HORNS2C^

	
	1175

≙ HORNS2C^ (7 tokens)
by transcript | by glosses | by right neighbours | by left neighbours
1249376 goe10 | 46-60m    Later on, the food was affected as well; you couldn’t eat anything from the forest, like game or deer.
r	TO-EAT-OR-FOOD2	GAME-ANIMALS6	$INDEX1	HORNS2C^	NOT3A*	$GEST-OFF1^*
l
m	essen			hirsch	verboten	[MG]
1432043 sh08 | 46-60m    There is also a viking bike path.
r			THERE-IS3	HORNS2C^	BICYCLE1	WAY2B
l
m			gibt es	wikinger	radweg
1432043 sh08 | 46-60m    Then, in Schleswig/ in Schleswig there’s a viking festival.
r	$INDEX1	SCHLESWIG1	$INDEX1	HORNS2C^*	CELEBRATION1B
l
m		schleswig		wikingerfest
1432043 sh08 | 46-60m    In Haithabu, the viking festival.
r	$INDEX1*	$CUED-SPEECH*	$INDEX1	HORNS2C^*
l
m	…	haithabu		wiki{nger}
1247525 goe01 | 61+m    I am against it, though, because I think one gets addicted and then one sits in front of the computer all the time.
r	HOW-QUESTION1	ON-OBJECT1	DEVIL1A*	HORNS2C^*	$GEST-DECLINE1^	ADDICTION1^*	$GEST-DECLINE1^
l
m				teufel
1246681 fra13 | 46-60m    Among them were Mainz, Cologne and Worms.
r	$LIST1:1of1d*	MAINZ1*	$LIST1:1of1d	HORNS2C^*	$LIST1:2of2d*	$NUM-ONE-TO-TEN1A:2d
l						$ALPHA1:W
m		mainz		köln		worms
1430328 koe15 | 31-45m    There are deer and wild boars in my village and in Siegen as well.
r	$GEST^	$LIST1:1of1d*	$LIST1:2of2d	HORNS2C^*	$LIST1:2of2d
l
m	…			wildschwein
= BULL1A (1 token)
	Translational equivalent: bull
1250972 mvp07 | 31-45f    They process pork, poultry and beef.
r			PIG2	BULL1A	PRESENT-OR-HERE1*	POULTRY3	ALSO1A*
l
m			schwein	stier		geflü{gel}	auch
= CALF-VEAL1 (2 tokens)
	Translational equivalent: calf
by transcript | by glosses | by right neighbours | by left neighbours
1433543 mue07 | 31-45m    It used to be veal.
r			GENUINE1*	CALF-VEAL1*	NOT-ANYMORE1A
l		PAST-OR-BACK-THEN2
m		früher		kalb
1433543 mue07 | 31-45m    Pork or veal?
r			PIG2	CALF-VEAL1*
l
m			schwein	kalb
= CATTLE1 (3 tokens)
	Translational equivalents: ox; cow; cattle
by transcript | by glosses | by right neighbours | by left neighbours
1250646 mvp05 | 61+m    Beef was a bit more expensive, though.
r			BUT1*	CATTLE1*	MEAT18*	PRICE1B*
l							MORE6*
m			aber	rindfleisch		preis
1250646 mvp05 | 61+f    That’s true, beef/ Pork/ Right.
r			RIGHT-OR-AGREED1A	CATTLE1*		RIGHT-OR-AGREED1A
l					PIG2*
m				rindflei{sch}	schwein
1250646 mvp05 | 61+m    Pork wasn’t as much.
r				CATTLE1*	PIG2*	MEAT18*	LITTLE-BIT1*
l
m				schweinefleisch			weniger
= COW1 (8 tokens)
	Mouth: kuh
	frontal 45° 90° from above
	Translational equivalent: cow
by transcript | by glosses | by right neighbours | by left neighbours
1184536 nue03 | 31-45m    In former times, a farmer had cows dragging carts.
r	FARMER2	TO-SAY1*	PAST-OR-BACK-THEN1*	COW1*	$PROD	TO-TOW1^*
l
m	bauer		früher	kuh	[MG]	[MG]
1179868 hb06 | 31-45f    There was a fence with some sort of string for the cows.
r	LIKE-HOW1A	$INDEX1	FENCE1A	COW1*	WIRE1*
l
m	wie		zaun	kuh	faden
1204877 mue03 | 46-60m    I also helped my grandma and grandpa to cut hay, which was used to feed the cows.
r	$ORAL^	TO-HELP1*	TO-SWEEP1A^*	COW1*	TO-FEED1
l
m	oma	helfen	heu	kuh	füttern
1182343 stu13 | 31-45f    It was a pig’s or cow’s eye.
r			PIG2	COW1*	EYE1*	$PROD
l
m			schwein	kuh	auge	[MG]
1211515 stu04 | 61+m    Back in the days, there was a meadow close by the creek, one for cows and another for sheep, and you could also swim across the Rhine.
r	BROOK1*	PLANE3B^*	$LIST1:2of2d	COW1*	AREA1D^*	$GEST^	SHEEP-$CANDIDATE-STU63^
l
m	bach	weide		kuhweide			schafweide
1430328 koe15 | 31-45f    Maybe made from a sheep or a cow which has a certain taste?
r	ANIMAL1A*	$INDEX1*	SHEEP1*	COW1*	TO-PART-TO-CHOP1^*	TO-KNOW-STH2B^	TO-TASTE3
l
m	tier		schaf	kuh
1249741 mvp01 | 18-30m    There are cows on the meadows grazing.
r				COW1*	COW2D*	REGULARLY2A^*	AREA1A^*
l
m				kuh	kuh
1433543 mue07 | 31-45m    Now it’s cheap, because they make it from a mix of pork and veal.
r	TO-MIX2*		AND2A*		TO-MIX3*	THEREFORE1*
l		PIG2		COW1*			CHEAP2
m	[MG]	schwein	und	kuh	misch	darum	billig
= GAME-ANIMALS9A (3 tokens)
	Mouth: wild
	frontal 45° 90° from above
	Translational equivalent: game, game animals
by transcript | by glosses | by right neighbours | by left neighbours
1418889 ber08 | 31-45f    That was the way it went until the Fall of the Wall. Then I led a happy and excessive life.
r	GAME-ANIMALS9A*	TO-EAGERLY-LOOK-FORWARD-TO-STH1^	I1*	GAME-ANIMALS9A	TO-LIVE1G	$PROD
l
m	…	[MG]		wild	leben
1418889 ber08 | 31-45f    I had to undergo physical therapy, because, as I've already said, I lead a wild life.
r	TO-TEACH1^*	PROCEEDING1A^*		GAME-ANIMALS9A	TO-LIVE1B*
l			PAST-OR-BACK-THEN1*
m	therapie		frü{her}	wildlebend
1418889 ber08 | 31-45f    That was the way it went until the Fall of the Wall. Then I led a happy and excessive life.
r	PROCEEDING1A^*	FALL-OF-THE-BERLIN-WALL1	NO3B^*	GAME-ANIMALS9A*	TO-EAGERLY-LOOK-FORWARD-TO-STH1^	I1*	GAME-ANIMALS9A
l
m		mauerfall			[MG]		wild