TO-COAT-STH2A^

	
	232

frontal

45°

90°

from above

L	TO-DRINK1^*	EXPENSIVE1*	$LIST1:2of2d	BUTTER2*	EXPENSIVE1*	$LIST1:3of3d	TO-BEAT1*
≙ TO-COAT-STH2A^ (2 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1413683 1413683 \| 46-60m There was a lot of Deaf Culture because of people like Puttrich and Jochen Muhs.
R			PAST1*	TO-COAT-STH2A^*	THROUGH2A	$NAME-JOCHEN-MUHS1	$ALPHA1:J_2
L			PAST1*	TO-COAT-STH2A^*		$NAME-JOCHEN-MUHS1
M				puttrich	durch	muhs	jochen muhs»
1245887 1245887 \| 61+f I prepared the breakfast and the coffee in the morning.
R		TOMORROW1B	TO-DRINK-FINE1^	TO-COAT-STH2A^*	I2	BUTTER2*	AREA1A*
L				TO-COAT-STH2A^*		BUTTER2*
M		morgens	früh	kaffee		[MG]	[MG]
= $NAME-JOCHEN-MUHS1 (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: Muhs, Jochen (person)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1204691 1204691 \| 61+f The first president was Jochen Muhs.
R			$NUM-ONE-TO-TEN1A:1	$NAME-JOCHEN-MUHS1	PAST-OR-BACK-THEN1*
L				$NAME-JOCHEN-MUHS1
M			erste	jochen muhs	[MG]
1413683 1413683 \| 46-60m There was a lot of Deaf Culture because of people like Puttrich and Jochen Muhs.
R	PAST1*	TO-COAT-STH2A^*	THROUGH2A	$NAME-JOCHEN-MUHS1	$ALPHA1:J_2	$INDEX1*	CULTURE1B*
L	PAST1*	TO-COAT-STH2A^*		$NAME-JOCHEN-MUHS1			CULTURE1B*
M		puttrich	durch	muhs	jochen muhs		kultur
= $NAME-WILFRIED-HÖMIG1 (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: Hömig, Wilfried (person)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1176624 1176624 \| 61+m Once led by Eberhard Fritz and Hömig.
R				$NAME-WILFRIED-HÖMIG1
L	$CUED-SPEECH:E1	CHEEK2^	BEARD-POINTED2^	$NAME-WILFRIED-HÖMIG1
M	eberhard fritz			hömig
1176624 1176624 \| 61+m Hömig, no it was Eberhard, took a marine rope and made a sling out of it.
R				$NAME-WILFRIED-HÖMIG1*	$INDEX1*
L				$NAME-WILFRIED-HÖMIG1*	$INDEX1*	DEAF-MUTE1	$INDEX1*
M				hö{mig}		eberhard
= TO-SPREAD-OR-TO-COAT1A (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: to spread or to coat
by transcript \| by glosses \| by right neighbours \| by left neighbours
1204191 1204191 \| 61+m If you were really hungry, you would get another piece, as well.
R	TO-WANT5*	NECK1^*	ONCE-AGAIN2A*	TO-SPREAD-OR-TO-COAT1A*
L		NECK1^*	ONCE-AGAIN2A*	TO-SPREAD-OR-TO-COAT1A*
M	will	[MG]	noch mal
= BREAD7 (2 tokens)
Mouth: brot
frontal 45° 90° from above
Translational equivalent: bread
by transcript \| by glosses \| by right neighbours \| by left neighbours
1430328 1430328 \| 31-45m In Siegen it is very typical to put a Schnitzel on top of the bread and cover it with a fried egg.
R	SIEGEN-CITY1*	AREA1D^*	TYPICAL1*	BREAD7*	ROUND12^	SCHNITZEL2*	ROUND12^
L				BREAD7*	ROUND12^	SCHNITZEL2*	ROUND12^
M	siegen		typ{isch}	brot		schnitzel
1430328 1430328 \| 31-45m In Bavaria it is typical to put a slice of ham on top of a slice of bread and cover it with a fried egg.
R	BAVARIA1*		ROUND12^	BREAD7*	ROUND12^	TO-COOK2C*	HAM1*
L		TYPICAL1*	ROUND12^	BREAD7*	ROUND12^	TO-COOK2C*
M	bayerisch	typisch		brot		kochschinken
= BUTTER2 (7 tokens)
Mouth: butter
frontal 45° 90° from above
Translational equivalent: butter
by transcript \| by glosses \| by right neighbours \| by left neighbours
1211515 1211515 \| 61+m They were cut it into slices and buttered.
R			TO-CUT9	BUTTER2*
L			TO-CUT9
M				butter
1249280-16043122-16070610 1249280-… \| 46-60f Then I take the bread, add butter, the tomato and some garlic.
