Lichao Zhu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Machine Translation

Brazilian Portuguese

Temporal Information

Top Venues

BlackboxNLP@EMNLP

Publications

Fabien Lopez, Gabriela González Sáez, Damien Hansen, Mariam Nakhle, Behnoosh Namdarzadeh, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Sadaf Mohseni, Caroline Rossi, Didier Schwab, Jun Yang, Jean-Baptiste Yunès, Lichao Zhu
The MAKE-NMTVIZ System Description for the WMT23 Literary Task. WMT (2023)
Lichao Zhu, Maria Zimina, Maud Bénard, Behnoosh Namdar, Nicolas Ballier, Guillaume Wisniewski, Jean-Baptiste Yunès
Investigating Techniques for a Deeper Understanding of Neural Machine Translation (NMT) Systems through Data Filtering and Fine-tuning Strategies. WMT (2023)
Maud Bénard, Alexandra Mestivier, Natalie Kübler, Lichao Zhu, Rachel Bawden, Éric Villemonte de la Clergerie, Laurent Romary, Mathilde Huguin, Jean-François Nominé, Ziqian Peng, François Yvon
MaTOS: Traduction automatique pour la science ouverte. ARTS@CORIA-TALN (2023)
Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon
Screening Gender Transfer in Neural Machine Translation. CoRR (2022)
Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon
Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System. BlackboxNLP@EMNLP (2022)
Nicolas Ballier, Jean-Baptiste Yunès, Guillaume Wisniewski, Lichao Zhu, Maria Zimina-Poirot
The SPECTRANS System Description for the WMT22 Biomedical Task. WMT (2022)
Guillaume Wisniewski, Lichao Zhu, Nicolas Bailler, François Yvon
Screening Gender Transfer in Neural Machine Translation. BlackboxNLP@EMNLP (2021)
Gaël Lejeune, Lichao Zhu
A New Proposal for Evaluating Web Page Cleaning Tools. Computación y Sistemas 22 (4) (2018)
Lichao Zhu, Hangzhou Yang, Zhijun Yan
Extracting Temporal Information from Online Health Communities. ICCSE (2017)
Lichao Zhu, Hangzhou Yang, Zhijun Yan
Mining medical related temporal information from patients' self-description. Int. J. Crowd Sci. 1 (2) (2017)