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New Papers by Zoey Liu Published

Congratulations to Assistant Professor Zoey Liu and her co-authors (including our own Stefanie Wulff) on the publication of several papers in several highly-prestigious conference proceedings and Linguistics journals. Citations and links for all of them are below. Way to go Dr. Liu!

Liu, Z.,  Spence, J., and Prud’Hommeaux, E. (2023). Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 123–131, Dubrovnik, Croatia. Association for Computational Linguistics. Link here.

Liu, Z.,  Spence, J., and Prud’Hommeaux, E. (2023). Studying the impact of language model size for low-resource ASR. In Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 77–83, Remote. Association for Computational Linguistics. Link here.

Liu, Z. and Wulff, S. (2023). The development of dependency length minimization in early child language: A case study of the dative alternation. In Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023), pages 1–8, Washington, D.C.. Association for Computational Linguistics. Link here.

Levshina, N., Namboodiripad, S., Allassonnière-Tang, M., Kramer, M., Talamo, L., Verkerk, A., Wilmoth, S., Rodriguez, G., Gupton, T., Kidd, E., Liu, Z., Naccarato, C., Nordlinger, R., Panova, A. & Stoynova, N. (2023). Why we need a gradient approach to word order. Linguisticshttps://doi.org/10.1515/ling-2021-0098