R			BREAD5B*	BUTTER2*	TOMATO2A*	TO-PART-TO-CHOP1*	GARLIC5*
L			BREAD5B*	BUTTER2*		TO-PART-TO-CHOP1*
M			brot	butter	tomate		knoblauch
1249131-10284534-10424015 1249131-… \| 61+f And there was butter as well.
R			ALSO3A	BUTTER2*	ON1A^*
L				BUTTER2*	ON1A^*
M			auch	butter
1245887 1245887 \| 61+f I prepared the breakfast and the coffee in the morning.
R	TO-DRINK-FINE1^	TO-COAT-STH2A^*	I2	BUTTER2*	AREA1A*
L		TO-COAT-STH2A^*		BUTTER2*
M	früh	kaffee		[MG]	[MG]
1250646 1250646 \| 61+f It was just coffee, butter and whipped cream that were expensive.
R	TO-DRINK1^*	EXPENSIVE1*	$LIST1:2of2d	BUTTER2*	EXPENSIVE1*	$LIST1:3of3d	TO-BEAT1*
M	kaffee	teuer		butter	t{euer}	auch	schlagsahne»
1250646 1250646 \| 61+f Coffee, whipped cream, butter, was there something else?
R	COFFEE2A*	WHIPPED-CREAM1*	$LIST1:3of3d	BUTTER2*	$LIST1:4of4d*
L	COFFEE2A*	WHIPPED-CREAM1*	$LIST1:3of3d	BUTTER2*	$LIST1:4of4d*
M	ka{ffee}	schlagsahne		butter	noch was
1182062 1182062 \| 46-60f But what if you are cooking dinner and you realize that you lack some ingredients.
R	TO-COOK3A*	TO-FORGET1	TO-LACK1A*	BUTTER2*	$GEST^
L			TO-LIST1C*	BUTTER2*	TO-LIST1C
M	kochen	vergessen	fehlt fehlt	butter	[MG]
= COLOUR1A (70 tokens)
Mouth: farbe
frontal 45° 90° from above
Translational equivalents: to colour; colour; colour (part of word); coloured
by transcript \| by glosses \| by right neighbours \| by left neighbours
1178347 1178347 \| 31-45m Later they found white color particles on her car.
R				COLOUR1A*	WHITE1D	SELF1A*
L
M				farbe	weiß	selbst
1181011 1181011 \| 31-45f Colored people might not have the rights to the extent it is written in the constitution today.
R			MAYBE3*	COLOUR1A*	COLOUR1A	NOT-YET2*	LAW-OR-JUSTICE1*
L			MAYBE3*		COLOUR1A	NOT-YET2*	LAW-OR-JUSTICE1*
M				farbig		noch nicht
1181011 1181011 \| 18-30f It started with the racial segregation.
R			THROUGH2A*	COLOUR1A*	AND2A	WHITE1A
L					AND2A
M			durch	schwarz	und	weiß
1210825 1210825 \| 46-60m During one incident, the teacher told us to draw something in the colours of a tree, so, in green and brown.
R	MUST1A^*	I1*	$INDEX1	COLOUR1A*	$INDEX1	LIKE3A	BRANCH2B^*
L						LIKE3A	BRANCH2B^*
M				farbe	wie		baum
1181011 1181011 \| 31-45f He made it clear that black people are eligible to the same rights.
R	TO-SHOW1B	STOP1*	$GEST^	COLOUR1A*	$INDEX1	ALSO1A*	SUPER2*
L	TO-SHOW1B	STOP1*	$GEST^			ALSO1A*	SUPER2*
M	[MG]			schwarz		auch	[MG]
1584545 1584545 \| 18-30f The chocolate globes have various colors.
R				COLOUR1A*	$PROD
L				COLOUR1A*
M				farb
1289910 1289910 \| 18-30f The colours are incredible.
R				COLOUR1A*	SOURCE-TO-EMANATE1^*	VERY6
L				COLOUR1A*
M				farbe		[MG]
1291243 1291243 \| 31-45f Color settings, portraits, things like that.
R				COLOUR1A*	TO-CONVERT2*	$PROD
L				COLOUR1A*	TO-CONVERT2*
M				farbe	um	[MG]
1246329 1246329 \| 61+m You had to apply paint, press a sheet of paper on the stone and pull it off again.
R				COLOUR1A*	TO-GIVE-HOLD-ON-TO1A*	TO-SPREAD-OR-TO-COAT3*	TO-SERVE-CAKE1^*
L				COLOUR1A*	TO-GIVE-HOLD-ON-TO1A*	TO-SPREAD-OR-TO-COAT3*	TO-SERVE-CAKE1^*
M				farbe
1427725 1427725 \| 18-30f Everything is in one color and that's it.
R			$NUM-ONE-TO-TEN1B:1d	COLOUR1A*	CLOTHES1A*	DONE4
L				COLOUR1A*	CLOTHES1A*	DONE4
M			ein	farb		[MG]
1289910 1289910 \| 18-30f You can’t describe that colour, you have to see it for yourself.
