CROOKED1^

	
	63

frontal

45°

90°

from above

L	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*	PICKLED-GHERKINS1B
≙ CROOKED1^ (3 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1180339-16161232-16363818 1180339-… \| 31-45m Duh, I cannot sign it like that. I meant the sausage ‘Pinkel’ - from the ‘kale tours’.
R		PENIS1^	MUST1A^	CROOKED1^*	TO-DRIVE1
L				CROOKED1^*	TO-DRIVE1
M		pinkel		pinkel	fahrt
1180339-16161232-16363818 1180339-… \| 31-45m We have cabbage tours, too. It is the same for Osnabrück as in Bremen.
R	ALSO1A	TO-DRIVE1^	AND2A	CROOKED1^*	TO-DRIVE1	EQUAL1A	$PROD
L		TO-DRIVE1^	AND2A	CROOKED1^*	TO-DRIVE1	EQUAL1A
M	auch	kohl- und pinkelfahrt				[MG]
1180339-16161232-16363818 1180339-… \| 31-45m You take a “Bollerwagen” [like a hand cart] with you - just like you explained, but you also carry along the “Boßel-”balls with which you play on the street.
R	ALSO1A*	$ALPHA1:K*	TO-DRIVE1*	CROOKED1^*	$INDEX1	DIFFERENT1	ALSO1A
L	ALSO1A*	TO-PULL4^*	TO-DRIVE1*	CROOKED1^*		DIFFERENT1
M	auch	kohlfahrt				an{ders}	auch
= BANANA1A (6 tokens)
Mouth: banane
frontal 45° 90° from above
Translational equivalent: banana
by transcript \| by glosses \| by right neighbours \| by left neighbours
1984213 1984213 \| 61+m Then it hides behind the corner and tries to lure the monkey in with a banana.
R			ROUND-THE-CORNER1	BANANA1A*	BANANA4*	$PROD
L				BANANA1A*	BANANA4*
M			[MG]	banane		[MG]
1179224 1179224 \| 31-45f The fish market is famous for its barkers, like those who throw bananas or eels.
R	FAMOUS1A*	SCREAM3*	NECK2A*	BANANA1A*	TO-THROW6A*	AND2B*	EEL1*
L				BANANA1A*
M	berühmt	schreihals		banane	werf	und	aal
1430328 1430328 \| 31-45f A pizza with banana.
R			WITH1A	BANANA1A	$PROD
L				BANANA1A
M			mit	ban{ane}
1289827-15544446-15594938 1289827-… \| 18-30f I sign BANANA, like this.
R				BANANA1A
L			I1	BANANA1A	$GEST-OFF1^*
M				banane
1289827-15544446-15594938 1289827-… \| 18-30f Granny signs BANANA, like this.
R				BANANA1A
L		I1*	$INDEX1	BANANA1A
M				banane
1430328 1430328 \| 31-45f What was the topping? Pineapple? No, it was banana.
R	$LIST1:1of1d*	$ALPHA1:A	NO1A*	BANANA1A
L	$LIST1:1of1d*			BANANA1A
M		anan{as}		banane
= PICKLED-GHERKINS1B (4 tokens)
Mouth: gurke
frontal 45° 90° from above
Translational equivalent: pickled gherkins
by transcript \| by glosses \| by right neighbours \| by left neighbours
1176624 1176624 \| 61+m I needed baloney, gherkins and so on.
R	$INDEX-ORAL1	SAUSAGE1B	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*	PICKLED-GHERKINS1B
L		SAUSAGE1B	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*	PICKLED-GHERKINS1B
M	fleischwurst		[MG]	gewürzgurke
1179224 1179224 \| 31-45f Labskaus is this special dish made of rollmops and gherkin that’s really typical of Hamburg.
R	FISH1	TO-ROLL1A	TO-ROLL1A	PICKLED-GHERKINS1B	WELL-KNOWN1A	$INDEX1
L		TO-ROLL1A	TO-ROLL1A	PICKLED-GHERKINS1B	WELL-KNOWN1A
M	fischrolle rollmops			gurke	bekannt	hamburg
1176624 1176624 \| 61+m I needed baloney, gherkins and so on.
