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Example-Based Statistical Machine Translation

open access: yesExample-Based Statistical Machine Translation
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Statistical Machine Translation

NLP of Semitic Languages, 2014
We introduce a brief introduction to statistical machine translation for semitic languages along with an overview of machine translation approaches. We discuss the special consideration that should be taken into account when developing SMT systems for Semitic languages.
Hany Hassan, Kareem Darwish
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Statistical machine translation

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017
Translation of natural language text using statistical machine translation (SMT) is a supervised machine learning problem. SMT algorithms are trained to learn how to translate by providing many translations produced by human language experts. The field SMT has gained momentum in recent three decades.
A. R. Babhulgaonkar, S. V. Bharad
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Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation

IEEE/ACM Transactions on Audio Speech and Language Processing, 2018
Neural machine translation (NMT) has gained more and more attention in recent years, mainly due to its simplicity yet state-of-the-art performance. However, previous research has shown that NMT suffers from several limitations: source coverage guidance ...
Xing Wang, Zhaopeng Tu, Min Zhang
semanticscholar   +1 more source

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