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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Toward a unified approach to statistical language modeling for Chinese Jianfeng Gao; Hai-feng Wang; Mingjing Li... In: http://research.microsoft.com/~jfgao/paper/icassp00.pdf (2002) BASE Show details 2 Toward a Unified Approach to Statistical Language Modeling for Chinese Jianfeng Gao; Mingjing Li; Joshua T. Goodman... In: http://www.research.microsoft.com/~joshuago/talip01.pdf (2002) BASE Show details 3 Toward a unified approach to statistical language modeling for Chinese Jianfeng Gao; Joshua Goodman; Mingjing Li; Kai-fu Lee In: http://research.microsoft.com/~jfgao/paper/cslm.taplip01.pdf (2001) Abstract: This article presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) there is no standard definition of words in Chinese; (2) word boundaries are not marked by spaces; and (3) there is a dearth of training data. Our unified approach automatically and consistently gathers a high-quality training data set from the Web, creates a high-quality lexicon, segments the training data using this lexicon, and compresses the language model, all by using the maximum likelihood principle, which is consistent with trigram model training. We show that each of the methods leads to improvements over standard SLM, and that the combined method yields the best pinyin conversion result reported. Keyword: backoff; character; Chinese language; Chinese pinyin-to-character conversion; domain adaptation; Experimentation; General Terms; Human Factors; Languages; lexicon; Measurement Additional Key Words and Phrases; n-gram model; perplexity; pruning; smoothing; Statistical language modeling; word segmentation URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.2560 http://research.microsoft.com/~jfgao/paper/cslm.taplip01.pdf BASE Hide details 4 Recent progress in robust vocabulary-independent speech recognition Hsiao-wuen Hon; Kai. Fu Lee In: http://acl.ldc.upenn.edu/H/H91/H91-1050.pdf (1991) BASE Show details 5 Automatic new word acquisition: Spelling from acoustics Fil Alleva; Kai-fu Lee In: http://acl.ldc.upenn.edu/H/H89/H89-2036.pdf (1989) BASE Show details 6 Discriminative Training on language model Zheng Chen; Kai-Fu Lee; Ming-ting Li In: http://www.microsoft.com/china/research/group/./downloads/g-nlps/NLPSP/n11.pdf BASE Show details 7 Toward a Unified Approach to Statistical Language Modeling for Chinese Jianfeng Gao; Mingjing Li; Joshua T. Goodman... In: http://research.microsoft.com/~jfgao/paper/talip01.pdf BASE Show details

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