publications
  • Language Distances are Practical for Equitable Cross-Lingual TransferYork Ng*, Razan Rifandi*, Aditya Khan*, En-Shiun Annie LeeTo appear in MRL @ EMNLP 2026.
  • Typological Feature Prediction with Large Language Models: An In-Context Learning ApproachQianwen Wang*, York Ng*, Aditya Khan, En-Shiun Annie LeeTo appear in EMNLP 2026.
  • Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT EvaluationLuke Zhang, Justin Vasselli, Aditya Khan, York Ng, En-Shiun Annie LeeSRW @ ACL 2026
  • Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+Mason Shipton, York Ng, Aditya Khan, Fiona Hoang, James Lu, A. Seza Doğruöz, En-Shiun Annie LeeLREC 2026
  • SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic LanguagesHannah Liu, Junghyun Min, En-Shiun Annie Lee, Ethan Yue Heng Cheung, Shou-Yi Hung, Elsie Chan, Shiyao Qian, Runtong Liang, Kimlan Huynh, Wing Yu Yip, York Ng, Tsz Fung Yau, Ka Ieng Charlotte Lo, You-Wei Wu and Richard Tzong-Han TsaiLREC 2026
  • Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+York Ng*, Aditya Khan*, James Lu*, Matteo Salloum, Michael Zhou, Fiona Hoang, A. Seza Doğruöz, En-Shiun Annie LeeSRW @ EACL 2026 (Oral & Poster) and SIGTYP (Oral, non-archival). Outstanding Paper.
  • Less is More: The Effectiveness of Compact Typological Language RepresentationsYork Ng, Fiona Hoang, En-Shiun Annie LeeEMNLP 2025 (Poster)
* denotes equal contribution.
preprints
  • CantoNLU: A benchmark for Cantonese natural language understandingJunghyun Min, York Ng, Sophia Chan, Helena Zhao, En-Shiun Annie LeeArXiv 2025
  • and more to come... 👀
I also care deeply about the ethical use and development of AI.
"
a computer can never be held accountable,therefore a computer must never make a management decision.
- IBM training manual, 1979