BALL-SPHERE2A^

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L			TO-DIVIDE5*	BALL-SPHERE2A^*	TO-DISTRIBUTE1A*	BALL-SPHERE2A^*	TOGETHER1A*
≙ BALL-SPHERE2A^ (9 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1419607 1419607 \| 61+m And while swimming one worries that it might break, how is that supposed to work?
R	AND3*	FEAR1*	TO-SWIM1	BALL-SPHERE2A^*	TO-BUMP1A*	HOW-QUESTION1*
L	AND3*	FEAR1*	TO-SWIM1			HOW-QUESTION1*
M	und	angst	schwimmen			wie
1418836-15524810-15550340 1418836-… \| 31-45m With 1:1 the fruit taste is the most noticeable.
R	POINT3^*	$NUM-ONE-TO-TEN1A:1d	ORIGINAL2*	BALL-SPHERE2A^*	LIKE-HOW1B*	LIKE-HOW1B*	$ALPHA1:F-#-T_3
L					LIKE-HOW1B*
M	zu	eins	original			wie	frucht
1245154-15360102-15384713 1245154-… \| 31-45m Then, you start adding the minced meat bit by bit and mix it in with the tomato purée.
R				BALL-SPHERE2A^	$PROD	TO-MIX2*
L						TO-MIX2*	$PROD
M				hackfleisch			hackfleisch
1177640 1177640 \| 46-60m Everyone gets a pear and they keep walking.
R			TO-DIVIDE5*	BALL-SPHERE2A^*	TO-DISTRIBUTE1A*	BALL-SPHERE2A^*	TOGETHER1A*
M			teilen	verteilen			zus{ammen}
1177640 1177640 \| 46-60m Everyone gets a pear and they keep walking.
R	TO-DIVIDE5*	BALL-SPHERE2A^*	TO-DISTRIBUTE1A*	BALL-SPHERE2A^*	TOGETHER1A*	TO-GO1A*
L	TO-DIVIDE5*	BALL-SPHERE2A^*	TO-DISTRIBUTE1A*	BALL-SPHERE2A^*	TOGETHER1A*
M	teilen	verteilen			zus{ammen}	[MG]
1427810 1427810 \| 18-30f I love broccoli.
R							SOLID1*
L				BALL-SPHERE2A^	I2	LOVE1A*
M				brokkoli		[MG]	fest
1427810 1427810 \| 18-30f Yes, I mean cauliflower.
R		YES2
L			CLEAR1A*	BALL-SPHERE2A^*
M		[MG]	klar	blumenkohl
1427810 1427810 \| 18-30f They’re made from white cabbage, broccoli, carrots and/
R	INCLUSIVE1^		CABBAGE1			CARROT3A*	$GEST^
L	INCLUSIVE1^	WHITE1D	CABBAGE1	BALL-SPHERE2A^*	$NUM-ONE-TO-TEN1A:3d*	CARROT3A*	$GEST^
M	zusammen	weißkohl		brokkoli		möhren
1427810 1427810 \| 18-30f Right, so it’s white, eh … cauliflower, broccoli and pepper/
R	$NUM-ONE-TO-TEN1B:2d*				AND2A*	$NUM-ONE-TO-TEN1B:3d	CONTENT1*
L		PLANT1^*	$ALPHA1:B	BALL-SPHERE2A^*	AND2A*		CONTENT1*
M		brokkoli			und		paprika»
= APPLE1 (3 tokens)
Translational equivalent: apple
by transcript \| by glosses \| by right neighbours \| by left neighbours
1246329 1246329 \| 61+m An apple! That was very unusual, as most trees were destroyed.
R			PAST-OR-BACK-THEN1*	APPLE1	$GEST-NM-SHAKE-HEAD1^	TO-KNOW-STH-OR-SB1B*	TO-COLLAPSE3*
L					$GEST-NM-SHAKE-HEAD1^		TO-COLLAPSE3*
M				apfel		kennt man nicht	[MG]
1246329 1246329 \| 61+m One day a friend came around at noon and gave me an apple.
