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CSC Senior Project: NLPStats
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In: Computer Science and Software Engineering (2013)
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Misheard Me Oronyminator: Using Oronyms to Validate The Correctness of Frequency Dictionaries
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In: Master's Theses (2013)
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Building specialized bilingual lexicons using large-scale background knowledge
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In: 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844695 ; 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, Oct 2013, Seattle, United States. pp.479-489 (2013)
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Context vector disambiguation for bilingual lexicon extraction from comparable corpora
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In: 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844697 ; 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013, Aug 2013, Sofia, Bulgaria. pp.759-764 (2013)
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Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs
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In: Mota, Mailce and Resende, Natália orcid:0000-0002-5248-2457 (2013) Research methods in psycholinguistics: developing a tool for the automatic generation of pseudo-verbs. Letras de Hoje, 48 (1). pp. 100-107. ISSN 0101-3335 (2013)
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Parser accuracy in quality estimation of machine translation: a tree kernel approach
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In: Kaljahi, Rasoul Samed Zadeh, Foster, Jennifer orcid:0000-0002-7789-4853 , Rubino, Raphael, Roturier, Johann and Hollowood, Fred (2013) Parser accuracy in quality estimation of machine translation: a tree kernel approach. In: International Joint Conference on Natural Language Processing (IJCNLP), 14-18 Oct 2013, Nagoya, Japan. (2013)
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Abstract:
We report on experiments designed to investigate the role of syntactic features in the task of quality estimation for machine translation, focusing on the effect of parser accuracy. Tree kernels are used to predict the segment-level BLEU score of English- French translations. In order to examine the effect of the accuracy of the parse tree on the accuracy of the quality estimation system, we experiment with various pars- ing systems which differ substantially with respect to their Parseval f-scores. We find that it makes very little difference which system we choose to use in the quality estimation task – this effect is particularly apparent for source-side English parse trees.
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Keyword:
Computational linguistics; Machine learning; Machine translating; Parser accuracy
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URL: http://doras.dcu.ie/19961/
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Sentiment analysis of political tweets: towards an accurate classifier
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In: Bakliwal, Akshat, Foster, Jennifer orcid:0000-0002-7789-4853 , van der Puil, Jennifer, O'Brien, Ron, Tounsi, Lamia and Hughes, Mark (2013) Sentiment analysis of political tweets: towards an accurate classifier. In: NAACL Workshop on Language Analysis in Social Media, 13 June 2013, Atlanta, GA. (2013)
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Topic models for translation quality estimation for gisting purposes
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In: Rubino, Raphael, de Souza, Jose, Foster, Jennifer orcid:0000-0002-7789-4853 and Specia, Lucia (2013) Topic models for translation quality estimation for gisting purposes. In: MT Summit XIV, 2-6 Sept. 2013, Nice, France. (2013)
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DCU-Symantec at the WMT 2013 Quality Estimation Shared Task
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In: Rubino, Raphael, Wagner, Joachim orcid:0000-0002-8290-3849 , Foster, Jennifer orcid:0000-0002-7789-4853 , Roturier, Johann, Samad Zadeh Kaljahi, Rasoul and Hollowood, Fred (2013) DCU-Symantec at the WMT 2013 Quality Estimation Shared Task. In: 8th Workshop on Statistical Machine Translation, 8-9 Aug 2013, Sofia, Bulgaria. ISBN 978-1-937284-57-2 (2013)
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Predicting sentence translation quality using extrinsic and language independent features
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In: Bicici, Ergun, Groves, Declan and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Predicting sentence translation quality using extrinsic and language independent features. Machine Translation, 27 (3-4). pp. 171-192. ISSN 0922-6567 (2013)
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Feature decay algorithms for fast deployment of accurate statistical machine translation systems
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In: Bicici, Ergun (2013) Feature decay algorithms for fast deployment of accurate statistical machine translation systems. In: ACL 2013 8th workshop on statistical machine translation, 8-9 Aug 2013, Sofia, Bulgaria. (2013)
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