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, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of German Speech. The untagged corpus is contained in the file coanzse_tokens_distributable_30062023.csv.gz. The PoS-tagged corpus with word timings is coanzse_textpos_distributable_30062023.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'state', 'council_name', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use/Fair Dealing provisions of copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoANZSE.html

2022