R	$INDEX1*		TO-GIVE1*	APPLE1
L	$INDEX1*	TO-COME3*
M	spielkamerad			apfel
1246329 1246329 \| 61+m I was so happy about it.
R
L				APPLE1
M				[MG]
= BALL4 (1 token)
Translational equivalent: ball (sphere)
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	$GEST-OFF1^*		CHRISTMAS4A*	BALL4*		CABLE2*	LAMP1A*
L	$GEST-OFF1^*	$GEST^*	CHRISTMAS4A*		$GEST-OFF1^*	CABLE2*	LAMP1A*
M			weih{nachten}	ball		kabellampe
= POTATO5A (2 tokens)
Translational equivalent: potato
by transcript \| by glosses \| by right neighbours \| by left neighbours
1211515 1211515 \| 61+m You had to gather potatoes as well?
R		BACK-THEN1*	ALSO1A	POTATO5A*	TO-GRAB1A^*	YOU1*
L
M		auch	auch	kartoffel	aus{heben}
1211515 1211515 \| 61+m Or the times I had to help the farmer dig up potatoes on the fields.
R	CAN1^*	$INDEX1	TO-HELP1	POTATO5A*	TO-GRAB1A^	$LIST1:2of2d
L			TO-HELP1			$LIST1:2of2d
M	bauern		helfen	kartoffel	ausheben
= COAL2 (2 tokens)
Translational equivalent: coal
by transcript \| by glosses \| by right neighbours \| by left neighbours
1177704-14384449-14403422 1177704-… \| 46-60m I just take the charcoal and put it on the grill.
R		EASY1	WOOD11	COAL2*	TO-THROW1^*
L		EASY1	WOOD11
M		einfach	holzkohle		[MG]
1430328 1430328 \| 31-45f There hasn’t been any coal for a long time now.
R		ALREADY1A	PAST1^*	COAL2	FINISHED-EMPTY6	NO3B^*	NOTHING1A^
L		ALREADY1A			FINISHED-EMPTY6	NO3B^*	NOTHING1A^
M			[MG]	kohle	alle		alle
= FRUIT3 (1 token)
Translational equivalent: fruit
by transcript \| by glosses \| by right neighbours \| by left neighbours
1290126 1290126 \| 31-45m When they told me that, I was surprised and asked what it was like with the fruit there, what kind of choices they had.
R	LIKE-THIS1A*	HIS-HER1	WHAT-DOES-IT-LOOK-LIKE1*	FRUIT3
L
M	so		wie sieht aus	obst
= TOMATO2A (7 tokens)
Translational equivalent: tomato
by transcript \| by glosses \| by right neighbours \| by left neighbours
1249280-16043122-16070610 1249280-… \| 46-60f The really small ones and the beef tomatoes.
R		ROUND6A^	$GEST-TO-PONDER1^*	TOMATO2A*	$PROD	AND2B*	TOMATO1B
L						AND2B*	TOMATO1B
M				tomate	[MG]	und	fleischtomaten
1249280-16043122-16070610 1249280-… \| 46-60f Otherwise the tomatoes will turn out very small, and that’s not supposed to happen.
R		OTHERWISE1*	TO-COME1*	TOMATO2A*	$PROD	BAD-OR-STALE1	NOT3A*
L
M		sonst	kommt	toma{te}	[MG]
1249280-16043122-16070610 1249280-… \| 46-60f Then I take the bread, add butter, the tomato and some garlic.
R		BREAD5B*	BUTTER2*	TOMATO2A*	TO-PART-TO-CHOP1*	GARLIC5*	TO-CUT9*
L		BREAD5B*	BUTTER2*		TO-PART-TO-CHOP1*		TO-CUT9*
M		brot	butter	tomate		knoblauch
1249280-16043122-16070610 1249280-… \| 46-60f Tomatoes always need to be watered well.
