Macau SAR, China on Sep 4, 2023, @MT-SUMMIT2023
As a co-located event with MT-SUMMIT(https://mtsummit2023.scimeeting.cn/en/web/index/), this workshop will provide an opportunity to learn about the challenges and latest developments in the field of machine translation for ancient languages. Participants will engage in discussions and hands-on activities to develop a deeper understanding of the field and the techniques used to address the unique challenges posed by translating texts written in ancient languages. The workshop will conclude with a discussion of the results of the hands-on activities and a summary of the key takeaways from the workshop. Participants will leave the workshop with a deeper understanding of the field of ancient language machine translation and the tools and techniques used to address its unique challenges. In this year’s workshop, we propose shared tasks on Machine Translation for Ancient Chinese and Cuneiform language(like Akkadian and Sumerian), respectively, to provide an opportunity to address the unique challenges faced by ancient language machine translation. The technique reports are required to submit after the evaluation. All papers will be reviewed, and will be selected to appear on ACL Anthology.
- Provide an overview of the current state of the field of ancient language machine translation.
- Discuss the challenges and limitations associated with translating texts written in ancient languages.
- Provide hands-on experience with machine translation tools and techniques for ancient languages.
- Foster discussion and collaboration among workshop participants to share experiences, knowledge, and insights.
- Registration for the shared task: 15 Feb, 2023 ~ 25 March, 2023
- Training data release: April 1, 2023
- Test data release: June 1, 2023
- Data submission : June 7, 2023
- Tech report submission: June 15, 2023
- Notification of acceptance: June 25, 2023
- Camera Ready submission: 10 July 2023
The workshop will consist of lectures, hands-on activities, and group discussions. Participants will work in groups to apply machine translation techniques to sample texts written in ancient languages.
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Ancient Chinese Machine Translation Shared Task (https://github.com/GoThereGit/EvaHan)
- Organizers: Dongbo Wang, Si Shen, Minxuan Feng, Chao Xu, Lianzhen Zhao, Bin Li
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Ancient Cuneiform Languages Machine Translation Shared Task (https://github.com/GoThereGit/EvaCUN)
- Organizers: Adam Anderson, Luis Sáenz, Morris Alper, Shai Gordin
- Dr. Shai Gordin (shaigo@ariel.ac.il), Ariel University, Israel.
- Dr. Bin Li (lib@njnu.edu.cn), Nanjing Normal University, China.
- Masayuki Asahara, National Institute for Japanese Language and Linguistics, Japan (pending)
- Christian Chiarchos, Goethe University Frankfurt, Germany (confirmed 2023)
- Sanhong Deng,Nanjing University, China (confirmed 2023)
- Minxuan Feng, Nanjing Normal University, China (confirmed 2023)
- Ethan Fetaya, Bar-Ilan University, Israel (confirmed2023)
- Renfen Hu, Beijing Normal University, China (confirmed 2023)
- Chao-Lin Liu, National Chengchi University, Taiwan, China (confirmed 2023)
- Congjun Long, Chinese Academy of Social Sciences, China (confirmed 2023)
- Morris Alper, Tel Aviv University, Israel (confirmed 2023)
- Yudong Liu, Western Washington University, USA (confirmed 2023)
- Luis Sáenz, Ariel University/Heidelberg University, Israel/Germany (confirmed)
- Si Shen, Nanjing University of Science and Technology, China (confirmed 2023)
- Xiaodong Shi, Xiamen University, China (confirmed 2023)
- Gabriel Stanovsky, Hebrew University of Jerusalem, Israel (pending)
- Dongbo Wang, Nanjing Agricultural University, China (confirmed 2023)
- Chiara Palladino, Furman University, USA (confirmed 2023)
- Adam Anderson, US Berkeley, USA (confirmed 2023)
- Anoop Sarkar, Simon Fraser University, Canada (confirmed 2023)
- Nishant Kambhatla, Simon Fraser University, Canada (pending)
- more to come...