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Repurposing Corpora for Speech Repair Detection: Two Experiments Simon Zwarts, Mark Johnson, Robert Dale Center for Language Technology, Department of Computing, Macquarie University
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Document Date: 2010-11-07 19:53:00


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Denver / Boston / Beijing / /

Company

Cambridge University Press / Google / Human Language Technologies / Penn Treebank / Microsoft / /

Country

United States / China / /

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Facility

Macquarie University / University of Pennsylvania / University of California / /

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Web 1T data / probable solutions / accessible Web pages / natural language processing tasks / tional telephone speech / spoken language processing / incremental processing scenario / smarter algorithms / incremental processing / beam-search strategy / Web 1T corpus / natural language processing / statistical natural language processing algorithm / Web 1T bigram probabilities / /

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Robert Dale / /

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Cambridge University / Macquarie University / University of California / Berkeley / Department of Computing / Australian Research Council / Organizing Committee / University of Pennsylvania / Philadelphia / Robert Dale Center for Language Technology / Association for Computational Linguistics / /

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Erik Brill / Eugene Charniak / Elizabeth Shriberg / Eric Brill / Douglas Biber / Matthew Snover / Sanjay Ghemawat / Boulos Harb / Joshua T. Goodman / Michele Banko / Bonnie Dorr / Richard Schwartz / Lane Schwartz / Matthew Lease / Simon Zwarts / Stuart M. Shieber / Marcello Federico / Mark Johnson / Yves Schabes / William Schuler / Ciprian Chelba / Samir AbdelRahman / Tim Miller / Vanessa Sandrini / Jeffrey Dean / /

Position

improved model for recognizing disfluencies / Thinking Head Project / speaker / Immediate-head / noisy Fisher / Fisher / /

Product

Fisher / Switchboard / Expectation Maximisation / /

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Pennsylvania / California / /

PublishedMedium

Computational Linguistics / /

Technology

speech recognition / Viterbi algorithm / natural language processing / Lexically-Driven Algorithm / statistical natural language processing algorithm / /

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