MASTER1^

	
	1479

≙ MASTER1^ (11 tokens)
by transcript | by glosses | by right neighbours | by left neighbours
1181159 stu09 | 18-30m    I first took the bus downtown to the main station. I then went down to the platforms and took the train. That’s the way it went down.
r	$PROD	TO-CHANGE2B	TRAIN-STATION2*	MASTER1^	TRAIN-STATION2*	$INDEX1	TRAIN1B*
l
m		um	hauptbahnhof				zug
1209910 nue09 | 18-30m    I was the best lay-up, yes.
r			$PROD	MASTER1^	$GEST-NM-NOD-HEAD1^	$PROD	$GEST-OFF1^*
l
m			korbleger	[MG]
1181455 stu08 | 61+f    No, I mean Lidl.
r						MASTER1^
l				MASTER1^	$GEST-DECLINE1^*
m				aldi		aldi
1181455 stu08 | 61+f    No, I mean Lidl.
r				MASTER1^
l		MASTER1^	$GEST-DECLINE1^*
m		aldi		aldi
1687803-… lei07 | 46-60f    The teacher was hearing and didn't know any sign language at all.
r	TEACHER2*		TEACHER2*			$GEST-DECLINE1^*
l		MASTER1^*		MASTER1^	MASTER2D*		TO-SPEAK1A^*
m	…			lehrmeister			[MG]
1183203 stu15 | 61+f    Later on, I told the story to my younger sister-in-law.
r	TO-TELL1	SMALL3*	EQUAL1C^*	MASTER1^
l
m	erzähl	kleine	schwägerin
1210825 mue13 | 46-60m    Then it was the principal’s turn.
r	THEN1A*	BAT1B^	SCHOOL2H	MASTER1^
l
m			schuldirektor
1584617 lei12 | 61+f    My father has a hearing brother.
r		MY1	FATHER4A	MASTER1^	HEARING1A*	BROTHER1C
l
m		mein	vater	noch ein	hörend	bruder
1181455 stu08 | 61+f    I said they were from Baden-Baden, but Aldi sells them now, too.
r	THERE1		$INDEX4	MASTER1^*
l		$GEST-ATTENTION1^			THERE-IS3*	$INDEX1
m	…		aldi		gibt
1687803-… lei07 | 46-60f    The teacher was hearing and didn't know any sign language at all.
r			TEACHER2*		TEACHER2*		TEACHER2*
l		$INDEX1		MASTER1^*		MASTER1^*
m			l{ehr}
1687803-… lei07 | 46-60f    The teacher was hearing and didn't know any sign language at all.
r	TEACHER2*		TEACHER2*		TEACHER2*
l		MASTER1^*		MASTER1^*		MASTER1^	MASTER2D*
m	l{ehr}					lehrmeister
= CARETAKER1 (5 tokens)
	Mouth: hausmeister
	frontal 45° 90° from above
	Translational equivalent: caretaker
by transcript | by glosses | by right neighbours | by left neighbours
1418889 ber08 | 31-45f    Well, the janitor had to get new fuses and install them.
r				CARETAKER1	NEW1A*		NEW1A
l			$INDEX1*	$INDEX1*		TO-TURN1B*
m			hausm{eister}		n{eu}	[MG]	neu
1430396 koe16 | 46-60m    Then, the supervisor came and checked on us.
r	TO-BELIEVE2B*	TO-LOOK-AFTER-SB1A*	LIKE3B*	CARETAKER1	HOUSE1A*	TO-LOOK-AFTER-SB1A*	TO-LOOK-AT3*
l
m		a{ufpassen}	wie	hausm{eister}		aufpass{en}
1176566 hh01 | 61+m    Janitor for what?
r			APPROXIMATELY1^	CARETAKER1	WHAT2*	FOR1*	$GEST-OFF1^*
l
m			hausmeister			für
1250721 mvp06 | 61+m    I searched for a long time. Then, I at least got a position as a janitor as part of a job creation measure.
