and the other person still seeks eye contact and I’ll just resort to looking uninterested.
R
STUPID3* $INDEX4 I1 FACE1* TO-SHOW1A* $ORAL^ COLD2
L
M
blöd [MG] zeigen auch kalt»
2025500 | 46-60m
Maybe some new people could offer some new perspectives and opinions; I would like that.
R
$INDEX1 NEW1A FACE1* $INDEX1 OVER-OR-ABOUT1^ TASK1B
L
M
[MG] neu gesicht vielleicht andere aufgabe
1428907-… | 18-30f
She looked so pretty in those pictures and she had such a nice smile.
R
PICTURE4 PRETTY1A* FACE1* TO-LAUGH1* $PROD
L
M
bild hübsch lachen [MG]
1427725 | 18-30m
This way her face was smooth and even.
R
$PROD AREA-CHEEK1A^* FACE1* TOTALLY-FINE1* WHITE1B AREA-CHEEK1A^*
L
M
[MG] glatt [MG] weiß
1211752 | 18-30f
No, it’s about the face. The ears are hanging down.
R
NO1A $PROD FACE1* BONKERS1A^* $PROD $PROD
L
M
pfoten [MG]
1419607 | 61+m
That scar on the head completely disfigures a person’s face.
R
SCAR1A FACE1 UGLY5 FACE1* UGLY5
L
M
[MG] [MG]
1210825 | 46-60m
Some people think I’m a foreigner because of the way I look.
R
$INDEX1 NOT3A OPINION1B FACE1* I1 LIKE3B MOVEMENT1B
L
M
nicht mein wie
1413251 | 46-60m
Maybe just some new facial expressions or gestures, nothing else.
R
LIKE3A* EASY1* NEW1A FACE1* GESTURE1^* DONE1A ENOUGH3
L
M
wie einfa{ch} neu [MG] [MG]
2935384-… | 61+m
The saleswoman blushed.
R
TRADE-OR-STORE1 WOMAN1A RED1A* FACE1*
L
M
geschäftsfrau wird rot
1248505 | 31-45f
Isn't it obvious, just look at his face.
R
TO-BELIEVE2A I1 TO-STRIKE1A FACE1*
L
M
logisch auffallen
1248400 | 46-60m
But Oba/ Oba/ What's his name again? You know, the one with dark skin. He makes all these obstacles more transparent and is closer to his people.
R
$INIT-CIRCLE1^* $GEST^* $GEST-I-DONT-KNOW1^* FACE1* SKIN-CHEEK1* BROWN25* SKIN-CHEEK1
L
M
obama braun
1211075 | 46-60f
I can still remember that I liked her shy look with the see-through skirt, the blouse, and the pretty face.
R
I1 SHIRT2B^* $PROD FACE1* SHY1B* TO-LOOK2* I1
L
M
noch schüchtern an
1430328 | 31-45f
They remodeled the mine and held some exhibitions. These showed the old mine workers with their black faces and the old houses from back then.
R
PICTURE4* PAST1^* SOURCE-TO-EMANATE1^* FACE1* $PROD $PROD $PROD
L
M
bild schwarz [MG]
1179856 | 46-60m
There is just a head.
R
FACE1 THATS-ALL1B
L
M
1583043 | 61+m
He had a very stern facial expression.
R
FACE1 STH-OR-SLIGHTLY3^ SERIOUS1A* HARD1C
L
M
und [MG] hart
1419265 | 18-30f
Completely, not even the head peaks out at the top.
R
FACE1 TO-SEE1 NOT3B* BLANKET2*
L
M
1584617 | 61+f
The both of them looked quite similar. So, another deaf guy came over, slapped the brother’s back and said, “Gosh, haven’t seen you in a while!”
R
I1 FACE1 BIT4A* SIMILAR1 DIFFERENT2
L
M
warum bisschen ähnlich andere
1584617 | 61+f
The other guy finally understood, “I get it now! You look so much alike. You have to let me know that you are the brother then!”
R
$GEST-NM^ FACE1 SIMILAR1 MUST2 TO-SAY1
L
M
[MG] ähnlich muss sagen
1184756 | 31-45m
But the face looks so similar.
