Latest News

EACL Industry Track

March 2026

I am a co-chair of the EACL 2026 Industry Track.

IEEE JBHI paper

December 2025

An article with Sijbren van Vaals and Frank Tsiwah on using LLMs to complete aphasic sentences is published in JBHI.

EMNLP paper

November 2025

Francesca Padovani's paper (with Jaap Jumelet and Arianna Bisazza) is published in the EMNLP proceedings.

Journals

  • van Vaals, S., Matusevych, Y., & Tsiwah, F. (2025). Generating completions for Broca's aphasic sentences using large language models. IEEE Journal of Biomedical and Health Informatics. DOI: 10.1109/JBHI.2025.3639109. [arXiv]
  • Nortje, L., Oneață, D., Matusevych, Y., & Kamper, H. (2024). Visually grounded speech models have a mutual exclusivity bias. Transactions of the Association for Computational Linguistics, 12, 755–770. DOI: 10.1162/tacl_a_00672. [arXiv]
  • Matusevych, Y., Schatz, T., Kamper, H., Feldman, N. H., & Goldwater, S. (2023). Infant phonetic learning as perceptual space learning: A crosslinguistic evaluation of computational models. Cognitive Science, 47(7), e13314. DOI: 10.1111/cogs.13314.
  • Kamper, H., Matusevych, Y., & Goldwater, S. (2021). Improved acoustic word embeddings for zero-resource languages using multilingual transfer. IEEE/ACM Transactions on Audio, Speech and Language Processing, 29, 1107–1118. DOI: 10.1109/TASLP.2021.3060805. [arXiv]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2018). Quantifying cross-linguistic influence with a computational model: A study of case-marking comprehension. Linguistic Approaches to Bilingualism, 8(5), 561–605. DOI: 10.1075/lab.16038.mat. [Paper]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2017). The impact of first and second language exposure on learning second language constructions. Bilingualism: Language and Cognition, 20(1), 128–149. DOI: 10.1017/S1366728915000607. [Paper] [Model] [Data]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2016). Modelling verb selection within argument structure constructions. Language, Cognition and Neuroscience, 31(10), 1215–1244. DOI: 10.1080/23273798.2016.1200732. [Paper]
  • Matusevych, Y., Backus, A., & Reynaert, M. (2013). Do we teach the real language?: An analysis of patterns in textbooks of Russian as a foreign language. Dutch Journal of Applied Linguistics, 2(2), 224–241. DOI: 10.1075/dujal.2.2.07mat. [Paper]

