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Devlin, 2009 - Google Patents

Lexical features for statistical machine translation

Devlin, 2009

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Document ID
1126848617268672456
Author
Devlin J
Publication year

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In modern phrasal and hierarchical statistical machine translation systems, two major features model translation: rule translation probabilities and lexical smoothing scores. The rule translation probabilities are computed as maximum likelihood estimates (MLEs) of an …
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Classifications

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    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/28—Processing or translating of natural language
    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
    • G—PHYSICS
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    • G06F17/2705—Parsing
    • G06F17/2715—Statistical methods
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    • G06F17/3066—Query translation
    • G06F17/30669—Translation of the query language, e.g. Chinese to English
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/2795—Thesaurus; Synonyms
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    • G06F17/289—Use of machine translation, e.g. multi-lingual retrieval, server side translation for client devices, real-time translation
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    • G10L15/00—Speech recognition
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    • G10L15/18—Speech classification or search using natural language modelling

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