Nonparametric Model for Inupiaq Morphology Tokenization

We present how to use English translation for unsupervised word segmentation of low resource languages. The inference uses a dynamic programming algorithm for efficient blocked Gibbs sampling. We apply the model to Inupiaq morphology analysis and get better results than monolingual model as well as...

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Bibliographic Details
Main Authors: Thuy Linh, N Stephan Vogel
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Nonparametric model
Gibbs sampling
morphology tokenization. Proceedings of COLING 2012
Demonstration Papers
pages 337–344
COLING 2012
Mumbai
December 2012
Inupiaq
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1099
http://aclweb.org/anthology/C/C12/C12-3042.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.368.1099 2023-05-15T16:55:37+02:00 Nonparametric Model for Inupiaq Morphology Tokenization Thuy Linh N Stephan Vogel The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1099 http://aclweb.org/anthology/C/C12/C12-3042.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1099 http://aclweb.org/anthology/C/C12/C12-3042.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://aclweb.org/anthology/C/C12/C12-3042.pdf Nonparametric model Gibbs sampling morphology tokenization. Proceedings of COLING 2012 Demonstration Papers pages 337–344 COLING 2012 Mumbai December 2012 text ftciteseerx 2016-01-08T01:08:41Z We present how to use English translation for unsupervised word segmentation of low resource languages. The inference uses a dynamic programming algorithm for efficient blocked Gibbs sampling. We apply the model to Inupiaq morphology analysis and get better results than monolingual model as well as Morfessor output. Text Inupiaq Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Nonparametric model
Gibbs sampling
morphology tokenization. Proceedings of COLING 2012
Demonstration Papers
pages 337–344
COLING 2012
Mumbai
December 2012
spellingShingle Nonparametric model
Gibbs sampling
morphology tokenization. Proceedings of COLING 2012
Demonstration Papers
pages 337–344
COLING 2012
Mumbai
December 2012
Thuy Linh
N Stephan Vogel
Nonparametric Model for Inupiaq Morphology Tokenization
topic_facet Nonparametric model
Gibbs sampling
morphology tokenization. Proceedings of COLING 2012
Demonstration Papers
pages 337–344
COLING 2012
Mumbai
December 2012
description We present how to use English translation for unsupervised word segmentation of low resource languages. The inference uses a dynamic programming algorithm for efficient blocked Gibbs sampling. We apply the model to Inupiaq morphology analysis and get better results than monolingual model as well as Morfessor output.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Thuy Linh
N Stephan Vogel
author_facet Thuy Linh
N Stephan Vogel
author_sort Thuy Linh
title Nonparametric Model for Inupiaq Morphology Tokenization
title_short Nonparametric Model for Inupiaq Morphology Tokenization
title_full Nonparametric Model for Inupiaq Morphology Tokenization
title_fullStr Nonparametric Model for Inupiaq Morphology Tokenization
title_full_unstemmed Nonparametric Model for Inupiaq Morphology Tokenization
title_sort nonparametric model for inupiaq morphology tokenization
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1099
http://aclweb.org/anthology/C/C12/C12-3042.pdf
genre Inupiaq
genre_facet Inupiaq
op_source http://aclweb.org/anthology/C/C12/C12-3042.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.1099
http://aclweb.org/anthology/C/C12/C12-3042.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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