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Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [1] : 293 [2] : 1 and can produce translations that rival human translations when ...
In November 2016, Google Neural Machine Translation system (GNMT) was introduced. Since then, Google Translate began using neural machine translation (NMT) in preference to its previous statistical methods (SMT) [1] [15] [16] [17] which had been used since October 2007, with its proprietary, in-house SMT technology.
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Jun 30, 2020 · Neural machine translation (NMT) is an approach to machine translation (MT) that uses deep learning techniques, a broad area of machine learning based on deep artificial neural networks (NNs). The book Neural Machine Translation by Philipp Koehn targets a broad range of readers including researchers, scientists, academics, advanced undergraduate or postgraduate students, and users of MT ...
- Wandri Jooste, Rejwanul Haque, Andy Way
- 2021
Aug 7, 2019 · Machine translation is the task of automatically converting source text in one language to text in another language. In a machine translation task, the input already consists of a sequence of symbols in some language, and the computer program must convert this into a sequence of symbols in another language. — Page 98, Deep Learning, 2016.
Jul 9, 2021 · Deep neural networks (DNN) have achieved great success in several research areas like information retrieval, image processing, and speech recognition. In the field of machine translation, neural machine translation (NMT) has been able to overcome the statistical machine translation (SMT), which has been the dominant technology for a long-term span of time. The recent machine translation ...
- Shereen A. Mohamed, Ashraf A. Elsayed, Y. F. Hassan, Mohamed A. Abdou
- 2021
Nov 22, 2016 · In “ Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation ”, we address this challenge by extending our previous GNMT system, allowing for a single system to translate between multiple languages. Our proposed architecture requires no change in the base GNMT system, but instead uses an additional “token ...
Aug 27, 2019 · Abstract. The emergence of neural machine translation (NMT) has revolutionized the filed of machine translation. In the first section, we introduce the fundamental of NMT models. Then we study the advantages of NMT over traditional statistical machine translations (SMT), some of its existing challenges and recent research efforts.
