BALL-SPHERE1B^

	
	726

≙ BALL-SPHERE1B^ (24 tokens)
by transcript | by glosses | by right neighbours | by left neighbours
1249542 goe10 | 46-60m    There was a lot of bass, I could tell through the vibration on an balloon.
r			TO-VIBRATE2^*	BALL-SPHERE1B^	ALREADY1A*	$PROD
l
m			[MG]	luftballon	schon	[MG]
1211082-… stu01 | 46-60f    One of those balls; that should be enough for a stole.
r			$NUM-ONE-TO-TEN1A:1d	BALL-SPHERE1B^	MUST1*	MUST1*	TETRAGON1^*
l
m			ein			muss	stola
1211082-… stu01 | 46-60f    I think the ball/
r			TO-BELIEVE2A*	BALL-SPHERE1B^
l
m			glaube	[MG]
1428038 koe05 | 46-60m    Because of the weightlessness, it is hard to remain in orbit.
r				BALL-SPHERE1B^	TO-SPIN1B^*	$PROD	TO-SPIN1B^*
l
m				mond	[MG]	[MG]	[MG]
1184536 nue03 | 31-45m    How could we have millions of words in our heads?
r	$INDEX1	$PROD	$INDEX1	BALL-SPHERE1B^	$PROD	MOUNTAIN1A^*	WORD3*
l
m				[MG]			wort
1184756 nue04 | 18-30f    There is a variety of different badges: one has, for example, a plus on it, and another one has this Yin and Yan symbol on it. You know, the one with the curved lines and the two dots in the middle?
r	$GEST-TO-PONDER1^	$ALPHA1:Y-I-N-G-Y-A-N-G	$PROD	BALL-SPHERE1B^	ROUND-BALL2^*	BALL-SPHERE1B^*	$PROD
l
m		ying-yang			wie
1428805 koe08 | 31-45m    A lot of people look for clean, round and big apples.
r	CLEAN1	ROUND-BALL1^	$PROD	BALL-SPHERE1B^	SOLID1A^
l
m	sauber	[MG]	[MG]	groß
1428805 koe08 | 31-45m    So it was round and thick.
r			TO-GET1B^	BALL-SPHERE1B^
l
m				[MG]
1292125 mst13 | 46-60m    If people were only at the backside of the moon, they weren't able to see the earth, because the moon doesn't rotate.
r	IF-OR-WHEN1A	ROUND6A^*	HUMAN2*	BALL-SPHERE1B^	ONLY2A*	ROUND-THE-CORNER1^*	TO-BE-CALLED1B
l
m	wenn		men{sch}	mond		hinter	heißt
1292125 mst13 | 46-60m    If people were only at the backside of the moon, they weren't able to see the earth, because the moon doesn't rotate.
r	NOT3A*	TO-SEE1*	ATTENTION1A^*	BALL-SPHERE1B^	NOT3A*	TO-SPIN1*
l
m	nicht	sehen		mond	nicht	drehen
1413703 ber02 | 46-60m    They sell t-shirts with prints on them, for example with elephants on them, or souvenirs and other stuff.
r	$CUED-SPEECH*	$INDEX1	TO-THINK1A	BALL-SPHERE1B^	BIG3C
l
m	…		denkmal
1584545 lei11 | 31-45f    Then we have cake, plum cake usually. [Informant actually intended “Pfannkuchen“, a regional name for a traditional German pastry, usually filled with jam, e.g. plum jam, similar to a doughnut, other regional names are Berliner/Krapfen/Kräppel]
r	THEN1B	CAKE4	REGULAR2A	BALL-SPHERE1B^	$ALPHA1:P-F-#*	BALL-SPHERE1B^	$PROD
l
m		kuchen	stamm	pflaumenkuchen	pflaumenkuchen
1584545 lei11 | 31-45f    Then we have cake, plum cake usually. [Informant actually intended “Pfannkuchen“, a regional name for a traditional German pastry, usually filled with jam, e.g. plum jam, similar to a doughnut, other regional names are Berliner/Krapfen/Kräppel]
r	REGULAR2A	BALL-SPHERE1B^	$ALPHA1:P-F-#*	BALL-SPHERE1B^	$PROD
l
m	stamm	pflaumenkuchen	pflaumenkuchen
1584545 lei11 | 18-30f    In the plum-/
r				BALL-SPHERE1B^	IN1*	YOU1
l
m				pflaumen
1584545 lei11 | 31-45f    Yes, in there is mustard in the Pfannkuchen.
