THIN-OR-SKINNY1A^

	
	1363 1832

frontal

45°

90°

from above

L				THIN-OR-SKINNY1A^*	$GEST-OFF1^
≙ THIN-OR-SKINNY1A^ (25 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1184145 1184145 \| 61+m And fir trees.
R				THIN-OR-SKINNY1A^*	$GEST-OFF1^
M				fichten
1184145 1184145 \| 61+m There are only fir trees, nothing else.
R				THIN-OR-SKINNY1A^*	DONE1B	$GEST-OFF1^
L				THIN-OR-SKINNY1A^*	DONE1B	$GEST-OFF1^
M				fichte
1184145 1184145 \| 61+m Because there are mainly fir trees in the woods.
R			HENCE1*	THIN-OR-SKINNY1A^*	CONIFER1A^*	INTEREST1A*	MORE1*
L			HENCE1*	THIN-OR-SKINNY1A^*	CONIFER1A^*
M			deshalb				mehr
1249131-10284534-10424015 1249131-… \| 61+f We didn’t have aprons.
R			I1*	THIN-OR-SKINNY1A^*	I1*	NOT1*	I1*
L				THIN-OR-SKINNY1A^*
M				schürze		nicht
1290126 1290126 \| 31-45m Everyone rushed to the bananas and they bought every single one until there were no more.
R			TO-DECREASE-STH1A*	THIN-OR-SKINNY1A^*	FINISH1	LAST1B	FINISH1
L			TO-DECREASE-STH1A*	THIN-OR-SKINNY1A^*	FINISH1	LAST1B	FINISH1
M			[MG]	[MG]	[MG]	letzt	[MG]
1428821-16453820-16510849 1428821-… \| 31-45m That’s why one should make a mental note of where it was before.
R		TO-MEMORISE1*	BEFOREHAND1A*	THIN-OR-SKINNY1A^*	DONE4
L				THIN-OR-SKINNY1A^*	DONE4	$INDEX1*
M			vorher		[MG]
1687803-10331315-10464419 1687803-… \| 46-60f We practiced the B and the P and also the H and the F by holding a feather in front of our mouth.
R		$ALPHA1:B	$PROD	THIN-OR-SKINNY1A^*	$PROD	AIR1^*	$PROD
L				THIN-OR-SKINNY1A^*		AIR1^*
M		b	p	feder	[MG]	h	[MG]
1184145 1184145 \| 61+m Well, there are fir trees, hence the name Fichtel Mountains.
R		$GEST-OFF1^*	ONLY2A	THIN-OR-SKINNY1A^*	$GEST-OFF1^	FOREST3A*	THIN-OR-SKINNY1A^*
L		$GEST-OFF1^*		THIN-OR-SKINNY1A^*	$GEST-OFF1^	FOREST3A*	THIN-OR-SKINNY1A^*
M			nur	fichten		wald	fichten
1184756 1184756 \| 31-45m The Leicester Square is located on the other side; there also is this tall column.
R			$NAME	THIN-OR-SKINNY1A^*	STATURE-OF-LIBERTY1^*	THIN-OR-SKINNY1A^*	$ALPHA1:L
L		IN1*	$NAME	THIN-OR-SKINNY1A^*		THIN-OR-SKINNY1A^*
M			leicester				leicester
1427810 1427810 \| 18-30f My boyfriend doesn’t like spaghetti.
R				THIN-OR-SKINNY1A^*	AGAINST1^*	MY1*
L		MY1*	BOYFRIEND-GIRLFRIEND1	THIN-OR-SKINNY1A^*			BOYFRIEND-GIRLFRIEND1
M		[MG]		spaghetti	[MG]	mein	[MG]
1427810 1427810 \| 18-30f Bolognese goes well with spätzle [type of South German pasta dish], for example.
R			TO-MATCH1	THIN-OR-SKINNY1A^*		EXAMPLE1	$GEST-OFF1^
L		$ALPHA1:B	TO-MATCH1	THIN-OR-SKINNY1A^*	$GEST-OFF1^*	EXAMPLE1	$GEST-OFF1^
M		bolognese	pass	spätzle		beispiel
1413242 1413242 \| 46-60m Those wood pylons to which the power lines for the streetcars are attached.