R			CAN2A^*	COLOUR1A*	TO-EXPLAIN1*	TO-SEE1	MUST1
L			CAN2A^*	COLOUR1A*	TO-EXPLAIN1*
M			nur	farbe	{er}klären		muss
1247205 1247205 \| 31-45f The certificate is red, red and blue with a yellow writing on it.
R			$INDEX1*	COLOUR1A*	TETRAGON2^	RED1A*	BLUE5B
L				COLOUR1A*	TETRAGON2^
M			[MG]	farbe		rot	blau»
1210825 1210825 \| 46-60m But I can distinguish strong reds from greens or other flashy colours.
R			$INDEX1*	COLOUR1A*	LIKE3B*	STRONG1A*	RED1B*
L				COLOUR1A*	LIKE3B*	STRONG1A*	$NUM-ONE-TO-TEN1A:1d
M				farbe	wie	stark	rot
1430396 1430396 \| 46-60f … how the sunlight affects the plant and what cycle happens inside, how the color develops.
R	$PROD	COURSE-OF-TIME1*	$GEST-NM-NOD-HEAD1^	COLOUR1A*
L	$PROD	COURSE-OF-TIME1*	$GEST-NM-NOD-HEAD1^	COLOUR1A*
M	[MG]			farbe
1584855 1584855 \| 46-60m There, I got the money. It was really different from our money. The colours were much brighter.
R	COLOUR1A*	GLARY1	SOLID1A^*	COLOUR1A*	TO-HOLD-PAPER1A
L	COLOUR1A*	GLARY1	SOLID1A^*	COLOUR1A*	TO-HOLD-PAPER1A
M	farbe		[MG]	farbe
1289910 1289910 \| 18-30f My colleague spent six weeks there, the colours are indescribable.
R	$INDEX1	$GEST^	$MORPH-UN5*	COLOUR1A*	CAN1*	DESCRIPTION1B*	$GEST-OFF1^
L		$GEST^		COLOUR1A*		DESCRIPTION1B*	$GEST-OFF1^
M	sechs woche	[MG]		farbe	unbeschreiblich
1431690 1431690 \| 31-45m I experienced it like this. In the flooded areas were/ Well, a wall has two colors. The lower one shows where the flood was.
R	AN1A*		$NUM-ONE-TO-TEN1A:2*	COLOUR1A*	$INDEX1*	$INDEX1*	WATER1*
L	AN1A*	WALL-OR-SIDE1B*	$NUM-ONE-TO-TEN1A:2*	COLOUR1A*	$INDEX1*	$INDEX1*	WATER1*
M	ein	wand	zwei	farben			hochwasser»
1290121 1290121 \| 31-45m As far as I know the first color TVs were available in 1971 or '72.
R	$NUM-ONE-TO-TEN1A:2d	$NUM-TENS2A:7d*	FIRST-OF-ALL1C	COLOUR1A*	TELEVISION1B*	TO-SPREAD2
L		$NUM-TENS2A:7d*		COLOUR1A*	TELEVISION1B*	TO-SPREAD2
M	zweiundsiebzig		erste	farbfern{seher}		[MG]
1181011 1181011 \| 31-45f It is just a color of skin. What is the big deal? Hello?
R		ONLY2A*	SKIN-CHEEK1	COLOUR1A*	$GEST^
L				COLOUR1A*	$GEST^	HELLO1
M		nur	haut	farbe	[MG]	hallo
1289910 1289910 \| 18-30f The colour of the water is indescribable.
R		WATER1*	PLANE3A^*	COLOUR1A*	$PROD	$MORPH-UN5*	DESCRIPTION1B*
L			PLANE3A^*	COLOUR1A*	$PROD		DESCRIPTION1B*
M		wasser		farbe		unbeschreiblich
1290754 1290754 \| 46-60m I know there was a color company that wanted to take over the area.
R		TO-KNOW-STH2A*	$INDEX1	COLOUR1A*	FACTORY6*	OCCUPIED-OR-OWNED1B*
L				COLOUR1A*	FACTORY6*	OCCUPIED-OR-OWNED1B*
M		weiß		farbfabrik		[MG]
1292125 1292125 \| 46-60m Yes, black and white; we didn't have a color TV.
R		BLACK3*	WHITE1D	COLOUR1A*	NOT-YET2*	PRESENT-OR-HERE1*
L				COLOUR1A*	NOT-YET2*	PRESENT-OR-HERE1*
M		schwarz	weiß	farbe	noch nicht	da
1292125 1292125 \| 46-60m In 1969, there were color TVs already.
R		$NUM-ONE-TO-TEN1A:9*	$NUM-TENS1:6d*	COLOUR1A*	PRESENT-OR-HERE1
L		$NUM-ONE-TO-TEN1A:9*	$NUM-TENS1:6d*	COLOUR1A*
M		neunzehnsechzig		farbe	da
1584411 1584411 \| 31-45f The colors are beautiful, really beautiful.
