📰 AMTA 2014: all accepted papers

70 papers · the most cited first · ← AMTA 2014

1. A comparison of mixture and vector space techniques for translation model adaptation ↗Boxing Chen, Roland Kuhn, George Foster
2. A discriminative framework of integrating translation memory features into SMT ↗Liangyou Li, Andy Way, Qun Liu
3. A novel use of MT in the development of a text level analytic for language learning ↗Carol Van Ess-Dykema, Salim Roukos, Amy Weinberg
4. A probabilistic feature-based fill-up for SMT ↗Jian Zhang, Liangyou Li, Andy Way et al.
5. A tunable language model for statistical machine translation ↗Junfei Guo, Juan Liu, Qi Han et al.
6. An Arabizi-English social media statistical machine translation systemJonathan May, Yassine Benjira, Abdessamad Echihabiour summary
7. An open source desktop post-editing tool ↗Lane Schwartz
8. Assessing the impact of speech recognition errors on machine translation quality ↗Nicholas Ruiz, Marcello Federico
9. Automatic dialect classification for statistical machine translation ↗Saab Mansour, Yaser Al-Onaizan, Graeme Blackwood et al.
10. Bayesian iterative-cascade framework for hierarchical phrase-based translation ↗Baskaran Sankaran, Anoop Sarkar
11. Behind the scenes in an interactive speech translation system ↗Mark Seligman, Mike Dillinger
12. Bilingual phrase-to-phrase alignment for arbitrarily-small datasets ↗Kevin Flanagan
13. Challenges of machine translation for user generated content: queries from Brazilian users ↗Silvio Picinini
14. Clean data for training statistical MT: the case of MT contamination ↗Michel Simard
15. Coarse “split and lump” bilingual language models for richer source information in SMT ↗Darlene Stewart, Roland Kuhn, Eric Joanis et al.
16. Cognitive demand and cognitive effort in post-editing ↗Isabel Lacruz, Michael Denkowski, Alon Lavie
17. Combining domain and topic adaptation for SMT ↗Eva Hasler, Barry Haddow, Philipp Koehn
18. Combining techniques from different NN-based language models for machine translation ↗Jan Niehues, Alexander Allauzen, François Yvon et al.
19. Comparison of data selection techniques for the translation of video lectures ↗Joern Wuebker, Hermann Ney, Adrià Martínez-Villaronga et al.
20. Comparison of post-editing productivity between professional translators and lay users ↗Nora Aranberri, Gorka Labaka, Arantza Diaz de Ilarraza et al.
21. Data selection for compact adapted SMT models ↗Shachar Mirkin, Laurent Besacier
22. Document-level re-ranking with soft lexical and semantic features for statistical machine translation ↗Chenchen Ding, Masao Utiyama, Eiichiro Sumita
23. Dynamic phrase tables for machine translation in an interactive post-editing scenario ↗Ulrich Germann
24. Enhancing statistical machine translation with bilingual terminology in a CAT environment ↗Mihael Arcan, Marco Turchi, Sara Topelli et al.
25. Expanding machine translation training data with an out-of-domain corpus using language modeling based vocabulary saturation ↗Burak Aydın, Arzucan Özgür
26. Expressive hierarchical rule extraction for left-to-right translation ↗Maryam Siahbani, Anoop Sarkar
27. From the lab to the market: commercialising MT research ↗John Tinsley
28. Handling entities in MT/CAT/HLT ↗Keith Miller, Linda Moreau, Sherri Condon · Tutorials
29. Integrating online and active learning in a computer-assisted translation workbench ↗Vicent Alabau, Jesús González-Rubio, Daniel Ortiz-Martínez et al.
30. Interaction design for MT interfaces ↗Patricia O'Neill-Brown · Tutorials
31. Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering ↗Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori et al.
32. Kanjingo: a mobile app for post-editing ↗Sharon O'Brien, Joss Moorkens, Joris Vreeke
33. Linguistic QA for MT of user-generated content at eBay ↗Jose Sanchez, Tanya Badeka
34. MT post-editing into the mother tongue of into a foreign language? Spanish-to-English MT translation output post-edited by translation trainees ↗Pilar Sánchez-Gijón, Olga Torres-Hostench
