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Discourse in Statistical Machine Translation
Discours, 2012 Current approaches to statistical machine translation assume that sentences in a text are independent, ignoring the property of connectedness present in virtually all discourse. We provide an extensive overview of the literature about statistical machine
Christian Hardmeier
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Neural Machine Translation Advised by Statistical Machine Translation
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 (
Xing Wang 0007 +5 more
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Taking Statistical Machine Translation to the Student Translator [PDF]
, 2012 Despite the growth of statistical machine translation (SMT) research and development in recent years, it remains somewhat out of reach for the translation community where programming expertise and knowledge of statistics tend not to be commonplace. While
Doherty, Stephen +2 more
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Neural Machine Translation Based on Adaptive Training and Drop Mechanism [PDF]
Jisuanji gongcheng, 2023 In the field of machine translation, enhancing the translation accuracy of phrases is a key strategy for improving overall translation quality. Although statistical machine translation models have substantially improved phrase translation accuracy by ...
Renchong DUAN, Xiangyu DUAN
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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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Toward Building a Comprehensive Phrase-based English-Arabic Statistical Machine Translation System [PDF]
The Egyptian Journal of Language Engineering, 2017 This paper explores a phrase-based statistical machine translation (PBSMT) pipeline for English-Arabic (En-Ar)language pair. The work surveys the most recent experiments conducted to enhance Arabic machine translation in the En-Ar direction.
Sara Ebrahim +3 more
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Statistical machine translation by parsing [PDF]
Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04, 2004 In an ordinary syntactic parser, the input is a string, and the grammar ranges over strings. This paper explores generalizations of ordinary parsing algorithms that allow the input to consist of string tuples and/or the grammar to range over string tuples. Such algorithms can infer the synchronous structures hidden in parallel texts.
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Syntactic phrase-based statistical machine translation [PDF]
, 2006 Phrase-based statistical machine translation (PBSMT) systems represent the dominant approach in MT today. However, unlike systems in other paradigms, it has proven difficult to date to incorporate syntactic knowledge in order to improve translation ...
Hearne, M. +12 more
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Studia Rossica Posnaniensia, 2019 Machine translation (MT) is a relatively new field of science. MT systems are evolving in certain directions. The article discusses the possibilities and the future of systems currently offered to public by the biggest technological companies focusing on
Jakub Olas
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A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics
Pakistan Journal of Engineering Technology & Science, 2023 Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
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