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Extracting biomedical events from pairs of text entities
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In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.archives-ouvertes.fr/hal-01313324 ; BMC Bioinformatics, BioMed Central, 2015, 16 (Suppl 10), pp.S8. ⟨10.1186/1471-2105-16-S10-S8⟩ ; http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-16-S10-S8 (2015)
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Multimodal embedding fusion for robust speaker role recognition in video broadcast
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In: Automatic Speech Recognition and Understanding ; https://hal.archives-ouvertes.fr/hal-01475413 ; Automatic Speech Recognition and Understanding, Dec 2015, Scottsdale, United States. pp.383 - 389, ⟨10.1109/ASRU.2015.7404820⟩ (2015)
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Features of an Error Correction Memory to Enhance Technical Texts Authoring in LELIE
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In: ISSN: 2234-0068 ; International Journal of Knowledge Content Development & Technology ; https://hal.archives-ouvertes.fr/hal-01303853 ; International Journal of Knowledge Content Development & Technology, 2015, vol. 5 (n° 2), pp. 75-101. ⟨10.5865/IJKCT.2015.5.2.075⟩ (2015)
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A Unified Kernel Approach For Learning Typed Sentence Rewritings
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In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ; Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02281919 ; Annual Meeting of the Association for Computational Linguistics, The Association for Computer Linguistics, Jan 2015, Beijing, China. pp.939 - 949, ⟨10.3115/v1/P15-1091⟩ ; https://www.aclweb.org/anthology/P15-1091 (2015)
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A plea for complex categories in ontologies
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In: ISSN: 1570-5838 ; EISSN: 1875-8533 ; Applied Ontology ; https://hal.archives-ouvertes.fr/hal-01567016 ; Applied Ontology, IOS Press, 2015, vol. 10 (n° 3-4), pp. 285-296. ⟨10.3233/AO-150156⟩ (2015)
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Evaluating the impact of using a domain-specific bilingual lexicon on the performance of a hybrid machine translation approach
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In: 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201 ; https://hal-cea.archives-ouvertes.fr/cea-01844051 ; 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201, Sep 2015, Hissar, Bulgaria. pp.579-587 (2015)
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The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content
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Zadeh Kaljahi, Rasoul Samad. - : Dublin City University. School of Computing, 2015. : Dublin City University. National Centre for Language Technology (NCLT), 2015. : Dublin City University. ADAPT, 2015
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In: Zadeh Kaljahi, Rasoul Samad (2015) The role of syntax and semantics in machine translation and quality estimation of machine-translated user-generated content. PhD thesis, Dublin City University. (2015)
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RTM-DCU: Predicting semantic similarity with referential translation machines
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In: Bicici, Ergun (2015) RTM-DCU: Predicting semantic similarity with referential translation machines. In: SemEval-2015: Semantic Evaluation Exercises - International Workshop on Semantic Evaluation, 4-5 June 2015, Denver, CO. USA. (2015)
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| 13 |
An empirical study of segment prioritization for incrementally retrained post-editing-based SMT
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In: Du, Jinhua orcid:0000-0002-3267-4881 , Ankit, Srivastava, Way, Andy orcid:0000-0001-5736-5930 , Maldonado Guerra, Alfredo orcid:0000-0001-8426-5249 and Lewis, David orcid:0000-0002-3503-4644 (2015) An empirical study of segment prioritization for incrementally retrained post-editing-based SMT. In: The Fifteenth MT Summit Conference, 30 Oct-3 Nov 2015, Miami, FL, USA. (2015)
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QuEst for high quality machine translation
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In: Bicici, Ergun (2015) QuEst for high quality machine translation. The Prague Bulletin of Mathematical Linguistics, 103 (1). pp. 43-64. ISSN 1804-0462 (2015)
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Abstract:
In this paper we describe the use of QuEst, a framework that aims to obtain predictions on the quality of translations, to improve the performance of machine translation (MT) systems without changing their internal functioning. We apply QuEst to experiments with: - multiple system translation ranking, where translations produced by different MT systems are ranked according to their estimated quality, leading to gains of up to 2.72 BLEU, 3.66 BLEUs, and 2.17 F1 points; - n-best list re-ranking, where n-best list translations produced by an MT system are re-ranked based on predicted quality scores to get the best translation ranked top, which lead to improvements on sentence NIST score by 0.41 points; - n-best list combination, where segments from an n-best list are combined using a lattice-based re-scoring approach that minimize word error, obtaining gains of 0.28 BLEU points; and - the ITERPE strategy, which attempts to identify translation errors regardless of prediction errors (ITERPE) and build sentence-specific SMT systems (SSSS) on the ITERPE sorted instances identified as having more potential for improvement, achieving gains of up to 1.43 BLEU, 0.54 F1, 2.9 NIST, 0.64 sentence BLEU, and 4.7 sentence NIST points in English to German over the top 100 ITERPE sorted instances.
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Keyword:
Artificial intelligence; Computational linguistics; Machine learning; Machine translating
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URL: http://doras.dcu.ie/20649/
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КЛАСТЕРИЗАЦИЯ ДИАГНОСТИЧЕСКИХ ТЕСТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОГОВ АНГЛИЙСКОГО ЯЗЫКА В СООТВЕТСТВИИ С ТАКСОНОМИЕЙ БЛУМА
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Методика и фреймворк конструирования лингвистических моделей для сетевого мониторинга
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НОСКО В.И.; СВЕЧКАРЕВ В.П.; РОЗИН М.Д.. - : Федеральное государственное автономное образовательное учреждение высшего профессионального образования «Южный федеральный университет», 2015
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A Survey of Applications and Human Motion Recognition with Microsoft Kinect
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In: Electrical Engineering & Computer Science Faculty Publications (2015)
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Analyse syntaxique de l'ancien français : quelles propriétés de la langue influent le plus sur la qualité de l'apprentissage ?
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In: TALN 22 ; https://hal.archives-ouvertes.fr/hal-01251006 ; TALN 22, Jun 2015, Caen, France. ; https://taln2015.greyc.fr/articlesenlignetaln/ (2015)
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| 19 |
IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
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In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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Learning Pretopological Spaces for Lexical Taxonomy Acquisition
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In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; https://hal.archives-ouvertes.fr/hal-01163702 ; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2015, Porto, Portugal (2015)
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