Results 21 to 30 of about 72,796 (260)
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 ...
Mikel Artetxe +2 more
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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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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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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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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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Clause restructuring for statistical machine translation [PDF]
Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05, 2005 We describe a method for incorporating syntactic information in statistical machine translation systems. The first step of the method is to parse the source language string that is being translated. The second step is to apply a series of transformations to the parse tree, effectively reordering the surface string on the source language side of the ...
Michael Collins 0001 +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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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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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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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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