r		IN1*	MUSTARD2	BALL-SPHERE1B^
l
m		in	senf	im pfannkuchen
1584545 lei11 | 31-45f    On New Years Eve and November 11th we have Pfannkuchen with mustard.
r	$NUM-TEEN2C:1d*	$NUM-TEEN2C:1d*	BOTH2A	BALL-SPHERE1B^	WITH1A	MUSTARD2
l
m	elf	elf	beide	pfannku{chen}	mit	senf
1584545 lei11 | 31-45f    I just recently ate Pfannkuchen with my colleagues which my boss bought us.
r	$INDEX1	BOSS5*	TO-BUY1A	BALL-SPHERE1B^	$GEST-DECLINE1^
l
m		chef	kauf	pfann{kuchen}
1584545 lei11 | 31-45f    He got one filled with mustard twice!
r				BALL-SPHERE1B^	$GEST^*	PIECE2^	$NUM-ONE-TO-TEN1A:2
l
m				pfann{kuchen}	[MG]		zweimal
1184756 nue04 | 18-30f    There is a variety of different badges: one has, for example, a plus on it, and another one has this Yin and Yan symbol on it. You know, the one with the curved lines and the two dots in the middle?
r	CROSS1B	OR1*	$GEST-TO-PONDER1^	BALL-SPHERE1B^*	$GEST-TO-PONDER1^	$ALPHA1:Y-I-N-G-Y-A-N-G	$PROD
l
m	kreuz	oder				ying-yang
1184756 nue04 | 18-30f    There is a variety of different badges: one has, for example, a plus on it, and another one has this Yin and Yan symbol on it. You know, the one with the curved lines and the two dots in the middle?
r	$PROD	BALL-SPHERE1B^	ROUND-BALL2^*	BALL-SPHERE1B^*	$PROD	BALL-SPHERE5
l
m			wie
1428805 koe08 | 31-45m    It was sent to the lab and I had to wait to see whether it was benign or malignant.
r				BALL-SPHERE1B^*	$INDEX1	LABORATORY1
l							TO-THROW1^*
m				[MG]		labor
1179868 hb06 | 46-60m    I'd rather fly to the moon.
r	RATHER1*	YOU1*	RATHER1	BALL-SPHERE1B^*	$INDEX1
l
m	l{ieber}		lieber	mond
1211082-… stu01 | 46-60f    Do it with thick wool; that’s chic!
r				BALL-SPHERE1B^*	WOOL5*	$PROD	TO-RISE1^
l
m				dicke	wolle	[MG]	[MG]
1582654 lei03 | 18-30m    You can take another elevator to the second and smaller pod.
r			THIN-OR-SKINNY2	BALL-SPHERE1B^*
l	$INDEX1	LIFT2
m			[MG]
= BALL-SPHERE1 (17 tokens)
	Mouth: kugel
	frontal 45° 90° from above
	Translational equivalent: ball
by transcript | by glosses | by right neighbours | by left neighbours
1180558-… hb02 | 46-60f    From those boxes, I take the balls for the Christmas tree.
r				BALL-SPHERE1	TO-GET1A*
l
m				kugel	hole hole hole
1419122 ber09 | 18-30f    The cat balances the bowling ball in its belly and rolls away.
r			$PROD	BALL-SPHERE1	TO-GO-THERE1*
l		$INDEX1
m			[MG]
1413234 stu07 | 46-60m    With the ball in its stomach, it rolls down the street at breakneck speed.
r			$INDEX1	BALL-SPHERE1	LIKE3B	TO-ROLL1A	$PROD
l
m				kugel	wie	rollen	[MG]
1210763 mue04 | 18-30m    It was really beautiful there and they had a lot of blowfish there.
r	$INDEX1	THERE-IS3	WHAT1B*	BALL-SPHERE1	FISH1*	$GEST-OFF1^*
l
m	…	gibt		kugelfisch
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r				BALL-SPHERE1	FISH1	$INDEX1*	REALLY2*
l					BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m				kugelfisch
1249376 goe10 | 46-60m    I don’t know if the container lasts forever down there.
