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Statistical Machine Translation
DESIDOC Journal of Library & Information Technology, 2010Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The quality of translation depends on the data provided for translation learning. A huge parallel corpus is required for performing the statistical machine translation. The aim of this paper is to explore SMT using the Moses toolkit for creating a German-English
Nikita Joshi +3 more
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Statistical machine translation
ACM Computing Surveys, 2008Statistical 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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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
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
End-to-end statistical machine translation with zero or small parallel texts†
Natural Language Engineering, 2016We use bilingual lexicon induction techniques, which learn translations from monolingual texts in two languages, to build an end-to-end statistical machine translation (SMT) system without the use of any bilingual sentence-aligned parallel corpora.
Ann Irvine, Chris Callison-Burch
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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: A Guide for Linguists and Translators
Language and Linguistics Compass, 2011AbstractThis paper presents an overview of Statistical Machine Translation (SMT), which is currently the dominant approach in Machine Translation (MT) research. InWay and Hearne (2011), we describe how central linguists and translators are to the MT process, so that SMT developers and researchers may better understand how to include these groups in ...
Andy Way, Mary Hearne
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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.
Christof Tillmann +5 more
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On the Statistical Machine Translation Studies
Applied Mechanics and Materials, 2013Machine translation (MT) is one of the core application of natural language processing and an important branch of artificial intelligence research; statistical methods have already become the mainstream of machine translation. This paper explores the comparative analysis on the translation model of statistical natural language processing based on the ...
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Analysing terminology translation errors in statistical and neural machine translation
Machine Translation, 2020Rejwanul Haque +2 more
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