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{ "pk": 31827, "title": "Lexical Segmentation: the role of sequential statistics in supervised and un-supervised models", "subtitle": null, "abstract": "The use of transitional probabilities between phonetic segments as a cue for segmenting words from English speech is investigated. W e develop a series of class-based n-gram and feature-based neural network models that enable us to quantify the contribution of low-level statistics to word boundary prediction. Training data for our models is representative of genuine conversational speech: a phonological transcription of the London-Lund corpus. These simple models can be purely bottom-up and hence valid bootstrapping models of infant development. W e go on to demonstrate how the boostrapping models mimic the Metrical Segmentation Strategy of Cutler and Norris (1988), and we discuss the implications of this result.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Refereed Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/63x8w9p7", "frozenauthors": [ { "first_name": "Paul", "middle_name": "", "last_name": "Cairns", "name_suffix": "", "institution": "University of Edinburgh", "department": "" }, { "first_name": "Richard", "middle_name": "", "last_name": "Shillcock", "name_suffix": "", "institution": "University of Edinburgh", "department": "" }, { "first_name": "Nick", "middle_name": "", "last_name": "Chater", "name_suffix": "", "institution": "University of Edinburgh", "department": "" }, { "first_name": "Joe", "middle_name": "", "last_name": "Levy", "name_suffix": "", "institution": "University of Edinburgh", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1994-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31827/galley/22894/download/" } ] }