Results 31 to 40 of about 574,173 (343)
NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task [PDF]
Conference on Machine Translation, 2018 This paper presents the NICT’s participation to the WMT18 shared news translation task. We participated in the eight translation directions of four language pairs: Estonian-English, Finnish-English, Turkish-English and Chinese-English.
Benjamin Marie +4 more
semanticscholar +1 more source
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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Translation model pruning via usage statistics for statistical machine translation [PDF]
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers on XX - NAACL '07, 2007 We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system to a large amount of text and calculates usage statistics for the phrase pairs. Using these statistics the relevance of each phrase pair can be estimated.
Eck, M., Vogel, S., Waibel, A.
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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 the concept of SMT is relatively straightforward, its implementation in functioning systems remains
Doherty, Stephen +2 more
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DOCUMENT TRANSLATION RETRIEVAL BASED ON STATISTICAL MACHINE TRANSLATION TECHNIQUES [PDF]
Applied Artificial Intelligence, 2011 We compare different strategies to apply statistical machine translation techniques in order to retrieve documents that are a plausible translation of a given source document. Finding the translated version of a document is a relevant task; for example, when building a corpus of parallel texts that can help to create and evaluate new machine ...
Sánchez-Martínez, Felipe +1 more
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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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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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Machine Translation, 2019 This paper presents a comparison of post-editing (PE) changes performed on English-to-Finnish neural (NMT), rule-based (RBMT) and statistical machine translation (SMT) output, combining a product-based and a process-based approach.
Maarit Koponen +2 more
semanticscholar +1 more source
Topics in statistical machine translation [PDF]
Tutorial Abstracts of ACL-IJCNLP 2009 on - ACL-IJCNLP '09, 2009 In the past, we presented tutorials called "Introduction to Statistical Machine Translation", aimed at people who know little or nothing about the field and want to get acquainted with the basic concepts. This tutorial, by contrast, goes more deeply into selected topics of intense current interest. We aim at two types of participants: 1.
Kevin Knight, Philipp Koehn
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Conference on Machine Translation, 2019 This paper presents the NICT’s participation in the WMT19 unsupervised news translation task. We participated in the unsupervised translation direction: German-Czech.
Benjamin Marie +6 more
semanticscholar +1 more source