---
title: "AMTA 2014 — all accepted papers with summaries and citations"
description: "All 70 papers of AMTA 2014, the most cited first; those with our summary link to it. Among them: A comparison of mixture and vector space…"
canonical: "https://research.elamur.ai/free/en/venues/amta/2014/papers/"
---
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# AMTA 2014: all accepted papers

70 papers · the most cited first · [← AMTA 2014](https://md.research.elamur.ai/free/en/venues/amta/2014/)

1. **[A comparison of mixture and vector space techniques for translation model adaptation ↗](https://aclanthology.org/2014.amta-researchers.10/)**Boxing Chen, Roland Kuhn, George Foster
2. **[A discriminative framework of integrating translation memory features into SMT ↗](https://aclanthology.org/2014.amta-researchers.19/)**Liangyou Li, Andy Way, Qun Liu
3. **[A novel use of MT in the development of a text level analytic for language learning ↗](https://aclanthology.org/2014.amta-users.15/)**Carol Van Ess-Dykema, Salim Roukos, Amy Weinberg
4. **[A probabilistic feature-based fill-up for SMT ↗](https://aclanthology.org/2014.amta-researchers.8/)**Jian Zhang, Liangyou Li, Andy Way et al.
5. **[A tunable language model for statistical machine translation ↗](https://aclanthology.org/2014.amta-researchers.27/)**Junfei Guo, Juan Liu, Qi Han et al.
6. **[An Arabizi-English social media statistical machine translation system](https://md.research.elamur.ai/free/en/papers/may-2014-arabizi-english-social-media-statistical/)**Jonathan May, Yassine Benjira, Abdessamad Echihabi*our summary*
7. **[An open source desktop post-editing tool ↗](https://aclanthology.org/2014.amta-wptp.13/)**Lane Schwartz
8. **[Assessing the impact of speech recognition errors on machine translation quality ↗](https://aclanthology.org/2014.amta-researchers.20/)**Nicholas Ruiz, Marcello Federico
9. **[Automatic dialect classification for statistical machine translation ↗](https://aclanthology.org/2014.amta-researchers.26/)**Saab Mansour, Yaser Al-Onaizan, Graeme Blackwood et al.
10. **[Bayesian iterative-cascade framework for hierarchical phrase-based translation ↗](https://aclanthology.org/2014.amta-researchers.2/)**Baskaran Sankaran, Anoop Sarkar
11. **[Behind the scenes in an interactive speech translation system ↗](https://aclanthology.org/2014.amta-workshop.5/)**Mark Seligman, Mike Dillinger
12. **[Bilingual phrase-to-phrase alignment for arbitrarily-small datasets ↗](https://aclanthology.org/2014.amta-researchers.7/)**Kevin Flanagan
13. **[Challenges of machine translation for user generated content: queries from Brazilian users ↗](https://aclanthology.org/2014.amta-users.6/)**Silvio Picinini
14. **[Clean data for training statistical MT: the case of MT contamination ↗](https://aclanthology.org/2014.amta-researchers.6/)**Michel Simard
15. **[Coarse “split and lump” bilingual language models for richer source information in SMT ↗](https://aclanthology.org/2014.amta-researchers.3/)**Darlene Stewart, Roland Kuhn, Eric Joanis et al.
16. **[Cognitive demand and cognitive effort in post-editing ↗](https://aclanthology.org/2014.amta-wptp.6/)**Isabel Lacruz, Michael Denkowski, Alon Lavie
17. **[Combining domain and topic adaptation for SMT ↗](https://aclanthology.org/2014.amta-researchers.11/)**Eva Hasler, Barry Haddow, Philipp Koehn
18. **[Combining techniques from different NN-based language models for machine translation ↗](https://aclanthology.org/2014.amta-researchers.17/)**Jan Niehues, Alexander Allauzen, François Yvon et al.
19. **[Comparison of data selection techniques for the translation of video lectures ↗](https://aclanthology.org/2014.amta-researchers.15/)**Joern Wuebker, Hermann Ney, Adrià Martínez-Villaronga et al.
20. **[Comparison of post-editing productivity between professional translators and lay users ↗](https://aclanthology.org/2014.amta-wptp.2/)**Nora Aranberri, Gorka Labaka, Arantza Diaz de Ilarraza et al.