R
$ORAL^ FACE1 SIMILAR1 FACE1^ SIMILAR1
L
M
aber gesicht ähnlich ähn{lich}
1209495-… | 18-30f
Exactly, new faces.
R
NEW1A FACE1
L
M
neu gesicht
1419607 | 61+m
That scar on the head completely disfigures a person’s face.
R
SCAR1A FACE1 UGLY5 FACE1* UGLY5
L
M
[MG] [MG]
1428907-… | 18-30f
Still, she always kept a bright smile on her face.
R
NEVERTHELESS1 FACE1 TO-SHOW1A* TO-PUT-A-GOOD-FACE1
L
M
trotzdem zeigen [MG]
1210825 | 46-60m
My build sometimes makes people afraid that I might hurt them.
R
$ORAL^ FACE1 $PROD AND2B* CLOTHES3^
L
M
aber und weiß
1413451-… | 18-30m
When I first saw him in that condition, his face and legs were very stiff.
R
$INDEX1* TO-LIE-LEG1B^* $ALPHA1:K-O-M-A FACE1 TO-LIE-LEG1B*
L
M
opa koma
1292458 | 18-30m
I don’t remember the name of the former mayor, but I remember what he looks like.
R
BUT1* ON-PERSON1 TO-KNOW-STH-OR-SB1A* FACE1
L
M
aber kennen gesicht
1428905 | 18-30f
I met some new faces.
R
TO-GET-TO-KNOW1 NEW4A FACE1
L
M
kennenlernen neu gesicht
1429124-… | 18-30m
The referee gave him a thumbs-up, but looked quite hurt.
R
$INDEX1 GOOD4^* FACE1 AFFECTED2 DONE4
L
M
[MG] betroffen
1182343 | 31-45f
The student's face looked desperate.
R
TEACHER2* TO-STUDY2 FACE1 $PROD
L
M
le{hrer} student
2025500 | 46-60m
I would like to see some new faces, to have a bit of new blood.
R
TO-WISH1B* OFFSPRING1 NEW5 FACE1
L
M
wünsche nachwuchs neu gesicht
1248505 | 31-45f
They really look alike.
R
$INDEX1* $LIST1:2of2d TO-STRIKE1A FACE1 $GEST-AGREEMENT1^*
L
M
auffallend
1248505 | 31-45f
The first son is Charles’, but the second one just looks so different, it's striking.
R
RIGHT-OR-AGREED1A FACE1 TO-STRIKE1A HAIR-SHORT1^* ORIGINAL1
L
$NUM-ONE-TO-TEN1A:1d $NUM-ORDINAL1:2d
M
ein stimmt auffallen rot
1211752 | 18-30f
The main thing is to just put on a nice smile when you see a new face.
R
MAIN-POINT1A I1 WHAT-DOES-THAT-MEAN1* FACE1 NEW1B* I1* $GEST-NM^
L
M
haupt{sache} was neu [MG]
1210763 | 18-30m
The people there look really cute because they have these specific eyes; they look really sweet.
R
PEOPLE2* SMALL3* $GEST-OFF1^* FACE1 EYE-LID-SLIT1A^* FACE1 SWEET1
L
M
leute [T03] [MG] [MG] süß
1204239 | 61+m
She looked good.
R
$INDEX1* TO-KNOW-STH2A* BEAUTIFUL3* FACE1 BEAUTIFUL3 $GEST-OFF1^*
L
M
schön hübsch schön
1248505 | 31-45f
But it is so obvious; they have the same facial features. It must be genetics.
R
TO-SEE1* TO-BETRAY1A* TO-STRIKE1A FACE1 EQUAL8* MUST1* TO-HAVE-TO-OWN1
L
M
verra{ten} auffallen [MG] muss haben
1205503 | 46-60f
I think the people often don't let it show when they are two-faced.
R
SILENT2 NOT-ANYMORE1A $NUM-ONE-TO-TEN1A:2d FACE1 KIND1* $GEST-I-DONT-KNOW1^
L
M
[MG] [MG] zwei gesichtsarten [MG]
1211752 | 18-30f
The paws can be in focus in the foreground, and in the background the small face can be seen.
R
$INDEX1* SHARP1A* FACE1
L
$INDEX1*
M
scharf
1419265 | 18-30f
Suddenly, she meets a good looking man who starts talking to her.
