Mouth: wald
Translational equivalent: forest
by transcript | by glosses | by right neighbours | by left neighbours
1249951 mvp02 | 31-45f
You can go for a walk in the forest, as well.
r ALSO1A* FOREST2B MUCH1B TO-GO-FOR-A-WALK2B* FOREST2B
l
m auch wald viel spazieren wald
1249951 mvp02 | 31-45f
You can go for a walk in the forest, as well.
r FOREST2B MUCH1B TO-GO-FOR-A-WALK2B* FOREST2B
l
m wald viel spazieren wald
1291572 mst10 | 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
m wie hat wald meer menschen
1179224 hh08 | 46-60f
It’s just this small hole in the forest.
r PICTURE1^ IN1* FOREST2B*
l IN1
m [MG] im wald
1179224 hh08 | 31-45f
They cut down more and more of the forest and the city expands.
r I2* FOREST2B* OFF1B* TO-INCREASE2*
l
m wald ab ab ab
1179224 hh08 | 31-45f
I used to go mushroom picking in the forest in that area.
r FOREST2B* I1 REGULARLY2* MUSHROOM1A
l
m im wald [MG] pilz
Mouth: baum
Translational equivalent: tree
by transcript | by glosses | by right neighbours | by left neighbours
1181011 hb04 | 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
m [MG] muss hübsch baum
1180556 hb02 | 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
m wir alle leben vom baum [MG] sauerstoff
1180556 hb02 | 46-60f
When the trees disappear, mankind will suffer from it.
r IF-OR-WHEN1A TREE2A DISSOLUTION1C^* HUMAN1* ALL3*
l
m wenn baum [MG] mensch
1210763 mue04 | 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
m zeit stroh o{der} baum haus haus haus kein
1428805 koe08 | 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
m spielen baum
1428805 koe08 | 31-45m
Hm, no, were they trees?
r TREE2A* RIGHT-OR-AGREED1A* $INDEX1 TREE2A
l
m stimmt baum
1428805 koe08 | 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
m stimmt baumstamm
1584545 lei11 | 31-45f
They also have the “Coffe Baum” [traditional coffee house] combined with a museum.
r AND2A ALSO1C COFFEE2A TREE2A $INDEX1 $PROD INTO2*
l
m und auch coffe baum
1584545 lei11 | 31-45f
The café is called ‘Coffe Baum’.
r $GEST^* COFFEE2A TREE2A TO-BE-CALLED1B*
l
m coffee baum heißt
1177640 hh04 | 46-60m
At first, you see a tree carrying pears.
r TO-SEE1* PIPE2A^ TREE2A* ROUND-BALL2^ $PROD
l
m baum birne [MG]
1181011 hb04 | 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
m wie baum [MG] muss hübsch
1180339-… hb01 | 31-45m
The Weser Uplands have the least trees - that's something I have noticed.
r TREE2A* $INDEX1* NOTHING1A LITTLE-BIT9*
l
m baum [MG] wenig
1180339-… hb01 | 31-45m
There are very few trees.
r PRIMARILY1 LITTLE-BIT9* TREE2A* LITTLE-BIT9 AREA1A* BORDER1B^*
l
m [MG] [MG] baum [MG]
1209746 nue09 | 18-30m
They tied different cables and wirings to trees.
r $PROD TREE2A* $PROD $INDEX1* TO-WIND3^*
l
m baum
1289910 mst03 | 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
m pflanzen froh bäume wachsen blühen schön
1428805 koe08 | 31-45m
Hm, no, were they trees?
r TREE2A* RIGHT-OR-AGREED1A* $INDEX1 TREE2A
l
m stimmt baum
Mouth: wald
Translational equivalent: forest
by transcript | by glosses | by right neighbours | by left neighbours
1289793 mst02 | 18-30f
Are there many factories, or forests?
r FACTORY6 OR1* PRIMARILY1 FOREST2A
l
m fabrik oder [MG] wald
1180339-… hb01 | 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 … süd teutoburger wald
1289793 mst02 | 18-30f
I’ve already said that there’s a lot of forest there.
r MUCH1C* FOREST2A* FOREST2A*
l TO-SAY2B* $INDEX1*
m {ge}sa{gt} viel wald wald
1289793 mst02 | 18-30f
I’ve already said that there’s a lot of forest there.
r MUCH1C* FOREST2A* FOREST2A*
l $INDEX1*
m viel wald wald
1289793 mst02 | 18-30f
I’ve already said that there’s a lot of forest there.
r FOREST2A*
l I1* TO-SAY2B* MUCH1C AREA1A*
m ich gesa{gt} viel wald
1430328 koe15 | 31-45m
There is also a lot of forest in the region.
r ALSO3A MUCH1C* TO-SHAKE3^* FOREST2A* MUCH1C
l
m auch viel wald viel
1430328 koe15 | 31-45f
Where you live is a lot of forest around.
r $INDEX1 MUCH1C FOREST2A* $INDEX1
l
m viel wald
1430328 koe15 | 31-45f
Yeah, you have a lot of forest around.
r MUCH1C FOREST2A* $INDEX1 MUCH1C FOREST2A*
l
m viel wald viel wald
1430328 koe15 | 31-45f
Yeah, you have a lot of forest around.
r FOREST2A* $INDEX1 MUCH1C FOREST2A* PRIMARILY1 $INDEX1
l
m wald viel wald [MG]
1430328 koe15 | 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
m viel wiese wald wasser brücke
1433543 mue07 | 18-30m
There’s agriculture, cornfields, many bike paths and forests.
r BICYCLE1 WAY3* $GEST^ FOREST2A* $GEST-OFF1^
l
m radweg wald [MG]