35. Machine translation and post-editing for user generated content: an LSP perspective ↗Elaine O'Curran
36. Machine translation for e-government – the Baltic case ↗Andrejs Vasiļjevs, Rihards Kalniņš, Mārcis Pinnis et al.
37. Machine translation for global e-commerce on eBay ↗Jyoti Guha, Carmen Heger
38. Machine translation is not one size fits all ↗Lori Thicke
39. MateCat: an open source CAT tool for MT post-editing ↗Marcello Federico, Nicola Bertoldi, Marco Trombetti et al. · Tutorials
40. Monolingual post-editing by a domain expert is highly effective for translation triage ↗Lane Schwartz
41. Online multi-user adaptive statistical machine translation ↗Prashant Mathur, Mauro Cettolo, Marcello Federico et al.
42. Optimized MT online learning in computer assisted translation ↗Prashant Mathur, Mauro Cettolo
43. Panel: Inserting CAT tools into a government LSP environment ↗Tanya Helmen, Vanesa Jurica, Danielle Silverman et al.
44. Perceived vs. measured performance in the post-editing of suggestions from machine translation and translation memories ↗Carlos S.C. Teixeira
45. Perception vs. reality: measuring machine translation post-editing productivity ↗Federico Gaspari, Antonio Toral, Sudip Kumar Naskar et al.
46. Pivot-based triangulation for low-resource languages ↗Rohit Dholakia, Anoop Sarkar
47. Post-editing user interface using visualization of a sentence structure ↗Yudai Kishimoto, Toshiaki Nakazawa, Daisuke Kawahara et al.
48. Predicting human translation quality ↗Lucia Specia, Kashif Shah
49. Predicting post-editor profiles from the translation process ↗Karan Singla, David Orrego-Carmona, Ashleigh Rhea Gonzales et al.
50. QuEst: A framework for translation quality estimation ↗Lucia Specia, Kashif Shah
51. Real time adaptive machine translation: cdec and TransCenter ↗Michael Denkowski, Alon Lavie, Isabel Lacruz et al.
52. Real-world challenges in application of MT for localization: the Baltic case ↗Mārcis Pinnis, Raivis Skadiņš, Andrejs Vasiļjevs
53. Reducing time and tedium with translation technology: the six-pound challenge ↗Scott Gaskill
54. Review and analysis of China workshop on machine translation 2013 evaluation ↗Sitong Yang, Heng Yu, Hongmei Zhao et al.
55. Statistical machine translation with the Moses toolkit ↗Hieu Hoang, Matthias Huck, Philipp Koehn · Tutorials
56. TAUS post-editing course ↗Attila Görög
57. TAUS post-editing productivity tool ↗Attila Görög
58. Technology showcase guide ↗Jennifer DeCamppp
59. Term translation central: up-to-date MT without frequent retraining ↗Ventsislav Zhechev
60. The repetition rate of text as a predictor of the effectiveness of machine translation adaptation ↗Mauro Cettolo, Nicola Bertoldi, Marcello Federico
61. Tools-driven content curation and engine tuning ↗Alex Yanishevsky
62. Towards a combination of online and multitask learning for MT quality estimation: a preliminary study ↗José G.C. de Souza, Marco Turchi, Matteo Negri
63. Towards desktop-based CAT tool instrumentation ↗John Moran, Christian Saam, Dave Lewis
64. Translation quality in post-edited versus human-translated segments: a case study ↗Elaine O'Curran
65. Translation technology in action: a US government use case ↗Vanesa Jurica
66. Using any machine translation source for fuzzy-match repair in a computer-aided translation setting ↗John E. Ortega, Felipe Sánchez-Martinez, Mikel L. Forcada
67. Using noun class information to model selectional preferences for translating prepositions in SMT ↗Marion Weller, Sabine Schulte im Walde, Alexander Fraser
68. Vocabulary accuracy of statistical machine translation in the legal context ↗Jeffrey Killman
69. When to choose SMT: typology of documents ↗François Lanctôt
70. Working with MateCat: user manual and installation guide ↗Marcello Federico, Nicola Bertoldi, Marco Trombetti et al. · Tutorials

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