ROOT4A^

	
	48

≙ ROOT4A^ (1 token)
1176624 hh01 | 61+m    I needed baloney, gherkins and so on.
r	SAUSAGE1B	THIS-AND-THAT1^	PICKLED-GHERKINS1B*	ROOT4A^*	PICKLED-GHERKINS1B
l
m	…	[MG]	gewürzgurke
= ASPARAGUS1A (11 tokens)
	Mouth: spargel
	frontal 45° 90° from above
	Translational equivalent: asparagus
by transcript | by glosses | by right neighbours | by left neighbours
1248625-… goe06 | 31-45f    Definitely not for asparagus.
r				ASPARAGUS1A	NO2B*
l
m				spargel
1419931 ber12 | 31-45f    During asparagus season, we go to Beelitz.
r				ASPARAGUS1A	SEGMENT2B^	I1	TO-DRIVE3
l
m				spargelsaison			[MG]
1248625-… goe06 | 31-45f    And third, asparagus, yes, asparagus.
r		AND5	$LIST1:3of3d	ASPARAGUS1A	ASPARAGUS1A
l
m		und	dr{ittens}	spargel
1248625-… goe06 | 31-45f    And third, asparagus, yes, asparagus.
r	AND5	$LIST1:3of3d	ASPARAGUS1A	ASPARAGUS1A
l
m	und	dr{ittens}	spargel
1248625-… goe06 | 31-45f    Asparagus?
r				ASPARAGUS1A	ASPARAGUS2*
l
m				spargel	spargel
1248625-… goe06 | 31-45f    There used to be a little factory that produced asparagus.
r				ASPARAGUS1A	PAST-OR-BACK-THEN1*	SMALL11	BEEN2A*
l
m				spargel	früh	klein
1220196-… hb05 | 61+f    Last time, we went to eat asparagus.
r	ASPARAGUS1B	TO-EAT-OR-FOOD2*	ASPARAGUS1B	ASPARAGUS1A*
l
m	spargel		s{pargel}
1220196-… hb05 | 61+f    We went to go eat asparagus.
r				ASPARAGUS1A*	ASPARAGUS1A*	TO-EAT-OR-FOOD1*	TO-THERE1^*
l
m				spargel	spargel	essen	[MG]
1220196-… hb05 | 61+f    We went to go eat asparagus.
r			ASPARAGUS1A*	ASPARAGUS1A*	TO-EAT-OR-FOOD1*	TO-THERE1^*
l
m			spargel	spargel	essen	[MG]
1419931 ber12 | 31-45f    Same with me, but I like asparagus a lot.
r	$GEST-NM-SHAKE-HEAD1^	I2	NOT3A	ASPARAGUS1A*	I2	TASTY1*
l
m		auch	noch nicht	spargel		[MG]
1419931 ber12 | 31-45f    Yes, asparagus is tasty.
r				ASPARAGUS1A*	TASTY1
l
m				spargel	[MG]
= CARROT3A (2 tokens)
	Mouth: möhre
	frontal 45° 90° from above
	Translational equivalents: carrot; carrot; carrot
by transcript | by glosses | by right neighbours | by left neighbours
1427810 koe04 | 18-30f    Carrots are in there, everything is mixed up and/
r		$NUM-ONE-TO-TEN1B:4d		CARROT3A	$PROD		TO-MIX3*
l			THEN1A*			MOST1B*
m			dann	möhren	[MG]	meisten{s}	misch
1427810 koe04 | 18-30f    They’re made from white cabbage, broccoli, carrots and/
r	CABBAGE1			CARROT3A*	$GEST^
l		BALL-SPHERE2A^*	$NUM-ONE-TO-TEN1A:3d*
m	…	brokkoli		möhren
= VEGETABLE2A (2 tokens)
	Mouth: gemüse
	frontal 45° 90° from above
	Translational equivalent: vegetables
by transcript | by glosses | by right neighbours | by left neighbours
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*	$GEST-OFF1^
l
m	[MG]	viel	obst	gemüse	[MG]
1427810 koe04 | 18-30m    That’s like Kaisergemüse [vegetable mix].
r		$INDEX1	EMPEROR1A*	VEGETABLE2A*
l
m		kaisergemüse