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Methods and apparatus to improve disambiguation and interpretation in automated text analysis using transducers applied on a structured language space
Methods and apparatus to improve disambiguation and interpretation in automated text analysis using transducers applied on a structured language space
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机译:使用换能器应用于结构化语言空间的传感器改进自动文本分析中的消除歧义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. The text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic expressions, 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 may be applied directly to the language-space data by a language-processing virtual machine. The language-processing virtual machine can select and execute code segments identified in the finite-state and/or bi-machine transducers to disambiguate meanings of words in the text.
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