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Machine Translation Summit (MT Summit) 2015 — accepted papers

Machine Translation Summit (MT Summit) 2015 is the 2015 edition of the Machine Translation Summit (MT Summit), held in Miami, USA, October 2015 (publisher: European Association for Machine Translation). The ACL Anthology lists 63 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.

📍 Miami, United States · 🗓 October 2015

Tracks

Main36Papers27

All accepted papers (63)

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

  1. A machine-assisted human translation system for technical documents ↗Vishwajeet Kumar, Ashish Kulkarni, Pankaj Singh et al.
  2. A pilot study towards end-to-end MT training ↗Feifei Zhai, Liang Huang · Papers
  3. A systematic evaluation of MBOT in statistical machine translation ↗Nina Seemann, Fabienne Braune, Andreas Maletti · Papers
  4. Effects of word alignment visualization on post-editing quality & speed ↗Lane Schwartz, Isabel Lacruz, Tatyana Bystrova · Papers
  5. Enhancing function word translation with syntax-based statistical post-editingJohn Richardson, Toshiaki Nakazawa, Sadao Kurohashiour summary
  6. Error-tolerant speech-to-speech translation ↗Rohit Kumar, Sanjika Hewavitharana, Nina Zinovieva et al. · Papers
  7. Improved beam search with constrained softmax for NMT ↗Xiaoguang Hu, Wei Li, Xiang Lan et al. · Papers

See all 63 papers in Machine Translation Summit (MT Summit) 2015 — accepted papers →

 Papers with our summary in our library (1)

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

  1. Enhancing function word translation with syntax-based statistical post-editingJohn Richardson, Toshiaki Nakazawa, Sadao Kurohashi2015

 Top topics

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

Machine translation (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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