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• W2876799257 abstract "Wikipedia provides an invaluable source of parallel multilingual data, which are in high demand for various sorts of linguistic inquiry, including both theoretical and practical studies. We introduce a novel end-to-end neural model for large-scale parallel data harvesting from Wikipedia. Our model is language-independent, robust, and highly scalable. We use our system for collecting parallel German-English, French-English and Persian-English sentences. Human evaluations at the end show the strong performance of this model in collecting high-quality parallel data. We also propose a statistical framework which extends the results of our human evaluation to other language pairs. Our model also obtained a state-of-the-art result on the German-English dataset of BUCC 2017 shared task on parallel sentence extraction from comparable corpora." @default.
• W2876799257 created "2018-07-19" @default.
• W2876799257 creator A5024507027 @default.
• W2876799257 date "2018-08-01" @default.
• W2876799257 modified "2023-10-18" @default.
• W2876799257 title "Deep Neural Networks at the Service of Multilingual Parallel Sentence Extraction." @default.
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