Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. Paraphrasing is also useful in the evaluation of machine translation, as well as semantic parsing and generation of new samples to expand existing corpora.
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| - Paraphrasing (computational linguistics) (en)
- Paráfrase (linguística computacional) (pt)
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| - Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. Paraphrasing is also useful in the evaluation of machine translation, as well as semantic parsing and generation of new samples to expand existing corpora. (en)
- A paráfrase ou o parafraseamento em linguística computacional é a tarefa de processamento de linguagem natural de detectar e gerar paráfrases. As aplicações da paráfrase são variadas, incluindo recuperação de informações, , e detecção de plágio. A paráfrase também é útil na , bem como na análise semântica e na geração de novas amostras para expandir os corpora existentes. (pt)
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| - Paraphrase or paraphrasing in computational linguistics is the natural language processing task of detecting and generating paraphrases. Applications of paraphrasing are varied including information retrieval, question answering, text summarization, and plagiarism detection. Paraphrasing is also useful in the evaluation of machine translation, as well as semantic parsing and generation of new samples to expand existing corpora. (en)
- A paráfrase ou o parafraseamento em linguística computacional é a tarefa de processamento de linguagem natural de detectar e gerar paráfrases. As aplicações da paráfrase são variadas, incluindo recuperação de informações, , e detecção de plágio. A paráfrase também é útil na , bem como na análise semântica e na geração de novas amostras para expandir os corpora existentes. (pt)
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