Zhang Longtu 张龙图 NLP & MT Researcher

• EN
• ZH

NEWS

• 2018/12/27 Give a talk entitled "Neural Machine Translation of Logographic Language Using Sub-character Level Information" at 第10回入力メソッドワークショップ (IM 2018)
• 2018/12/24 Give a talk entitled "Introduction to Neural Machine Translation and Its Recent Progress" at Chinese Association of Science and Technology in Japan. [News Article] [Slides]

EDUCATION

• Jinan Foreign Studies University
  Middle/High School | Shandong, China | 2001-2007
• School of English and International Studies (SEIS)
  @ Beijing Foreign Studies University
  BA | Beijing, China | 2007-2011
  • Thesis: Research on New Social Medias
• Department of Linguistics and Modern Languages
  @ the Chinese University of Hong Kong
  MA & MPhil | Hongkong, China | 2011-2012, 2014-2016
  • Thesis: Weight Processing in Coordinate Structures in English and Japanese
• Department of System Design
  @ Tokyo Metropolitan University
  PhD | Tokyo, Japan | 2016-NOW
  • Current Research:
    • Neural Machine Translation of Logographic Languages
    • Unsupervised Neural Machine Translation

RESEARCH PUBLICATIONS

• Longtu Zhang and Mamoru Komachi (2019). Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information. In The 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC 33) , Sep, 2019 [arXiv:1903.00149]
• Yuting Zhao, Longtu Zhang and Mamoru Komachi (2019). Application of Unsupervised NMT Technique to Japanese-Chinese Machine Translation. In The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, June 6, 2019 [paper, pdf]
• Longtu Zhang and Yuting Zhao and Mamoru Komachi (2018). TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task. In The proceedings of The 5th Workshop on Asian Translation, HongKong, China. December 3, 2018 [proceedings]
• Longtu Zhang and Mamoru Komachi (2018). Neural Machine Translation of Logographic Language Using Sub-character Level Information. In The proceedings of the Third Conference on Machine Translation, Brussels, Belgium. October 31 – November 1, 2018 (Acceptance rate 28.7%) [paper]
• Longtu Zhang (2016). Short-long/Long-short Preferences in English/Japanese Processing Revisited. In Young Researchers Symposium on Natural Language Processing (YRSNLP) 2016, Osaka, Japan. December 10, 2016
• Cheung, Lawrence Y. L. and Longtu Zhang. (2016) Determinants of the Synthetic–Analytic Variation Across English Comparatives and Superlatives. In English Language and Linguistics 20(3): 559-583. [paper, pdf]
• Cheung, Lawrence Y. L. and Longtu Zhang. (2014) Inflectional/Periphrastic (I/P) Alternation of English Superlatives in Coordination. In Second Asia Pacific Corpus Linguistics Conference (APCLC 2014), PolyU, Hong Kong. March 6—8, 2014. [slides]
• Cheung, Lawrence and Longtu Zhang. (2014) Inflectional/Periphrastic Alternation of English Comparatives in Coordination. In Linguistic Society of America (LSA) Annual Meeting 2014, Minneapolis, USA. January 2—6, 2014. [slides]
• Cheung, Lawrence and Longtu Zhang. (2013) (Re)considering Determinants of the Inflectional/Periphrastic Alternation across English Comparatives and Superlatives. In The 5th International Conference on the Linguistics of Contemporary English (ICLCE 5), University of Texas, Austin, September 25—29, 2013. [slides]

WORKING EXPERIENCES

• Volunteer @ Main Press Conference Rooms (MPC), Main Press Center, Beijing 2008 Olympics | Beijing, China | 2008
• Research Assistant @ Department of Linguistic and Modern Languages, the Chinese University of Hong Kong | Hongkong, China | 2012-2014