ROUGH1^

	
	220

frontal

45°

90°

from above

≙ ROUGH1^ (4 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1176407 1176407 \| 18-30f On that specific day - September 11th, 2001 - at about 3 p.m., I was at home with my mother.
R	SUDDENLY4*	I1	CLOCK1	ROUGH1^	APPROXIMATELY1	$NUM-CLOCK1A:3d	SUDDENLY4*
L	SUDDENLY4*		CLOCK1				SUDDENLY4*
M			uhr	ungefähr		drei
1583322-12534537-13002913 1583322-… \| 61+m Mr #Name1 was insolent.
R	TEACHER2*	$INDEX1	IS1*	ROUGH1^
L
M	lehrer	#name1	ist	frech
1176340 1176340 \| 18-30f I don't know. I can't pick anything. There is nothing that is really bad.
R	CAN1*	TO-FIND1C^*	NOT3A	ROUGH1^	BAD3B*	NOT3A	I2
L	CAN1*	TO-FIND1C^*			BAD3B*
M	kann n{icht}		nicht	doll	schlimm	nicht
1584198 1584198 \| 31-45m I protested against it and said that it is exactly the same among hearing people and that one should not just have deaf people pegged as bad workers and say ‘never again’.
R	$GEST-OFF1^	$INDEX2	ONLY2A*	ROUGH1^	STAMP1^	$INDEX1*	DEAF1A
L	$GEST-OFF1^				STAMP1^	$INDEX1*
M	selbe	[MG]	nur	[MG]			gehörlos
= HARSH1 (3 tokens)
Mouth: brutal
frontal 45° 90° from above
Translational equivalent: harsh
by transcript \| by glosses \| by right neighbours \| by left neighbours
1176407 1176407 \| 18-30f That's brutal.
R				HARSH1
L
M				brutal
1291892 1291892 \| 31-45m It was really brutal to see it, really horrible.
R	$ORAL^	TO-SEE1	VERY6*	HARSH1	$GEST^	I2	ATROCIOUS5
L	$ORAL^				$GEST^
M	aber		[MG]	brutal			grausam
1427368 1427368 \| 46-60m They reminded her that the church was bombed and destroyed by England in the Second World War.
R	ENGLAND2*	BOMB1	TO-SEE1	HARSH1	$INDEX2*
L		BOMB1
M		[MG]	sieht so	brutal
= EXTREME1 (12 tokens)
Mouth: extrem
frontal 45° 90° from above
Translational equivalent: extreme
by transcript \| by glosses \| by right neighbours \| by left neighbours
1433410 1433410 \| 18-30m In her opinion it must have been very hard for me.
R				EXTREME1*	FOR1*
L					FOR1*
M				extrem	für
1431222 1431222 \| 31-45m Or those presentations including movies and photos, talks about well-known persons from the past or deaf travelers, who have been on extremely adventurous tours.
R	DEAF1A	EXPERIENCE1A		EXTREME1*	$GEST-OFF1^	$INDEX1	SLIDE1*
L		EXPERIENCE1A	JOURNEY1B*		$GEST-OFF1^
M		erleben	[MG]	extrem
1177278 1177278 \| 46-60m It was an extremely bad thing, though.
R	A-WHOLE-LOT2*	I1	$INDEX1	EXTREME1*	VERY6
L
M	[MG]		[MG]	extrem	[MG]
2025500 2025500 \| 46-60m Yes, that’s really extreme.
R				EXTREME1	$GEST-OFF1^
L					$GEST-OFF1^
M				extr{em}	ja
2025500 2025500 \| 31-45f That’s extreme.
R				EXTREME1
L
M				extrem
1292458 1292458 \| 18-30m It’s extreme.
R				EXTREME1	TO-BELONG1
L
M				extrem
1292458 1292458 \| 18-30m That’s extreme.
R				EXTREME1	TO-BELONG1*
L
M				extrem
1585286 1585286 \| 18-30f It was pretty extreme.
R		I1	VERY7	EXTREME1
L
M			[MG]	extrem
1292458 1292458 \| 18-30m But it’s not that extreme in Germany, I think.
