Corpus of Australian and New Zealand Spoken English
<|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 Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, 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 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, distr' . 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" : ["Australia","corpus linguistics","dialectology","New Zealand","speech transcripts","spoken language"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, 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 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, distr' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, 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 55,896 ASR transcripts from 472 YouTube channels, corresponding to almost 24,007 hours of video. The size of the corpus is 195,583,873 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, distr
Australia; corpus linguistics; dialectology; New Zealand; speech transcripts; spoken language