📰 AMTA 2014 — accepted papers

AMTA 2014 is the 2014 edition of the Conference of the Association for Machine Translation in the Americas (AMTA), held in Vancouver, Canada, October 2014 (publisher: Association for Machine Translation in the Americas). The ACL Anthology lists 70 papers of it in 2 tracks; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Vancouver, Canada · 🗓 October 2014

Tracks

Main65Tutorials5

All accepted papers (70)

The most cited first; 1 with our summary link to their page here, the others to the original.

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

See all 70 papers in AMTA 2014 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. An Arabizi-English social media statistical machine translation systemConference of the Association for Machine Translation in the Americas (AMTA)Jonathan May, Yassine Benjira, Abdessamad Echihabi2014 · 20 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🔁Machine translation (1)Semitic languages (1)English (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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