R	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*	PICKLED-GHERKINS1B
M	[MG]	gewürzgurke
1176624 1176624 \| 61+m I also got help with cutting up all the baloney and gherkins.
R		INDEFINITE1^*	TO-HELP1*	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B
L	I1	INDEFINITE1^*	TO-HELP1*	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B
M	[MG]	[MG]	helfen	gurke		[MG]	fleischwurst
= SAUSAGE1A (30 tokens)
Mouth: wurst
frontal 45° 90° from above
Translational equivalents: sausage; sausage (small)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1430328 1430328 \| 31-45f Don’t you have a certain ‘mettwurst’ [kind of sausage]?
R				SAUSAGE1A*	TOGETHER3A^*	SAUSAGE1A
L				SAUSAGE1A*		SAUSAGE1A
M					mettwurst
1431896 1431896 \| 46-60m A really big sausage.
R			$GEST-NM^	SAUSAGE1A*
L			$GEST-NM^	SAUSAGE1A*
M				bockw{urst}
1184749 1184749 \| 31-45m We talked while eating bratwurst, frankfurter.
R	$PROD	TO-EAT-OR-FOOD1*	$PROD	SAUSAGE1A*	FRANKFURT1*	SAUSAGE1A*
L				SAUSAGE1A*	FRANKFURT1*	SAUSAGE1A*
M				bratwurst	frankfurt	b{rat}wurst
1184749 1184749 \| 31-45m We talked while eating bratwurst, frankfurter.
R	$PROD	SAUSAGE1A*	FRANKFURT1*	SAUSAGE1A*
L		SAUSAGE1A*	FRANKFURT1*	SAUSAGE1A*
M		bratwurst	frankfurt	b{rat}wurst
1430328 1430328 \| 31-45f They tried a bratwurst there and said they liked it.
R		I2	TO-COME-FROM1	SAUSAGE1A*	$INDEX1	TO-TASTE1A	I1
L				SAUSAGE1A*
M				bratwurst
1430328 1430328 \| 31-45m No, the Nuremberg Bratwurst is really special.
R	$INDEX1	EXAMPLE1	NUREMBERG2	SAUSAGE1A*
L		EXAMPLE1	NUREMBERG2	SAUSAGE1A*
M		beispiel	nürnberger bratwurst
1430328 1430328 \| 31-45f We don't have any famous specialties, such as the currywurst.
R	EXAMPLE1*	FAMOUS1A	$ALPHA1:C	SAUSAGE1A*	$GEST-OFF1^	I1	$GEST^
L	EXAMPLE1*	FAMOUS1A		SAUSAGE1A*	$GEST-OFF1^		$GEST^
M	zum {beispiel}	berühmt	currywurst
1430328 1430328 \| 31-45f Or maybe a bratwurst?
R				SAUSAGE1A	$GEST^
L				SAUSAGE1A	$GEST^
M				bratwurst
1187152 1187152 \| 31-45f I’m grilling the sausages and the meat, I promised.
R				SAUSAGE1A	$GEST^*	SAUSAGE2^	AND2A
L				SAUSAGE1A	$GEST^*		AND2A
M				bratwürste		fleisch	und
1431896 1431896 \| 46-60m We ate the sausage but it was so disgusting.
R				SAUSAGE1A	$PROD	DISGUST4
L				SAUSAGE1A
M				bockwurst	[MG]	[MG]
1177704-14384449-14403422 1177704-… \| 46-60m Sausages are prepared really fast.
R			OUTDOORS1A^*	SAUSAGE1A	FAST3B	FIRE1A^*	FAST3B
L				SAUSAGE1A	FAST3B	FIRE1A^*	FAST3B
M				wurst	schnell	[MG]	schnell
1187218 1187218 \| 31-45f Usually there are sausages with buns, yes, sausages and bread rolls.
R			MOST3*	SAUSAGE1A	WITH1A*	BUN3*	$GEST-OFF1^
L			MOST3*	SAUSAGE1A	WITH1A*	BUN3*	$GEST-OFF1^
M			meistens	würstele	mit	semmel
1248625-15324720-15465943 1248625-… \| 31-45f And Bregenwurst [specialty sausage of Lower Saxony].
