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This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to "artificial language", such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or(More)
A novel sentence similarity measure that based on grammar and semantic corpus is presented. The well-known problem in the field of semantic processing, such as natural language processing, QA systems, expert systems, search engines, etc., is trying to evaluate the semantic similarity between sentences or articles. The major challenge is to evaluate the(More)
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