R	$INDEX1	WHAT1B*	$INDEX1	THIN-OR-SKINNY1A^*	STREETCAR2C*	NET1A^*	CITY2
L				THIN-OR-SKINNY1A^*		NET1A^*	CITY2
M	[MG]	was			s{traßenbahn}	stadt
1184756 1184756 \| 31-45m The Leicester Square is located on the other side; there also is this tall column.
R	$NAME	THIN-OR-SKINNY1A^*	STATURE-OF-LIBERTY1^*	THIN-OR-SKINNY1A^*	$ALPHA1:L	$ALPHA1:S-Q-E	$NAME
L	$NAME	THIN-OR-SKINNY1A^*		THIN-OR-SKINNY1A^*			$NAME
M	leicester				leicester	square
1290126 1290126 \| 31-45m Everyone was really excited and dug into them until none were left.
R	TO-SPREAD2^*	TO-GRAB4	OFF-CLOSED1	THIN-OR-SKINNY1A^*	FINISH1
L	TO-SPREAD2^*	TO-GRAB4	OFF-CLOSED1	THIN-OR-SKINNY1A^*	FINISH1
M	[MG]	[MG]	[MG]	[MG]
1583950 1583950 \| 31-45f I was worried that having a metal wire or a cable in my leg would make everything worse.
R			WRONG4*	THIN-OR-SKINNY1A^*	METAL1
L	BAD3A*	WRONG4*		THIN-OR-SKINNY1A^*	METAL1	$PROD
M	schlimmer		falsch	nabel	metall
1184145 1184145 \| 61+m Because there are mainly fir trees in the woods.
R	CONIFER1A^*	INTEREST1A*	MORE1*	THIN-OR-SKINNY1A^*	$GEST-OFF1^
L	CONIFER1A^*			THIN-OR-SKINNY1A^*	$GEST-OFF1^
M			mehr	fichte
1184145 1184145 \| 61+m Well, there are fir trees, hence the name Fichtel Mountains.
R	THIN-OR-SKINNY1A^*	$GEST-OFF1^	FOREST3A*	THIN-OR-SKINNY1A^*	END1^*	$INDEX-ORAL1	$GEST-OFF1^*
L	THIN-OR-SKINNY1A^*	$GEST-OFF1^	FOREST3A*	THIN-OR-SKINNY1A^*	END1^*		$GEST-OFF1^*
M	fichten		wald	fichten		fichtelgebirge
1427810 1427810 \| 18-30f My boyfriend doesn’t like spaghetti.
R	MY1*			THIN-OR-SKINNY1A^*
L		BOYFRIEND-GIRLFRIEND1	$INDEX1*	THIN-OR-SKINNY1A^*	$INDEX1*
M	mein	[MG]		spaghetti	selbst [MG]
1247199 1247199 \| 31-45f I think that they hid it, because they wanted all officers to be dead first, until nobody is left.
R	SHOULD1	DEATH2*	NOT-ANYMORE1A	THIN-OR-SKINNY1A^*
L			NOT-ANYMORE1A	THIN-OR-SKINNY1A^*
M	soll	[MG]		[MG]
1413242 1413242 \| 46-60m Those wood pylons to which the power lines for the streetcars are attached.
R	NET1A^*	CITY2	STREETCAR2C^	THIN-OR-SKINNY1A^*	NET1A^
L	NET1A^*	CITY2		THIN-OR-SKINNY1A^*	NET1A^
M	stadt		strom	[MG]	verbunden
1211752 1211752 \| 18-30f Yes, and the keyboard is really nice and flat.
R				THIN-OR-SKINNY1A^	KEYBOARD1
L				THIN-OR-SKINNY1A^	KEYBOARD1
M
1184145 1184145 \| 61+m And the landscape consists of fir trees because of the Fichtel Mountains.
R	AND2A*	LANDSCAPE1*	PRIMARILY1	THIN-OR-SKINNY1A^	TO-KNOW-STH2A*	$INDEX-ORAL1	$GEST-OFF1^*
L		LANDSCAPE1*	PRIMARILY1	THIN-OR-SKINNY1A^
M	und	landschaft	[MG]	fichte		fichtelgebirge
1431676 1431676 \| 46-60m I don’t do any voluntary work any longer.