R			MOUNTAIN3	SAUSAGE1A
L				SAUSAGE1A
M			berg	wurst
1431222 1431222 \| 31-45f The only thing that they offered were sausages and consequently that booth was crowded.
R			EASY1	SAUSAGE1A	$GEST^*	MASS-OF-PEOPLE-ACTIVE2*	$GEST^*
L			EASY1	SAUSAGE1A		MASS-OF-PEOPLE-ACTIVE2*
M			einfach	wurst		voll
1430328 1430328 \| 31-45f I wanted them to try a German bratwurst.
R	GERMAN1*	NONE7A	$INDEX1	SAUSAGE1A	EXAMPLE1^*	I2	TO-LET-KNOW1A
L				SAUSAGE1A	EXAMPLE1^*
M	deutsch	[MG]		bratwurst	[MG]
1212402 1212402 \| 31-45f Sometimes I had to think about it first and then I remembered and told her that we had bratwurst or schnitzel, for instance.
R	TO-TELL3A	MUM11*	THERE-IS3*	SAUSAGE1A	THEN1A	SCHNITZEL2
L	TO-TELL3A		THERE-IS3*	SAUSAGE1A		SCHNITZEL2
M	erz{ähle}	[MG]	gibt	bratwurst	dann	schnitzel
1430328 1430328 \| 31-45m But if I have to tell a visitor about some specialties, I would tell them about the Sauerbraten or the Nuremberg Bratwurst.
R	NUREMBERG2	LIKE-THIS1A*	TO-BARBECUE1^	SAUSAGE1A	SMALL2		TO-SHOW1B
L	NUREMBERG2		TO-BARBECUE1^	SAUSAGE1A		TO-EAT-OR-FOOD2*	TO-SHOW1B
M	nürnberg			bratwurst	[MG]
1430328 1430328 \| 31-45f Don’t you have a certain ‘mettwurst’ [kind of sausage]?
R		SAUSAGE1A*	TOGETHER3A^*	SAUSAGE1A
L		SAUSAGE1A*		SAUSAGE1A
M			mettwurst
1289462 1289462 \| 46-60f Or when I’m at the meat counter, I point at the things I’d like to have.
R		TO-LOOK-AT1*	$INDEX1*	SAUSAGE1A	I2	$INDEX1*
L		TO-LOOK-AT1*	$INDEX1*	SAUSAGE1A
M				wurst
1433543 1433543 \| 18-30m Weisswurst can traditionally only be eaten until midday.
R		SAUSAGE6*	WHITE1A*	SAUSAGE1A	$INDEX1	QUOTATION-MARKS1*	USUALLY1*
L		SAUSAGE6*		SAUSAGE1A		QUOTATION-MARKS1*	USUALLY1*
M			weißwurst				normalerweise
1177704-14384449-14403422 1177704-… \| 46-60m So that different types of sausage, meat, pork belly and other food can be grilled.
R	$$EXTRA-LING-ACT^	MUCH1A	DISTINCT1	SAUSAGE1A	MEAT1B	LIVER1C^*	NARROW1F^
L	$$EXTRA-LING-ACT^		DISTINCT1	SAUSAGE1A	MEAT1B		NARROW1F^
M		viel	verschieden	wurst	fleisch	speck	[MG]
1430328 1430328 \| 31-45f Other countries don't have bratwurst.
R	COUNTRY1A	NONE2	TO-ROAST-OR-TO-FRY1*	SAUSAGE1A
L				SAUSAGE1A
M	land	keine	bratwurst
1431896 1431896 \| 46-60m We were hungry and ordered a sausage.
R	NEED1A^	TO-EAT-OR-FOOD1	TO-ORDER1A	SAUSAGE1A
L				SAUSAGE1A
M			bestellen	bockwurst
1430328 1430328 \| 31-45f It is a certain bratwurst.
