TO-CLEAN-UP4A^



= CLEANING4A
Leipzig \| dgskorpus_lei_09 \| 31-45f I worked as a cleaning lady at the restaurant “Kornhaus”. It's right on the banks of the Elbe.
r	TO-WORK2*	TO-OBTAIN3*	CERTAIN1*	CLEANING4A*	FOR1^*	RESTAURANT1	WITH2
l	TO-WORK2*	TO-OBTAIN3*	CERTAIN1*	CLEANING4A*	FOR1^*	RESTAURANT1	WITH2
m	arbeit	bekommen	best{immte}	reinigung		restaurant
= TO-CLEAN-UP4A
Leipzig \| dgskorpus_lei_09 \| 31-45f It was really stressful: wiping away the mud over and over again, then going outside looking after things, and coming back in to vacuum the staircase once again.
r	MUD1*	$PROD		TO-CLEAN-UP4A	DONE1A	$PROD	CONTROL1
l	MUD1*	$PROD	I2	TO-CLEAN-UP4A	DONE1A	$PROD	CONTROL1
m	schlamm			sauber sauber			kontrolle
Leipzig \| dgskorpus_lei_09 \| 31-45f I, again, had to do some cleaning.
r		I1*	$INDEX1*	TO-CLEAN-UP4A	PROCEEDING2
l				TO-CLEAN-UP4A	PROCEEDING2
m				sauber
Leipzig \| dgskorpus_lei_09 \| 31-45f I cleaned everything and waited for my colleague to finish his work.
r			TO-WORK1*	TO-CLEAN-UP4A*	DONE4	EVENING1
l	I2	TO-WAIT1A	TO-WORK1*	TO-CLEAN-UP4A*	DONE4	EVENING1	I1*
m			arbeit	sauber		abend
= TO-CLEAN5
Leipzig \| dgskorpus_lei_09 \| 31-45f I cleaned there regularly.
r	$GEST-DECLINE1^*		TO-WORK2	TO-CLEAN5	TO-WIND1^
l	$GEST-DECLINE1^*	I1	TO-WORK2	TO-CLEAN5	TO-WIND1^
m			arbeite	putzen
Leipzig \| dgskorpus_lei_09 \| 31-45f The restaurant I worked for is situated right on the banks of the Elbe.
r	I2*	CLOSE-BY1B*	$PROD	TO-CLEAN5	RESTAURANT1	$INDEX1*	$INDEX1*
l		CLOSE-BY1B*	$PROD	TO-CLEAN5	RESTAURANT1
m		[MG]		putzen	restaurant
Leipzig \| dgskorpus_lei_09 \| 31-45f That was exhausting for me, because I had to wipe it away constantly.
r				TO-CLEAN5
l	I1	TROUBLE1^	I1	TO-CLEAN5
m		[MG]
Leipzig \| dgskorpus_lei_09 \| 31-45f Oh well. Still, I was a bit mad, because I didn't want to mop the floor from morning to night.
r				TO-CLEAN5
l	I1	NOT-YET3	UNTIL1*	TO-CLEAN5	I2
m		noch nicht	bis		[MG]
Leipzig \| dgskorpus_lei_09 \| 31-45f I wiped away the entire mud that people had tracked into the restaurant with their shoes.
r		TO-GO1A*		TO-CLEAN5	NO3B^*	CLEAN1	MUD1
l	I1		$INDEX1	TO-CLEAN5	NO3B^*	CLEAN1	MUD1
m				reinigung	sauber		schlamm schlamm
Berlin \| dgskorpus_ber_03 \| 46-60f I just continued working as per usual, cleaned and stuff like that.
r	I2	TO-WORK2*	AS-ALWAYS1*	TO-CLEAN5*	$GEST^
l		TO-WORK2*	AS-ALWAYS1*	TO-CLEAN5*	$GEST^
m		arb{eit}	[MG]	pu{tzen}
Bremen \| dgskorpus_hb_01 \| 31-45m On their 30th birthday men have to mop, and women have to clean.
r		TO-SWEEP1A*	WOMAN1A	TO-CLEAN5*	$GEST-OFF^
l	MAN1	TO-SWEEP1A*			$GEST-OFF^
m	mann	fegen	frau	putzen
Leipzig \| dgskorpus_lei_09 \| 31-45f I worked until nine o'clock in the evening, cleaning everything and getting everything ready.
r			TO-WORK2*	TO-CLEAN5*	UNTIL1*	EVENING1	NO3B^*
l	LATER10	I1	TO-WORK2*	TO-CLEAN5*		EVENING1	NO3B^*
m	später		arbeiten	sauber	bis	{a}bend
München (Munich) \| dgskorpus_mue_12 \| 46-60f I was there with my mom who helped cleaning the new building.
r	$GEST^*	$ORAL^	TO-HELP1*	TO-CLEAN5*	TO-KNOW-OR-KNOWLEDGE2B	SETUP1
l	$GEST^*	$ORAL^	TO-HELP1*	TO-CLEAN5*		SETUP1
m		durch mama	hat geholfen	putzen	wissen	bauen
Schleswig-Holstein \| dgskorpus_sh_05 \| 61+m What is everyone supposed to do then? Put things away and clean up.
r	TO-TIDY1*		I1*	TO-CLEAN5*	TO-TIDY1*	TO-CLEAN4*
l	TO-TIDY1*	$INDEX1		TO-CLEAN5*	TO-TIDY1*
m	aufräumen			sauber	aufräumen

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