TREE2^

	
	140 1768

frontal

45°

90°

from above

L			I2*	FOREST2B*	OFF1B*	TO-INCREASE2*
≙ TREE2^ (3 tokens)
by transcript \| by glosses \| by right neighbours \| by left neighbours
1183917 1183917 \| 31-45m There were palm trees lying around on the ground.
R				TREE2^*	$PROD	ON1B*	AREA1D^*
L				TREE2^*	$PROD		AREA1D^*
M				palmen		[MG]»
1250279 1250279 \| 46-60f In Brandenburg and Thuringia the financial aid for people with disabilities is very good.
R			TO-HAVE-TO-OWN1*	TREE2^*	AREA1A^*	$LIST1:2of2d*	CONIFER1A^*
L		$INDEX1	TO-HAVE-TO-OWN1*	TREE2^*	AREA1A^*	$LIST1:2of2d*	CONIFER1A^*
M				brandenburg			thüringen
1433543 1433543 \| 18-30m The landscape is hilly and then there’s the edge of the Alps. Munich is just before that.
R		$PROD	WALL-OR-SIDE1B*	TREE2^*	MUNICH1A*	CITY2*
L				TREE2^*	MUNICH1A*
M			wand		münchen
= TREE2A (16 tokens)
Mouth: baum
frontal 45° 90° from above
Translational equivalent: tree
by transcript \| by glosses \| by right neighbours \| by left neighbours
1177640 1177640 \| 46-60m At first, you see a tree carrying pears.
R		TO-SEE1*	PIPE2A^	TREE2A*	ROUND-BALL2^	$PROD
L			PIPE2A^		ROUND-BALL2^
M				baum	birne	[MG]
1180339-16161232-16363818 1180339-… \| 31-45m The Weser Uplands have the least trees - that's something I have noticed.
R				TREE2A*	$INDEX1*	NOTHING1A	LITTLE-BIT9*
L				TREE2A*		NOTHING1A	LITTLE-BIT9*
M				baum		[MG]	wenig
1428805 1428805 \| 31-45m Hm, no, were they trees?
R				TREE2A*	RIGHT-OR-AGREED1A*	$INDEX1	TREE2A
L				TREE2A*			TREE2A
M					stimmt		baum
1181011 1181011 \| 31-45f Their rough edges were evened out until they looked pretty, just like cutting off the stray branches of a bush until it looks pretty.
R			LIKE3B*	TREE2A*	SEGMENT2A^*	MUST1	PRETTY1A
L			LIKE3B*	TREE2A*	SEGMENT2A^*
M			wie	baum	[MG]	muss	hübsch»
1209746 1209746 \| 18-30m They tied different cables and wirings to trees.
R			$PROD	TREE2A*	$PROD	$INDEX1*	TO-WIND3^*
L			$PROD	TREE2A*			TO-WIND3^*
M				baum
1289910 1289910 \| 18-30f The plants are glad, and the trees can grow and flourish. That’s nice.
R		PLANT1B	HAPPY1	TREE2A*	TO-GROW4*	TO-BLOOM1A*	BEAUTIFUL1A
L		PLANT1B	HAPPY1	TREE2A*	TO-GROW4*
M		pflanzen	froh	bäume	wachsen	blühen	schön
1180339-16161232-16363818 1180339-… \| 31-45m There are very few trees.
R		PRIMARILY1	LITTLE-BIT9*	TREE2A*	LITTLE-BIT9	AREA1A*	BORDER1B^*
L		PRIMARILY1	LITTLE-BIT9*	TREE2A*			BORDER1B^*
M		[MG]	[MG]	baum	[MG]
1180556 1180556 \| 46-60f When the trees disappear, mankind will suffer from it.
R			IF-OR-WHEN1A	TREE2A	DISSOLUTION1C^*	HUMAN1*	ALL3*
L				TREE2A	DISSOLUTION1C^*	HUMAN1*
M			wenn	baum	[MG]	mensch
1428805 1428805 \| 31-45m Yes, I remember it now, they were trunks of different heights in a row. First their height was increasing then decreasing.
R			RIGHT-OR-AGREED1A*	TREE2A	REGULAR4B	TREE-TRUNK3	TREE-TRUNK3*
L				TREE2A	REGULAR4B	TREE-TRUNK3	TREE-TRUNK3*
M			stimmt	baumstamm
1428805 1428805 \| 31-45m Back when I was young, there were trees that you could play on/
R	TO-PLAY2	TO-KNOW-STH2A*	TREE-TRUNK1A*	TREE2A
L	TO-PLAY2		TREE-TRUNK1A*	TREE2A
M	spielen			baum
1584545 1584545 \| 31-45f The café is called ‘Coffe Baum’.
