Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji - ACL Anthology

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Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji

Rie Kubota Ando, Lillian Lee

Anthology ID:: A00-2032
Volume:: 1st Meeting of the North American Chapter of the Association for Computational Linguistics
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Year:: 2000
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Venue:: ANLP
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URL:: https://aclanthology.org/A00-2032
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Cite (ACL):: Rie Kubota Ando and Lillian Lee. 2000. Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji. In 1st Meeting of the North American Chapter of the Association for Computational Linguistics.
Cite (Informal):: Mostly-Unsupervised Statistical Segmentation of Japanese: Applications to Kanji (Ando & Lee, ANLP 2000)
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PDF:: https://preview.aclanthology.org/nschneid-patch-5/A00-2032.pdf