TO-SERVE1B^



L	TO-TIDY1*	TO-WASH1B	$PROD	TO-SERVE1B^*
≙ TO-SERVE1B^ (4 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1431224 1431224 \| 31-45m At first the stewardess acted as she was supposed to as I very clearly ordered, “A coke, please!”
R		$INDEX1*	$PROD	TO-SERVE1B^*	$PROD	METICULOUS1^*	$GEST^*
L						METICULOUS1^*
M				serviererin
1250972 1250972 \| 31-45f There's so much going on, there's a lot of food to be served.
R		$PROD	MUCH1A*	TO-SERVE1B^*	TO-EAT-OR-FOOD2
L				TO-SERVE1B^*
M			zu viel	[MG]	essen
1250972 1250972 \| 31-45f When everyone is eating, everyone has to be attended to.
R	PEOPLE2*	TO-EAT-OR-FOOD2	PEOPLE2*	TO-SERVE1B^*
L				TO-SERVE1B^*
M	leute	essen	leute	[MG]
1250972 1250972 \| 31-45f Most of the time I have to wash the cups used during the breakfast hours.
R	TO-TIDY1*	TO-WASH1B	$PROD	TO-SERVE1B^*
M	ab aufräumen		[MG]
= SERVICE2B (4 tokens)
Translational equivalents: to serve; service; maintainance
by transcript \| by glosses \| by right neighbours \| by left neighbours
1245820 1245820 \| 31-45m There they immediately grant you Tess.
R		$ORG-TESS1*	$INDEX-ORAL1	SERVICE2B
L		$ORG-TESS1*		SERVICE2B
M		tess	sofort
1250972 1250972 \| 31-45f Most of the time I have to wash the cups used during the breakfast hours.
R		ONLY2A	BREAKFAST2*	SERVICE2B	CUP1*	$PROD	TO-TIDY1*
L				SERVICE2B			TO-TIDY1*
M		nur	frühstück	[MG]	tassen		ab aufräumen
1180339-16161232-16363818 1180339-… \| 31-45m Then, you stop at a restaurant to eat lots of kale.
R	RESTAURANT1	TO-EAT-OR-FOOD2*	SATED1*	SERVICE2B
L	RESTAURANT1			SERVICE2B
M	restaurant	es{sen}	satt
1250972 1250972 \| 31-45f She started working for a pizza delivery service.
R			PIZZA5	SERVICE2B*	$INDEX1*	TO-JOIN1*
L				SERVICE2B*			I2
M			pizza	service		[MG]

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