POWDER1A^
| |
![]() ![]() |
≙ POWDER1A^ | |||||||
Münster | dgskorpus_mst_02 | 18-30f There’s also Bad Salzuflen. | |||||||
r | POWDER1A^ | $INDEX1 | |||||
l | |||||||
m | bad salzuflen | ||||||
Münster | dgskorpus_mst_02 | 18-30f Bad Salzuflen. | |||||||
r | POWDER1A^ | $INDEX1* | $LIST1:2of2d* | ||||
l | |||||||
m | bad salzuflen | ||||||
= SALT1A | |||||||
Göttingen | dgskorpus_goe_09 | 61+f I worked in Salzgitter but went to a vocational school for hearing people in Brunswick. | |||||||
r | MEANING1* | I1 | $INDEX1 | SALT1A | GRID4A | TO-WORK2 | BUT1* |
l | |||||||
m | bedeutet | [MG] | salzgitter | arbeit | aber | ||
Göttingen | dgskorpus_goe_09 | 61+f I could have continued that career, but I just couldn’t find a new job in Salzgitter. | |||||||
r | TO-WORK2 | PLACE9 | I1 | SALT1A | NET1A^ | TO-OBTAIN3* | NONE8* |
l | |||||||
m | arbeitsplatz | salzgitter | bekommen | [MG] | |||
Leipzig | dgskorpus_lei_11 | 31-45f No. We add also a lot of salt and pepper to the tomato sauce with the milk. | |||||||
r | NO1B | FEELING3^ | FEELING3^* | SALT1A | PEPPER1A* | WITH1A | MILK2B* |
l | |||||||
m | salz | pfe{ffer} | milch | ||||
Münster | dgskorpus_mst_06 | 31-45m Due to the air and the salty water/ | |||||||
r | AIR1 | ON10^* | SALT1A | ||||
l | MEANING1* | SALT1A | OCEAN1A* | $INDEX1 | |||
m | bedeutet | mit | salzmeer | salzmeer | |||
Münster | dgskorpus_mst_06 | 31-45m Due to the air and the salty water/ | |||||||
r | SALT1A | $GEST^ | |||||
l | SALT1A | OCEAN1A* | $INDEX1 | OCEAN1A* | |||
m | salzmeer | salzmeer | [MG] | ||||
= SAND1A | |||||||
München (Munich) | dgskorpus_mue_03 | 46-60m We played with sand in the sandpit, or with cars. | |||||||
r | $GEST-OFF^ | SAND1A | SAND1B* | DISTINCT2B* | $INDEX1 | ||
l | |||||||
m | sand | sand | [MG] | ||||
München (Munich) | dgskorpus_mue_03 | 46-60m We played with sand in the sandpit, or with cars. | |||||||
r | SAND1B* | DISTINCT2B* | $INDEX1 | SAND1A | CASE1* | DISTINCT2B | TO-PLAY2* |
l | |||||||
m | sand | [MG] | sand | spielen | |||
Schleswig-Holstein | dgskorpus_sh_02 | 18-30f Still, I would try to help filling sand into bags and building a sandbag wall as protection. | |||||||
r | TO-TRY2 | TO-GO-EASY1 | TO-HELP1* | SAND1A | TO-THROW1* | $PROD | TO-SLIDE-OR-TO-PUSH2^* |
l | |||||||
m | helfen | sand | schutz | ||||
Hamburg | dgskorpus_hh_08 | 46-60f You know, #I live in Name1, and right around the corner there are those hills, they are sand hills, do you know what I mean? | |||||||
r | UNDER1A* | TO-OWN-TO-EXIST1 | $PROD | SAND1A* | HILL1* | TO-KNOW-OR-KNOWLEDGE2A* | |
l | |||||||
m | unter | [MG] | dünen | sand | weiß | ||
Schleswig-Holstein | dgskorpus_sh_08 | 46-60m We were building a sand castle as the tide set in. | |||||||
r | SAND1A* | I2* | SAND1A* | MOUNTAIN1B^* | |||
l | |||||||
m | sand | ich | sandburg | ||||
Schleswig-Holstein | dgskorpus_sh_08 | 46-60m We were building a sand castle as the tide set in. | |||||||
r | SAND1A* | I2* | SAND1A* | MOUNTAIN1B^* | I2* | $PROD | |
l | |||||||
m | sand | ich | sandburg | [MG] | [MG] | ||
= SEED6A | |||||||
Göttingen | dgskorpus_goe_09 | 61+f After, I distribute the seeds into the many small holes. | |||||||
r | THEN1A* | HOLE1B* | TO-PUT-IN4* | SEED6A | TO-PUT-IN4* | TO-SCATTER2A | TO-PUT-IN4* |
l | |||||||
m | loch | [MG] | samen | ||||
Göttingen | dgskorpus_goe_09 | 61+f Right, first, I have to buy tomato seeds. | |||||||
r | FIRST1A | I1* | TOMATO2A* | SEED6A* | TO-BUY1A | I1* | |
l | |||||||
m | zuerst | tomaten | samen | kaufen | |||
= SUGAR1A | |||||||
Berlin | dgskorpus_ber_07 | 31-45m You then take the so-called jam sugar. | |||||||
r | THEN7 | NAME1B* | $ALPHA1:G_2-E-L-I-R | SUGAR1A | TO-STIR6^* | ||
l | |||||||
m | dann | name | gelir | zucker | |||
Berlin | dgskorpus_ber_07 | 31-45m First, you add the sugar and thoroughly mix it in, and then you bring it to a boil. | |||||||
r | FIRST1B | $PROD | THEN1C | SUGAR1A | $PROD | TO-STIR1^* | AND2B* |
l | |||||||
m | zuerst | [MG] | dann | zucker | [MG] | und dann | |
Frankfurt | dgskorpus_fra_12 | 61+m You had to put sugar on the windowsill. | |||||||
