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Sprachliche Steuerung in der Technischen Dokumentation mit Controlled-Language-Checkern und Authoring-Memory-Systemen : Untersuchungen zur Verbesserung der Effizienz von Schreib- und Übersetzungsprozessen
Demiröz, Verena. - Frankfurt am Main : Peter Lang Edition, 2016
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UB Frankfurt Linguistik
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2
La sémantique linguistique en vision périphérique
François, Jacques; Geeraerts, Dirk. - Paris : Dunod Éditeur, 2016
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UB Frankfurt Linguistik
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3
Reordering Space Design in Statistical Machine Translation
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01620902 ; Language Resources and Evaluation, Springer Verlag, 2016, 50, pp.375-410. ⟨10.1007/s10579-016-9353-8⟩ (2016)
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Language Model Data Augmentation for Keyword Spotting
In: Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-01837186 ; Annual Conference of the International Speech Communication Association , Jan 2016, San Francisco, United States (2016)
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LIMSI@WMT16: Machine Translation of News
In: First Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01388659 ; First Conference on Machine Translation, Aug 2016, Berlin, Germany. pp.239--245, ⟨10.18653/v1/W16-2304⟩ ; https://statmt.org/wmt16 (2016)
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6
A new language model based on possibility theory
In: Springer LNCS series, Lecture Notes in Computer Science. ; https://hal.inria.fr/hal-01336535 ; Springer LNCS series, Lecture Notes in Computer Science., 2016 (2016)
Abstract: Nous n'avons pas encore la date officielle de parution ; International audience ; Language modeling is a very important step in several NLP applications. Most of the current language models are based on probabilistic methods. In this paper, we propose a new language modeling approach based on the possibility theory. Our goal is to suggest a method for estimating the possibility of a word-sequence and to test this new approach in a machine translation system.We propose a word-sequence possibilistic measure, which can be estimated from a corpus. We proceeded in two ways: first, we checked the behaviour of the newapproach compared with the existing work. Second, we compared the new language model with the probabilistic one used in statistical MTsystems. The results, in terms of the METEOR metric, show that the possibilistic-language model is better than the probabilistic one. However, in terms of BLEU and TER scores, the probabilistic model remains better.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Language Model; Machine Translation; probabilistic approach; the possibility theory
URL: https://hal.inria.fr/hal-01336535
https://hal.inria.fr/hal-01336535/file/paper_57.pdf
https://hal.inria.fr/hal-01336535/document
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СИНТАКСИЧЕСКАЯ МНОГОЗНАЧНОСТЬ И НЕОДНОЗНАЧНОСТЬ В ПЕРСПЕКТИВЕ МАШИННОГО ПЕРЕВОДА
КОЗЕРЕНКО ЕЛЕНА БОРИСОВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Московский педагогический государственный университет», 2016
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ПРОЕКТ СОЗДАНИЯ КИТАЙСКО-РУССКОГО ПАРАЛЛЕЛЬНОГО КОРПУСА ОФИЦИАЛЬНО-ДЕЛОВЫХ ТЕКСТОВ С ДИСКУРСИВНО-СТРУКТУРНОЙ РАЗМЕТКОЙ
МУХИН МИХАИЛ ЮРЬЕВИЧ; ЯН И. - : Государственное образовательное учреждение высшего профессионального образования «Южно-Уральский государственный университет», 2016
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ПРОБЛЕМА ВЫБОРА ЭКВИВАЛЕНТНЫХ ТЕРМИНОВ И ОПРЕДЕЛЕНИЯ ОБЛАСТИ ТЕРМИНОЛОГИИ ПРИ ПЕРЕВОДЕ АНГЛОЯЗЫЧНЫХ ХУДОЖЕСТВЕННЫХ ПРОИЗВЕДЕНИЙ НА РУССКИЙ ЯЗЫК
СИСЕЙКИНА ИРИНА АЛЕКСАНДРОВНА. - : Государственное образовательное учреждение высшего профессионального образования «Пензенский государственный университет», 2016
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10
Measuring acceptability of machine translated enterprise content
Castilho, Sheila. - : Dublin City University. Faculty of Humanities and Social Science, 2016. : Dublin City University. School of Applied Language and Intercultural Studies, 2016. : Dublin City University. ADAPT, 2016
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2016) Measuring acceptability of machine translated enterprise content. PhD thesis, Dublin City University. (2016)
