Lightly supervised word-sense translation-error detection and resolution in an interactive conversational spoken language translation system

Author:

Ananthakrishnan Sankaranarayanan,Mehay Dennis N.,Hewavitharana Sanjika,Kumar Rohit,Roy Matt,Kan Enoch

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software

Reference34 articles.

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2. Apidianaki M, He Y (2010) An algorithm for cross-lingual sense-clustering tested in a MT evaluation setting. In: Federico M, Lane I, Paul M, Yvon F, Mariani J (eds) Proceedings of the 7th international workshop on spoken language translation, Paris, France, pp 219–226, http://www.mt-archive.info/IWSLT-2010-Apidianaki.pdf

3. Bach N, Huang F, Al-Onaizan Y (2011) Goodness: a method for measuring machine translation confidence. In: Proceedings of the 49th annual meeting of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Portland, Oregon, USA, pp 211–219, http://www.aclweb.org/anthology/P11-1022

4. Banerjee S, Lavie A (2005) METEOR: an automatic metric for MT evaluation with improved correlation with human judgments. In: Proceedings of the ACL workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization, Association for Computational Linguistics, Ann Arbor, Michigan, USA, pp 65–72, http://www.aclweb.org/anthology/W/W05/W05-0909

5. Bansal M, DeNero J, Lin D (2012) Unsupervised translation sense clustering. In: Proceedings of the 2012 conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Montréal, Canada, pp 773–782, http://www.aclweb.org/anthology/N12-1095

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