FIELD: text processing.
SUBSTANCE: invention relates to a natural language text processing, in particular to defining the meaning of sentences in the text. In the method for detecting linguistic ambiguity a sentence is analyzed in order to determine syntactic links between its generalized components. On the basis of the syntactic links and the lexical-morphological structure of the sentence a graph of generalized components is built, which is analyzed in order to identify a plurality of the sentence syntactic structures. All syntactic structures are assigned with an estimate of the probability that the structure is the true hypothesis of a complete syntactic structure. Semantic structures corresponding to the syntactic structures are built. First and the second semantic structures are selected, each of which has estimates not lower than the threshold value, herewith the first semantic structure is different from the second semantic structure. Basing on the analysis of differences between the two semantic structures the semantic ambiguity in the sentence is identified.
EFFECT: technical result is providing the ability to automatically find and identify ambiguous phrases or statements in a document, which can be interpreted in several possible ways.
20 cl, 28 dwg
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Authors
Dates
2018-02-01—Published
2013-12-25—Filed