Results 171 to 180 of about 594,786 (216)

Statistical machine translation

ACM Computing Surveys, 2008
Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. By examining many samples of human-produced translation, SMT algorithms automatically learn how to translate. SMT has made tremendous strides in less than two decades, and new ideas are constantly introduced.
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Supervised OCR Error Detection and Correction Using Statistical and Neural Machine Translation Methods

Journal for Language Technology and Computational Linguistics, 2018
For indexing the content of digitized historical texts, optical character recognition (OCR) errors are a hampering problem. To explore the effectivity of new strategies for OCR post-correction, this article focuses on methods of character-based machine ...
Chantal Amrhein, S. Clematide
semanticscholar   +1 more source

Statistical Machine Translation

2009
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two ...
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Statistical Machine Translation

2023
Yang Liu, Min Zhang
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Statistical Machine Translation and Turkish

2018
Machine 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, Reyyan Yeniterzi, İlknur Durgar-El Kahlout   +2 more
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Statistical machine translation

Choice Reviews Online, 2010
Mukesh Kumar, G.S. Vatsa, Nikita Joshi, Sumit Goswami   +3 more
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Statistical machine translation gains respect

Computer, 2005
Relatively 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, 2020
Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way   +2 more
semanticscholar   +1 more source

Parsing statistical machine translation output

2009
Despite 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

2000
In 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, Franz Josef Och, Christof Tillmann, Sonja Nießen, Hassan Sawaf, Hermann Ney   +5 more
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