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METHODS AND APPARATUS TO IMPROVE DISAMBIGUATION AND INTERPRETATION IN AUTOMATED TEXT ANALYSIS USING STRUCTURED LANGUAGE SPACE AND TRANSDUCERS APPLIED ON AUTOMATONS
METHODS AND APPARATUS TO IMPROVE DISAMBIGUATION AND INTERPRETATION IN AUTOMATED TEXT ANALYSIS USING STRUCTURED LANGUAGE SPACE AND TRANSDUCERS APPLIED ON AUTOMATONS
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机译:利用结构化语言空间和自动翻译器改进自动文本分析中的歧义化和解释的方法和装置
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摘要
Methods and apparatus for automated processing of natural language text is described. Received text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic constraints, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that are used by a language-processing virtual machine to process the language-space data. The language-processing virtual machine selects and executes code segments in accordance with path transitions of the transducers when applied on automatons to disambiguate meanings of words in the received text.
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