R		$GEST^*	COFFEE2A	TREE2A	TO-BE-CALLED1B*
L				TREE2A
M			coffee	baum	heißt
1180556 1180556 \| 46-60f We rely on the trees which are producing the oxygen which we consume.
R	ALL3*	TO-LIVE1C*	FAR-AWAY1^*	TREE2A	ROUND-BALL1^*	TO-WARM-UP1^
L		TO-LIVE1C*		TREE2A	ROUND-BALL1^*	TO-WARM-UP1^
M	wir alle	leben	vom	baum	[MG]	sauerstoff
1428805 1428805 \| 31-45m Hm, no, were they trees?
R	TREE2A*	RIGHT-OR-AGREED1A*	$INDEX1	TREE2A
L	TREE2A*			TREE2A
M		stimmt		baum
1584545 1584545 \| 31-45f They also have the “Coffe Baum” [traditional coffee house] combined with a museum.
R	AND2A	ALSO1C	COFFEE2A	TREE2A	$INDEX1	$PROD	INTO2*
L	AND2A			TREE2A
M	und	auch	coffe baum
1210763 1210763 \| 18-30m Almost every building was made of straw and wood rather than made of stone when it happend.
R	TIME5A*	STRAW3*	OR4B*	TREE2A	$GEST-OFF1^	APARTMENT2B^*	NONE2
L	TIME5A*	STRAW3*	OR4B*	TREE2A	$GEST-OFF1^	APARTMENT2B^*
M	zeit	stroh	o{der}	baum		haus haus haus	kein»
1181011 1181011 \| 31-45f Their rough edges were evened out until they looked pretty, just like cutting off the stray branches of a bush until it looks pretty.
R	SEGMENT2A^*	MUST1	PRETTY1A	TREE2A	$PROD
L	SEGMENT2A^*			TREE2A	$PROD
M	[MG]	muss	hübsch		baum
= FOREST2B (6 tokens)
Mouth: wald
frontal 45° 90° from above
Translational equivalent: forest
by transcript \| by glosses \| by right neighbours \| by left neighbours
1179224 1179224 \| 31-45f I used to go mushroom picking in the forest in that area.
R				FOREST2B*	I1	REGULARLY2*	MUSHROOM1A
L				FOREST2B*			MUSHROOM1A
M				im wald		[MG]	pilz
1179224 1179224 \| 31-45f They cut down more and more of the forest and the city expands.
R			I2*	FOREST2B*	OFF1B*	TO-INCREASE2*
M				wald	ab ab ab
1291572 1291572 \| 46-60f He also talked about the creation, that God created forests, the seas and the people.
R	HOW-QUESTION1	$INDEX1*	$GEST-OFF1^	FOREST2B*	OCEAN1A	HUMAN2*
L	HOW-QUESTION1		$GEST-OFF1^	FOREST2B*	OCEAN1A
M	wie	hat		wald	meer	menschen
1179224 1179224 \| 46-60f It’s just this small hole in the forest.
R		PICTURE1^	IN1*	FOREST2B*
L		PICTURE1^	IN1*	FOREST2B*	IN1
M		[MG]	im	wald
1249951 1249951 \| 31-45f You can go for a walk in the forest, as well.
R			ALSO1A*	FOREST2B	MUCH1B	TO-GO-FOR-A-WALK2B*	FOREST2B
L				FOREST2B		TO-GO-FOR-A-WALK2B*	FOREST2B
M			auch	wald	viel	spazieren	wald
1249951 1249951 \| 31-45f You can go for a walk in the forest, as well.
R	FOREST2B	MUCH1B	TO-GO-FOR-A-WALK2B*	FOREST2B
L	FOREST2B		TO-GO-FOR-A-WALK2B*	FOREST2B
M	wald	viel	spazieren	wald
~ TREE2B (5 tokens)
Mouth: ∅
frontal 45° 90° from above
Translational equivalent: tree
by transcript \| by glosses \| by right neighbours \| by left neighbours
1180339-16161232-16363818 1180339-… \| 31-45m There are plenty of trees. You can go for a walk, or you can go hiking, as well.
R			PRIMARILY1	TREE2B*	$GEST^	TO-GO-FOR-A-WALK2B*	PRESENT-OR-HERE1*
L			PRIMARILY1		$GEST^	TO-GO-FOR-A-WALK2B*	PRESENT-OR-HERE1*
M			[MG]	baum		spazieren	da
1180339-16161232-16363818 1180339-… \| 31-45m The Weser Uplands have the least trees - that's something I have noticed.
R	$INDEX1*	NOTHING1A	LITTLE-BIT9*	TREE2B*	TO-STRIKE1A	$INIT-CIRCLE1^*
