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Combination of Machine Learning Methods for Optimum Chinese Word Segmentation
Masayuki Asahara
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Kenta Fukuoka
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Ai Azuma
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Chooi-Ling Goh
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Yotaro Watanabe
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Yuji Matsumoto
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Takashi Tsuzuki
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Paper Details:
Year: 2005
Venue:
IJCNLP |
SIGHAN |
SIG: SIGHAN
Citations
URL
A Character-Based Joint Model for Chinese Word Segmentation
Kun Wang
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Chengqing Zong
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Keh-Yih Su
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Semi-supervised Chinese Word Segmentation based on Bilingual Information
Wei Chen
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Bo Xu
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A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information
Xu Sun
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Yaozhong Zhang
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Takuya Matsuzaki
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Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Subword-Based Tagging for Confidence-Dependent Chinese Word Segmentation
Ruiqiang Zhang
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Genichiro Kikui
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Eiichiro Sumita
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Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
Xu Sun
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Houfeng Wang
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Wenjie Li
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A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
Galen Andrew
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http://www.r-project.org/
Field Of Study
Task
Tagging
Chunking
Word Segmentation
Language
English
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