{"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/"}]}