R		COLOUR1A	BEAUTIFUL1A	COLOUR1A*	INFLUENCE1^*
L		COLOUR1A		COLOUR1A*	INFLUENCE1^*
M		farbe	schön	farbe
1177002 1177002 \| 31-45f So, it was a donation, but it wasn’t about skin colour.
R	$INDEX1	SITUATION1*	BUT1*	COLOUR1A*	SKIN1A*	COLOUR1A*	NOT3B*
L		SITUATION1*		COLOUR1A*	SKIN1A*	COLOUR1A*
M	[MG]	situation	aber	farbe	hautfarbe		nicht
1290121 1290121 \| 31-45m You can watch it in color now and not in black-and-white like before.
R	TO-SHOW1A*	RIGHT-OR-CORRECT1A*	BETTER1	COLOUR1A*	PRESENT-OR-HERE1*	BEFORE-TEMPORAL1*	BLACK3*
L	TO-SHOW1A*	RIGHT-OR-CORRECT1A*		COLOUR1A*	PRESENT-OR-HERE1*	BEFORE-TEMPORAL1*
M		richt{ig}	besser	fa{rbe}	da	vorher	schwarz-weiß»
1290121 1290121 \| 31-45m Everything used to be more colorful, and more extreme. Today people are friendlier, and do everything in moderation.
R	$GEST-TO-PONDER1^*	HOW-QUESTION2*	EXPRESSION1A	COLOUR1A*	STRONG1A*	INTENSIVE3^*	TO-EXAGGERATE1*
L		HOW-QUESTION2*	EXPRESSION1A	COLOUR1A*	STRONG1A*	INTENSIVE3^*	TO-EXAGGERATE1*
M	[MG]	[MG]	[MG]	farb	stark	[MG]	übertri{eben}
1290121 1290121 \| 31-45m Today, the audience blazes from the colors they have painted their faces with, and people wear big, crazy hats.
R	TODAY3	GREAT1A*	$PROD	COLOUR1A*	$PROD	HOORAY2	$PROD
L	TODAY3	GREAT1A*		COLOUR1A*		HOORAY2
M	heute	[MG]	[MG]	farbe		[MG]
1210825 1210825 \| 46-60m But unfortunately I am colour-blind.
R	UNFORTUNATELY1A*	AN1A	I1	COLOUR1A*	BLIND1B*	I1*
L	UNFORTUNATELY1A*			COLOUR1A*	BLIND1B*	I1*
M	leider	ein	farb{en}blind
1210825 1210825 \| 46-60m At the window, he showed me the tree outside, which was black. I had used dark brown in my painting.
R	TO-SPOT2^*	PANE-GLASS2*	I1*	COLOUR1A*	$INDEX1*	BLACK2*	BUT1*
L		PANE-GLASS2*		COLOUR1A*	$INDEX1*	TO-SHOW-PAPER1^	BUT1*
M	scheibe			farbe		schwarz	{a}ber
1210825 1210825 \| 46-60m Although I was in pain, I still insisted that I was right.
R	$PROD	I1*	RIGHT-OR-AGREED1A*	COLOUR1A*	$INDEX1	TO-SAY1	I2*
L				COLOUR1A*
M	[LM:au]	ich	farb
1249741 1249741 \| 18-30m Nature starts to look colorful again.
R	MUCH1A*	MORE1*	WHAT-DOES-IT-LOOK-LIKE1*	COLOUR1A*	PRESENT-OR-HERE1*	$GEST-OFF1^	$GEST-OFF1^
L	MUCH1A*	MORE1*	WHAT-DOES-IT-LOOK-LIKE1*	COLOUR1A*	PRESENT-OR-HERE1*	$GEST-OFF1^	$GEST-OFF1^
M	viel	mehr	aussehen	farbe	da
1184756 1184756 \| 18-30f It’s now held in turquoise as a symbol for the Deaf.
R	QUOTATION-MARKS1*	WITH1A	$ALPHA1:T-U-#-#-I-S	COLOUR1A*	QUOTATION-MARKS1*	$INDEX1	NEW1A
L				COLOUR1A*			NEW1A
M		mit	türkis	farbe			neu
1212416 1212416 \| 31-45f It was a tiny bar with nice colors and mostly hearing people went there.
R	VERY3*	SMALL11	BEAUTIFUL1A	COLOUR1A*	ONLY2A	HEARING1B	MASS-OF-PEOPLE-ACTIVE1^*
L		SMALL11		COLOUR1A*			MASS-OF-PEOPLE-ACTIVE1^*
M	sehr	klein	schön	farbe	nur	hörend
1246100 1246100 \| 18-30f True, the color vanishes again and again and then reappears somewhere else.
R	VANISHED1B*	LIKE3B	$INDEX1	COLOUR1A*	$INDEX1	TURQUOISE2A	$INDEX1*
L	VANISHED1B*	LIKE3B		COLOUR1A*			$INDEX1*
M	[MG]	wie		farbe		türkis	[MG]
1246100 1246100 \| 18-30m Because many different colors have different meanings.
