Results 321 to 330 of about 574,173 (343)
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Statistical Machine Translation and Turkish
2018Machine translation is one of the most important applications of natural language processing. The last 25 years have seen tremendous progress in machine translation, enabled by the development of statistical techniques and availability of large-scale parallel sentence corpora from which statistical models of translation can be learned.
Kemal Oflazer +2 more
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Statistical machine translation
Choice Reviews Online, 2010Mukesh Kumar +3 more
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Statistical machine translation gains respect
Computer, 2005Relatively few researchers have worked on approaches that compare and analyze documents and their already-available translations to determine statistically, without prior linguistic knowledge, the likely meanings of phrases. These statistical systems use this information to translate new documents.
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Analysing terminology translation errors in statistical and neural machine translation
Machine Translation, 2020Rejwanul Haque +2 more
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Parsing statistical machine translation output
2009Despite increasing research into the use of syntax during statistical machine translation, the incorporation of syntax into language models has seen limited success. We present a study of the discriminative abilities of generative syntax-based language models, over and above standard n-gram models, with a focus on potential applications for Statistical
Carter, S., Monz, C.
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Statistical Methods for Machine Translation
2000In this article we describe the statistical approach to machine translation as implemented in the stattrans module of the Verbmobil system. The statistical translation approach uses two types of information: a translation model and a language model. The language model used is an m-gram model.
Stephan Vogel +5 more
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Research on statistical machine translation model based on deep neural network
Computing, 2019Ying Xia
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Technology of Statistical Machine Translation
2022Automatsko strojno prevođenje postalo je nezamjenjiv dio velikog broja organizacija koje posluju u međunarodnom okruženju i koje imaju potrebu generirati veliku količinu prijevoda. Ono je danas općeprihvaćena tehnologija u suvremenim organizacijama, i poslovanje bi bilo nezamislivo bez takvog oblika jezične tehnologije.
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A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation
IEEE/ACM Transactions on Audio Speech and Language Processing, 2018Kehai Chen +7 more
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MTradumàtica : statistical machine translation customisation for translators
2017This article presents the results of the research project ProjecTA, which attempts to bring machine translation within closer reach of translators. This works from the basic assumption that the translator's profile is valid for managing MT-related tasks.
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