MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation
Journal of Intelligent Systems, 2019 Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar +2 more
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Neural Machine Translation Advised by Statistical Machine Translation [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces fluent but inadequate translations (Tu et al. 2016b; 2016a; He et al. 2016; Tu et al. 2017). This is in contrast to conventional Statistical Machine Translation (
Wang, Xing +5 more
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Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation
IEEE Access, 2019 A conventional decoding algorithm is critical to the success of any statistical machine translation system. Providing an enormous amount of space leads to inappropriate slow decoding. There is a trade-off between the translation accuracy and the decoding
Debajyoty Banik +2 more
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Optimizing Statistical Machine Translation for Text Simplification
Transactions of the Association for Computational Linguistics, 2021 Most recent sentence simplification systems use basic machine translation models to learn lexical and syntactic paraphrases from a manually simplified parallel corpus.
Wei Xu +4 more
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Online Learning for Statistical Machine Translation
Computational Linguistics, 2021 We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the field of SMT—for example, in the context of translation
Daniel Ortiz-Martínez
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Optimization for Statistical Machine Translation: A Survey
Computational Linguistics, 2023 In statistical machine translation (SMT), the optimization of the system parameters to maximize translation accuracy is now a fundamental part of virtually all modern systems.
Graham Neubig, Taro Watanabe
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho +6 more
semanticscholar +1 more source
Machine Translation Systems Based on Classical-Statistical-Deep-Learning Approaches
Electronics, 2023 Over recent years, machine translation has achieved astounding accomplishments. Machine translation has become more evident with the need to understand the information available on the internet in different languages and due to the up-scaled exchange in ...
Sonali Sharma +5 more
semanticscholar +1 more source
Statistical Machine Translation [PDF]
Conference of the Association for Machine Translation in the Americas, 2011 Miles Osborne
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches [PDF]
SSST@EMNLP, 2014 Neural machine translation is a relatively new approach to statistical machine translation based purely on neural networks. The neural machine translation models often consist of an encoder and a decoder.
Kyunghyun Cho +3 more
semanticscholar +1 more source