📰 Machine Translation Summit (MT Summit) 2017 — accepted papers

Machine Translation Summit (MT Summit) 2017 is the 2017 edition of the Machine Translation Summit (MT Summit), held in Nagoya Japan, September 2017 (publisher: European Association for Machine Translation). The ACL Anthology lists 46 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Nagoya Japan · 🗓 September 2017

All accepted papers (46)

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

1. A Case Study of Machine Translation in Financial Sentiment Analysis ↗Chong Zhang, Matteo Capelletti, Alexandros Poulis et al.
2. A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators ↗Sheila Castilho, Joss Moorkens, Federico Gaspari et al.
3. A Minimal Cognitive Model for Translating and Post-editing ↗Moritz Schaeffer, Michael Carl
4. A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian Languages ↗Hai-Long Trieu, Le-Minh Nguyen
5. A Neural Network Transliteration Model in Low Resource Settings ↗Tan Le, Fatiha Sadat
6. A New Methodology to Maximize the Strength of SMT and NMT ↗Yu Gong
7. A Reception Study of Machine Translated Subtitles for MOOCs ↗Ke Hu, Sharon O'Brien, Dorothy Kenny
8. A Target Attention Model for Neural Machine Translation ↗Hideya Mino, Andrew Finch, Eiichiro Sumita
9. A detailed investigation of Bias Errors in Post-editing of MT output ↗Silvio Picinini, Nicola Ueffing
10. Comparative Evaluation of NMT with Established SMT Programs ↗Lena Marg, Naoko Miyazaki, Elaine O'Curran et al.
11. Confidence through Attention ↗Matīss Rikters, Mark Fishel
12. Development of a classifiers/quantifiers dictionary towards French-Japanese MT ↗Mutsuko Tomokiyo, Mathieu Mangeot, Christian Boitet
13. Disentangling ASR and MT Errors in Speech Translation ↗Ngoc-Tien Le, Benjamin Lecouteux, Laurent Besacier
14. Elastic-substitution decoding for Hierarchical SMT: efficiency, richer search and double labels ↗Gideon Maillette de Buy Wenniger, Khalil Sima'an, Andy Way
15. Empirical Study of Dropout Scheme for Neural Machine Translation ↗Xiaolin Wang, Masao Utiyama, Eiichiro Sumita
16. Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages ↗Raj Dabre, Fabien Cromieres, Sadao Kurohashi
17. Exploiting Relative Frequencies for Data Selection ↗Thierry Etchegoyhen, Andoni Azpeitia, Eva Martinez García
18. Exploring Hypotheses Spaces in Neural Machine Translation ↗Frédéric Blain, Lucia Specia, Pranava Madhyastha
19. Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data ↗Kim Harris, Lucia Specia, Aljoscha Burchardt
20. Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data ↗Praveen Dakwale, Christof Monz
21. Harvesting Polysemous Terms from e-commerce Data to Enhance QA ↗Silvio Picinini
22. Journey around Neural Machine Translation quality ↗Marco Ganci
23. Learning an Interactive Attention Policy for Neural Machine Translation ↗Samee Ibraheem, Nicholas Altieri, John DeNero
24. Live presentations to a multilingual audience: personal universal translator ↗Chris Wendt
25. Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal ArabicAlexander Erdmann, Nizar Habash, Dima Taji et al.our summary

See all 46 papers in Machine Translation Summit (MT Summit) 2017 — accepted papers →

📄 Papers with our summary in our library (1)

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

1. Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal ArabicMachine Translation Summit (MT Summit)Alexander Erdmann, Nizar Habash, Dima Taji, et al.2017 · 14 citations

🧭 Top topics

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

🔁Machine translation (1)🌱Low-resource languages (1)Semitic languages (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.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓New York University Abu DhabiAbu Dhabi · United Arab Emirates1 work here🎓Carnegie Mellon University QatarDoha · Qatar1 work here🎓The Ohio State UniversityColumbus · United States1 work here

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

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