R	MAIN1A^*	GERMAN1	NOT3A*	EXTREME1		TO-BELIEVE2A*	I1
L
M	aber	deutschland	nicht	extrem	glaube
1292458 1292458 \| 18-30m It is in other countries, it’s more extreme there.
R	DIFFERENT1	COUNTRY3A*	YES1A	EXTREME1	$INDEX1*
L	DIFFERENT1
M	anders	länder	ja	extrem
1177278 1177278 \| 46-60m It was huge.
R	$INDEX1	TRUE2	$INDEX1	EXTREME1	$INDEX1	TRUE2
L
M		wahr		extrem		wahr
1247205 1247205 \| 46-60f Some people behave utterly obnoxious and really radical.
R	POSSIBLE1*	BEHAVIOUR2	LIKE3A*	EXTREME1	OR1*	REVENGE2	$INDEX1
L	POSSIBLE1*	BEHAVIOUR2	LIKE3A*
M	unmö{glich}	verhalten	wie	extrem	oder	rach	[MG]
= FORGERY1 (7 tokens)
Mouth: fälschung
frontal 45° 90° from above
Translational equivalents: forgery; falseness; wrong
by transcript \| by glosses \| by right neighbours \| by left neighbours
1428038 1428038 \| 46-60m The pictures are blurry, and I feel like they are fake.
R	I2*	TO-SEE1	$GEST-OFF1^	FORGERY1	$GEST-OFF1^
L			$GEST-OFF1^		$GEST-OFF1^
M				falsch
1204239 1204239 \| 61+m She always says, “All deaf people are fake and bad.” But by saying so she’s fake and bad, too.
R	MUM1A	IS1	SELF1A*	FORGERY1
L
M	mama	ist	selbst	falsch
1428038 1428038 \| 46-60m The pictures' perspective clearly shows that it is fake because it is filmed from above.
R	ARCH3A^*	$PROD		FORGERY1
L	ARCH3A^*		$INDEX1
M	[MG]			fälschung
1428038 1428038 \| 46-60m The way I see it, it clearly is fake.
R	I2*	TO-LOOK-AT1	$GEST-DECLINE1^	FORGERY1
L			$GEST-DECLINE1^
M				fälschung
1428038 1428038 \| 46-60m By now, there are many people thinking it was fake.
R	TO-BELIEVE2A*	NATURALLY1A^	$INDEX1	FORGERY1	$GEST-DECLINE1^
L					$GEST-DECLINE1^
M	[MG]	[MG]		fälschung
1204239 1204239 \| 61+m She always says, “All deaf people are fake and bad.” But by saying so she’s fake and bad, too.
R	DEAF1A	WRONG1	DEAF1A	FORGERY1	MUM1A	IS1	SELF1A*
L
M	gehörlos	falsch	alle gehörlosen	falsch	mama	ist	selbst
1428038 1428038 \| 46-60f On the one hand, that you say it's fake.
R					$INDEX1*
L				FORGERY1	$INDEX1*
M				fälschung
= VIOLENCE2 (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: violence
by transcript \| by glosses \| by right neighbours \| by left neighbours
1291243 1291243 \| 31-45f There is an exhibition, the apartment of a victim of violence, that you can look at.
R	TO-OBSERVE1*	AREA1C*	$GEST-TO-PONDER1^	VIOLENCE2	AFFECTED2^	AREA1A*	APARTMENT3
L	TO-OBSERVE1*					AREA1A*	APARTMENT3
M				gewaltopfer			wohnung»
1291243 1291243 \| 31-45f There are different exhibits about the victims of domestic violence.
R	IT-HAPPENS3	AREA1A*	HOUSE1B	VIOLENCE2	TO-OWN1*	$INDEX1*
L	IT-HAPPENS3		HOUSE1B
M	passiert		haus	gewalt	[MG]
= ATROCIOUS4 (3 tokens)
Mouth: grausam
frontal 45° 90° from above
Translational equivalents: atrocity; cruel
by transcript \| by glosses \| by right neighbours \| by left neighbours
1200689 1200689 \| 18-30f It doesn't matter anymore, but I experienced it as strict and cruel.