21. **[Data selection for compact adapted SMT models ↗](https://aclanthology.org/2014.amta-researchers.23/)**Shachar Mirkin, Laurent Besacier
22. **[Document-level re-ranking with soft lexical and semantic features for statistical machine translation ↗](https://aclanthology.org/2014.amta-researchers.9/)**Chenchen Ding, Masao Utiyama, Eiichiro Sumita
23. **[Dynamic phrase tables for machine translation in an interactive post-editing scenario ↗](https://aclanthology.org/2014.amta-workshop.3/)**Ulrich Germann
24. **[Enhancing statistical machine translation with bilingual terminology in a CAT environment ↗](https://aclanthology.org/2014.amta-researchers.5/)**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 ↗](https://aclanthology.org/2014.amta-researchers.14/)**Burak Aydın, Arzucan Özgür
26. **[Expressive hierarchical rule extraction for left-to-right translation ↗](https://aclanthology.org/2014.amta-researchers.1/)**Maryam Siahbani, Anoop Sarkar
27. **[From the lab to the market: commercialising MT research ↗](https://aclanthology.org/2014.amta-users.9/)**John Tinsley
28. **[Handling entities in MT/CAT/HLT ↗](https://aclanthology.org/2014.amta-tutorials.1/)**Keith Miller, Linda Moreau, Sherri Condon · Tutorials
29. **[Integrating online and active learning in a computer-assisted translation workbench ↗](https://aclanthology.org/2014.amta-workshop.1/)**Vicent Alabau, Jesús González-Rubio, Daniel Ortiz-Martínez et al.
30. **[Interaction design for MT interfaces ↗](https://aclanthology.org/2014.amta-tutorials.2/)**Patricia O'Neill-Brown · Tutorials
31. **[Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering ↗](https://aclanthology.org/2014.amta-researchers.18/)**Katsuhito Sudoh, Masaaki Nagata, Shinsuke Mori et al.
32. **[Kanjingo: a mobile app for post-editing ↗](https://aclanthology.org/2014.amta-wptp.16/)**Sharon O'Brien, Joss Moorkens, Joris Vreeke
33. **[Linguistic QA for MT of user-generated content at eBay ↗](https://aclanthology.org/2014.amta-users.1/)**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 ↗](https://aclanthology.org/2014.amta-wptp.1/)**Pilar Sánchez-Gijón, Olga Torres-Hostench
35. **[Machine translation and post-editing for user generated content: an LSP perspective ↗](https://aclanthology.org/2014.amta-users.5/)**Elaine O'Curran
36. **[Machine translation for e-government – the Baltic case ↗](https://aclanthology.org/2014.amta-users.13/)**Andrejs Vasiļjevs, Rihards Kalniņš, Mārcis Pinnis et al.
37. **[Machine translation for global e-commerce on eBay ↗](https://aclanthology.org/2014.amta-users.3/)**Jyoti Guha, Carmen Heger
38. **[Machine translation is not one size fits all ↗](https://aclanthology.org/2014.amta-users.8/)**Lori Thicke
39. **[MateCat: an open source CAT tool for MT post-editing ↗](https://aclanthology.org/2014.amta-tutorials.3/)**Marcello Federico, Nicola Bertoldi, Marco Trombetti et al. · Tutorials
40. **[Monolingual post-editing by a domain expert is highly effective for translation triage ↗](https://aclanthology.org/2014.amta-wptp.3/)**Lane Schwartz
41. **[Online multi-user adaptive statistical machine translation ↗](https://aclanthology.org/2014.amta-researchers.12/)**Prashant Mathur, Mauro Cettolo, Marcello Federico et al.
42. **[Optimized MT online learning in computer assisted translation ↗](https://aclanthology.org/2014.amta-workshop.4/)**Prashant Mathur, Mauro Cettolo
43. **[Panel: Inserting CAT tools into a government LSP environment ↗](https://aclanthology.org/2014.amta-users.14/)**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 ↗](https://aclanthology.org/2014.amta-wptp.4/)**Carlos S.C. Teixeira
45. **[Perception vs. reality: measuring machine translation post-editing productivity ↗](https://aclanthology.org/2014.amta-wptp.5/)**Federico Gaspari, Antonio Toral, Sudip Kumar Naskar et al.
