Вероятности перевода

metric ID: translationprobabilities

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Publication: TIPSTER (2012)

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AbstractThe aim of our software presentation is to demonstrate that corpus-driven bilingual dictionaries generated fully by automatic means are suitable for human use. Need for such dictionaries shows up specifically …...

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Entity based Q&A Retrieval

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Bridging the lexical gap between the user’s question and the question-answer pairs in the Q&A archives has been a major challenge for Q&A retrieval. State-of-the-art approaches address this issue by …...

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Cross-lingual Text Classification Using Topic-Dependent Word Probabilities

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Cross-lingual text classification is a major challenge in natural language processing, since often training data is available in only one language (target language), but not avail- able for the language …...

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DOI: nan

AbstractThis paper reports on an approach and experiments to automatically build a cross-lingual multi-word entity resource. Starting from a collection of millions of acronym/expansion pairs for 22 languages where expansion …...

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Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches

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AbstractSentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate a text …...

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