L		NOTHING1A	LITTLE-BIT9*				AREA1A*
M		[MG]	wenig		auffallen	weserland
1179224 1179224 \| 31-45f Without sheep, well, do you know these birch trees?
R	SHEEP2	$GEST-ATTENTION1^	$ALPHA1:B	TREE2B	TO-KNOW-STH-OR-SB1B	YOU1
L
M	schaf		birkenbaum		[MG]
1431982 1431982 \| 46-60m The dad chooses a tree and starts to cut it down with an axe.
R		FATHER1*	TO-ACCEPT-STH3A	TREE2B*	FIR1	GOOD1
L				TREE2B*	FIR1		TALL2B*
M		vater	[MG]	b{aum}	tannenbaum	[MG]
1179224 1179224 \| 31-45f It means to say that for example we have the most streets lined with trees.
R	OPINION1B	MOST1B*	MEANING1*	TREE2B*	$PROD	QUEUE-PERSONS1B^*
L				TREE2B*		QUEUE-PERSONS1B^*
M	meinst	meistens	bedeutet	bäume	straße	bäume
~ FOREST2A (11 tokens)
Mouth: wald
frontal 45° 90° from above
Translational equivalent: forest
by transcript \| by glosses \| by right neighbours \| by left neighbours
1430328 1430328 \| 31-45f Yeah, you have a lot of forest around.
R			MUCH1C	FOREST2A*	$INDEX1	MUCH1C	FOREST2A*
L				FOREST2A*			FOREST2A*
M			viel	wald		viel	wald
1433543 1433543 \| 18-30m There’s agriculture, cornfields, many bike paths and forests.
R	BICYCLE1	WAY3*	$GEST^	FOREST2A*	$GEST-OFF1^
L	BICYCLE1		$GEST^	FOREST2A*	$GEST-OFF1^
M	radweg			wald	[MG]
1430328 1430328 \| 31-45f Where you live is a lot of forest around.
R		$INDEX1	MUCH1C	FOREST2A*	$INDEX1
L				FOREST2A*
M			viel	wald
1430328 1430328 \| 31-45m There is also a lot of forest in the region.
R	ALSO3A	MUCH1C*	TREE7*	FOREST2A*	MUCH1C
L			TREE7*	FOREST2A*
M	auch	viel	wald		viel
1430328 1430328 \| 31-45f Yeah, you have a lot of forest around.
R	FOREST2A*	$INDEX1	MUCH1C	FOREST2A*	PRIMARILY1	$INDEX1
L	FOREST2A*			FOREST2A*	PRIMARILY1
M	wald		viel	wald	[MG]
1430328 1430328 \| 31-45f There are meadows and a forest. You can use the bridge to cross the river. That's where I went for a walk.
R	MUCH1C*	$PROD	MEADOW1A	FOREST2A*	$PROD	RIVER1^	BRIDGE1A
L			MEADOW1A	FOREST2A*
M	viel		wiese	wald		wasser	brücke
1289793 1289793 \| 18-30f Are there many factories, or forests?
R	FACTORY6	OR1*	PRIMARILY1	FOREST2A
L	FACTORY6	OR1*	PRIMARILY1	FOREST2A
M	fabrik	oder	[MG]	wald
1180339-16161232-16363818 1180339-… \| 31-45m The area to the north of Osnabrück is called ‘Wiehengebirge’, and to the south the ‘Teutoburger Wald’ is located.
R	MOUNTAINS1*				$PROD
L		SOUTH1B	$ALPHA1:T	FOREST2A*
M	wiehengebirge	süd	teutoburger wald
1289793 1289793 \| 18-30f I’ve already said that there’s a lot of forest there.
R			MUCH1C*	FOREST2A*	FOREST2A*
L	TO-SAY2B*	$INDEX1*	MUCH1C*	FOREST2A*	FOREST2A*	I1*	TO-SAY2B*
M	{ge}sa{gt}	viel		wald	wald	ich	gesa{gt}
1289793 1289793 \| 18-30f I’ve already said that there’s a lot of forest there.
R		MUCH1C*	FOREST2A*	FOREST2A*
L	$INDEX1*	MUCH1C*	FOREST2A*	FOREST2A*	I1*	TO-SAY2B*	MUCH1C
M	viel		wald	wald	ich	gesa{gt}	viel
1289793 1289793 \| 18-30f I’ve already said that there’s a lot of forest there.
R				FOREST2A*
L	I1*	TO-SAY2B*	MUCH1C	FOREST2A*	AREA1A*
M	ich	gesa{gt}	viel	wald

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Types ID	Gloss	HamNoSys	Mouth
18032	TREE2^		∅
2292	TREE2A		baum
54968	FOREST2B		wald
41739	TREE2B		∅
12503	FOREST2A		wald