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Evaluation of English–Slovak Neural and Statistical Machine Translation [PDF]
Applied Sciences, 2021 This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak.
Lucia Benkova +3 more
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Syntax-Based Statistical Machine Translation [PDF]
Computational Linguistics, 2017 Christian Hadiwinoto
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Unsupervised Statistical Machine Translation [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train Neural Machine Translation (NMT) systems from monolingual corpora only (Artetxe et al., 2018c; Lample et al., 2018). Despite the potential of this approach for low-resource settings, existing systems are far behind their supervised ...
Artetxe Zurutuza, Mikel +2 more
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Statistical Machine Translation
Computational Linguistics, 2013 Statistical Machine Translation (SMT) is an approach to automatic text translation based on the use of statistical models and examples of translations. SMT is the current dominant research paradigm for machine translation and has been attracting significant commercial interest in recent years. In this chapter, the authors introduce the rationale behind
Lucia Specia
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Robust Tuning Datasets for Statistical Machine Translation
, 2017 We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter tuning algorithms.
Preslav Nakov, Stephan Vogel
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Syntactic phrase-based statistical machine translation [PDF]
2006 IEEE Spoken Language Technology Workshop, 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 ...
Hassan, Hany +3 more
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Supertagged phrase-based statistical machine translation [PDF]
, 2007 Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system performance to deteriorate.
Hassan, Hany, Sima'an, Khalil, Way, Andy
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Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
Mathematics, 2023 This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT).
Jani Dugonik +3 more
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Translation Mechanism of Neural Machine Algorithm for Online English Resources
Complexity, 2021 At the level of English resource vocabulary, due to the lack of vocabulary alignment structure, the translation of neural machine translation has the problem of unfaithfulness.
Yanping Ye
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Computer Assisted Methods in Engineering and Science, 2022 Word sense disambiguation deals with deciding the word’s precise meaning in a certain specific context. One of the major problems in natural language processing is lexicalsemantic ambiguity, where a word has more than one meaning.
Sunita Rawat
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