R	$NUM-ONE-TO-TEN1A:1	TO-TASTE3^	TO-ROAST-OR-TO-FRY1*	SAUSAGE1A
L				SAUSAGE1A
M	einmal	[MG]	bratwurst
1430328 1430328 \| 31-45f We would definitely have to try one of these then.
R	MUST1	YOU-PLURAL1A	TO-TRY-OR-REHEARSAL2	SAUSAGE1A	$GEST^
L				SAUSAGE1A	$GEST^
M	muss		pro{bieren}	bratwurst
1184749 1184749 \| 31-45m I said, “I eat Nuremberg sausage.”
R	I1	NUREMBERG1B*	I1	SAUSAGE1A
L		NUREMBERG1B*		SAUSAGE1A
M	ich	nürnberg		b{rat}wurst
1427810 1427810 \| 18-30m We also had cheese and everything, even baloney.
R	DIVERSE1	EVERYTHING1A*	$INDEX1	SAUSAGE1A
L		EVERYTHING1A*		SAUSAGE1A
M	[MG]	alles		fleisch
1187218 1187218 \| 31-45f Usually there are sausages with buns, yes, sausages and bread rolls.
R	$GEST-OFF1^	BREAD-ROLL2	$GEST-OFF1^	SAUSAGE1A
L	$GEST-OFF1^	BREAD-ROLL2	$GEST-OFF1^	SAUSAGE1A
M	semmel	brötchen
1180339-16161232-16363818 1180339-… \| 31-45m Sometimes the kale is served with cooked or fried potatoes, with “Kochwurst” [a pre-cooked sausage] or “Kassler” [smoked pork chop].
R		AND2A*	TO-COOK2C	SAUSAGE1A	AND2A	DOG1^	ENVELOPE3^*
L	SERVICE2A*	AND2A*	TO-COOK2C	SAUSAGE1A	AND2A		ENVELOPE3^*
M		und	kochwurst		und	kassler
1427810 1427810 \| 18-30f That means sausage in France could be just as expensive?
R					$INDEX1
L	GOOD1*	MEANING1	$GEST-OFF1^*	SAUSAGE1A*		FRANCE3A*	BIT2A
M		bedeutet		wurst		frankreich	ein bisschen
~ BANANA1B (8 tokens)
Mouth: banane
frontal 45° 90° from above
Translational equivalent: banana
by transcript \| by glosses \| by right neighbours \| by left neighbours
1212176 1212176 \| 46-60m I had a banana for the first time in my life.
R				BANANA1B*	FIRST-TIME3A	$PROD
L
M				banane	zum erste{n mal}	[MG]
1212176 1212176 \| 46-60m They had bananas in West Germany but not in East Germany.
R	$INIT-STRAIGHT1^*	AREA1A^*	NONE6	BANANA1B*	NONE7A
L			NONE6		$GEST^
M	osten			banane	[MG]
1250059 1250059 \| 18-30f I asked them why I was able to get such nice clothes as well as bananas, and why we had received the car so quickly.
R	CLOTHES3	TO-OBTAIN3*	$LIST1:2of2d*	BANANA1B*	TO-OBTAIN3*	FOR-WHAT1*	CAR1*
L	CLOTHES3	$LIST1:1of1d*	$LIST1:2of2d*	BANANA1B*	$LIST1:2of2d*	$NUM-ONE-TO-TEN1A:3d	CAR1*
M	kleid			banane		wofür	auto»
1250059 1250059 \| 18-30f You could see me holding a banana or wearing some nice dresses on some of the pictures.
R				BANANA1B	OR4B*	PRETTY1A	DRESS1
L		I1	SELF1A*	BANANA1B	OR4B*		DRESS1
M			selbst	banane	oder	hüb{sch}	kleid»
1250059 1250059 \| 18-30f They thought members of the Stasi were receiving gifts like nice clothes and bananas.
R	MUCH1A	TO-GIVE-PRESENT1*	$GEST^	BANANA1B	OR4B*	MODERN1D*	CLOTHES3
L		TO-GIVE-PRESENT1*	$GEST^	BANANA1B	OR4B*	MODERN1D*	CLOTHES3
M	viel	schenk schenk		banane	oder	[MG]
1250059 1250059 \| 18-30f They thought so because of the bananas and the clothes.