46. **[Pivot-based triangulation for low-resource languages ↗](https://aclanthology.org/2014.amta-researchers.24/)**Rohit Dholakia, Anoop Sarkar
47. **[Post-editing user interface using visualization of a sentence structure ↗](https://aclanthology.org/2014.amta-wptp.15/)**Yudai Kishimoto, Toshiaki Nakazawa, Daisuke Kawahara et al.
48. **[Predicting human translation quality ↗](https://aclanthology.org/2014.amta-researchers.22/)**Lucia Specia, Kashif Shah
49. **[Predicting post-editor profiles from the translation process ↗](https://aclanthology.org/2014.amta-workshop.6/)**Karan Singla, David Orrego-Carmona, Ashleigh Rhea Gonzales et al.
50. **[QuEst: A framework for translation quality estimation ↗](https://aclanthology.org/2014.amta-wptp.12/)**Lucia Specia, Kashif Shah
51. **[Real time adaptive machine translation: cdec and TransCenter ↗](https://aclanthology.org/2014.amta-wptp.14/)**Michael Denkowski, Alon Lavie, Isabel Lacruz et al.
52. **[Real-world challenges in application of MT for localization: the Baltic case ↗](https://aclanthology.org/2014.amta-users.7/)**Mārcis Pinnis, Raivis Skadiņš, Andrejs Vasiļjevs
53. **[Reducing time and tedium with translation technology: the six-pound challenge ↗](https://aclanthology.org/2014.amta-users.2/)**Scott Gaskill
54. **[Review and analysis of China workshop on machine translation 2013 evaluation ↗](https://aclanthology.org/2014.amta-researchers.16/)**Sitong Yang, Heng Yu, Hongmei Zhao et al.
55. **[Statistical machine translation with the Moses toolkit ↗](https://aclanthology.org/2014.amta-tutorials.5/)**Hieu Hoang, Matthias Huck, Philipp Koehn · Tutorials
56. **[TAUS post-editing course ↗](https://aclanthology.org/2014.amta-wptp.10/)**Attila Görög
57. **[TAUS post-editing productivity tool ↗](https://aclanthology.org/2014.amta-wptp.11/)**Attila Görög
58. **[Technology showcase guide ↗](https://aclanthology.org/2014.amta-users.16/)**Jennifer DeCamppp
59. **[Term translation central: up-to-date MT without frequent retraining ↗](https://aclanthology.org/2014.amta-users.11/)**Ventsislav Zhechev
60. **[The repetition rate of text as a predictor of the effectiveness of machine translation adaptation ↗](https://aclanthology.org/2014.amta-researchers.13/)**Mauro Cettolo, Nicola Bertoldi, Marcello Federico
61. **[Tools-driven content curation and engine tuning ↗](https://aclanthology.org/2014.amta-users.10/)**Alex Yanishevsky
62. **[Towards a combination of online and multitask learning for MT quality estimation: a preliminary study ↗](https://aclanthology.org/2014.amta-workshop.2/)**José G.C. de Souza, Marco Turchi, Matteo Negri
63. **[Towards desktop-based CAT tool instrumentation ↗](https://aclanthology.org/2014.amta-wptp.8/)**John Moran, Christian Saam, Dave Lewis
64. **[Translation quality in post-edited versus human-translated segments: a case study ↗](https://aclanthology.org/2014.amta-wptp.9/)**Elaine O'Curran
65. **[Translation technology in action: a US government use case ↗](https://aclanthology.org/2014.amta-users.12/)**Vanesa Jurica
66. **[Using any machine translation source for fuzzy-match repair in a computer-aided translation setting ↗](https://aclanthology.org/2014.amta-researchers.4/)**John E. Ortega, Felipe Sánchez-Martinez, Mikel L. Forcada
67. **[Using noun class information to model selectional preferences for translating prepositions in SMT ↗](https://aclanthology.org/2014.amta-researchers.21/)**Marion Weller, Sabine Schulte im Walde, Alexander Fraser
68. **[Vocabulary accuracy of statistical machine translation in the legal context ↗](https://aclanthology.org/2014.amta-wptp.7/)**Jeffrey Killman
69. **[When to choose SMT: typology of documents ↗](https://aclanthology.org/2014.amta-users.4/)**François Lanctôt
70. **[Working with MateCat: user manual and installation guide ↗](https://aclanthology.org/2014.amta-tutorials.4/)**Marcello Federico, Nicola Bertoldi, Marco Trombetti et al. · Tutorials
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