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• W2896672690 abstract "Aligning a sequence of words to one of its infrequent translations is a difficult task. We propose a simple and original solution to this problem that yields to significant gains over a state-of-the-art transpotting task. Our approach consists in aligning non parallel sentences from the training data in order to reinforce online the alignment models. We show that using only a few pairs of non parallel sentences allows to improve significantly the alignment of infrequent translations." @default.
• W2896672690 created "2018-10-26" @default.
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• W2896672690 date "2012-01-01" @default.
• W2896672690 modified "2023-10-03" @default.
• W2896672690 title "Identifying Infrequent Translations by Aligning Non Parallel Sentences." @default.
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• W2896672690 hasPublicationYear "2012" @default.
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