r | YOU1* | MUST1 | SUGAR1A | $PROD | |||
l | |||||||
m | du | musst | zucker [MG] | ||||
Göttingen | dgskorpus_goe_06 | 31-45f There is a lot of sugar in Brunswick. | |||||||
r | BRUNSWICK1* | MUCH-OR-MANY1A | SUGAR1A | ||||
l | |||||||
m | braun{schweig} | viel | zucker | ||||
Göttingen | dgskorpus_goe_06 | 31-45f That’s because of the famous Nordzucker [company that produces sugar]. | |||||||
r | SUGAR1A | NORTH1B | SUGAR1A | ||||
l | |||||||
m | zucker | nordzucker | |||||
Göttingen | dgskorpus_goe_06 | 31-45f That’s because of the famous Nordzucker [company that produces sugar]. | |||||||
r | SUGAR1A | NORTH1B | SUGAR1A | ||||
l | |||||||
m | zucker | nordzucker | |||||
Göttingen | dgskorpus_goe_06 | 31-45f That’s because of the famous Nordzucker [company that produces sugar]. | |||||||
r | TO-KNOW-STH-OR-SB1A* | SUGAR1A | NORTH1B | SUGAR1A | |||
l | |||||||
m | zucker | nordzucker | |||||
Göttingen | dgskorpus_goe_06 | 31-45f That’s because of the famous Nordzucker [company that produces sugar]. | |||||||
r | TO-KNOW-STH-OR-SB1A* | SUGAR1A | NORTH1B | SUGAR1A | |||
l | |||||||
m | zucker | nordzucker | |||||
Göttingen | dgskorpus_goe_06 | 31-45f They mostly have fields of white sugar beets. | |||||||
r | PRIMARILY1 | AREA1A^* | MUCH-OR-MANY1A | SUGAR1A | $PROD | MUCH-OR-MANY1A | FIELD4A* |
l | |||||||
m | … | viele | zuckerrübe | viel | |||
München (Munich) | dgskorpus_mue_07 | 18-30m You can get cotton candy or candied almonds. | |||||||
r | $PROD | OR5* | |||||
l | SUGAR1A | TONSILS1A* | |||||
m | zuckerwatte | oder | mandel | ||||
= TO-SCATTER2A | |||||||
Göttingen | dgskorpus_goe_09 | 61+f After, I distribute the seeds into the many small holes. | |||||||
r | TO-PUT-IN4* | SEED6A | TO-PUT-IN4* | TO-SCATTER2A | TO-PUT-IN4* | ||
l | |||||||
m | [MG] | samen | |||||
= WÜRZBURG1A | |||||||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m On average, about 250,000 to 300,000 people come to visit Würzburg each year. | |||||||
r | WÜRZBURG1A | $INDEX1* | TO-COME1 | YEAR2A | |||
l | |||||||
m | würzburg | kommen | im jahr | ||||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m Every year more than 300,000 tourists come to visit Würzburg. | |||||||
r | ALWAYS3 | YEAR3A* | ALWAYS3 | WÜRZBURG1A | $INDEX1* | TO-VISIT-OR-TO-ATTEND1A* | $INDEX1 |
l | |||||||
m | immer | ein jahr | immer | würzburg | besuchen | ||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m They have built a wall to control the flood alongside the River Main. | |||||||
r | ALSO3A* | WÜRZBURG1A | TO-GIVE2 | BUILDING-OR-CONSTRUCTION1 | WHAT1A* | ||
l | |||||||
m | auch | würzburg | gibt | bauen | was | ||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m But the one in Würzburg is embarrassing. | |||||||
r | $INDEX1* | WÜRZBURG1A | DEROGATORY-$CANDIDATE-NUE40^ | ||||
l | |||||||
m | würz{burg} | [MG] | |||||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m There is an African Festival in Würzburg every year. | |||||||
r | AND2A | WÜRZBURG1A | ALSO1A | YEAR2A | AFRICA1 | ||
l | |||||||
m | und | würzburg | auch | nächstes jahr | afrika | ||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m Especially a lot of Japanese people come to Würzburg and take pictures of everything. | |||||||
r | JAPAN2 | JAPAN1 | AIRPLANE2F* | WÜRZBURG1A | THERE1* | TO-VISIT1* | PHOTO1* |
l | $INDEX1 | ||||||
m | japaner | japaner | [MG] | würzburg | [MG] | [MG] | |
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m All the highways, from north, south, west and east, meet in Würzburg. | |||||||
r | $GEST^ | AND2A | WÜRZBURG1A* | MIDDLE2B^ | POINT1A | WAY3A^* | |
l | |||||||
m | und | würzburg | knotenpunkt | autobahn | |||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m Würzburg has 60 churches. | |||||||
r | WÜRZBURG1A* | TO-HAVE-TO-OWN1* | $NUM-TENS2A:6d | CHURCH2A | |||
l | |||||||
m | würzburg | hat | sechzig | kirchen | |||
Nürnberg (Nuremberg) | dgskorpus_nue_01 | 61+m But there isn’t a certain restaurant in Würzburg I have in mind. | |||||||
r | SQUARE1^* | RESTAURANT1 | $INDEX1 | WÜRZBURG1A* | AREA1A* | I1 | NOTHING1A |
l | |||||||
m | lokal | würzburg | hab nicht |