Results 1 to 10 of about 326,850 (313)
Pushdown Automata in Statistical Machine Translation [PDF]
Computational Linguistics, 2023 This article describes the use of pushdown automata (PDA) in the context of statistical machine translation and alignment under a synchronous context-free grammar. We use PDAs to compactly represent the space of candidate translations generated by the grammar when applied to an input sentence. General-purpose PDA algorithms for replacement, composition,
Cyril Allauzen +4 more
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Decoding algorithm in statistical machine translation [PDF]
Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics -, 1997 Decoding algorithm is a crucial part in statistical machine translation. We describe a stack decoding algorithm in this paper. We present the hypothesis scoring method and the heuristics used in our algorithm. We report several techniques deployed to improve the performance of the decoder.
Ye‐Yi Wang, Alex Waibel
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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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String-to-Dependency Statistical Machine Translation [PDF]
Computational Linguistics, 2021 We propose a novel string-to-dependency algorithm for statistical machine translation. This algorithm employs a target dependency language model during decoding to exploit long distance word relations, which cannot be modeled with a traditional n-gram language model.
Libin Shen, Jinxi Xu, Ralph Weischedel
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Online Learning for Statistical Machine Translation [PDF]
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 agencies or the daily translation of government proceedings.
Daniel Ortiz-Martínez
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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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Optimization for Statistical Machine Translation: A Survey [PDF]
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. In this article, we survey 12 years of research on optimization for SMT, from the seminal work on discriminative models (Och and Ney 2002) and minimum error rate training (Och ...
Graham Neubig, Taro Watanabe
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Initial explorations in English to Turkish statistical machine translation [PDF]
, 2006 This paper presents some very preliminary results for and problems in developing a statistical machine translation system from English to Turkish. Starting with a baseline word model trained from about 20K aligned sentences, we explore various ways of ...
Durgar El-Kahlout, İlknur +2 more
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Discourse in Statistical Machine Translation [PDF]
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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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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