Development of a semantic speech (text) analysis for translation into the Russian sign language
The paper makes an analysis of the existing computer sign language interpretation systems. Their advantages and disadvantages are revealed. The main disadvantage is a lack of an original text semantic analysis unitdesigned to solve the problem of homonyms. A general scheme of the translation system from the sounding Russian language into the Russian sign language is presented which includes a semantic analysis unit. A block of the source code analysis taking into account the semantic component of the Russian language is developed. The semantic module operation is based on the Tuzov dictionary. The semantic analysis algorithm is proposed. The scheme of the semantic analysis of the noun is also described. The text analysis is completed whenevery word has only one semantic description, which solves the problem of ambiguity. The priority areas of the semantic analysis module modification include expanding the base of gestures, implementing complex sentenceparsing, and taking into the account the specifics of the Russian sign language in the algorithm analysis. Translations of texts in the sign language are carried out by analyzing the syntax of the target language. Based on this analysis matching syntax structures are found in which complex sentences are divided into simpler ones. During this conversion an original sentence undergoes some additional modifications. In particular, the participle is replacedby the verb. This transformation is applied to both matched participles. Pronouns are usedto specify the identity of the objects referred to. Then the standard sentence structurein the spoken Russian sign language is built, namely the subject, theattribute, the adverbial modifier, the predicate and the object. Alibrarytodeterminesyntax constructions has been developed.