R	TO-HONOUR1A	TO-WORK2^*	NOTHING1B*	THIN-OR-SKINNY1A^
L	TO-HONOUR1A	TO-WORK2^*	NOTHING1B*	THIN-OR-SKINNY1A^
M	ehrenamt			null
1211082-13131933-13230433 1211082-… \| 46-60f It said knitting, according to the English pattern.
R	TO-KNIT2C	$PROD	ENGLAND3	THIN-OR-SKINNY1A^
L	TO-KNIT2C			THIN-OR-SKINNY1A^
M	stricken	da	englisch	muster
1427810 1427810 \| 18-30f Surely, my boyfriend can make an exception if I ask him to.
R				THIN-OR-SKINNY1A^*	CAN2A*
L	MY1*	LIFE-PARTNER1	MEANING1*	THIN-OR-SKINNY1A^*	CAN2A*	EXCEPTION1A	LIFE-PARTNER1
M	[MG]			spaghe{tti}	kann	ausnahme	[MG]
= WIRE1 (2 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: wire
by transcript \| by glosses \| by right neighbours \| by left neighbours
1179868 1179868 \| 31-45f There was a fence with some sort of string for the cows.
R	$INDEX1	FENCE1A	COW1*	WIRE1*
L		FENCE1A		WIRE1*
M		zaun	kuh	faden
1419130 1419130 \| 18-30f The cat's gaze falls onto these wires which are spanned between two posts.
R	LIKE3A*	APARTMENT4*	HIGH-RISE2	WIRE1*
L	LIKE3A*	APARTMENT4*	HIGH-RISE2	WIRE1*
M	wie	wohnung		[MG]
= THIN-OR-SKINNY1 (11 tokens)
Mouth: dünn
frontal 45° 90° from above
Translational equivalents: thin (object, not thick); poor in substance; thin (consistency, e.g. thin soup, coffee, or blood)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1291638 1291638 \| 61+m Our teacher didn’t use a ruler but a cane, a slim bamboo stick.
R	BAMBOO1*	ROUND-LONG2A^*	MEASURE-HORIZONTAL4A^*	THIN-OR-SKINNY1*
L	BAMBOO1*	ROUND-LONG2A^*	MEASURE-HORIZONTAL4A^*
M	bambus		dünn
1211082-13131933-13230433 1211082-… \| 46-60f Yes, it is very thin.
R				THIN-OR-SKINNY1*	VERY4*	THIN-OR-SKINNY1
L				THIN-OR-SKINNY1*	VERY4*	THIN-OR-SKINNY1
M					sehr	dünn
1432043 1432043 \| 46-60m Normally, we don’t get real snow, it’s just cold and you get depressive.
R			PROCEEDING1A^*	THIN-OR-SKINNY1*	COLD1	$PROD	STRONG2B*
L			PROCEEDING1A^*	THIN-OR-SKINNY1*	COLD1	$PROD	STRONG2B*
M				[MG]	kalt	depression	[MG]
1211082-13131933-13230433 1211082-… \| 46-60f She also used thin wool with thicker needles; it makes it elastic.
R		$INDEX1	ALSO3A	THIN-OR-SKINNY1*	HEAVY2^*	ROUND6A^	TO-KNIT1
L				THIN-OR-SKINNY1*	HEAVY2^*		TO-KNIT1
M			auch	dünn	wolle	dick	stricknadel»
1429709-16344227-16451821 1429709-… \| 46-60f Now at the youth hostel it was most important to me that the blanket was clean. It was thin though.
R	MAIN-POINT1B*	CLEAN1	BLANKET2	THIN-OR-SKINNY1*
L	MAIN-POINT1B*	CLEAN1	BLANKET2	THIN-OR-SKINNY1*
M	hauptsache	sauber		dünn
1211082-13131933-13230433 1211082-… \| 46-60f There was a really thin kind; with that there will be half of it left over. I didn’t want that.
R			$INDEX1	THIN-OR-SKINNY1	$INDEX1	ALWAYS4A*	$INDEX1*
L				THIN-OR-SKINNY1		ALWAYS4A*	$INDEX1*
M				dünn		immer
1211082-13131933-13230433 1211082-… \| 46-60f Yes, but the wool gets really long and thin.
R			$GEST-NM-NOD-HEAD1^	THIN-OR-SKINNY1
L			$GEST-NM-NOD-HEAD1^	THIN-OR-SKINNY1
M			aber auch	[MG]
1211082-13131933-13230433 1211082-… \| 46-60f Yes, it is very thin.