R
MAN1* $PROD PRETTY1A FACE1 TO-SPOT2* $PROD $GEST-OFF1^
L
M
mann hübsch
1210763 | 18-30m
The people there look really cute because they have these specific eyes; they look really sweet.
R
$GEST-OFF1^* FACE1 EYE-LID-SLIT1A^* FACE1 SWEET1
L
M
[MG] [MG] süß
1205503 | 46-60f
When you have eye contact, you can sense the mood of the other person.
R
TO-LOOK2* EYE1* IMPRESSION1* FACE1
L
M
blick eindruck
1290126 | 31-45m
Then somebody joined us, a new face.
R
TALK2A* TO-COME3* NEW4A FACE1 PERSON1* TO-COME3*
L
M
[MG] [MG] neu gesicht [MG]
1292086 | 46-60f
I wasn't supposed to improve my speech but rather my face and the facial expressions.
R
TO-IMPROVE1 TO-NEED1* NO4^ FACE1 FACIAL-EXPRESSION1
L
M
[MG] brauchen nicht [MG] mimik
1209495-… | 18-30f
They’re always in the same city and find new faces there.
R
AMONG-EACH-OTHER3* ALSO1A NEW4A* FACE1
L
M
stadt auch neu gesicht
1248090 | 31-45m
She uses facial expression quite vividly.
R
FACE1* FACIAL-EXPRESSION1* PRESENT-OR-HERE1*
L
$INDEX1
M
[MG] mimik
1429964 | 61+f
My deaf daughter and my hearing daughter look a lot alike.
R
HEARING1A* $LIST1:2of2d* SIMILAR1* FACE1* SIMILAR1*
L
M
hörend ähnlich gesicht ähnlich
1419124 | 18-30f
I think that the grandma recognizes the cat’s face at this point.
R
$INDEX1 CAT1A*
L
TO-SEE1 FACE1
M
[MG] katze
Mouth: kopf
Translational equivalent: head
by transcript | by glosses | by right neighbours | by left neighbours
1429124-… | 18-30m
It showed a satanically grimacing skull with a beard and the BVB-logo on its forehead. It looked pretty neat.
R
$GEST-TO-PONDER1^ HEAD2* PHOTO2^* HEAD1A OBJECT-ON-NECKLACE1^*
L
M
to{ten}kopf
1249620 | 18-30m
A baby’s head is so small, you can’t attach such a big implant.
R
BABY1* HEAD2* SMALL6* $INDEX1* $PROD
L
M
kopf klein
1429124-… | 18-30m
It showed a satanically grimacing skull with a beard and the BVB-logo on its forehead. It looked pretty neat.
R
$ALPHA1:B-V* STAIN1A^* DEATH3 HEAD2* BEARD2A* I1* TO-STRIKE1A^
L
M
b-v-b totenkopf [MG] [MG]
1419607 | 46-60f
[Towards B again] If it were just about the body, that is fine, but it is about the head!
R
$INDEX1 ARM1B^ HEAD2
L
M
körper kopf
1419607 | 46-60f
I would not let anybody touch my head, it is way too important to me.
R
DEAF1B DANGEROUS1A^* PRECIOUS1 HEAD2 $$EXTRA-LING-ACT^
L
M
[MG] kostbar kopf
2935384-… | 61+m
I insisted on ‘baa’.
R
MATERIAL2A^* CAN2B^ HARD4A HEAD2 I1 $GEST-NM^
L
M
bleiben hart kopf [LM:mäh]
1419607 | 46-60f
One is already deaf and then with that surgery there is a risk of going blind or who knows what.
R
I2 BLIND1A IN-ADDITION-MORE-AND-MORE1 HEAD2
L
M
ich [MG] dazu dazu kopf
1429124-… | 18-30m
It showed a satanically grimacing skull with a beard and the BVB-logo on its forehead. It looked pretty neat.
R
HEAD1A OBJECT-ON-NECKLACE1^* $GEST-TO-PONDER1^* HEAD2* $ALPHA1:B-V* STAIN1A^* DEATH3
L
M
kopf b-v-b totenkopf»
1250972 | 31-45f
Then I always ask myself who all these new faces are.
R
NEW1A
L
HEAD2 I1* TO-LOOK-AT1 WHO3
M
neu kopf [MG] [MG] wer wer
