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人工知能学会論文誌
Vol. 29 (2014) No. 2 論文特集「データマイニングとシミュレーション」,一般論文 p. 268-276

記事言語:

http://doi.org/10.1527/tjsai.29.268

原著論文

This paper proposes a fast word lattice generation algorithm for Japanese morphological analysis. We conducted experiments on three Japanese data sets to demonstrate that the previously proposed pruning-based algorithm is in fact not efficient enough, and that the pipeline algorithm, which is introduced in this paper, achieves considerable speed-up without loss of accuracy. Moreover, the compactness of the lattice generated by the pipeline algorithm was investigated from both theoretical and empirical perspectives.

Copyright © 人工知能学会 2014

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