R	$GEST-TO-PONDER1^	CLEAR1A*	$ORAL^	ATROCIOUS4*	$INDEX1	STRICT2*	TO-LIVE4
L		CLEAR1A*	$ORAL^			STRICT2*	TO-LIVE4
M			war	grausam		streng	leben»
1244978 1244978 \| 46-60m The educators thought it was too brutal.
R	TO-EDUCATE1A		NO1A*	ATROCIOUS4*
L	TO-EDUCATE1A	TO-SAY1*	NO1A*
M	erzieher		[MG]	grausam grau{sam}
1182517 1182517 \| 46-60m But it was horrible on New Year's Eve.
R			NEW-YEARS-EVE1*	ATROCIOUS4	$INDEX1*
L			NEW-YEARS-EVE1*
M			silvester	grausam
= ROUGH1 (21 tokens)
Mouth: grob
frontal 45° 90° from above
Translational equivalent: rough
by transcript \| by glosses \| by right neighbours \| by left neighbours
1583214 1583214 \| 61+f My husband handled the cat rudely.
R		HUSBAND1	$INDEX1*	ROUGH1*	TO-KNOW-STH2A^*	$PROD
L					TO-KNOW-STH2A^*
M		mann		grob
1180097 1180097 \| 18-30m The whole car was shaking. I was driving more towards the middle of the road because there were no other cars around.
R	$PROD	MIDDLE2B	I1	ROUGH1*	MUCH1C	I1	$PROD
L		MIDDLE2B	CAR-TO-STOP2
M	[MG]	mitte	ich	grob	viel
1210825 1210825 \| 46-60m But as a machinist, you also have to do lots of welding, precision work, coarse work and so on.
R	$GEST-DECLINE1^	$PROD	FINE4*	ROUGH1*	EVERYTHING1C	TO-COMPRESS1A^*	TO-CARRY1^*
L	$GEST-DECLINE1^	$NUM-ONE-TO-TEN1A:1d	$NUM-ONE-TO-TEN1A:2d		EVERYTHING1C	TO-COMPRESS1A^*
M	noch	schweißen	fein	grob	alles
1177292 1177292 \| 46-60m Obviously, they had to qualify for the final. They were about 20 finalists.
R	TO-TIDY1^	TO-DECREASE-STH1B^*	$GEST-OFF1^	ROUGH1*	$NUM-TENS1:2	TO-PARTICIPATE1	TO-DECREASE-STH1B^
L	TO-TIDY1^	TO-DECREASE-STH1B^*	$GEST-OFF1^			TO-PARTICIPATE1	TO-DECREASE-STH1B^
M	[MG]		[MG]	grob	zwanzig	teilnehmer	[MG]
1184756 1184756 \| 18-30f There are approximately 23 students in one class.
R		PEOPLE2*	APPROXIMATELY1*	ROUGH1*
L	$NUM-TENS2A:2d*
M	dreiundzwanzig	leute		grob
1244978 1244978 \| 31-45m There were around 400 deaf students attending our school at a rough guess.
R			I1	ROUGH1	APPROXIMATELY1		I1
L						AREA1A^
M				grob
1584855 1584855 \| 46-60m The border installations, the Wall itself and the customs control were quite massive.
R			$INDEX1*	ROUGH1	WALL1B*	$PROD	ROUGH1
L					WALL1B*	$PROD
M				grob	mauer	mauer	grob
1427725 1427725 \| 18-30m Which means that we will look at a completely new style in fashion in around 10 years.
R			MEANING1	ROUGH1	$NUM-YEAR-AFTER-NOW1:10	APPROXIMATELY1*	TO-MODIFY1*
L					$NUM-YEAR-AFTER-NOW1:10		TO-MODIFY1*
M			bedeutet	grob			[MG]
1245154-15360102-15384713 1245154-… \| 31-45m But I don’t dice them, just roughly chop them up.
R	TO-DICE2	FINE3*	I1*	ROUGH1	MEASURE-VERTICAL2A^*	$PROD
L		FINE3*			MEASURE-VERTICAL2A^*	$PROD
M	würfel	fein		grob	[MG]	[MG]
1248862 1248862 \| 18-30f I would say that it’s probably around forty people, maximum.
R	APPROXIMATELY1	TO-SAY1	$GEST-OFF1^*	ROUGH1	MAXIMUM2*	$NUM-TENS2A:4*	PEOPLE2
L					MAXIMUM2*
M				grob		vierzig	leute