r	$ALPHA1:B-B	$GEST-OFF1^	AS3	CARETAKER1
l
m	a-b-m		als	hausmeister
1176566 hh01 | 61+m    He has lots of different tasks. He is, for example, janitor, second chairman/
r	TASK1A*	$LIST1:1of1d	WHAT1A*	CARETAKER1*	$LIST1:1of1d	$LIST1:2of2d	$NUM-ORDINAL1:2*
l
m	aufgabe		[MG]	hausmeister			zweiter
= MASTER1 (29 tokens)
	Mouth: meister
	frontal 45° 90° from above
	Translational equivalents: champion; master; master
by transcript | by glosses | by right neighbours | by left neighbours
1245820 fra09 | 31-45m    Let's look at a hairdressing apprentice and a hairdressing master, for example.
r	HAIRDRESSER1	APPRENTICE2	HAIRDRESSER1	MASTER1
l
m	friseur	[MG]	friseur	meister
1245820 fra09 | 31-45m    Giving the master and the apprentice ten euros each does not seem right.
r				MASTER1	APPRENTICE2	$NUM-ONE-TO-TEN1A:10	EURO1*
l
m				meister		zehn	euro
1430590 koe17 | 61+f    I got a job immediately; the foreman hired me straight away.
r	IMMEDIATELY2B*	PROFESSION6	IMMEDIATELY2B*	MASTER1	TO-ACCEPT1	I2
l
m	sofort		sofort	meister	angenommen
1430590 koe17 | 61+f    The foreman, the leadmen, they were all great.
r				MASTER1	AHEAD-OF6A	TO-WORK4*	AREA1D^
l
m				meister	vorarbeiter
1244978 fra03 | 31-45m    Right. And then the teacher went to get the janitor, because the switch didn't work.
r	TO-LET-KNOW1A*	$GEST^	HOUSE1A*	MASTER1
l
m			hausmeister
1427158-… koe01 | 18-30m    My older sister got her bachelor's degree in psychology and is continuing her studies with a master's degree.
r			NOW1	MASTER1	$INDEX2	MASTER1
l
m			jetzt	master	[MG]
1427158-… koe01 | 18-30m    My older sister got her bachelor's degree in psychology and is continuing her studies with a master's degree.
r	NOW1	MASTER1	$INDEX2	MASTER1
l
m	jetzt	master	[MG]
1427158-… koe01 | 18-30m    #Name2 told me that she passed her bachelor's degree and has two more years of study for her master's degree.
r	THEN1B	FOR1	$NUM-YEAR-AFTER-NOW1:2d	MASTER1	STILL4B	FURTHER1A
l
m		für	zwei jahre	master	noch	weiter
1427158-… koe01 | 18-30m    To be on the safe side, she has already sent in applications, no matter what comes of it. When she has her master's degree in two years, she can start as a psychologist.
r	SECURE2*	$NUM-YEAR-AFTER-NOW1:2d	I2	MASTER1	TO-PASS-OR-TO-PERSIST1	MEANING1*	TO-JOIN1^*
l
m	sicher	zwei jahre		master	bestanden	bedeutet
1427158-… koe01 | 18-30m    But because she didn't complete her undergraduate studies yet, he offered her a job as student assistant.
r		$INDEX1*	NOT-YET2*	MASTER1	TO-PASS-OR-TO-PERSIST1	NOT-YET2*	TO-THINK1B
l
m			noch	master	bestanden	noch nicht	[MG]
1292770 mst16 | 61+m    I had finished master school by the time I turned 28 years.
r	$NUM-TENS1:2d	OLD8B	THEN7*	MASTER1	SCHOOL2H	TO-WANT8*	$GEST-OFF1^
l
m	…	jahre alt	dann	meisterschule		will
1292770 mst16 | 61+m    Well, I really had to be hard working for five months when I was at the master school.
r		TO-WORK4	$INDEX1*	MASTER1	TO-THERE1^	$INDEX1	$NUM-ONE-TO-TEN1A:5
l
m		[MG]	bei	meisterschule			fünf
1292770 mst16 | 61+m    However, I was thrilled being at the master school for hearing people, because they properly taught me and made everything quite clear.
