Results 21 to 30 of about 574,173 (343)
Progress in Machine Translation
Engineering, 2022 After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang +4 more
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Journal of ICT, 2017 Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades.
Zakaria El Maazouzi +2 more
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İstanbul Üniversitesi Çeviribilim Dergisi, 2022 Corpus-based machine translation (MT) has been the main approach to developing and implementing MT systems in both academia and the industry over the last three decades.
Gökhan Doğru
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Automatic evaluation of the quality of machine translation of a scientific text: the results of a five-year-long experiment [PDF]
E3S Web of Conferences, 2021 We report on various approaches to automatic evaluation of machine translation quality and describe three widely used methods. These methods, i.e. methods based on string matching and n-gram models, make it possible to compare the quality of machine ...
Ulitkin Ilya +3 more
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Lexical Diversity in Statistical and Neural Machine Translation
Information, 2022 Neural machine translation systems have revolutionized translation processes in terms of quantity and speed in recent years, and they have even been claimed to achieve human parity.
Mojca Brglez, Špela Vintar
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Phrasetable smoothing for statistical machine translation [PDF]
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006 We discuss different strategies for smoothing the phrasetable in Statistical MT, and give results over a range of translation settings. We show that any type of smoothing is a better idea than the relative-frequency estimates that are often used. The best smoothing techniques yield consistent gains of approximately 1% (absolute) according to the BLEU ...
Foster, George +2 more
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Moses: Open Source Toolkit for Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2007 We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language ...
Philipp Koehn +13 more
semanticscholar +1 more source
Minimum Error Rate Training in Statistical Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2003 Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is only a loose relation to the final translation quality on unseen text.
F. Och
semanticscholar +1 more source
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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Lattice Desegmentation for Statistical Machine Translation [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014 Morphological segmentation is an effective sparsity reduction strategy for statistical machine translation (SMT) involving morphologically complex languages. When translating into a segmented language, an extra step is required to desegment the output; previous studies have desegmented the 1-best output from the decoder.
Salameh, Mohammad +2 more
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