R	$GEST^	DISTINCT1*	$GEST^	COLOUR1A*	PRESENT-OR-HERE1	MEANING1*
L	$GEST^	DISTINCT1*	$GEST^	COLOUR1A*
M		verschiedene		farben	da	bedeutungen
1246100 1246100 \| 18-30m Then the idea came up to assign a color to Deaf people as well.
R	DEAF1A*	MEANING1*	HIS-HER1*	COLOUR1A*	MEANING1*	I1	$GEST-NO-IDEA1^*
L				COLOUR1A*			$GEST-NO-IDEA1^*
M	[MG]			farbe		[MG]	[MG]
1177702 1177702 \| 46-60m One of the neighbors approached me to congratulate me on the great color of my kitchen.
R	NEIGHBOUR2B	$INDEX1*	TO-LOOK-AT2*	COLOUR1A*	ON-PERSON1*	CONGRATULATION2*	$INDEX1
L	NEIGHBOUR2B			COLOUR1A*		CONGRATULATION2*
M	nachbar		[MG]	farbe	auf	glückwunsch
1289793 1289793 \| 18-30f The side streets are being lit up in different colors, especially at night.
R	NIGHT2	PARTICULARLY1A	NIGHT2	COLOUR1A*	$PROD
L	NIGHT2		NIGHT2	COLOUR1A*
M	nachts	besond{ers}	a{bends}	fa{r}be
1290121 1290121 \| 31-45m It was the beginning of the spread of color TVs.
R	SOMETIMES1*	TO-CHANGE1A	MORE1	COLOUR1A*	TO-RISE1^*	TO-SHOW1A*	TELEVISION1B*
L	SOMETIMES1*	TO-CHANGE1A		COLOUR1A*	TO-RISE1^*	TO-SHOW1A*	TELEVISION1B*
M	ma{nch}mal	[MG]	[MG]	far{be}	erstes mal	zeig	fernseher»
1290126 1290126 \| 31-45m Very crude, no colour or nice designs.
R	EASY1	LIKE3B	NONE1*	COLOUR1A*	$PROD	BEAUTIFUL3*	NOT4
L	EASY1	LIKE3B	NONE1*	COLOUR1A*
M	[MG]	[MG]	kei{n}	farb	[MG]	schön	nicht
1290126 1290126 \| 31-45m Over there, it had a very simple design, completely grey.
R	EASY1	LIKE3A	GREY6B	COLOUR1A*	$PROD	$GEST-OFF1^	EASY1
L	EASY1	LIKE3A		COLOUR1A*		$GEST-OFF1^	EASY1
M	[MG]	wie	grau	far{be}			[MG]
1177002 1177002 \| 31-45f So, it was a donation, but it wasn’t about skin colour.
R	BUT1*	COLOUR1A*	SKIN1A*	COLOUR1A*	NOT3B*	$GEST-OFF1^*
L		COLOUR1A*	SKIN1A*	COLOUR1A*		$GEST-OFF1^*
M	aber	farbe	hautfarbe		nicht
1184756 1184756 \| 31-45m You know, the inside is held in those typical African colors.
R	TYPICAL1*	$GEST-TO-PONDER1^	AFRICA2*	COLOUR1A*	YOU1*
L	TYPICAL1*			COLOUR1A*
M	typisch		afrika	farbe
1246100 1246100 \| 18-30m Through a specific color, one could bring attention to its associated culture and further it at the same time.
R	TO-WISH1B*	TO-SHOW1A*	PRESENT-OR-HERE1*	COLOUR1A*	PRESENT-OR-HERE1*
L		TO-SHOW1A*	PRESENT-OR-HERE1*	COLOUR1A*	PRESENT-OR-HERE1*
M	wünsch		da	farbe	da
1584855 1584855 \| 46-60m There, I got the money. It was really different from our money. The colours were much brighter.
R	NOTE1A	TO-HOLD-ON4B^*	DIFFERENT1*	COLOUR1A*	GLARY1	SOLID1A^*	COLOUR1A*
L	NOTE1A	TO-HOLD-ON4B^*		COLOUR1A*	GLARY1	SOLID1A^*	COLOUR1A*
M	geld		[MG]	farbe		[MG]	farbe»
1210825 1210825 \| 46-60m Although I was in pain, I still insisted that I was right.
R	$INDEX1	TO-SAY1	I2*	COLOUR1A*
L				COLOUR1A*
M	farb			farb
1584411 1584411 \| 31-45f The colors are beautiful, really beautiful.
R				COLOUR1A	BEAUTIFUL1A	COLOUR1A*	INFLUENCE1^*
L				COLOUR1A		COLOUR1A*	INFLUENCE1^*
M				farbe	schön	farbe
1433543 1433543 \| 18-30m They’re brown and go down to approximately the middle of the shin.
R				COLOUR1A	BROWN4*	$PROD	$PROD
L				COLOUR1A			$PROD
M				farbe	braun		immer kurz
1180556 1180556 \| 46-60f What do the colours mean?
