I am Jiajun Zhang from CASIA (Institute of Automation Chinese Academy of Sciences). This is the information about 14th China Workshop on Machine Translation. Please join us if you are interested.
*The 14th China Workshop on Machine Translation (CWMT 2018)*
*October 25 ~26, 2018, Wuyishan, China*
The 14th China Workshop on Machine Translation (CWMT 2018), organized by the Chinese Information Processing Society of China, will be held at Institute of Wuyishan, China, on October 25-26, 2018. The successive thirteen workshops were successfully held by various institutes and universities. Among these, several activities and shared tasks were successfully organized, such as the Machine Translation Evaluation (2007, 2008, 2009, 2011, 2013, 2015, 2017), and strategic planning meetings (2010, 2012) as well. CWMT plays an important role in strengthening and promoting the research and development of Machine Translation (MT) in China, and it becomes a leading academic activity in the field of Natural Language Processing (NLP).
CWMT aims at providing a forum to facilitate communication and academic exchanges among domestic and foreign scholars on the latest developments in the field of MT. CWMT 2018 features keynote speeches to be delivered by renowned experts in the field of MT; MT Panel and MT in Practice to explore the leading edge technologies and applications of MT; and a best paper award to be granted during the conference. An exhibition of commercial and research systems will be held during the conference to bring together the users, developers and researchers of MT. This conference will offer them a great opportunity to share and exchange valuable experiences on MT, and thus advance MT research and development in the region.
In addition, CWMT-2018 will continue MT evaluations including six translation tasks a quality estimation task. The six translation tasks are Chinese-to-English news MT, English-to-Chinese news MT, Uyghur-to-Chinese MT, Tibetan-to-Chinese MT, Mongolian-to-Chinese MT and multilingual MT for English, Chinese and Japanese. The quality estimation task performs on Chinese-English MT.
Papers are invited on substantial, original and unpublished research on all aspects of MT and NLP, including, but not limited to:
• Dictionary, corpus processing and tool development for machine translation
• Machine translation models and methods, including rule-based, example-based, statistical and neural machine translation
• Pre-processing and post-processing for machine translation
• Multi-engine translation system
• Machine translation evaluation methodologies
• Fundamental technologies for machine translation, such as word alignment, phrase extraction, name entity recognition and translation, lexical analysis, parsing, semantic analysis and document analysis for machine translation
• Machine translation applications, including cross-language information retrieval, computer-assisted translation, embedded translation, multilingual dialogue and speech translation
• Machine translation of low-resourced languages
• Challenges and opportunities for machine translation in Internet era
Full Paper Submission July 10, 2018
Notification of Acceptance August 15, 2018
Final Manuscript Submission August 31, 2018
Conference October 25-26, 2018
Registration October 24, 2018
The languages of the Workshop are Chinese and English. For English manuscripts, it will be published in the proceedings with Springer in the Communications in Computer and Information Science <http://www.springer.com/series/7899> series. The format of the manuscripts should follow Springer LNCS Authors Instructions <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>, and the number of pages should be limited to 10-12 pages for long paper and 6 pages for short paper. For Chinese manuscripts, it will be published separately in Journal of Xiamen University (Natural Science). Selected excellent Chinese manuscripts will be published by the Journal of Chinese Information Processing.
Papers will be reviewed double-blindly. The papers submitted for review must not contain authors' names and affiliations. Furthermore, self-references that reveal the author's identity, for example, "We showed (Authors’ name, 2018) ...", must be avoided. Instead, use citations such as "Authors’ name (2018) showed ...".
Conference Chair: Xiaodong Shi (Xiamen University)
Program Co-chairs: Jiajun Chen (Nanjing University),
Jiajun Zhang (University of Automation Chinese Academy of Sciences)
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