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• W2108869098 abstract "Automatically acquiring synonymous collocation pairs such as <turn on, OBJ, light> and <switch on, OBJ, light> from corpora is a challenging task. For this task, we can, in general, have a large monolingual corpus and/or a very limited bilingual corpus. Methods that use monolingual corpora alone or use bilingual corpora alone are apparently inadequate because of low precision or low coverage. In this paper, we propose a method that uses both these resources to get an optimal compromise of precision and coverage. This method first gets candidates of synonymous collocation pairs based on a monolingual corpus and a word thesaurus, and then selects the appropriate pairs from the candidates using their translations in a second language. The translations of the candidates are obtained with a statistical translation model which is trained with a small bilingual corpus and a large monolingual corpus. The translation information is proved as effective to select synonymous collocation pairs. Experimental results indicate that the average precision and recall of our approach are 74% and 64% respectively, which outperform those methods that only use monolingual corpora and those that only use bilingual corpora." @default.
• W2108869098 created "2016-06-24" @default.
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• W2108869098 date "2003-01-01" @default.
• W2108869098 modified "2023-10-14" @default.
• W2108869098 title "Synonymous collocation extraction using translation information" @default.
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• W2108869098 doi "https://doi.org/10.3115/1075096.1075112" @default.
• W2108869098 hasPublicationYear "2003" @default.
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