R		THIN-OR-SKINNY1*	VERY4*	THIN-OR-SKINNY1
L		THIN-OR-SKINNY1*	VERY4*	THIN-OR-SKINNY1
M			sehr	dünn
1211082-13131933-13230433 1211082-… \| 46-60f She glanced at it and said, “Oh, it’s a very fine knitting style, just like a stole.”
R	PIECE-OF-PAPER1	TO-HOLD-PAPER1A	$INDEX1*	THIN-OR-SKINNY1	TO-KNIT1	LIKE3A*	TETRAGON1^*
L	PIECE-OF-PAPER1	TO-HOLD-PAPER1A		THIN-OR-SKINNY1	TO-KNIT1	LIKE3A*	TETRAGON1^*
M	[MG]			[MG]	strick	wie	stola
1250646 1250646 \| 61+f Whenever my father was in Rostock, he would say that the beer there was to thin for him.
R	TO-DRIVE3*	ROSTOCK2		THIN-OR-SKINNY1
L	TO-DRIVE3*	ROSTOCK2	BEER4*	THIN-OR-SKINNY1
M	[MG]	rostock	bier	dünn
1249951 1249951 \| 31-45f Summer is nice, because you don't have to wear lots of clothes - just something light.
R	I1	MUCH1B	TO-DRESS-UPPER-BODY1A*	THIN-OR-SKINNY1	TO-DRESS-UPPER-BODY1A
L			TO-DRESS-UPPER-BODY1A*	THIN-OR-SKINNY1	TO-DRESS-UPPER-BODY1A
M	brauchen nicht	zu viel	anziehen	dünn	[MG]
= THREAD1 (4 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: thread
by transcript \| by glosses \| by right neighbours \| by left neighbours
1247199 1247199 \| 46-60f It's easier to see every little detail with those: you can compare them and check whether they correspond to each other.
R			MORE1	THREAD1*	TO-SEE1	TO-FIND1B*	TO-BELONG1*
L				THREAD1*		TO-FIND1B*	TO-BELONG1*
M			mehr	faden	sieht man		gehört
1291636 1291636 \| 61+m Our neighbors pulled on the rope and while they did, it tore apart.
R			TO-PULL3	THREAD1*	TEAR1A^*
L			TO-PULL3	THREAD1*	TEAR1A^*
M			zieh	fad{en}	[MG]
1582399-11073030-11154047 1582399-… \| 61+f I prepared everything, threaded the needle and I ironed for her.
R		TO-WAG1^	TO-SEW1*	THREAD1*	TO-SEW1	$PROD
L			TO-SEW1*	THREAD1*	TO-SEW1	$PROD	DONE4*
M		nadel	umfädeln				fertig
1582399-11073030-11154047 1582399-… \| 61+f There, I worked with fabrics, bobbins and other stuff and I helped others.
R	FABRIC5	THIS-AND-THAT1	TO-ROLL1A^*	THREAD1*	THIS-AND-THAT1*	TO-HELP1*	MUCH1C*
L	FABRIC5	THIS-AND-THAT1	TO-ROLL1A^*	THREAD1*	THIS-AND-THAT1*	TO-HELP1*
M	stoff	verschieden	spule				viel
= CABLE2 (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: cable; wire
by transcript \| by glosses \| by right neighbours \| by left neighbours
1584545 1584545 \| 18-30f Decorating the house with nutcrackers, Christmas ornaments, and lights and candles.
R	CHRISTMAS4A*	BALL4*		CABLE2*	LAMP1A*	HOUSE1B*	LAMP1A*
L	CHRISTMAS4A*		$GEST-OFF1^*	CABLE2*	LAMP1A*	HOUSE1B*	LAMP1A*
M	weih{nachten}	ball		kabellampe		haus	lampe lampe lampe
= ELECTRIC-LEAD3 (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: line (electric)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1431490 1431490 \| 61+m It climbs up on a post and walks around on the wiring.
R	ROUND-THE-CORNER1^	TO-CLIMB-ROPE1*	$PROD	ELECTRIC-LEAD3*	THROUGH2B	TO-GO3*
L		TO-CLIMB-ROPE1*		ELECTRIC-LEAD3*	THROUGH2B
M	[MG]	[MG]			[MG]
~ NOODLES1B (4 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: noodle
by transcript \| by glosses \| by right neighbours \| by left neighbours
1427810 1427810 \| 18-30m Yes, #Name3 likes spaghetti.