1584855 1584855 \| 46-60m The border installations, the Wall itself and the customs control were quite massive.
R	ROUGH1	WALL1B*	$PROD	ROUGH1	I2	TO-DRIVE-A-CAR1*	VERY7*
L		WALL1B*	$PROD			TO-DRIVE-A-CAR1*
M	grob	mauer	mauer	grob			[MG]
1176407 1176407 \| 18-30f Things like that just get to me.
R	$GEST^	GENERALLY1B	YES2	ROUGH1	FOR1*	YES1A	$GEST-OFF1^
L	$GEST^	GENERALLY1B					$GEST-OFF1^
M		allgemein	ja	grob	für mich	ja
1248862 1248862 \| 18-30f “The reason being that normally, we have a field of vision spanning 180 degrees.”
R	CAN1*	PERSPECTIVE1B^	APPROXIMATELY1	ROUGH1	$NUM-HUNDREDS1:1d	$NUM-TENS2A:8d	DEGREE1A
L	CAN1*	PERSPECTIVE1B^				$NUM-TENS2A:8d	DEGREE1A
M	kann	[MG]		grob		achtzig	grad
1209746 1209746 \| 18-30m Another guy ran away and tried to hold on to a pole and when the wave came it tore one of his legs apart.
R	POLE1*	TO-HUG2^*	$INDEX1*	ROUGH1	$PROD	LEG1A*	OFF1A*
L	POLE1*					LEG1A*
M				grob			ab
1419931 1419931 \| 31-45f Because of the dialect and the use of rude words.
R	NECK1^	AND3	WORD3*	ROUGH1	WORD3*	VERY6
L		AND3
M	dialekt	und		grob	wort	[MG]
1248862 1248862 \| 18-30f During the break, when everyone left, my friend angrily ran up to me and pushed me.
R	$PROD	ON-PERSON1*	MOVEMENT1A^	ROUGH1	TO-SHOVE1*
L			MOVEMENT1A^		TO-SHOVE1*
M		auf	[MG]	grob	[MG]
1248941-12070517-12233223 1248941-… \| 18-30f Around that time the first head implant surgeries were performed.
R	CI3	WITH1A	LIKE3B	ROUGH1	$PROD	CI2	$INDEX1
L			LIKE3B
M	c-i	mit	wie	grob
1212218 1212218 \| 46-60m They carved it all by hand. And how far was it again?
R	HOW-MUCH3A*	METRE1*	MEASURE-SAGITTAL2B^	ROUGH1
L	HOW-MUCH3A*	METRE1*	MEASURE-SAGITTAL2B^
M	wie {viele}	meter
1247849 1247849 \| 61+f They showed one of his movies, it was way too brutal, I can’t watch that.
R		MOVIE1*	TO-SHOW1A	ROUGH1*	I1	CAN2A*	NOT3B
L			TO-SHOW1A	ROUGH1*		CAN2A*	NOT3B
M		film	zeigt	viel zu grob	a	kann	nicht
1428821-16453820-16510849 1428821-… \| 31-45m Then, the surface gets roughened a little bit, not heavily though.
R	PRESENT-OR-HERE1	TO-GRATE-OR-TO-RUB3	NOT3A*	ROUGH1*	FINE1*	TO-GRATE-OR-TO-RUB3
L		TO-GRATE-OR-TO-RUB3	NOT3A*	ROUGH1*	FINE1*	TO-GRATE-OR-TO-RUB3
M	da		ni{cht}	grob	fein
1584198 1584198 \| 31-45m Doing everything by themselves would be a little too much.
R			TO-WANT-NO-PART-OF-STH2^
L			TO-WANT-NO-PART-OF-STH2^	ROUGH1
M			[MG]	grob
= REVENGE2 (1 token)
Mouth: rache
frontal 45° 90° from above
Translational equivalent: revenge
by transcript \| by glosses \| by right neighbours \| by left neighbours
1247205 1247205 \| 46-60f Some people behave utterly obnoxious and really radical.
R	LIKE3A*	EXTREME1	OR1*	REVENGE2	$INDEX1
L	LIKE3A*
M	wie	extrem	oder	rach	[MG]

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Types ID	Gloss	HamNoSys	Mouth
14389	ROUGH1^		∅
11887	HARSH1		brutal
61706	EXTREME1		extrem
27088	FORGERY1		fälschung
7927	VIOLENCE2		∅
12752	ATROCIOUS4		grausam
2549	ROUGH1		grob
76573	REVENGE2		rache