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Modelling function words improves unsupervised word segmentation
Mark Johnson
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Anne Christophe
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Emmanuel Dupoux
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Katherine Demuth
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Sign constraints on feature weights improve a joint model of word segmentation and phonology
Mark Johnson
|
Joe Pater
|
Robert Staubs
|
Emmanuel Dupoux
|
Prosodic boundary information helps unsupervised word segmentation
Bogdan Ludusan
|
Gabriel Synnaeve
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Emmanuel Dupoux
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Adaptor Grammars for the Linguist: Word Segmentation Experiments for Very Low-Resource Languages
Pierre Godard
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Laurent Besacier
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François Yvon
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Martine Adda-Decker
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Gilles Adda
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Hélène Maynard
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Annie Rialland
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http://web.science.mq.edu.au/mjohnson/
Field Of Study
Linguistic Trends
Phonology
Task
Word Segmentation
Approach
Bayesian Model
Unsupervised Learning
Language
English
Japanese
French
Child Language
Dataset
Child-directed Speech
Child Language
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