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a Statistical Machine Translation Porallel Corpus in Bi-Text Training Models (static) Extracion guage [回中一二 Figure 2: Phrase-based SmT Frame work o Language model assigns a probability to a sequence of words. (n-gram)[4] PLM(S)=p(w, 1wi=n+) =1 [4 F Song and W B Croft( 1999). "A General Language Model for Information Retrieval". Research and Development in Information Retrieval 279-280 (9/84)Statistical Machine Translation  Language model assigns a probability to a sequence of words. (n-gram) [4] Figure 2: Phrase-based SMT Framework Language Model [4] F Song and W B Croft (1999). "A General Language Model for Information Retrieval". Research and Development in Information Retrieval. pp. 279–280.. 1 1 1 1 ( ) ( | ) l i LM i i n i p s p w w + − − + = = (9/84) (1)
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