期刊
COMPUTATIONAL LINGUISTICS
卷 35, 期 4, 页码 505-512出版社
MIT PRESS
DOI: 10.1162/coli.2009.35.4.35403
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类别
资金
- National Science Foundation of China [60621062, 60873174]
- National 863 Project [2007AA01Z148]
We present a Chinese word segmentation model learned from punctuation marks which are perfect word delimiters. The learning is aided by a manually segmented corpus. Our method is considerably more effective than previous methods in unknown word recognition. This is a step toward addressing one of the toughest problems in Chinese word segmentation.
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