• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

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)