📰 EAMT 2018: all accepted papers

59 papers · the most cited first · ← EAMT 2018

1. A Comparison of Different Punctuation Prediction Approaches in a Translation Context ↗Vincent Vandeghinste, Lyan Verwimp, Joris Pelemans et al.
2. A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study ↗Nander Speerstra
3. A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation ↗Tsz Kin Lam, Julia Kreutzer, Stefan Riezler
4. An Analysis of Source Context Dependency in Neural Machine Translation ↗Xutai Ma, Ke Li, Philipp Koehn
5. An In-house Translator's Experience with Machine Translation ↗Anna Zaretskaya, Marcel Biller
6. Are Automatic Metrics Robust and Reliable in Specific Machine Translation Tasks? ↗Mara Chinea-Rios, Alvaro Peris, Francisco Casacuberta
7. Bootstrapping Multilingual Intent Models via Machine Translation for Dialog Automation ↗Nicholas Ruiz, Srinivas Bangalore, John Chen
8. Compositional Source Word Representations for Neural Machine Translation ↗Duygu Ataman, Mattia Antonino Di Gangi, Marcello Federico
9. Contextual Handling in Neural Machine Translation: Look behind, ahead and on both sides ↗Ruchit Agrawal, Marco Turchi, Matteo Negri
10. Creating the best development corpus for Statistical Machine Translation systems ↗Mara Chinea-Rios, Germán Sanchis-Trilles, Francisco Casacuberta
11. Data selection for NMT using Infrequent n-gram Recovery ↗Zuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta
12. Deep Neural Machine Translation with Weakly-Recurrent Units ↗Mattia A. Di Gangi, Marcello Federico
13. Determining translators' perception, productivity and post-editing effort when using SMT and NMT systems ↗Ariana López Pereira
14. Developing a New Swiss Research Centre for Barrier-Free Communication ↗Pierrette Bouillon, Silvia Rodríguez Vázquez, Irene Strasly
15. Development and evaluation of phonological models for cognate identication ↗Bogdan Babych
16. Does Machine Translation Really Produce Translations? ↗Félix do Carmo
17. ELRI - European Language Resources Infrastructure ↗Thierry Etchegoyhen, Borja Anza Porras, Andoni Azpeitia et al.
18. Empowering Translators with MTradumàtica: A Do-It-Yourself statistical machine translation platform ↗Adrià Martín-Mor, Pilar Sánchez-Gijón
19. Europarl Datasets with Demographic Speaker Information ↗Eva Vanmassenhove, Christian Hardmeier
20. Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation ↗M. Amin Farajian, Nicola Bertoldi, Matteo Negri et al.
21. Feature Decay Algorithms for Neural Machine Translation ↗Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way
22. Gist MT Users: A Snapshot of the Use and Users of One Online MT Tool ↗Mary Nurminen, Niko Papula
23. How to Move to Neural Machine Translation for Enterprise-Scale Programs - An Early Adoption Case Study ↗Tanja Schmidt, Lena Marg
24. Implementing a neural machine translation engine for mobile devices: the Lingvanex use case ↗Zuzanna Parcheta, Germán Sanchis-Trilles, Aliaksei Rudak et al.
25. Integrating MT at Swiss Post's Language Service: preliminary results ↗Pierrette Bouillon, Sabrina Girletti, Paula Estrella et al.
26. Investigating Backtranslation in Neural Machine TranslationAlberto Poncelas, Dimitar Shterionov, Andy Way et al.our summary
27. Iterative Data Augmentation for Neural Machine Translation: a Low Resource Case Study for English-Telugu ↗Sandipan Dandapat, Christian Federmann
28. Learning to use machine translation on the Translation Commons Learn portal ↗Jeannette Stewart, Mikel L. Forcada
29. Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair ↗John E. Ortega, Weiyi Lu, Adam Meyers et al.
30. M3TRA: integrating TM and MT for professional translators ↗Bram Bulté, Tom Vanallemeersch, Vincent Vandeghinste
31. Machine Translation Evaluation beyond the Sentence Level ↗Jindřich Libovický, Thomas Brovelli, Bruno Cartoni
32. Machine translation post-editing in the professional translation market in Spain: a case study on the experience and opinion of professional translators ↗Lorena Pérez Maćias
33. Massively multilingual accessible audioguides via cell phones ↗Itziar Cortes, Igor Leturia, Ińaki Alegria et al.
34. Multi-Domain Neural Machine Translation ↗Sander Tars, Mark Fishel
35. Multi-modal Context Modelling for Machine Translation ↗Lucia Specia
36. Neural Machine Translation of Basque ↗Thierry Etchegoyhen, Eva Martínez Garcia, Andoni Azpeitia et al.
37. OctaveMT: Putting Three Birds into One Cage ↗Juan A. Alonso, Albert Llorens
38. Perception vs. Acceptability of TM and SMT Output: What do translators prefer? ↗Pilar Sánchez-Gijón, Joss Moorkens, Andy Way
39. Pre-professional pre-conceptions ↗Laura Bruno, Antonio Miloro, Paula Estrella et al.
40. Project PiPeNovel: Pilot on Post-editing Novels ↗Antonio Toral, Martijn Wieling, Sheila Castilho et al.
41. Reading Comprehension of Machine Translation Output: What Makes for a Better Read? ↗Sheila Castilho, Ana Guerberof Arenas
42. Rule-based machine translation from Kazakh to Turkish ↗Sevilay Bayatli, Sefer Kurnaz, Ilnar Salimzyanov et al.
43. SRL for low resource languages isn't needed for semantic SMT ↗Meriem Beloucif, Dekai Wu
44. Smart Computer-Aided Translation Environment (SCATE): Highlights ↗Vincent Vandeghinste, Tom Vanallemeersch, Bram Bulté et al.
45. Smart Pre- and Post-Processing for STAR MT Translate ↗Judith Klein
46. Speech Translation Systems as a Solution for a Wireless Earpiece ↗Nicholas Ruiz, Andrew Ochoa, Jainam Shah et al.
47. Spelling Normalization of Historical Documents by Using a Machine Translation ApproachMiguel Domingo, Francisco Casacubertaour summary
48. Terminology validation for MT output ↗Giorgio Bernardinello
49. The ModernMT Project ↗Nicola Bertoldi, Davide Caroselli, Marcello Federico
50. The SUMMA Platform: Scalable Understanding of Multilingual Media ↗Ulrich Germann, Peggy van der Kreeft, Guntis Barzdins et al.
51. Toward leveraging Gherkin Controlled Natural Language and Machine Translation for Global Product Information Development ↗Morgan O'Brien
52. Towards a post-editing recommendation system for Spanish-Basque machine translation ↗Nora Aranberri, Jose A. Pascual
53. Training Deployable General Domain MT for a Low Resource Language Pair: English-Bangla ↗Sandipan Dandapat, William Lewis
54. TransPerfect's Private Neural Neural Machine Translation Portal ↗Diego Bartolomé, José Masa
55. Translating Short Segments with NMT: A Case Study in English-to-Hindi ↗Shantipriya Parida, Ondřej Bojar
56. Translation Quality Estimation for Indian Languages ↗Nisarg Jhaveri, Manish Gupta, Vasudeva Varma
57. Use of NMT in Ubiqus Group ↗Paloma Valenciano
58. mtrain: A Convenience Tool for Machine Translation ↗Samuel Läubli, Mathias Müller, Beat Horat et al.
59. news.bridge - Automated Transcription and Translation for News ↗Peggy van der Kreeft, Renars Liepins

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