Moses: Open Source Toolkit for Statistical Machine Translation

1.1k indexed citations

Abstract

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About

This paper, published in 2007, received 1.1k indexed citations. Written by Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Richard Zens and Chris Dyer covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (272 citations) and Molecular Biology (79 citations). Published in Edinburgh Research Explorer (University of Edinburgh).

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Countries where authors are citing Moses: Open Source Toolkit for Statistical Machine Translation

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This map shows the geographic impact of Moses: Open Source Toolkit for Statistical Machine Translation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Moses: Open Source Toolkit for Statistical Machine Translation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moses: Open Source Toolkit for Statistical Machine Translation more than expected).

Fields of papers citing Moses: Open Source Toolkit for Statistical Machine Translation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Moses: Open Source Toolkit for Statistical Machine Translation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Moses: Open Source Toolkit for Statistical Machine Translation.

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This paper is also available at doi.org/w27540365.

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