Mining Atomic Chinese Abbreviation Pairs: A Probabilistic Model for Single Character Word Recovery
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[1] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[2] Changning Huang,et al. Improved Source-Channel Models for Chinese Word Segmentation , 2003, ACL.
[3] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[4] Keh-Yih Su,et al. Statistical Models for Word Segmentation And Unknown Word Resolution , 1992, ROCLING.
[5] Lei Zhang,et al. Chinese Named Entity Identification Using Class-based Language Model , 2002, COLING.
[6] Richard Sproat,et al. Corpus-Based Methods in Chinese Morphology and Phonology , 2001 .
[7] Jing-Shin Chang,et al. A Preliminary Study on Probabilistic Models for Chinese Abbreviations , 2004, SIGHAN@ACL.
[8] Slava M. Katz,et al. Estimation of probabilities from sparse data for the language model component of a speech recognizer , 1987, IEEE Trans. Acoust. Speech Signal Process..
[9] Keh-Yih Su,et al. A Preliminary Study On Unknown Word Problem In Chinese Word Segmentation , 1993, ROCLING/IJCLCLP.
[10] Keh-Yih Su,et al. An Unsupervised Iterative Method for Chinese New Lexicon Extraction , 1997, ROCLING/IJCLCLP.