R			YOU1^*	COLOUR1A	WHAT-DOES-THAT-MEAN1	YOU1^*
L				COLOUR1A
M				farbe
1177860 1177860 \| 61+m They even make brown coloured synthetic window frames/
R			BUT1*	COLOUR1A	THERE-IS3*	BROWN1*	SYNTHETIC1B
L				COLOUR1A	THERE-IS3*		SYNTHETIC1B
M			aber	farbe	gibt	braun	kunststoff»
1249741 1249741 \| 18-30m In this game you shoot one another with color balls.
R			ROUND6A^*	COLOUR1A	STAIN2A^*
L				COLOUR1A
M				farbe	[MG]
1180339-16161232-16363818 1180339-… \| 31-45m Last year it dealt with the manufacturing of chocolate, and this year the topic is phantasy, color, and shape.
R	NOW1	SUBJECT1	FANTASY2*	COLOUR1A	SHAPE1A
L		SUBJECT1	FANTASY2*	COLOUR1A	SHAPE1A
M	jetzt	thema	fantasie	farbe	form
1180539 1180539 \| 46-60f We don’t have black signs here in Germany; it must be from another country.
R		GERMAN1	HERE1	COLOUR1A	NO1A*	AREA1A^*	SOMEWHERE1*
L				COLOUR1A
M		deutschland		farbe		[MG]	{irgend}wo
1181011 1181011 \| 31-45f Colored people might not have the rights to the extent it is written in the constitution today.
R		MAYBE3*	COLOUR1A*	COLOUR1A	NOT-YET2*	LAW-OR-JUSTICE1*	FULL2A
L		MAYBE3*		COLOUR1A	NOT-YET2*	LAW-OR-JUSTICE1*	FULL2A
M			farbig		noch nicht
1177002 1177002 \| 31-45f You should also take skin colour into account!
R		ALSO1A	SKIN1A	COLOUR1A	TO-WATCH-OUT3*
L			SKIN1A	COLOUR1A
M		auch	hautfarbe
1584545 1584545 \| 18-30f The atmosphere is great, and the warm colors of the lights are beautiful.
R		INFLUENCE1^*	WARM2C	COLOUR1A	INFLUENCE1^*	$GEST-OFF1^
L		INFLUENCE1^*		COLOUR1A	INFLUENCE1^*	$GEST-OFF1^
M			warme	farbe
1290126 1290126 \| 31-45m The lawnmower got delivered to Germany; its design was altered so it looked nicer and got sold more easily.
R		TRANSPORT2B*	$INDEX1	COLOUR1A	IN-ADDITION1*	BEAUTIFUL3	WHAT-DOES-IT-LOOK-LIKE1*
L		TRANSPORT2B*		COLOUR1A	IN-ADDITION1*
M				far{be}	[MG]	schö{n}	aus{sehen}
1180556 1180556 \| 46-60f But back to the topic: Depending on the colour of your badge you are only allowed to drive in certain areas.
R	$GEST-I-DONT-KNOW1^	HEADING1^	$INDEX1	COLOUR1A	ALLOWED1	$INDEX1	TO-DRIVE-A-CAR1*
L	$GEST-I-DONT-KNOW1^	HEADING1^		COLOUR1A			TO-DRIVE-A-CAR1*
M	[MG]			farbe	darf		fahren»
1431896 1431896 \| 46-60m The houses were renovated and look very colorful now.
R	NEW3	TO-BUILD1*	TO-CHANGE2A*	COLOUR1A
L		TO-BUILD1*	TO-CHANGE2A*	COLOUR1A
M	neu	bau	um	farbe
1290126 1290126 \| 31-45m If the lawnmower was delivered to Germany, it was not like this, but beautifully coloured.
R	TO-DELIVER1B*	HERE1	GERMAN1*	COLOUR1A	IN-ADDITION1*	PRETTY1A	COLOUR1A
L	TO-DELIVER1B*			COLOUR1A	IN-ADDITION1*		COLOUR1A
M	[MG]		deutsch	far{be}	[MG]	hübsch	far{be}
1180556 1180556 \| 46-60f Do you know what the different colours of the different badges for the cars mean?
R	TO-KNOW-STH2B	CAR1	STAIN1B^*	COLOUR1A	WHAT-DOES-THAT-MEAN1	YOU1^*
L		CAR1		COLOUR1A
M	weißt	auto	[MG]	farbe	was
1290126 1290126 \| 31-45m If the lawnmower was delivered to Germany, it was not like this, but beautifully coloured.
R	COLOUR1A	IN-ADDITION1*	PRETTY1A	COLOUR1A
L	COLOUR1A	IN-ADDITION1*		COLOUR1A
M	far{be}	[MG]	hübsch	far{be}
1177860 1177860 \| 61+m They even make brown coloured synthetic window frames/
R	SYNTHETIC1B	WINDOW2B	BROWN1	COLOUR1A
L	SYNTHETIC1B	WINDOW2B		COLOUR1A
M	kunststoff		braun	farbe
1205951 1205951 \| 31-45f It’s important that I coordinate the color with my outfit.
