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METHOD AND SYSTEM FOR OBTAINING SEMANTICALLY VALID CHUNKS FOR NATURAL LANGUAGE APPLICATIONS
METHOD AND SYSTEM FOR OBTAINING SEMANTICALLY VALID CHUNKS FOR NATURAL LANGUAGE APPLICATIONS
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机译:获取自然语言应用中的有效校验的方法和系统
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摘要
A system for obtaining semantically valid chunks for natural language application queries, said system comprising: predicate identifying means for identifying predicates in a natural language query; object identifying means for identifying objects in said natural language query; - identification means for identifying comparison operators in said natural language query; first binding means adapted to bind said identified predicate with said identified objects using said identified comparison operator; mathematical operator dictionary means adapted to replace all occurrences of string comparator operators in said natural language query with corresponding mathematical operators; second binding means for binding predicates and objects of same data type; compatibility checking means for checking compatibility of bound predicates and objects using domain ontology; third binding means for binding string objects (not previously bound to any predicate) to their compatible predicates using domain ontology; - constraint predicate set forming means for forming constraint predicate sets from the remaining predicates of the query in order to find semantically valid chunk sets from said natural language query; syntactic parsing means adapted to syntactically parse natural language query for absolving ambiguities; and - depth determination means, using domain ontology, for determining depth between any two predicates, thereby providing a syntactically and semantically valid chunk set adapted to be used as a query.
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