publications

• Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+York Hay Ng*, Aditya Khan*, James Lu*, Matteo Salloum, Michael Zhou, Fiona Hoang, A. Seza Doğruöz, En-Shiun Annie LeeEACL 2026 SRW (Oral & Poster) and SIGTYP (Oral, non-archival). Outstanding Paper.

  ACL Anthology
• Less is More: The Effectiveness of Compact Typological Language RepresentationsYork Hay Ng, Fiona Hoang, En-Shiun Annie LeeEMNLP 2025 (Poster)

  ACL Anthology
• Typological Feature Prediction with Large Language Models: An In-Context Learning ApproachQianwen Wang*, York Hay 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 Hay Ng, En-Shiun Annie LeeACL 2026 SRW

  ACL Anthology
• Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+Mason Shipton, York Hay Ng, Aditya Khan, Fiona Hoang, James Lu, A. Seza Doğruöz, En-Shiun Annie LeeLREC 2026

  ELRA
• 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 Hay Ng, Tsz Fung Yau, Ka Ieng Charlotte Lo, You-Wei Wu and Richard Tzong-Han TsaiLREC 2026

  ELRA

* denotes equal contribution.

preprints

• CantoNLU: A benchmark for Cantonese natural language understandingJunghyun Min, York Hay Ng, Sophia Chan, Helena Zhao, En-Shiun Annie Lee

  ArXiv
• and more to come... 👀

I also care deeply about the responsible use of AI.

"

a computer can never be held accountable,therefore a computer must never make a management decision.

- IBM training manual, 1979