R			TO-MATCH1	COLOUR1A	CLOTHES5B
L			TO-MATCH1	COLOUR1A	CLOTHES5B	TO-GROPE-AROUND1*
M			passt	farbe
1181011 1181011 \| 31-45f I am especially impressed with JFK because he was very tolerant towards black and colored people. He stepped up for them and worked on including them into society, and he cared about their interests.
R	READY2A*			COLOUR1A		TOGETHER1A*	HOW-QUESTION2
L	READY2A*	WITH1A	COLOUR1A*	COLOUR1A	COLOUR1A*	TOGETHER1A*	HOW-QUESTION2
M	bereit	mit	schwarz	farbe			wie
1181011 1181011 \| 31-45f I am especially impressed with JFK because he was very tolerant towards black and colored people. He stepped up for them and worked on including them into society, and he cared about their interests.
R			COLOUR1A		TOGETHER1A*	HOW-QUESTION2
L	WITH1A	COLOUR1A*	COLOUR1A	COLOUR1A*	TOGETHER1A*	HOW-QUESTION2	HIS-HER1
M	mit	schwarz	farbe			wie
1181011 1181011 \| 31-45f Since there was a strict segregation between black and white people this is the most important chapter in all of history.
R	CLEAR1A*	TIME1					TO-SEPARATE1B*
L	CLEAR1A*	TIME1	BECAUSE1*	COLOUR1A*	WHITE1A	PAST-OR-BACK-THEN2*	TO-SEPARATE1B*
M	klar	zeit	weil	schwarz	weiß	früher	[MG]
1181011 1181011 \| 31-45f I am especially impressed with JFK because he was very tolerant towards black and colored people. He stepped up for them and worked on including them into society, and he cared about their interests.
R	$INDEX1	READY2A*			COLOUR1A		TOGETHER1A*
L		READY2A*	WITH1A	COLOUR1A*	COLOUR1A	COLOUR1A*	TOGETHER1A*
M		bereit	mit	schwarz	farbe
1205951 1205951 \| 31-45f Next is eyeshadow, eyeliner and mascara.
R			EYELID1*	COLOUR1A*	THEN1A*	MASCARA1*	$PROD
L		THEN1A	EYELID1*	COLOUR1A*		MASCARA1*	$PROD
M		dann		farbe	dann
= LAIM1 (1 token)
Mouth: laim
frontal 45° 90° from above
Translational equivalent: Laim (district of Munich)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1205821 1205821 \| 31-45f When I went to the school for the deaf in Laim, we always sent up balloons with name tags at the summer festival.
R	$INDEX1	DEAF1A	SCHOOL1A	LAIM1	$INDEX1*	CELEBRATION1D*	TYPICAL1*
L			SCHOOL1A	LAIM1		CELEBRATION1D*	TYPICAL1*
M		gehörlos	schule	laim			typ
= GLUE1 (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalents: liquid glue; to glue
by transcript \| by glosses \| by right neighbours \| by left neighbours
1250972 1250972 \| 31-45f I have a house.
R				GLUE1	APARTMENT5	HOUSE1B	PRESENT-OR-HERE1*
L			I2	GLUE1	APARTMENT5	HOUSE1B	PRESENT-OR-HERE1*
M				leim	[MG]	haus	da»
= JAM1 (12 tokens)
Mouth: marmelade
frontal 45° 90° from above
Translational equivalent: jam
by transcript \| by glosses \| by right neighbours \| by left neighbours
1249131-10284534-10424015 1249131-… \| 61+f We had jam.
R				JAM1*
L				JAM1*
M				marmelade
1211515 1211515 \| 61+f They served braided yeast buns, right, the braided buns.
R			$PROD	JAM1*	$PROD	PLAIT1*	$PROD
L			$PROD	JAM1*		PLAIT1*
M			[MG]		zopf	zopf
1211515 1211515 \| 61+m We always got jam in the morning; it was made from strawberries.
R		EARLY5	MORE1	JAM1*	GOOD1*	MORE1	JAM1
L		EARLY5		JAM1*			JAM1
M		früh	mehr	marmelade		mehr	marmelade
1211515 1211515 \| 61+f They served bread rolls/ jam/
R		TO-EAT-OR-FOOD2^*	$PROD	JAM1*
L				JAM1*
M		morg{ens}		marmelade
1249131-10284534-10424015 1249131-… \| 46-60f Soup, jam, the food was really simple as well.
R	SOUP1	$LIST1:2of2d	AS-ALWAYS1*	JAM1*	$GEST-OFF1^*	$LIST1:3of3d	EASY1
L	$NUM-ONE-TO-TEN1A:1d	$LIST1:2of2d	AS-ALWAYS1*	JAM1*	$NUM-ONE-TO-TEN1A:3d	$LIST1:3of3d	EASY1
M	suppe		[MG]	marmelade			einfach
1249131-10284534-10424015 1249131-… \| 61+f My classmate took jam sandwiches with her to school, and we often traded our sandwiches.