r			ALARM-CLOCK1^	BALL-SPHERE1	DOWN1	$GEST-OFF1^	DOWN1
l
m				[MG]
1984202 koe21 | 61+m    The bird sees what the cat is doing and throws a bowling ball into the top of the pipe.
r	TO-SEE1*	$GEST-DECLINE1^*	BOWLING3*	BALL-SPHERE1*	$PROD	INTO2*
l
m	[MG]		bowling		[MG]
1413234 stu07 | 46-60m    Quickly, it grabs a bowling ball.
r	$GEST^	$INDEX1	TO-GET1A*	BALL-SPHERE1*	BOWLING2*	BALL-SPHERE1*
l
m			holen		bowling	kugel
1413234 stu07 | 46-60m    Quickly, it grabs a bowling ball.
r	TO-GET1A*	BALL-SPHERE1*	BOWLING2*	BALL-SPHERE1*
l
m	holen		bowling	kugel
1413234 stu07 | 46-60m    It has swallowed the bowling ball and now has a big round belly.
r	GOOD1	TO-SWALLOW1	CAT1A*	BALL-SPHERE1*	INSIDE1B	BOWLING2	$PROD
l
m			katze	[MG]		bowlingkugel
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r			BALL-SPHERE1	FISH1	$INDEX1*	REALLY2*	VERY6
l				BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m			kugelfisch				[MG]
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r		BALL-SPHERE1	FISH1	$INDEX1*	REALLY2*	VERY6	POISON4
l			BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m		kugelfisch				[MG]	giftig
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r	BALL-SPHERE1	FISH1	$INDEX1*	REALLY2*	VERY6	POISON4	$GEST-OFF1^*
l		BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m	kugelfisch				[MG]	giftig
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r	FISH1	$INDEX1*	REALLY2*	VERY6	POISON4	$GEST-OFF1^*	$INDEX1*
l	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m	…			[MG]	giftig
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r	$INDEX1*	REALLY2*	VERY6	POISON4	$GEST-OFF1^*	$INDEX1*	CAN2A
l	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m	…		[MG]	giftig			kann man
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r	REALLY2*	VERY6	POISON4	$GEST-OFF1^*	$INDEX1*	CAN2A	NOT3A
l	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m		[MG]	giftig			kann man	nicht
1210763 mue04 | 18-30m    Because blowfish are actually poisonous and you usually can't eat them, you have to have a cook who is specifically trained to prepare that fish dish for you.
r	VERY6	POISON4	$GEST-OFF1^*	$INDEX1*	CAN2A	NOT3A	TO-EAT-OR-FOOD2*
l	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*	BALL-SPHERE1*
m	[MG]	giftig			kann man	nicht
= BALL3 (2 tokens)
	Mouth: ball
	frontal 45° 90° from above
	Translational equivalents: ball; ball
by transcript | by glosses | by right neighbours | by left neighbours
1250721 mvp06 | 61+m    Or we would go skating around the playground on roller skates and played ball games.
r	TO-ROLL1B	ROLLER-SKATE1B	TO-PLAY1*	BALL3
l
m	…	[MG]	spiel	ball
1428805 koe08 | 31-45m    But I was wrong about that, it was big. Bigger than a tennis ball.
r	BIG3B	AS3	TENNIS2	BALL3*
l
m	größer	als	tennisball
= CABBAGE2B (5 tokens)
	Mouth: kohl
	frontal 45° 90° from above
	Translational equivalent: cabbage
by transcript | by glosses | by right neighbours | by left neighbours
1432043 sh08 | 46-60m    Festivals about cabbage are very typical in that area.
r	NEXT-TO3	TERRITORY1	TYPICAL1*	CABBAGE2B*	CELEBRATION1A*	$INDEX1
l
m		holsteingebiet	typisch	kohlfest
1432043 sh08 | 46-60m    There’s a cabbage queen who wears a special dress.
r		DRESS1*	$INDEX1	CABBAGE2B*	KING1A	POISE-BODY1^*
l
m				kohlkönigin
1180339-… hb01 | 31-45m    It is called “Grünkohl mit Pinkel” [curly-leafed kale and a special kind of sausage; uses the sign for “Penis”].
r			NAME1B	CABBAGE2B*	AND2A	PENIS1^
l
m			name	kohl	und	pinkel
1180339-… hb01 | 31-45m    Curly-leafed kale is really delicious; it is exclusively typical during that time.
