GREEN2^



≙ GREEN2^
Göttingen \| dgskorpus_goe_05 \| 31-45m The social party — SPD [Social Democratic Party], the CDU [Christian Democratic Union of Germany], The Greens; there are so many different parties.
r	$ALPHA-SK:S	$ALPHA1:C	$CUED-SPEECH^*	GREEN2^	THIS-AND-THAT3^*	$GEST-OFF^
l					THIS-AND-THAT3^*	$GEST-OFF^
m	s-p-d	c-d-u	die grünen		[MG]
Göttingen \| dgskorpus_goe_05 \| 31-45m In the papers it looks like The Greens are a little bit in the lead at the moment.
r	MAYBE4*	ABOVE2A^*	$CUED-SPEECH^*	GREEN2^
l		ABOVE2A^*
m	vielleicht	mehr	die grünen
Göttingen \| dgskorpus_goe_05 \| 31-45m Though I believe that they won't receive a much higher number of votes than previously in the end.
r	NOT3A	MUCH-OR-MANY1A*	$CUED-SPEECH^*	GREEN2^	ABOVE2A^*
l					ABOVE2A^*
m	nicht	so viel	die grünen		mehr
Göttingen \| dgskorpus_goe_05 \| 31-45m Sure, The Greens have a few more voters, yes, but/
r			$CUED-SPEECH^*	GREEN2^	$ORAL^	MORE6*	YES2
l					$ORAL^
m			die grünen		etwas	mehr	ja
= GREEN2
Münster \| dgskorpus_mst_01 \| 46-60m You might know that The Green Party gained many votes at the election in Baden-Wuerttemberg.
r	$ALPHA1:W	MOUNTAIN1A*	WEIRD1*	GREEN2	TO-RAISE1B
l		MOUNTAIN1A*	WEIRD1*		TO-RAISE1B
m	…		[MG]	grüne	[MG]
Münster \| dgskorpus_mst_01 \| 46-60m They gain more and more votes.
r				GREEN2	STRONG2A	TO-RAISE1B
l					STRONG2A	TO-RAISE1B
m				grüne	stark
Münster \| dgskorpus_mst_01 \| 46-60m Maybe you read in the papers how they call her the „green“ chancellor.
r	NEWSPAPER1A	TO-LOOK-AT1*	YOU1*	GREEN2	ASSOCIATION1A	CHANCELLOR3	$GEST-OFF^
l	NEWSPAPER1A				ASSOCIATION1A		$GEST-OFF^
m	zeitung	gesehen		grüne	bundeskanzler
Göttingen \| dgskorpus_goe_05 \| 31-45m But surely The Greens get more votes.
r			$CUED-SPEECH^*	GREEN2*	SECURE1*	MORE7A*	$GEST-OFF^*
l					SECURE1*
m			{die} grünen		sicher	mehr
Köln (Cologne) \| dgskorpus_koe_08 \| 31-45m It’s usually a green box like this, which contains many different things and materials.
r	$GEST-NM-NOD-HEAD1^	SQUARE2*	TO-KNOW-STH-OR-SB1A*	GREEN2*	SQUARE2*	$PROD	$INDEX1*
l	$GEST-NM-NOD-HEAD1^	SQUARE2*			SQUARE2*	$PROD
m		[MG]	k{enn}	grün
Köln (Cologne) \| dgskorpus_koe_15 \| 31-45m The landscape around the place I live is stunning, very green and hilly.
r	VERY6*	$PROD	STRONG1B	GREEN2*	$PROD	MUCH-OR-MANY5	MOUNTAIN1A*
l		$PROD	STRONG1B		$PROD
m	[MG]	landschaft	stark	grün		viel	berg berg berg
Münster \| dgskorpus_mst_01 \| 46-60m They slowly catch up with the SPD [Social Democratic Party] and CDU [Christian Democratic Union].
r			$ALPHA-SK:S*	GREEN2*	$ALPHA1:C*	$INDEX1*	DIFFERENCE2^
l							DIFFERENCE2^
m			s-p-d	grüne	c-d-u
Münster \| dgskorpus_mst_01 \| 46-60m „Green“ in quotation marks, for Mrs. Merkel.
r				GREEN2*	QUOTATION-MARKS1	WOMAN1A*	HAIR4^*
l					QUOTATION-MARKS1
m				grün		frau	merkel
Münster \| dgskorpus_mst_02 \| 18-30f Nowadays GREEN is signed like that.
r		NOW3*	TO-CHANGE2B	GREEN2*
l
m		jetzt		grün
Münster \| dgskorpus_mst_02 \| 18-30f Others have started to sign GREEN, but I still use this sign for it.
r	I2*	$INDEX1	TO-SIGN1B*	GREEN2*	I2*	GREEN49A*
l			TO-SIGN1B*			GREEN49A*
m				grün		grün
Münster \| dgskorpus_mst_02 \| 18-30f They used to happily sign GREEN like that, now they changed it to that.
r	GREEN49A*	THEN1A	TO-SWAP3A	GREEN2*
l	GREEN49A*		TO-SWAP3A
m	grün grün	dann		grün
Münster \| dgskorpus_mst_02 \| 18-30f My granny uses this to sign GREEN.
r			$INDEX1
l				GREEN2*
m				grün
Münster \| dgskorpus_mst_06 \| 31-45m Yes, the scenery is very green over there.
r				GREEN2*		GREEN2*
l		$INDEX1	MORE1*	GREEN2*	LANDSCAPE2*	GREEN2*	LANDSCAPE2*
m			mehr	grün		grün
Münster \| dgskorpus_mst_06 \| 31-45m Yes, the scenery is very green over there.
r		GREEN2*		GREEN2*			INTEGRATION1^
l	MORE1*	GREEN2*	LANDSCAPE2*	GREEN2*	LANDSCAPE2*	GREEN2*	INTEGRATION1^
m	mehr	grün		grün		grün
Münster \| dgskorpus_mst_06 \| 31-45m Yes, the scenery is very green over there.
r		GREEN2*			INTEGRATION1^	COHERENCE3
l	LANDSCAPE2*	GREEN2*	LANDSCAPE2*	GREEN2*	INTEGRATION1^	COHERENCE3	YES2*
m		grün		grün
Münster \| dgskorpus_mst_15 \| 31-45f The tower is red, yellow, green, and blue.
r	COLOURFUL3A*	RED1A*	YELLOW5	GREEN2*	BLUE13*	NARROW1A^*
l
m	bunt	rot	gelb	grün	blau

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