📰 Machine Translation Summit (MT Summit) 2017: all accepted papers

46 papers · the most cited first · ← Machine Translation Summit (MT Summit) 2017

1. A Case Study of Machine Translation in Financial Sentiment Analysis ↗Chong Zhang, Matteo Capelletti, Alexandros Poulis et al.
2. A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators ↗Sheila Castilho, Joss Moorkens, Federico Gaspari et al.
3. A Minimal Cognitive Model for Translating and Post-editing ↗Moritz Schaeffer, Michael Carl
4. A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian Languages ↗Hai-Long Trieu, Le-Minh Nguyen
5. A Neural Network Transliteration Model in Low Resource Settings ↗Tan Le, Fatiha Sadat
6. A New Methodology to Maximize the Strength of SMT and NMT ↗Yu Gong
7. A Reception Study of Machine Translated Subtitles for MOOCs ↗Ke Hu, Sharon O'Brien, Dorothy Kenny
8. A Target Attention Model for Neural Machine Translation ↗Hideya Mino, Andrew Finch, Eiichiro Sumita
9. A detailed investigation of Bias Errors in Post-editing of MT output ↗Silvio Picinini, Nicola Ueffing
10. Comparative Evaluation of NMT with Established SMT Programs ↗Lena Marg, Naoko Miyazaki, Elaine O'Curran et al.
11. Confidence through Attention ↗Matīss Rikters, Mark Fishel
12. Development of a classifiers/quantifiers dictionary towards French-Japanese MT ↗Mutsuko Tomokiyo, Mathieu Mangeot, Christian Boitet
13. Disentangling ASR and MT Errors in Speech Translation ↗Ngoc-Tien Le, Benjamin Lecouteux, Laurent Besacier
14. Elastic-substitution decoding for Hierarchical SMT: efficiency, richer search and double labels ↗Gideon Maillette de Buy Wenniger, Khalil Sima'an, Andy Way
15. Empirical Study of Dropout Scheme for Neural Machine Translation ↗Xiaolin Wang, Masao Utiyama, Eiichiro Sumita
16. Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages ↗Raj Dabre, Fabien Cromieres, Sadao Kurohashi
17. Exploiting Relative Frequencies for Data Selection ↗Thierry Etchegoyhen, Andoni Azpeitia, Eva Martinez García
18. Exploring Hypotheses Spaces in Neural Machine Translation ↗Frédéric Blain, Lucia Specia, Pranava Madhyastha
19. Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data ↗Kim Harris, Lucia Specia, Aljoscha Burchardt
20. Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data ↗Praveen Dakwale, Christof Monz
21. Harvesting Polysemous Terms from e-commerce Data to Enhance QA ↗Silvio Picinini
22. Journey around Neural Machine Translation quality ↗Marco Ganci
23. Learning an Interactive Attention Policy for Neural Machine Translation ↗Samee Ibraheem, Nicholas Altieri, John DeNero
24. Live presentations to a multilingual audience: personal universal translator ↗Chris Wendt
25. Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal ArabicAlexander Erdmann, Nizar Habash, Dima Taji et al.our summary
26. Machine Translation as an Academic Writing Aid for Medical Practitioners ↗Carla Parra Escartín, Sharon O'Brien, Marie-Josée Goulet et al.
27. Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy ↗Zi Long, Ryuichiro Kimura, Takehito Utsuro et al.
28. Neural Pre-Translation for Hybrid Machine Translation ↗Jinhua Du, Andy Way
29. Neural and Statistical Methods for Leveraging Meta-information in Machine Translation ↗Shahram Khadivi, Patrick Wilken, Leonard Dahlmann et al.
30. One-parameter models for sentence-level post-editing effort estimation ↗Mikel L. Forcada, Miquel Esplà-Gomis, Felipe Sánchez-Martínez et al.
31. Paying Attention to Multi-Word Expressions in Neural Machine Translation ↗Matīss Rikters, Ondřej Bojar
32. Rule-based MT and UTX Glossary Management – Honda's Case Dealing with Thousands of Technical Terms ↗Saemi Hirayama, Yuji Yamamoto
33. Temporality as Seen through Translation: A Case Study on Hindi Texts ↗Sabyasachi Kamila, Sukanta Sen, Mohammad Hasanuzzaman et al.
34. Terminology post-editing of neural MT by UTX glossary data ↗Yamamoto Yuji
35. The INTERACT Project and Crisis MT ↗Sharon O'Brien, Chao-Hong Liu, Andy Way et al.
36. The Impact of MT Quality Estimation on Post-Editing Effort ↗Carlos Teixeira, Sharon O'Brien
37. The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition ↗Christian Federmann, William D. Lewis
38. Toward a full-scale neural machine translation in production: the Booking.com use case ↗Pavel Levin, Nishikant Dhanuka, Talaat Khalil et al.
39. TraMOOC: Translation for Massive Open Online Courses ↗Joss Moorkens, Yota Georgakopoulou
40. Translation Dictation vs. Post-editing with Cloud-based Voice Recognition: A Pilot Experiment ↗Julián Zapata, Sheila Castilho, Joss Moorkens
41. Translation Quality and Productivity: A Study on Rich Morphology Languages ↗Lucia Specia, Kim Harris, Frédéric Blain et al.
42. Usability of web-based MT post-editing environments for screen reader users ↗Silvia Rodríguez Vázquez, Sharon O'Brien, Dónal Fitzpatrick
43. Usefulness of MT output for comprehension –- an analysis from the point of view of linguistic intercomprehension ↗Kenneth Jordan Núñez, Mikel L. Forcada, Esteve Clua
44. Utilizing Neural MT Engines in Industrial Translation ↗Toru Shishido
45. Will neural MT be a breakthrough in English-to-Japanese technical translation? ↗Tsunao Mikasa, Nobuko Kasahara
46. Zero-Shot Translation for Indian Languages with Sparse Data ↗Giulia Mattoni, Pat Nagle, Carlos Collantes et al.

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