The Corpus of British Isles Spoken English (CoBISE) is a corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United Kingdom and Ireland, created for the study of linguistic and interactional phenomena in contemporary English. Transcripts are linked to videos accessible through the YouTube platform, allowing the study of multimodal phenomena. The corpus was created from 38,680 ASR transcripts from 497 YouTube channels, corresponding to more than 12,800 hours of video. The size of the corpus is 111,563,614 tokens. The channels sampled in the corpus are associated with local government entities such as county or city councils. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file CoBISE_text_distributable_20211228.csv.gz. The PoS-tagged corpus with word timings is CoBISE_pos_distributable_20211228.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'channel_title', 'channel_id', 'video_title', 'video_id', '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 provisions of US 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/CoBISE.html

2022