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Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda, 2009.
What it's used for here
Proceedings of ACL-IJCNLP 2009, pp. 100-108 (checked on the ACL Anthology page). Nested Pitman-Yor word segmentation: a character-level PY model nested inside a word-level PY model, segmentation sampled by forward filtering-backward sampling. Track B candidate for learning sign boundaries jointly with the key (where T40 stalled).
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
aclanthology.org · fetched 28 Oct 2026
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Cite it
Daichi Mochihashi, Takeshi Yamada, & Naonori Ueda (2009). Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. https://aclanthology.org/P09-1012/
@inproceedings{mochihashi2009bayesian,
author = {Daichi Mochihashi} and {Takeshi Yamada} and {Naonori Ueda},
title = {Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling},
year = {2009},
url = {https://aclanthology.org/P09-1012/}
}TY - GEN TI - Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling AU - Daichi Mochihashi AU - Takeshi Yamada AU - Naonori Ueda PY - 2009 UR - https://aclanthology.org/P09-1012/ ER -
et al.. “Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling.” 2009.