[Apologize for multiple copies]
Call for Participation
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The 8th Workshop on Patent and Scientific Literature Translation (PSLT 2019)
DCU, Dublin, Ireland, 20th August 2019
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WORKSHOP WEBSITE:
http://www.aamtjapio.com/pslt2019
REGISTRATION SITE (Available via MT Summit 2019 Website):
https://www.mtsummit2019.com/registration
Following the success of MT Summit 2017 Workshop on Patent and Scientific
Literature Translation, we are organizing the 8th Workshop on Patent and
Scientific Literature Translation (PSLT 2019) as a part of MT Summit 2019
in Dublin City University, Dublin, Ireland. While patent information is
still one of the major application areas of machine translation, the need
for translation of different kinds of scientific literature has also been
increasing rapidly. The workshop covers topic a wide range of topics related
to translation of scientific literature including patents, scientific
articles, and technical reports, which have common characteristics as well
as their own characteristics. The workshop, which consists of invited talks,
presentation of submitted papers, and free discussion will be an opportunity
for researchers and practitioners to get together and exchange their ideas
and experiences.
* Workshop Program: (Tentative)
August 20, 2019
14:00 [(Quick) Opening] Katsuhito Sudoh
14:00-14:45 [Invited Talk] Christof Monz
Neural Machine Translation for Dynamic Domains
14:45-15:00 [Scientific paper (1)] Junya Ono, Masao Utiyama and
Eiichiro Sumita
Hybrid Data-Model Parallel Training for Sequence-to-Sequence
Recurrent Neural Network Machine Translation
15:00-15:30 [Coffee break]
15:30-16:15 [Invited Talk] Yohei Matsutani
Utilization of Machine Translation in the Japan Patent Office toward
improvement of accessibility for Patent Information
16:15-17:00 [Invited Talk] Aurélie Névéol
Biomedical Natural Language processing in multiple languages:
contribution of multilingual corpus and machine translation
17:00-17:05 [Short break]
17:05-17:20 [Scientific paper (2)] Alberto Poncelas, Gideon
Maillette de Buy Wenniger and Andy Way
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine
Translation
17:20-17:35 [Scientific paper (3)] Shohei Iida, Ryuichiro Kimura,
Hongyi Cui, Po-Hsuan Hung, Takehito Utsuro and Masaaki Nagata
A Multi-Hop Attention for RNN based Neural Machine Translation
17:35-17:50 [Scientific paper (4)] Mary Nurminen
Decision-making, Risk, and Gist Machine Translation in the Work of
Patent Professionals
17:50-18:00 [Closing remarks] Katsuhito Sudoh
* Workshop Organization
PC Co-Chairs:
Takehito Utsuro (University of Tsukuba, Japan)
Katsuhito Sudoh (Nara Institute of Science and Technology, Japan)
Takashi Tsunakawa (Shizuoka University, Japan)
PC Members:
Hailong Cao (Harbin Institute of Technology, China)
Key-Sun Choi (Korea Advanced Institute of Science and Technology,
Republic of Korea)
Chenhui Chu (Osaka University, Japan)
Hiroshi Echizen'ya (Hokkai-Gakuen University, Japan)
Terumasa Ehara (Ehara NLP Research Laboratory, Japan)
Isao Goto (NHK (Japan Broadcasting Corporation), Japan)
Eduard Hovy (Carnegie Mellon University, USA)
Kenji Imamura (National Institute of Information and Communications
Technology (NICT), Japan)
Satoshi Kinoshita (Japan Patent Information Organization (Japio), Japan)
Sadao Kurohashi (Kyoto University, Japan)
Toshiaki Nakazawa (The University of Tokyo, Japan)
Takashi Ninomiya (Ehime University, Japan)
Bruno Pouliquen (World Intellectual Property Organization)
Svetlana Sheremetyeva (South Ural State Universtiy, Russia)
Jun'ichi Tsujii (National Institute of Advanced Industrial Science
and Technology (AIST), Japan)
Shoichi Yokoyama (Yamagata University, Japan)
Jiajun Zhang (Chinese Academy of Sciences, China)
For more information on MT Summit 2019, please visit:
https://www.mtsummit2019.com/
Workshop Web-site:
http://www.aamtjapio.com/pslt2019
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Takashi Tsunakawa
Lecturer
College of Informatics / Faculty of Informatics, Shizuoka University
Address: 3-5-1 Johoku, Naka-ku, Hamamatsu, Shizuoka 432-8011 Japan
TEL: (+81)-053-478-1487
e-mail: [email protected]
URL: http://lab.inf.shizuoka.ac.jp/nisimura/
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