Previous abstract |
Contents |
Next abstract
An efficient clustering algorithm for class-based language models
This paper defines a general form for class-based
probabilistic language models and proposes
an efficient algorithm for clustering
based on this. Our evaluation experiments revealed
that our method decreased computation
time drastically, while retaining accuracy.
Takuya Matsuzaki, Yusuke Miyao and Jun'ichi Tsujii,
An efficient clustering algorithm for class-based language models.
In:
Proceedings of CoNLL-2003,
Edmonton, Canada, 2003, pp. 119-126.
[ps]
[ps.gz]
[pdf]
[bibtex]
Last update: June 11, 2003.
erikt@uia.ua.ac.be