Abstract: Disclosed are systems, computer-readable mediums, and methods for detecting language ambiguity. A sentence is analyzed to determine syntactic relationships among generalized constituents of the sentence. A graph of the generalized constituents is formed based on syntactic relationships and a lexical-morphological structure of the sentence. The graph is analyzed to determine a plurality of syntactic structures of the sentence. Each syntactic structure is rated on its probability that the syntactic structure is an accurate hypothesis about a full syntactic structure of the sentence. Semantic structures corresponding to the syntactic structures are determined. A first semantic structure and a second semantic structure of the semantic structures are selected, where the first and second semantic structures are different and each have a corresponding syntactic structure having a rating of at least a threshold value.

Abstract: Systems and methods for producing training sets for machine learning methods by performing deep semantic analysis of natural language texts.

Abstract: Disclosed are methods, systems, and computer-readable mediums for creating a semantic description of a target language having full language descriptions of a source language. Parallel text of a source language and a target language is aligned such that text in the source language is correlated to text in the target language. The text in the source language is parsed to construct a syntactic structure, comprising a lexical element, and a semantic structure, of the source language. A hypothesis is generated about a lexical element of the target language that corresponds to the lexical element of the source language. The lexical element of the target language is compared, based on the hypothesis, to the corresponding lexical element of the source language. A syntactic model for the lexical element of the target language is associated with a syntactic model for the lexical element of the source language.

Abstract: Disclosed are systems, computer-readable mediums, and methods for detecting language ambiguity. A sentence is analyzed to determine syntactic relationships among generalized constituents of the sentence. A graph of the generalized constituents is formed based on syntactic relationships and a lexical-morphological structure of the sentence. The graph is analyzed to determine a plurality of syntactic structures of the sentence. Each syntactic structure is rated on its probability that the syntactic structure is an accurate hypothesis about a full syntactic structure of the sentence. Semantic structures corresponding to the syntactic structures are determined. A first semantic structure and a second semantic structure of the semantic structures are selected, where the first and second semantic structures are different and each have a corresponding syntactic structure having a rating of at least a threshold value.