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11
Combining translation memories and syntax-based SMT: experiments with real industrial data
In: Li, Liangyou orcid:0000-0002-0279-003X , Parra Escartín, Carla orcid:0000-0002-8412-1525 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Combining translation memories and syntax-based SMT: experiments with real industrial data. Baltic Journal of Modern Computing, 4 (2). pp. 165-177. ISSN 2255-8942 (2016)
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Dependency graph-based statistical machine translation
Li, Liangyou. - : Dublin City University. School of Computing, 2016
In: Li, Liangyou orcid:0000-0002-0279-003X (2016) Dependency graph-based statistical machine translation. PhD thesis, Dublin City University. (2016)
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13
Automatic construction of discourse corpora for dialogue translation
In: Wang, Longyue orcid:0000-0002-9062-6183 , Zhang, Xiaojun, Tu, Zhaopeng, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Automatic construction of discourse corpora for dialogue translation. In: 10th Language Resources and Evaluation Conference, 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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14
On the lookout for accessible translation aids: current scenario and new horizons for blind translation students and professionals
In: Rodríguez Vázquez, Silvia orcid:0000-0002-9945-5544 (2016) On the lookout for accessible translation aids: current scenario and new horizons for blind translation students and professionals. Journal of Translator Education and Translation Studies, 1 (2). pp. 115-135. (2016)
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15
Human factors in machine translation and post-editing among institutional translators
In: Cadwell, Patrick orcid:0000-0002-2371-4378 , Castilho, Sheila orcid:0000-0002-8416-6555 , O'Brien, Sharon orcid:0000-0003-4864-5986 and Mitchell, Linda orcid:0000-0002-1883-9037 (2016) Human factors in machine translation and post-editing among institutional translators. Translation Spaces, 5 (2). pp. 222-243. ISSN 2211-3711 (2016)
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Using SMT for OCR error correction of historical texts
In: Afli, Haithem orcid:0000-0002-7449-4707 , Qui, Zhengwei, Way, Andy orcid:0000-0001-5736-5930 and Sheridan, Páraic (2016) Using SMT for OCR error correction of historical texts. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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ProphetMT: a tree-based SMT-driven controlled language authoring/post-editing tools
In: Wu, Xiaofeng, Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2016) ProphetMT: a tree-based SMT-driven controlled language authoring/post-editing tools. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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18
Enhancing access to online education: quality machine translation of MOOC content
In: Kordoni, Valia, van den Bosch, Antal orcid:0000-0003-2493-656X , Kermanidis, Katia Lida orcid:0000-0002-3270-5078 , Sosoni, Vilelmini orcid:0000-0002-9583-4651 , Cholakov, Kostadin, Hendrickx, Iris, Huck, Matthias and Way, Andy orcid:0000-0001-5736-5930 (2016) Enhancing access to online education: quality machine translation of MOOC content. In: Tenth International Conference on Language Resources and Evaluation (LREC 2016), 23-28 May 2016, Portorož, Slovenia. ISBN 978-2-9517408-9-1 (2016)
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19
Improving subject-verb agreement in SMT
In: Vanmassenhove, Eva orcid:0000-0003-1162-820X , Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2016) Improving subject-verb agreement in SMT. In: Fifth Workshop on Hybrid Approaches to Translation (HyTra), 1 June 2016, Riga, Latvia. (2016)
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20
From Arabic user-generated content to machine translation: integrating automatic error correction
In: Afli, Haithem orcid:0000-0002-7449-4707 , Aransa, Walid, Lohar, Pintu and Way, Andy orcid:0000-0001-5736-5930 (2016) From Arabic user-generated content to machine translation: integrating automatic error correction. In: 17th International Conference on Intelligent Text Processing and Computational Linguistics, 3–9 Apr 2016, Konya, Turkey. (2016)
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