Corpus of German Speech
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the <a href='https://dataverse.ha' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["corpus linguistics","dialectology","German","Germany","speech transcripts","spoken language"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the <a href='https://dataverse.ha' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the <a href='https://dataverse.ha
corpus linguistics; dialectology; German; Germany; speech transcripts; spoken language