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title: "York Hay Ng — papers of 2026 — 4 papers, the most cited first"
description: "York Hay Ng — papers of 2026: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# York Hay Ng — papers of 2026 — 4 papers, the most cited first

4 papers · [all years of York Hay Ng](https://md.research.elamur.ai/free/en/authors/york-hay-ng/#years)

**[Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*

**[Modality Matching Matters: Calibrating Language Distances for Cross-Lingual Transfer in URIEL+](https://md.research.elamur.ai/free/en/papers/ng-2026-modality-matching-matters-calibrating-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**York Hay Ng, Aditya Khan, Xiang Lu, et al.*2026*

**[Simple Additions, Substantial Gains: Expanding Scripts, Languages, and Lineage Coverage in URIEL+](https://md.research.elamur.ai/free/en/papers/shipton-2026-simple-additions-substantial-gains-expanding/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mason Shipton, York Hay Ng, Aditya Khan, et al.*2026*

**[SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages](https://md.research.elamur.ai/free/en/papers/liu-2026-siniticmterror-machine-translation-dataset-error/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.*2026*