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

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we generate only three BibTeX files per volume, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

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
Month:
Year:: 2000
Address:
Venue:: ANLP
SIG:
Publisher:
Note:
Pages:
Language:
URL:: https://aclanthology.org/A00-2032
DOI:
Bibkey:
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)
Copy Citation:
PDF:: https://preview.aclanthology.org/naacl-24-ws-corrections/A00-2032.pdf