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Correction: Biomechanical comparison of single versus double plate osteosynthesis in acromion type III fractures. [PDF]

Orthop Rev (Pavia)
Pastor MF, Nebel D, Degering A, Smith T, Karkosch R, Horstmann H, Ellwein A.   +6 more
europepmc   +1 more source

Editorial: Natural language processing for recommender systems. [PDF]

Front Big Data
Krzywicki A, Bain M, Wobcke W.
europepmc   +1 more source

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Statistical machine translation

2017 1st International Conference on Intelligent Systems and Information Management (ICISIM), 2017
Translation of natural language text using statistical machine translation (SMT) is a supervised machine learning problem. SMT algorithms are trained to learn how to translate by providing many translations produced by human language experts. The field SMT has gained momentum in recent three decades.
A. R. Babhulgaonkar, S. V. Bharad
openaire   +2 more sources

Statistical Machine Translation

DESIDOC Journal of Library & Information Technology, 2010
Statistical 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, Sumit Goswami, G.S. Vatsa, Mukesh Kumar   +3 more
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Statistical Machine Translation

2014
We introduce a brief introduction to statistical machine translation for semitic languages along with an overview of machine translation approaches. We discuss the special consideration that should be taken into account when developing SMT systems for Semitic languages.
Kareem Darwish, Hany Hassan
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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.
openaire   +2 more sources

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, İlknur Durgar-El Kahlout, Reyyan Yeniterzi   +2 more
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Statistical Machine Translation: A Guide for Linguists and Translators

Language and Linguistics Compass, 2011
AbstractThis 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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