AUTOMATIC COMPOSITION OF SEMANTIC DESCRIPTION OF TARGET LANGUAGE Russian patent published in 2018 - IPC G06F17/27

Abstract RU 2642343 C2

FIELD: physics.

SUBSTANCE: method performs obtaining a linguistic description that includes semantic and syntactic descriptions for the source language, the first text in the source language and the second text in the target language, comparing the first text and the second text so that the text in the source language matches the text in the target language, the analysis of the first text to compose the syntactic and semantic structure of the sentence in the source language. The syntactic structure contains a lexical item of the source language and the semantic structure contains a language-independent representation of a sentence in the source language, the use of a translation dictionary to generate hypotheses about the lexical item of the target language, corresponding to the lexical item of the source language, the comparison of the lexical item of the target language with the appropriate lexical item of the source language on the basis of this hypothesis, and the creation of the semantic-syntactic model based on the results of the comparisons and differences between the target language and the source language.

EFFECT: increasing the completeness of the automatically generated target language model.

20 cl, 15 dwg

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RU 2 642 343 C2

Authors

Selegej Vladimir Pavlovich

Dates

2018-01-24—Published

2013-12-19—Filed