r		$INDEX1	HEARING1A	MASTER1	SCHOOL2H*	I2	ABSOLUTE1
l
m		da	hörende	meisterschule			[MG]
1248625-… goe06 | 31-45f    The Jägermeister company is located in Wolfenbüttel.
r	$INDEX1	WOLFENBÜTTEL1	HUNT1	MASTER1	$INDEX1	HIS-HER1*
l
m		wolfen{büttel}	jägermeister
1212402 fra06 | 31-45f    The master craftswoman who trained me was hard to lip-read from, though.
r	ONLY1	ON-PERSON1*	$INDEX1*	MASTER1	$INDEX1	WOMAN1A	$INDEX1*
l
m	nur			meister		frau
1212402 fra06 | 31-45f    The master craftswoman opened the door and asked me what was wrong but I didn't know either.
r			MY1*	MASTER1	OPEN-DOOR2	GOOD-MORNING1	$GEST-OFF1^*
l
m				meister	tür auf	guten morgen
1210825 mue13 | 46-60m    I told her that I desperately wanted to become a masseur and a “medizinischer Bademeister” [official German name of a profession that is in some ways similar to a hydrotherapist].
r	AND2A	EXPERIMENT1^*	TO-BATH1A*	MASTER1	TO-WANT7	AIM4	$INDEX1
l
m	und	medizinisch	bademeister		will
1212402 fra06 | 31-45f    The master craftswoman came up to me and asked, “Are you not able to finish it?”
r			$INDEX1*	MASTER1	$PROD	TO-LET-KNOW1A*	$GEST-OFF1^
l
m				meister
1212402 fra06 | 31-45f    The master craftswoman was surprised.
r				MASTER1	$GEST-NM^*
l
m				meister	[MG]
1212402 fra06 | 31-45f    My father didn't know what to do and waited until the master craftswoman and the man from the chamber of industry and commerce arrived.
r			$INDEX1*	MASTER1	TO-BEAT1^*	INDUSTRY4*	TO-BEAT1^*
l
m				meister	ka{mmer}	industrie	handelkammer
1428472 koe07 | 61+m    The bosses or foreman check on that.
r	TO-LOOK-AT3^*	$NUM-ONE-TO-TEN1A:1d*		MASTER1	MASTER1	TO-EXAMINE1	$INDEX1
l			$NUM-ONE-TO-TEN1A:2d
m	…	oder		meister	meister	prüf
1428472 koe07 | 61+m    The bosses or foreman check on that.
r	$NUM-ONE-TO-TEN1A:1d*		MASTER1	MASTER1	TO-EXAMINE1	$INDEX1
l		$NUM-ONE-TO-TEN1A:2d
m	oder		meister	meister	prüf
1250721 mvp06 | 61+m    Still, the welfare authority, the company union and the foreman got together to talk about what they could do about the problem, but they were just as helpless.
r	HIS-HER1*	TRADE-UNION3*		MASTER1	I2*	TALK1	$GEST-NM-SHAKE-HEAD1^
l			TO-COME1
m		gewerkschaft	komm	meister		[MG]
1430328 koe15 | 31-45m    There is one in Berlin: they have this special beer with woodruff.
r	BEER6*	WITH1A	$ALPHA1:W	MASTER1	$GEST^
l
m	bier	mit	waldmeister
1248090 goe04 | 31-45m    Then I suddenly became the club’s treasurer.
r	SUDDENLY1C*	BOARD-OF-DIRECTORS-OR-BOARD-MEMBER3*	MONEY-TREASURE1*	MASTER1	MAIN3^*
l
m	auf einm{al}		schatzmeist		aber
1246329 fra12 | 61+m    We didn't need a foreman.
r		$INDEX1*	$GEST-OFF1^*	MASTER1	TO-NEED1*
l
m		[MG]	[MG]	meister	brauch
1210825 mue13 | 46-60m    The foreman said that out of all his welders, I was the best. I knew all the different types of welding and was very talented.