R	CLOTHES3	WHY1	TO-DELIVER1B*	BANANA1B
L	CLOTHES3		TO-DELIVER1B*	BANANA1B
M		warum		banane
1250059 1250059 \| 18-30f They couldn't believe it and told me that the clothes and the bananas had been sent to us by my aunt from Western Germany.
R	DRESS1	MODERN1A*	AND2A	BANANA1B	TO-SAY1*	MY1	AUNT5
L	DRESS1		AND2A	BANANA1B			AUNT5
M	kl{eider}			banane		meine	tante
1250646 1250646 \| 61+f Before Christmas, everyone would go to Berlin to buy oranges and bananas.
R	TO-DRIVE1^	TO-BUY1A	TO-JUICE1A^*	BANANA1B
L	TO-DRIVE1^	TO-BUY1A	TO-JUICE1A^*	BANANA1B
M	berlin	kaufen	apfelsine	banane
~ PICKLED-GHERKINS1A (2 tokens)
Mouth: gurke
frontal 45° 90° from above
Translational equivalent: pickled gherkins
by transcript \| by glosses \| by right neighbours \| by left neighbours
1418858 1418858 \| 31-45m Yes, that was the cucumber skit and all.
R				PICKLED-GHERKINS1A	SUBJECT1*	PICKLED-GHERKINS1A	$GEST-OFF1^*
L				PICKLED-GHERKINS1A		PICKLED-GHERKINS1A	$GEST-OFF1^*
M				gurke	thema	gurke
1418858 1418858 \| 31-45m Yes, that was the cucumber skit and all.
R		PICKLED-GHERKINS1A	SUBJECT1*	PICKLED-GHERKINS1A	$GEST-OFF1^*	COMMA1^*	$GEST-OFF1^*
L		PICKLED-GHERKINS1A		PICKLED-GHERKINS1A	$GEST-OFF1^*		$GEST-OFF1^*
M		gurke	thema	gurke
~ SAUSAGE1B (16 tokens)
Mouth: wurst
frontal 45° 90° from above
Translational equivalents: sausage (small); sausage
by transcript \| by glosses \| by right neighbours \| by left neighbours
1249131-10284534-10424015 1249131-… \| 61+f For dinner we always had a selection of fine sausages such as “Teewurst” or “Leberwurst” [two kinds of sausages common in Germany].
R	MATURE3^	SAUSAGE3	LIVER1D*	SAUSAGE1B*	GOOD1^	SAUSAGE1B
L		SAUSAGE3				SAUSAGE1B
M	teewurst		leberwurst		feinwurst
1246681 1246681 \| 46-60m For them, the sausage market is something of a small Oktoberfest, the one in Munich.
R			CLEAR1A*	SAUSAGE1B*	LIKE3A	LIKE-SAYING1	ACTIVE1^
L			CLEAR1A*	SAUSAGE1B*	LIKE3A	LIKE-SAYING1	ACTIVE1^
M			klar	wurstmarkt	wie		oktoberfest»
1176624 1176624 \| 61+m We had grilled sausages with ketchup.
R			TO-BARBECUE1A	SAUSAGE1B*
L			TO-BARBECUE1A	SAUSAGE1B*	TO-SQUEEZE3^*
M			grillwurst		ketchup
1246681 1246681 \| 46-60m In one of those places within the wine-growing region, there’s usually a sausage market, for example in September.
R	TO-THERE1^			SAUSAGE1B*	MARKET3*
L		OFTEN1A*	$INDEX1	SAUSAGE1B*	MARKET3*
M		oft		wurstmarkt
1246681 1246681 \| 46-60m On average, that’s four days in September, and a week later, the sausage market starts.
R	LATER10*	WEEK1A*	LATER10*	SAUSAGE1B*	$INDEX1*	COHERENCE1B^*	$GEST-I-DONT-KNOW1^
L	LATER10*	WEEK1A*	LATER10*	SAUSAGE1B*	$INDEX1*	COHERENCE1B^*	$GEST-I-DONT-KNOW1^
M		eine woche	später	wurstmarkt [MG]
1427810 1427810 \| 18-30f I mean, if we have cold cuts in the morning, that’s meat too.