r				CABBAGE2B*	IN-ADDITION1*	HERE1	TASTY1
l
m				kohl			lecker
1180339-… hb01 | 31-45m    We have several games at our cabbage walks, though.
r	DIFFERENCE1B	JOURNEYMAN1	BUT1	CABBAGE2B*	JOURNEYMAN1	TO-PLAY1	DIFFERENCE1B
l
m	[MG]	gesellschaft	aber	kohl	gesellschaftsspiel		[MG]
= COAL1B (3 tokens)
	Mouth: kohle
	frontal 45° 90° from above
	Translational equivalent: coal
by transcript | by glosses | by right neighbours | by left neighbours
1584545 lei11 | 31-45f    Brown or black coal.
r			STONE-$CANDIDATE-LEI30^	COAL1B	TETRAGON10^*	OR1*	BROWN6*
l
m			steinkohle			oder	braunkohle
1427725 koe03 | 18-30m    The eyes were made up with black coal so they would turn dark.
r			$PROD	COAL1B*	TO-PUT-MAKE-UP-ON1*	DARK2	$PROD
l
m				kohle	[MG]	dunkel
1584545 lei11 | 31-45f    Back in the day you needed the coal, to heat the oven.
r	CLEAR1A*	STOVE2*	TO-NEED1	COAL1B*	TETRAGON10^	TO-THROW1*	STOVE2*
l
m	klar	ofen	brauch		kohle		ofen
= FRUIT2B (1 token)
	Mouth: obst
	frontal 45° 90° from above
	Translational equivalent: fruit
1419931 ber12 | 31-45f    And the food! There are lots of fruits and vegetables.
r		TO-EAT-OR-FOOD2	MUCH1A	FRUIT2B	VEGETABLE2A	EVERYTHING2*	PRESENT-OR-HERE1*
l
m		[MG]	viel	obst	gemüse	[MG]
= STONE7 (1 token)
	Translational equivalent: stone
1289658-… mst02 | 18-30f    His bike hits a rock in front of him and he falls to the ground.
r		$INDEX1*	BICYCLE1*	STONE7*	$PROD
l						TO-FALL2A*
m			fahrrad	stein	[MG]	[MG]
= TOMATO1B (8 tokens)
	Mouth: tomate
	frontal 45° 90° from above
	Translational equivalent: tomato
by transcript | by glosses | by right neighbours | by left neighbours
1582642 lei03 | 18-30m    She is slicing tomatoes.
r			TO-CUT9*	TOMATO1B	TO-CUT9*
l
m			[MG]	tomate
1249280-… goe09 | 46-60f    There are many different kinds of tomatoes, really small ones, medium-size and beef tomatoes.
r		THERE-IS3*	DISTINCT1	TOMATO1B	SMALL12*	OR4A*	TOMATO1B
l
m		gibt	verschie{den}	tomate	[MG]	oder	groß
1249280-… goe09 | 46-60f    There are many different kinds of tomatoes, really small ones, medium-size and beef tomatoes.
r	TOMATO1B	SMALL12*	OR4A*	TOMATO1B	OR4A*	MEAT14A*	TOMATO1B*
l
m	tomate	[MG]	oder	groß	oder	fleischtomaten
1249280-… goe09 | 46-60f    The really small ones and the beef tomatoes.
r	TOMATO2A*	$PROD	AND2B*	TOMATO1B	I1*
l
m	tomate	[MG]	und	fleischtomaten	ich
1428805 koe08 | 31-45m    I noticed that some of the tomatos there are shaped oddly.
r	I1	THERE1	$INDEX1	TOMATO1B	$PROD
l
m			[MG]	tomate
1249280-… goe09 | 46-60f    In the store, I have to search for a bit.
r	I1*	ENTRANCE1*	TO-SEARCH1*	TOMATO1B*
l
m			suchen	{to}mat
1249280-… goe09 | 46-60f    There are many different kinds of tomatoes, really small ones, medium-size and beef tomatoes.
r	TOMATO1B	OR4A*	MEAT14A*	TOMATO1B*	$GEST-OFF1^
l
m	groß	oder	fleischtomaten
1249280-… goe09 | 46-60f    I have two favorites:
r				TOMATO1B*	I1	TO-LIKE4*	TO-LOVE-STH1
l
m					[MG]	mag