TO-WASH-FACE1B^

	

= TO-WASH-FACE1B (14 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: to wash (face)
by transcript | by glosses | by right neighbours | by left neighbours
1291638 mst11 | 61+m    The ice cold water was poured inside and I had to wash myself and brush my teeth, it was so cold.
R		TO-TURN1A*	TO-DRIP1^	TO-WASH-FACE1B*	TO-BRUSH-TEETH1*	COLD1	TO-WASH-FACE1B*
L
M		[MG]	[MG]	[MG]	[MG]	kalt
1181455 stu08 | 61+f    You walk around and wash yourself.
R				TO-WASH-FACE1B*
L		$GEST-DECLINE1^*	TO-WALK9D*
M		dann	laufen	waschen
1291638 mst11 | 61+m    The ice cold water was poured inside and I had to wash myself and brush my teeth, it was so cold.
R	TO-WASH-FACE1B*	TO-BRUSH-TEETH1*	COLD1	TO-WASH-FACE1B*
L
M	[MG]	[MG]	kalt
1181240-… stu09 | 31-45m    So, once the children are done with washing and combing, I send them to put on shoes and jackets.
R	$$EXTRA-LING-ACT^	$NUM-ORDINAL1:1d	$NUM-ORDINAL1:2d	TO-WASH-FACE1B*	$GEST^		$INDEX1*
L						$NUM-ORDINAL1:3d
M		erste	zweite			[MG]
1291638 mst11 | 61+m    At my foster parents’ house, I had to wash myself in the mornings at a sink with ice cold water.
R	EARLY2A	$INDEX1	$PROD	TO-WASH-FACE1B*	COLD1	WATER2A*
L
M	früh				kalt	wasser
1181240-… stu09 | 31-45m    So, once the children are done with washing and combing, I send them to put on shoes and jackets.
R	$GEST^		$INDEX1*	TO-WASH-FACE1B*	DONE1B	COMB1	DONE1B*
L		$NUM-ORDINAL1:3d
M		[MG]			fertig	kämmen	fertig
1181240-… stu09 | 31-45m    Once the little one is done washing, I put some lotion on her face.
R		$PROD	DONE1A	TO-WASH-FACE1B		CREAM1*	$PROD
L					$PROD
M		[MG]			[MG]	creme
1291638 mst11 | 61+m    It was an old, deep sink made from metal, not a luxurious, shallow sink.
R	OLD2C*	$PROD	METAL1*	TO-WASH-FACE1B	$PROD	CONTAINER2^*	CONTAINER2^
L
M	alt		metall	waschbecken		[MG]	[MG]
1211515 stu04 | 61+f    I had to wash myself first of all because I was so dirty.
R				TO-WASH-FACE1B*	BODY1	DIRTY3C	$PROD
L
M				muss waschen		schmutzig
1430396 koe16 | 46-60m    Everyone came out of the rooms then to get cleaned up.
R		MASS-OF-PEOPLE-ACTIVE4A^*	I2*	TO-WASH-FACE1B*
L
M		[MG]		w{a}sch
1430396 koe16 | 46-60m    There was a huge room with rows of sinks.
R	$PROD		$INDEX1*	TO-WASH-FACE1B*	$PROD
L		$PROD
M				wasch	[MG]
1204191 stu05 | 61+m    They paid attention to our manners when eating and to our cleanliness, and we had to make our own beds every morning.
R	TO-EAT-OR-FOOD2*	$LIST1:2of2d	DAILY2A*	TO-WASH-FACE1B*	$LIST1:3of3d	CLOTHES1A*	SELF1A
L	$NUM-ONE-TO-TEN1A:1d
M	essen			waschen			selb{st}
1687803-… lei07 | 46-60f    We were sent to the bathroom and then to bed.
R							TO-SLEEP2^*
L	$INDEX1	TO-GO1A*	TO-EAT-OR-FOOD2*	TO-WASH-FACE1B*	TO-GO1A*	BED2A*
M				waschen		bett

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Types ID	Gloss	HamNoSys	Mouth	iLex	ELAN	SRT	Video frontal	Video 45°	Video 90°	Video from above	Pose
17941	TO-WASH-FACE1B^		∅
9662	TO-WASH-FACE1B		∅