R			YOU1	TOMATO2A	ALWAYS4A*	MEANING1*	TO-POUR-OR-TO-WATER1B
L
M				tomate	immer		gießen
1245154-15360102-15384713 1245154-… \| 31-45m Then I add the tomato purée to the now empty space.
R	AREA1B*	DRY2A	LEAF3^	TOMATO2A	TUBE1^*	I1
L	AREA1B*	DRY2A	LEAF3^		TUBE1^*
M		trocken		tomatenmark
1428805 1428805 \| 31-45m For instance you can see the difference between an organic and an organic tomato/
R	CAN1	TO-SEE1	YOU1*	TOMATO2A
L					$INDEX1	YOU1*	ORGANIC1
M	kann	sehen		tomate			bio
1249280-16043122-16070610 1249280-… \| 46-60f Right, first, I have to buy tomato seeds.
R	$GEST-I-DONT-KNOW1^*	FIRST1A	I1*	TOMATO2A*	SEED6A*	TO-BUY1A	I1*
L	$GEST-I-DONT-KNOW1^*			TOMATO2A*		TO-BUY1A
M		zuerst		tomaten	samen	kaufen
= ONION2A (1 token)
Translational equivalents: bulb; onion
by transcript \| by glosses \| by right neighbours \| by left neighbours
1245154-15360102-15384713 1245154-… \| 31-45m Then, I finely chop up the onions.
R			I2*	ONION2A	TO-PART-TO-CHOP1^*	THIS-AND-THAT1^
L						THIS-AND-THAT1^
M			und	zwiebel [MG]		[MG]
~ STONE2A (6 tokens)
Translational equivalent: stone
by transcript \| by glosses \| by right neighbours \| by left neighbours
1246329 1246329 \| 61+m What does Lithography mean in comparison to other printers?
R		WHAT2*	MEANING1*	STONE2A*	STONE2A	TO-PRINT1	DIFFERENT2*
L						TO-PRINT1	DIFFERENT2*
M		was	bedeutet		steindrucker		andere
1427810 1427810 \| 18-30m They threw small stones rather than salt.
R	NOT3A	SALT1B*	$GEST-NM-SHAKE-HEAD1^	STONE2A*	ALL1A*	THATS-ALL1A	TO-SCATTER3
L			$GEST-NM-SHAKE-HEAD1^			THATS-ALL1A
M		salz		stein
1292125 1292125 \| 46-60m If you throw a stone it should fall more slowly.
R		$INDEX1*	IF-OR-WHEN1A	STONE2A	TO-THROW1*	MUST1*	$PROD
L
M			wenn	stein	werfen	muss	langsam
1246329 1246329 \| 61+m What does Lithography mean in comparison to other printers?
R	WHAT2*	MEANING1*	STONE2A*	STONE2A	TO-PRINT1	DIFFERENT2*	TO-PRINT1
L					TO-PRINT1	DIFFERENT2*	TO-PRINT1
M	was	bedeutet		steindrucker		andere	druck
1431224 1431224 \| 31-45m Doctor Steinbach gave me all these injections.
R	PERSON1	SELF1A*	DOCTOR1	STONE2A	WAY-COURSE2^
L			DOCTOR1		WAY-COURSE2^
M	selbst		doktor	steinbach
1428821-16453820-16510849 1428821-… \| 31-45m I usually always lay a heavy stone on top so it’ll stick better.
R	I2	HEAVY1B*	HEAVY2C*	STONE2A*	$PROD
L		HEAVY1B*	HEAVY2C*	STONE2A*
M	stamm	schwer	schwer		[MG]
~ VEGETABLE8 (1 token)
Translational equivalent: vegetables
by transcript \| by glosses \| by right neighbours \| by left neighbours
1427810 1427810 \| 18-30f Or broccoli.
R					THIS2
L		I1	THIS2*	VEGETABLE8*		WHATS-THAT-FOR1*
M			die{se}	brokkoli		[MG]

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