R		$NAME	TO-LIKE2	NOODLES1B*	$INDEX1*
L		$NAME		NOODLES1B*
M		#name3	mag	spaghetti
1584545 1584545 \| 18-30f Do you eat your noodles with regular tomato sauce?
R	TO-SEE1	YOUR1*	$GEST-TO-PONDER1^	NOODLES1B*	YOU1*	USUAL1*	$ALPHA1:T
L				NOODLES1B*
M				nudel	du	normal	tomaten»
1427810 1427810 \| 18-30f I love spaghetti, though.
R				NOODLES1B*	$PROD
L	BUT1	I1*	SELF1A	NOODLES1B*
M	aber	ich	selbst	spaghetti	[MG]
1427810 1427810 \| 18-30f But I love spaghetti.
R				NOODLES1B*	I1
L				NOODLES1B*		LOVE1A*
M				spaghetti		[MG]
~ FRENCH-FRIES1B (1 token)
Mouth: ∅
frontal 45° 90° from above
Translational equivalents: deep fryer; french fries
by transcript \| by glosses \| by right neighbours \| by left neighbours
1428805 1428805 \| 31-45m Don’t you sometimes eat currywurst and fries?
R	SOMETIMES1*	FLIGHT1A*	SEGMENT2A^*	FRENCH-FRIES1B	TO-EAT-OR-FOOD1*
L	SOMETIMES1*	FLIGHT1A*	SEGMENT2A^*	FRENCH-FRIES1B
M	manchmal	[MG]	currywurst	pommes	[MG]
~ NOODLES1A (8 tokens)
Mouth: nudeln
frontal 45° 90° from above
Translational equivalent: noodle
by transcript \| by glosses \| by right neighbours \| by left neighbours
1427810 1427810 \| 18-30m With spätzle?
R				NOODLES1A*	$INDEX1*
L				NOODLES1A*
M				spätzle
1427810 1427810 \| 18-30m Spaghetti.
R				NOODLES1A*	NOODLES2*
L				NOODLES1A*	NOODLES2*
M				spaghetti	spa{ghetti}
1427810 1427810 \| 18-30m I can buy spaghetti.
R			I1	NOODLES1A*	CAN1	I1
L				NOODLES1A*
M				spaghetti
1427810 1427810 \| 18-30m What kind of noodles are you talking about now?
R			YOU1*	NOODLES1A*	OPINION1B	YOU1
L				NOODLES1A*
M			du		meinst du
1427810 1427810 \| 18-30f Bolognese goes well with spätzle, yes.
R		$ALPHA1:B-O-L-O-G-N-E-S-E	TO-MATCH1	NOODLES1A*
L			TO-MATCH1	NOODLES1A*	ALSO1A	YES1A
M		bologne	passt	spätzle	auch	ja
1584545 1584545 \| 18-30f Something, that you also know are noodles. I mean, they are known everywhere. But we make our tomato sauce light-toned by adding milk.
R	ALSO1A	TO-KNOW-STH-OR-SB1A*	TYPICAL1*	NOODLES1A*	CLEAR1A*	TO-KNOW-STH-OR-SB1A^*	EVERYWHERE1
L			TYPICAL1*	NOODLES1A*
M			typ{isch}	nu{deln}	klar	nu{deln}	über{all}
1427810 1427810 \| 18-30f No, not those, spaghetti!
R				NOODLES1A
L			$ALPHA1:M	NOODLES1A	I1*	NOT3A*
M			spätzle
1427810 1427810 \| 18-30f I mostly use Fusilli, but spätzle fit, too, yes.
R				NOODLES1A*
L	$ALPHA1:F	HELIX1^*	ALSO1A	NOODLES1A*	ALSO1A
M	fusilli		auch	spätzle	auch

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Types ID	Gloss	HamNoSys	Mouth
13051	THIN-OR-SKINNY1A^		∅
31409	WIRE1		∅
3826	THIN-OR-SKINNY1		dünn
3838	THREAD1		∅
43931	CABLE2		∅
47902	ELECTRIC-LEAD3		∅
3500	NOODLES1B		∅
3869	FRENCH-FRIES1B		∅
2769	NOODLES1A		nudeln