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• W2149593784 abstract "We present an approach to mine comparable data for parallel sentences using translation-based cross-lingual information retrieval (CLIR). By iteratively alternating between the tasks of retrieval and translation, an initial general-domain model is allowed to adapt to in-domain data. Adaptation is done by training the translation system on a few thousand sentences retrieved in the step before. Our setup is time- and memory-efficient and of similar quality as CLIR-based adaptation on millions of parallel sentences." @default.
• W2149593784 created "2016-06-24" @default.
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• W2149593784 date "2013-08-01" @default.
• W2149593784 modified "2023-09-26" @default.
• W2149593784 title "Task Alternation in Parallel Sentence Retrieval for Twitter Translation" @default.
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