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Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus
Benjamin Börschinger
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Katherine Demuth
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Mark Johnson
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Paper Details:
Month: December
Year: 2012
Location: Mumbai, India
Venue:
COLING |
Citations
URL
Unsupervised Word Segmentation in Context
Gabriel Synnaeve
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Isabelle Dautriche
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Benjamin Börschinger
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Mark Johnson
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Emmanuel Dupoux
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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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Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars
Benjamin Börschinger
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Mark Johnson
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Adaptive Importance Sampling from Finite State Automata
Christoph Teichmann
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Kasimir Wansing
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Alexander Koller
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http://web.science.mq.edu.au/
http://childes.psy.cmu.edu/
http://childes.psy.cmu.edu/data-xml/Eng-USA/Providence.zip
http://www.repository.voxforge1.org/downloads/SpeechCorpus/
http://web.science.mq.edu.au/~mjohnson/code/py-cfg-2012-08-16.tgz
Field Of Study
Task
Word Segmentation
Language
Chinese
English
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