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• W2540744602 abstract "Sentences with different structures may convey the same meaning. Identification of sentences with paraphrases plays an important role in text related research and applications. This work focus on the statistical measures and semantic analysis of Malayalam sentences to detect the paraphrases. The statistical similarity measures between sentences, based on symbolic characteristics and structural information, could measure the similarity between sentences without any prior knowledge but only on the statistical information of sentences. The semantic representation of Universal Networking Language(UNL), represents only the inherent meaning in a sentence without any syntactic details. Thus, comparing the UNL graphs of two sentences can give an insight into how semantically similar the two sentences are. Combination of statistical similarity and semantic similarity score results the overall similarity score. This is the first attempt towards paraphrases of malayalam sentences." @default.
• W2540744602 created "2016-11-04" @default.
• W2540744602 creator A5061055964 @default.
• W2540744602 creator A5075455952 @default.
• W2540744602 date "2013-12-01" @default.
• W2540744602 modified "2023-09-23" @default.
• W2540744602 title "Paraphrase identification of malayalam sentences - an experience" @default.
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• W2540744602 doi "https://doi.org/10.1109/icoac.2013.6921980" @default.
• W2540744602 hasPublicationYear "2013" @default.
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