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Publication search results
found 16 matches
- 2019
- Mohamed Seghir Hadj Ameur
, Ahmed Guessoum
, Farid Meziane:
Improving Arabic neural machine translation via n-best list re-ranking. Mach. Transl. 33(4): 279-314 (2019) - Andoni Azpeitia, Thierry Etchegoyhen
:
Efficient document alignment across scenarios. Mach. Transl. 33(3): 205-237 (2019) - Iacer Calixto
, Qun Liu:
An error analysis for image-based multi-modal neural machine translation. Mach. Transl. 33(1-2): 155-177 (2019) - Sheila Castilho:
Chan Sin-Wai (ed): The human factor in machine translation - Routledge Studies in Translation Technology, Routledge, 1st edition (2018), xii+256pp, ISBN 781-13-855-1213 (Hardback), 978-13-151-4753-6 (e-book). Mach. Transl. 33(3): 259-268 (2019) - Sheila Castilho
, Federico Gaspari
, Joss Moorkens
, Maja Popovic, Antonio Toral
:
Editors' foreword to the special issue on human factors in neural machine translation. Mach. Transl. 33(1-2): 1-7 (2019) - Rostand Edson Oliveira Costa, Tiago Maritan Ugulino de Araújo
, Manuella A. C. B. Lima, Vinícius Veríssimo, Renan Soares, Suanny Vieira, Alexandre J. T. Santos, Guido Lemos de Souza Filho, Marília K. Soares, Vitor Hanael:
Towards an open platform for machine translation of spoken languages into sign languages. Mach. Transl. 33(4): 315-348 (2019) - Joke Daems
, Lieve Macken
:
Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation. Mach. Transl. 33(1-2): 117-134 (2019) - Rejwanul Haque
, Mohammed Hasanuzzaman, Andy Way:
Ruslan Mitkov, Johanna Monti, Gloria Corpas Pastor, and Violeta Seretan (eds): Multiword units in machine translation and translation technology - Current Issues in Linguistic Theory, Volume 341, John Benjamin Publishing Company, Amsterdam & Philadelphia, 2018, ix+259 pp, ISBN 978-90-272-0060-0 (HB), ISBN 978-90-272-6420-6 (e-book). Mach. Transl. 33(4): 349-354 (2019) - Nico Herbig
, Santanu Pal
, Mihaela Vela, Antonio Krüger
, Josef van Genabith:
Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation. Mach. Transl. 33(1-2): 91-115 (2019) - Yanfang Jia, Michael Carl
, Xiangling Wang
:
Post-editing neural machine translation versus phrase-based machine translation for English-Chinese. Mach. Transl. 33(1-2): 9-29 (2019) - Rebecca Knowles, Marina Sanchez-Torron
, Philipp Koehn:
A user study of neural interactive translation prediction. Mach. Transl. 33(1-2): 135-154 (2019) - Maarit Koponen
, Leena K. Salmi
, Markku Nikulin
:
A product and process analysis of post-editor corrections on neural, statistical and rule-based machine translation output. Mach. Transl. 33(1-2): 61-90 (2019) - Shaimaa Marzouk
, Silvia Hansen-Schirra:
Evaluation of the impact of controlled language on neural machine translation compared to other MT architectures. Mach. Transl. 33(1-2): 179-203 (2019) - Sarah Bawa Mason:
Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty (eds): Translation quality assessment: from principles to practice - Machine Translation: Technologies and Applications, Volume 1, Springer International Publishing, Heidelberg & Berlin, xii + 287 pp, ISBN 978-3-319-91240-0 (hardcover), 978-3-030-08206-2 (paperback), 978-3-319-91241-7 (eBook). Mach. Transl. 33(3): 269-277 (2019) - Nima Pourdamghani
, Kevin Knight:
Neighbors helping the poor: improving low-resource machine translation using related languages. Mach. Transl. 33(3): 239-258 (2019) - Pilar Sánchez-Gijón
, Joss Moorkens
, Andy Way
:
Post-editing neural machine translation versus translation memory segments. Mach. Transl. 33(1-2): 31-59 (2019)
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