MEADOW1^

	
	1231

= $ORG-GREEN-PARTY1A (1 token)
	Mouth: grüne
	frontal 45° 90° from above
	Translational equivalent: Greens Party
1179224 hh08 | 31-45f    The green party said that the sheep destroyed everything.
r		REASON4A	$INDEX1	$ORG-GREEN-PARTY1A*	TO-SAY1	$INDEX1	SHEEP2*
l
m		grund		grüne	sagt		schaf
= GREEN1A (14 tokens)
	Mouth: grün
	frontal 45° 90° from above
	Translational equivalent: green
by transcript | by glosses | by right neighbours | by left neighbours
1179224 hh08 | 31-45f    I know that Hamburg is the city with the most green spaces in Germany.
r					$ORAL^
l	HAMBURG1*	AREA1A^*	MOST1B	GREEN1A		AREA1A^*	MOST1B
m	hamburg		meistens	grün	von	deutschland	meistens
1179224 hh08 | 31-45f    We just have the most green spaces here. Hamburg is at the top in that regard.
r			MOST2	GREEN1A	AREA1A^*	HERE1*	SPIKY1A
l
m			meist	grün		hamburg	spitze
1179224 hh08 | 46-60f    Munich has a lot of green spaces; that’s what it’s like in Bavaria.
r						BAVARIA3*
l		MUNICH1A*	MUCH1A	GREEN1A	AREA1A*		AREA1A
m		münchen	viel	grün		bayern
1179224 hh08 | 46-60f    There’s the Reeperbahn, the nightlife, the green areas, the Alster, what else do we have?
r			EVENING2		EVENING2*		$GEST-OFF1^
l		REEPERBAHN1		GREEN1A		CIRCLE2
m		reeperbahn	abend	grün		alster
1183203 stu15 | 61+f    He was supposed to sort them by the colors blue, red, yellow, and green. That’s how we practiced to sign those colors.
r	$LIST1:3of3d	YELLOW1B*	$LIST1:4of4	GREEN1A	$NUM-ONE-TO-TEN1A:4	$GEST-DECLINE1^*
l
m		gelb		grün	vier
1179224 hh08 | 46-60f    So, Hamburg is the greenest, because there are so many trees lining the streets.
r		REASON4A	MORE1*		AVENUE1*
l	CIRCLE2*			GREEN1A*
m	…	grund	mehr	grün
1179224 hh08 | 46-60f    There isn’t that much in the South, but the East is quite green.
r	$PROD	NEXT-TO1A	MUCH1A	GREEN1A*
l
m	…		viel	grün
1179224 hh08 | 46-60f    It will be mandatory to have green spaces within thirty, no, three kilometres of every apartment.
r	KILOMETRE1	PAIR-OF-COMPASSES1B^*	$ORAL^		INVOLVED1A*	MUST1*
l				GREEN1A*
m	kilome{ter}	um{kreis}	muss	grün	dabei	muss
1179224 hh08 | 46-60f    That is the reason for the compulsory green area around rental apartments. The Hammer park is one example of that.
r	APARTMENT2B*	DUTY1*
l			MUST1*	GREEN1A*	PRESENT-OR-HERE1	EXAMPLE1*	$ALPHA1:P-A-K
m	muss	pf{licht} verantwort{lich}	muss	grün		zum beispiel	park
1179224 hh08 | 46-60f    It will be mandatory to have green spaces within three kilometres of every apartment.
r		OUTDOORS1B^	MUST1*		PRESENT-OR-HERE1*
l	$NUM-ONE-TO-TEN1A:3d*			GREEN1A*
m	drei	kilome{ter}	muss	grün	da da da
1179224 hh08 | 46-60f    Hamburg is planning on implementing this and increasing awareness of everything green.
r	POLITICS1	TO-ALTER1*	MORE1*	GREEN1A*	AWARE1*
l
m	politik		mehr	grün	bewusst
1179224 hh08 | 46-60f    But now that’s changing by people fighting for more green. But it will take some time to restore it all.
r	NOW1*	TO-MODIFY1B*	PROTEST1*	GREEN1A*	TO-DEVELOP1A*	TO-CHANGE1B^*	SLOW1*
l
m	jetzt		[MG]	grün		bis{schen}	langsam
1584545 lei11 | 31-45f    On Maundy Thursday, the day before Good Friday, on Maundy Thursday/
r	$ALPHA1:K_2-A-R-F-I-T-A-L	$ALPHA1:K_2-A-R-F	BEFORE1B*	GREEN1A*	THURSDAY1
l
m	karfreitag	karfreitag		gründonnerstag
1584545 lei11 | 31-45f    That's on Maundy Thursday.
r				GREEN1A*	$ALPHA1:D*	THURSDAY1*	$ALPHA1:D
l
m				gründonnerstag
~ GREEN1B (5 tokens)
	 Mouth: grün
	frontal 45° 90° from above
	Translational equivalent: green
by transcript | by glosses | by right neighbours | by left neighbours
1180556 hb02 | 46-60f    Oh, right, the badges, the ones in green, white, I forgot the other ones/
r	$LIST1:1of1d	GREEN12A*	GREEN11*	GREEN1B*	$LIST1:2of2d	WHITE2A*	$LIST1:3of3d
l
m		grün				weiß
1180556 hb02 | 46-60f    First there is green/
r				GREEN1B*	$LIST1:2of2d*
l				$NUM-ONE-TO-TEN1A:2d
m				grün
1180556 hb02 | 46-60f    Mine is green.
r		I1	GREEN12A	GREEN1B*
l
m		ich	grün	grün
1180556 hb02 | 46-60f    My car is fuelled by diesel hence I have a green badge.
r	GREEN12A	STAIN1A^*	I1	GREEN1B*
l
m	grün			grün
1183203 stu15 | 61+f    Later on, he sat in the car with his mother and was able to point at differently colored things outside and show the respective sign for each color.
r		RED1A*	$INDEX1*	GREEN1B*
l	$INDEX1
m	rot			grün