* indicates advisees, mentees, or students; {} indicates equal contribution; CogSci proceedings are refereed but non-archival.
2025
Zoey Liu, Haiyin Yang* and Stefanie Wulff. Modeling the Dative Alternation in English Early Child Language. Open Mind; 9 1066–1097.
Zoey Liu and Masoud Jasbi. The Development of English Negative Constructions and Communicative Functions.
Language Learning and Development, 1–35.
Jordan Kodner, {Salam Khalifa, Sarah Payne} and Zoey Liu. Evaluating Learning Trajectories of Neural Morphology Acquisition Models. (Accepted.) Linguistics Vanguard.
Zoey Liu, Masoud Jasbi, Christan Grant, Kenji Sagae and Emily Prud’hommeaux. What data should I include in my POS tagging training set? Findings of the Association for Computational Linguistics: EMNLP 2025.
Joshua Higdon*, Valeria Pagliai* and Zoey Liu. Predictability Effects of Spanish-English Code-Switching: A Directionality and Part of Speech Analysis. In Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest), 83–89.
Xiulin Yang, Zhuoxuan Ju, Lanni Bu, Zoey Liu and Nathan Schneider. UD-English-CHILDES: A Collected Resource of Gold and Silver Universal Dependencies Trees for Child Language Interactions. In Proceedings of the Eighth Workshop on Universal Dependencies (UDW, SyntaxFest), 52–58.
Haiyin Yang*, Zoey Liu and Stefanie Wulff. Using NLI to Identify Potential Collocation Transfer in L2 English. In Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), 687–696.
Emiliana Pulido*, Robert Pugh and Zoey Liu. I Speak for the Árboles: Developing a Dependency Treebank for Spanish L2 and Heritage Speakers. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 814–822
Zoey Liu, Haiyin Yang*, Wenshuo Qin* and Joshua Hartshorne. Studying Cross-linguistic Structural Transfer in Second Language Learning. In Proceedings of the 47th Annual Conference of the Cognitive Science Society, 4061-4070.
Nathaniel E. Parkes* and Zoey Liu. Morphological Segmentation for Hupa. In Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages, 188–193.
2024
Zoey Liu and Bonnie J. Dorr. The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2851–2864.
Zoey Liu, Nitin Venkateswaran*, Eric Le Ferrand and Emily Prud’hommeaux. How Important is a Language Model for Low-resource ASR? In Findings of the Association for Computational Linguistics, 206–213.
Eric Le Ferrand, Zoey Liu, Antti Arppe, Emily Prud’hommeaux. Are modern neural ASR architectures robust for polysynthetic languages? In Findings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2953–2963.
Manuel Nunez Martinez*, Sonja Schmer-Galunder, Zoey Liu, Sangpil Youm*, Chathuri Jayaweera* and Bonnie J. Dorr. Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification. In Proceedings of the Second Workshop on Social Influence in Conversations (SICon), 102–115.
Allahsera Tapo, Eric Le Ferrand, Zoey Liu, Christopher Homan, and Emily Prud’hommeaux. Leveraging Speech Data Diversity to Document Indigenous Heritage and Culture. In Proceedings of the Annual Conference of the International Speech Communication Association (Interspeech), 5088-5092.
Skyler Jove Reese, Zoey Liu, Masoud Jasbi and Emily Morgan. Frequency-Dependent Regularization in Mandarin Elastic Word Length. In Proceedings of the 46th Annual Conference of the Cognitive Science Society, 3917-3923.
Rob van der Goot, Zoey Liu and Max Müller-Eberstein. Enough is Enough! A Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 6167–6176.
Nitin Venkateswaran* and Zoey Liu. Looking within the self: Investigating the Impact of Data Augmentation with Self-training on Automatic Speech Recognition for Hupa. In Proceedings of the 7th Workshop on the Use of Computational Methods in the Study of Endangered Languages, 58-66.
Ethan Eschrich* and Zoey Liu. Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis. In Proceedings of the Fourth Workshop on Multilingual Representation Learning, 186–188.
Zoey Liu, Haiyin Yang*, Jarrod Cruz* and Stefanie Wulff. Modeling the Dative Alternation in English Early Child Language. In Proceedings of the Society for Computation in Linguistics 7(1), 338–342.
2023
Zoey Liu and Emily Prud’hommeaux. Data-driven Parsing Evaluations for Child-Parent Interactions. Transactions of the Association for Computational Linguistics (TACL) 11 1734–1753.
Natalia Levshina, Savithry Namboodiripad …… Zoey Liu …… Anastasia Panova and Natalia Stoynova. Why we need a gradient approach to word order. Linguistics 61(4), 825-883.
Zoey Liu, Justin Spence and Emily Prud’hommeaux. 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, 123-131.
Jordan Kodner, {Sarah Payne, Salam Khalifa} and Zoey Liu. Morphological Inflection: A Reality Check. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 6082–6101.
Robert Jimerson, Zoey Liu and Emily Prud’hommeaux. An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 1008–1016.
Zoey Liu, Lauren Lamdar*, Stefanie Wulff and Kenji Sagae. Double PP Constituent Ordering Preferences in English Early Child Language. In Proceedings of the 45th Annual Conference of the Cognitive Science Society, 317-324.
Jordan Kodner, {Salam Khalifa, Sarah Payne} and Zoey Liu. Re-Evaluating the Evaluation of Neural Morphological Inflection Models. In Proceedings of the 45th Annual Conference of the Cognitive Science Society, 3259-3267.
Zoey Liu, Justin Spence and Emily Prud’hommeaux. Studying the impact of language model size for low-resource ASR. In Proceedings of the 6th Workshop on the Use of Computational Methods in the Study of Endangered Languages, 77-83.
Zoey Liu and Stefanie Wulff. The development of dependency length minimization in early child language: A case study of the dative alternation. In Proceedings of the 2023 International Conference on Dependency Linguistics ((Depling, GURT/SyntaxFest), 1-8.