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
Description
Summary: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.

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