R	MY1	CLASS1*	$INDEX1	JAM1*	TO-BRING1A*	TO-EXCHANGE1
L		CLASS1*		JAM1*	TO-BRING1A*	TO-EXCHANGE1
M	mein	klasse		marmelade	bring	tausche
1418836-15524810-15550340 1418836-… \| 31-45m The topic is how to cook jam.
R			SUBJECT1*	JAM1	HOW-QUESTION2
L			SUBJECT1*	JAM1	HOW-QUESTION2
M			thema	marmelad	wie
1204191 1204191 \| 61+m No jam?
R			NOTHING1A^*	JAM1	BUTTER1A*
L				JAM1	BUTTER1A*
M			kein	marmelade
1181240-15572825-16003603 1181240-… \| 31-45m Usually there’s toast with jam, butter or Nutella.
R		MOST1A	TOAST1B*	JAM1	BUTTER1A	$GEST-OFF1^	NUTELLA1
L			TOAST1B*	JAM1	BUTTER1A	$GEST-OFF1^	NUTELLA1
M		meist	toast	marmelad	butter		nutella
1211515 1211515 \| 61+m We always got jam in the morning; it was made from strawberries.
R	JAM1*	GOOD1*	MORE1	JAM1	MUCH4*	$PROD
L	JAM1*			JAM1
M	marmelade		mehr	marmelade	viel	erdbeeren
1204191 1204191 \| 61+m They added jam and drinks only as recently as two years after my graduation.
R	TO-DISMISS1A*	$NUM-YEAR-AFTER-NOW1:2d	$GEST-NM-NOD-HEAD1^	JAM1	TO-DRINK1	$GEST-OFF1^
L	TO-DISMISS1A*		$GEST-NM-NOD-HEAD1^	JAM1		$GEST-OFF1^
M	entlassen	zwei jahre später	und dann	marmelade
1182517 1182517 \| 31-45m In time for the next break we had to be back in the dining room because jam sandwiches were served.
R	BACK1A*	BECAUSE-OF1*	TO-EAT-OR-FOOD1	JAM1	TETRAGON2^*
L	BACK1A*	BECAUSE-OF1*		JAM1	TETRAGON2^*
M	zurück	wegen	essen	marmeladenbrot
= NUTELLA1 (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: Nutella
by transcript \| by glosses \| by right neighbours \| by left neighbours
1181240-15572825-16003603 1181240-… \| 31-45m Usually there’s toast with jam, butter or Nutella.
R	JAM1	BUTTER1A	$GEST-OFF1^	NUTELLA1	$GEST-OFF1^
L	JAM1	BUTTER1A	$GEST-OFF1^	NUTELLA1	$GEST-OFF1^
M	marmelad	butter		nutella
= TO-COAT-STH2 (4 tokens)
Mouth: schmieren
frontal 45° 90° from above
Translational equivalent: to coat
by transcript \| by glosses \| by right neighbours \| by left neighbours
1211515 1211515 \| 61+f They served braided yeast buns, right, the braided buns.
R	$PROD	PLAIT1*	$PROD	TO-COAT-STH2*	$PROD
L		PLAIT1*		TO-COAT-STH2*
M	zopf	zopf			zopf
1584617 1584617 \| 61+f At home, I was able to get up in the morning and make my own dinner.
R	TO-GET-UP1*	SELF1A*	TO-STAND1*	TO-COAT-STH2	EVENING1*	BREAD22
L	TO-GET-UP1*		TO-STAND1*	TO-COAT-STH2
M	aufstehen	selbstständig			abendbrot
1211515 1211515 \| 61+m And, of course, a thick layer of butter, too.
R	BUTTER1A*	THICK9*	LAYER1*	TO-COAT-STH2
L	BUTTER1A*			TO-COAT-STH2
M	butter	[MG]	[MG]
1181240-15572825-16003603 1181240-… \| 31-45m Also, I prepare the sandwiches they eat during break.
R	$LIST1:3of3w	$INDEX1	BREAKFAST1	TO-COAT-STH2
L	$LIST1:3of3w			TO-COAT-STH2
M			frühstück

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Types ID	Gloss	HamNoSys	Mouth
13058	TO-COAT-STH2A^		∅
98101	$NAME-JOCHEN-MUHS1		∅
64410	$NAME-WILFRIED-HÖMIG1		∅
47794	TO-SPREAD-OR-TO-COAT1A		∅
2343	BREAD7		brot
3752	BUTTER2		butter
2434	COLOUR1A		farbe
91498	LAIM1		laim
68580	GLUE1		∅
3751	JAM1		marmelade
87784	NUTELLA1		∅
6516	TO-COAT-STH2		schmieren