R			MORNING3A	SAUSAGE1B*		$PROD	MEAT1A
L	I1	TO-KNOW-STH2A	MORNING3A	SAUSAGE1B*	$PROD	$PROD	MEAT1A
M		weiß	morgen	wurst		[MG]	fleisch
1419931 1419931 \| 31-45f Then you put the sausage inside.
R				SAUSAGE1B	TO-STUFF2^*
L				SAUSAGE1B	TO-STUFF2^*
M				wurst	[MG]
1419931 1419931 \| 31-45f It's called 'Ketwurst'.
R			$ALPHA1:K-E-T_2	SAUSAGE1B
L				SAUSAGE1B
M			ketwurst
1176624 1176624 \| 61+m I needed baloney, gherkins and so on.
R			$INDEX-ORAL1	SAUSAGE1B	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*
L				SAUSAGE1B	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	AND2B*
M			fleischwurst		[MG]	gewürzgurke»
1419931 1419931 \| 31-45f 'Buletten', currywurst, pea soup.
R		MEATBALL1*	TO-POUR-OR-TO-WATER1B^*	SAUSAGE1B	MEATBALL1*	PEA-$CANDIDATE-BER29^	SOUP1*
L		MEATBALL1*		SAUSAGE1B	MEATBALL1*	PEA-$CANDIDATE-BER29^	SOUP1*
M		buletten	currywurst		buletten	erbsensuppe
1180339-16161232-16363818 1180339-… \| 31-45m Nope, the other sign is not suitable.
R	WORD3	NO1A	MUST1A^	SAUSAGE1B	TO-DRIVE1
L				SAUSAGE1B	TO-DRIVE1
M	wort			pinkel	fahrt
1249542 1249542 \| 46-60m She told me that she missed the Nürnberger Bratwurst.
R	TO-MISS1	NUREMBERG1A	MOUNTAIN3*	SAUSAGE1B
L	TO-MISS1	NUREMBERG1A		SAUSAGE1B
M	vermisst	nürnberger bratwurst
1432043 1432043 \| 46-60m You can buy homemade honey, homemade liver sausage and many other things.
R	SELF1A*	TO-MAKE1*	$CUED-SPEECH:R2*	SAUSAGE1B	DISTINCT2A*
L		TO-MAKE1*		SAUSAGE1B	DISTINCT2A*
M	selbstgemacht		leberwurst		verschieden
1249131-10284534-10424015 1249131-… \| 61+f For dinner we always had a selection of fine sausages such as “Teewurst” or “Leberwurst” [two kinds of sausages common in Germany].
R	LIVER1D*	SAUSAGE1B*	GOOD1^	SAUSAGE1B
L				SAUSAGE1B
M	leberwurst		feinwurst
1584545 1584545 \| 31-45f They have carp on New Year's Eve and either Bratwurst or fish for Christmas Eve.
R	MOST1B	ONLY2B	TO-ROAST-OR-TO-FRY1	SAUSAGE1B	INSECURE1*	OR6B*	FISH1*
L			TO-ROAST-OR-TO-FRY1	SAUSAGE1B
M	meist	nur	bratwurst			oder	fisch
1176624 1176624 \| 61+m I also got help with cutting up all the baloney and gherkins.
R	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2	THIS-AND-THAT3^
L	PICKLED-GHERKINS1B	TO-PART-TO-CHOP1*	THIS-AND-THAT3^	SAUSAGE1B	TO-PART-TO-CHOP1^*	TO-CHOP2	THIS-AND-THAT3^
M	gurke		[MG]	fleischwurst	[MG]		[MG]

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Types ID	Gloss	HamNoSys	Mouth
13623	CROOKED1^		∅
2287	BANANA1A		banane
9164	PICKLED-GHERKINS1B		gurke
3223	SAUSAGE1A		wurst
75966	BANANA1B		banane
64569	PICKLED-GHERKINS1A		gurke
4430	SAUSAGE1B		wurst