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Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars
Benjamin Börschinger
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Mark Johnson
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Paper Details:
Year: 2014
Venue:
TACL |
Citations
URL
Unsupervised Word Segmentation in Context
Gabriel Synnaeve
|
Isabelle Dautriche
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Benjamin Börschinger
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Mark Johnson
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Emmanuel Dupoux
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Syllable weight encodes mostly the same information for English word segmentation as dictionary stress
John K Pate
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Mark Johnson
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Speech segmentation with a neural encoder model of working memory
Micha Elsner
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Cory Shain
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Sign constraints on feature weights improve a joint model of word segmentation and phonology
Mark Johnson
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Joe Pater
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Robert Staubs
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Emmanuel Dupoux
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Prosodic boundary information helps unsupervised word segmentation
Bogdan Ludusan
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Gabriel Synnaeve
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Emmanuel Dupoux
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Unsupervised Lexicon Discovery from Acoustic Input
Chia-ying Lee
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Timothy J. O’Donnell
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James Glass
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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/
http://svn.code.sf.net/p/cmusphinx/
Field Of Study
Linguistic Trends
Morphology
Task
Word Segmentation
Approach
Bayesian Model
Language
English
French
Child Language
Dataset
Child Language
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