r			TO-SAY1	MASTER1*	TO-SAY1	BEST1	ALL1A
l
m				meis{ter}		beste	von allen
1246329 fra12 | 61+m    I thought, 'Oh my, the janitor probably didn't hoist it right.'
r	I1*	TO-THINK1A*	HOUSE1A*	MASTER1*	WRONG1*	TO-MAKE1*	HE-SHE-IT1
l
m			hausmeister		falsch	gemacht
1248090 goe04 | 31-45m    As treasurer I only had to calculate stuff; that was easy.
r	$INDEX2	TO-WRITE1A*	MONEY-TREASURE1*	MASTER1*	FIGURE1*	$INDEX1*	PATTERN3A^*
l
m			schatzmeist		zahl
= MIDDLE-SCHOOL3 (2 tokens)
	Translational equivalent: middle school
by transcript | by glosses | by right neighbours | by left neighbours
1291572 mst10 | 46-60f    It wasn't so bad after all, later they went to Realschule [type of secondary school in Germany] and then to grammar school.
r	LATER9A*	BAD3A	$PROD	MIDDLE-SCHOOL3	$INDEX2*	GRAMMAR-SCHOOL1*	$PROD
l
m	später	nicht schlimm		realschule		gymnasium
1419797 ber12 | 31-45f    He went to the Realschule [type of secondary school in Germany], and back in the days, that was something special.
r		THROUGH2A	SCHOOL1A	MIDDLE-SCHOOL3*	PAST-OR-BACK-THEN1	VERY7^*	$GEST^
l
m		durch	schule	realschule		[MG]	[MG]
= MOST3 (7 tokens)
	Mouth: meist
	frontal 45° 90° from above
	Translational equivalents: most; mostly
by transcript | by glosses | by right neighbours | by left neighbours
1246329 fra12 | 61+m    You know that joke they used to tell about how to have a baby.
r	TO-KNOW-STH2A	PAST-OR-BACK-THEN1*	ALWAYS2	MOST3	ALWAYS4A*	JOKE1	TO-KNOW-STH2A^*
l
m	weißt	früher	meist		immer	witz	[MG]
1187218 nue06 | 31-45f    Usually you get a small espresso cup.
r			$INDEX1	MOST3	SMALL11	TO-PUT9^	CONTAINER4^*
l
m				meistens	[MG]	espressotasse
1184145 nue01 | 61+m    Most people that have been to Würzburg say that it is an episcopal city.
r		ALSO3A	MASS-OF-PEOPLE-ACTIVE1*	MOST3	TO-SAY1	BISHOP2	CITY2
l
m		auch		meist		bischofstadt
1245887 fra10 | 61+f    In the past, I usually went to the one in Mannheim.
r	I1	BACK-THEN1	TO-DRIVE1*	MOST3*	$INDEX1	TO-JOIN1^*
l
m	ich war	damals		meist	mannheim	verein
1187218 nue06 | 31-45f    Usually, there you meet other donors.
r			EQUAL1C^	MOST3*	$INDEX1	PULSE2^*	TO-TRANSFER1A^*
l
m			meistens	meistens		blutspender
1187218 nue06 | 31-45f    Usually there are sausages with buns, yes, sausages and bread rolls.
r				MOST3*	SAUSAGE1A	WITH1A*	BUN3*
l
m				meistens	würstele	mit	semmel
1414123 ber04 | 46-60m    I asked a couple of people if they were interested in joining a sport.
r			I1	MOST3*	I1	QUESTION1	I1
l
m				meist		frage
= STEGEN1 (1 token)
	Mouth: stegen
	frontal 45° 90° from above
	Translational equivalent: Stegen
1181602 stu10 | 18-30m    I went to kindergarten in Stegen and then, when I got older, I also went to school there.
r	I1	CHILD2*	GARDEN7	STEGEN1	SCHOOL1A	$INDEX1	DONE1B
l
m		kindergarten		stegen	schule