Conferences

  • Padovani, F., Jumelet, J., Matusevych, Y., & Bisazza, A. (2025). Child-directed language does not consistently boost syntax learning in language models. In C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (pp. 19746–19767). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper]
  • Oneață, D., Nortje, L., Matusevych, Y., & Kamper, H. (2025). The mutual exclusivity bias of bilingual visually grounded speech models. In O. Scharenborg, C. Oertel, & K. Truong (Eds.), Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech) (pp. 5043–5047). Piscataway, NJ: The Institute of Electrical and Electronics Engineers Signal Processing Society.
    [Paper]
  • Zhou, Y., & Matusevych, Y. (2025). Curse of bilinguality: Evaluating monolingual and bilingual language models on Chinese linguistic benchmarks. In O. Arviv, M. Clinciu, K. Dhole, R. Dror, S. Gehrmann, E. Habba, I. Itzhak, S. Mille, Y. Perlitz, E. Santus, J. Sedoc, M. Shmueli-Scheuer, G. Stanovsky, & O. Tafjord (Eds.), Proceedings of the Fourth Workshop on Natural Language Generation, Evaluation, and Metrics (GEM2) (pp. 622–630). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper]
  • Shi, S., Matusevych, Y., & Nissim, M. (2024). Choosy babies need one coach: Inducing mode-seeking behavior in Baby Llama with reverse KL divergence. In L. Choshen, R. Cotterell, M. Hu, T. Linzen, A. Mueller, C. Ross, A. Warstadt, E. Wilcox, A. Williams, & C. Zhuang (Eds.), Proceedings of the BabyLM Challenge at the 28th Conference on Computational Natural Language Learning (pp. 95–105). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper]
  • Matusevych, Y., & Culbertson, J. (2022). Trees neural those: RNNs can learn the hierarchical structure of noun phrases. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    [Paper]
  • Roslund, R. & Matusevych, Y. (2022). Modeling sentence processing effects in bilingual speakers: A comparison of neural architectures. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    [Paper]
  • Winther, I. E., Matusevych, Y., & Pickering, M. J. (2021). Cumulative frequency can explain cognate facilitation in language models. In T. Fitch, C. Lamm, H. Leder, & K. Tessmar (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society (pp. 2513–2519). Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Kamper, H., Schatz, T., Feldman, N. H., & Goldwater, S. (2021). A phonetic model of non-native spoken word processing. In P. Merlo, J. Tiedemann & R. Tsafary (Eds.), Proceedings of the 16th Annual Meeting of the European chapter of the Association for Computational Linguistics (EACL) (pp. 1480–1490). Stroudsbourg, PA: Association for Computational Linguistics.
    [Paper] [Video]
  • Jacobs, C., Matusevych, Y., & Kamper, H. (2021). Acoustic word embeddings for zero-resource languages using self-supervised contrastive learning and multilingual adaptation. In J. Li, X. Cui, D. Hakkani-Tur, C. Hori, M. Akamine & K.-A. Lee (Eds.), Proceedings of the IEEE Spoken Language Technology Workshop (SLT) (pp. 919–926). New-York, NY: Institute of Electrical and Electronics Engineers.
    [Paper] [arXiv]
  • Matusevych, Y., Schatz, T., Kamper, H., Feldman, N. H., & Goldwater, S. (2020). Evaluating computational models of infant phonetic learning across languages. In S. Denison, M. Mack, Y. Xu, & B. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 571–577). Austin, TX: Cognitive Science Society.
    [Paper] [Video]
  • Li, R., Schatz, T., Matusevych, Y., Goldwater, S., & Feldman, N. H. (2020). Input matters in the modeling of early phonetic learning. In S. Denison, M. Mack, Y. Xu, & B. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 578–584). Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Kamper, H., Goldwater, S. (2020, April). Analyzing autoencoder-based acoustic word embeddings. Paper presented at Bridging AI and Cognitive Science (ICLR 2020). https://baicsworkshop.github.io/pdf/BAICS_23.pdf.
    [arXiv]
  • Kamper, H., Matusevych, Y., Goldwater, S. (2020). Multilingual acoustic word embedding models for processing zero-resource languages. In Proceedings of ICASSP.
    [arXiv]
  • Corkery, M., Matusevych, Y., Goldwater, S. (2019). Are we there yet? Encoder-decoder neural networks as cognitive models of English past tense inflection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 3868–3877). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper] [arXiv]
  • Matusevych, Y., Stevenson, S. (2018). Analyzing and modeling free word associations. In C. Kalish, M. Rau, T. Rogers, & J. Zhu (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Beekhuizen, B., & Stevenson, S. (2018). Crosslinguistic transfer as category adjustment: Modeling conceptual color shift in bilingualism. In C. Kalish, M. Rau, T. Rogers, & J. Zhu (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Kalantari Dehaghi, A. A., & Stevenson, S. (2018). Modeling bilingual word associations as connected monolingual networks. In C. Jacobs, T. Linzen, A. Sayeed, & M. van Schijndel (Eds.), Proceedings of the Eighth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL) (pp. 46–56). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper] [GitHub]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2015). Distributional determinants of learning argument structure constructions in first and second language. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 1547–1552). Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2014). Isolating second language learning factors in a computational study of bilingual construction acquisition. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 988–993). Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Alishahi, A., & Backus, A. (2013). Computational simulations of second language construction learning. In V. Demberg, & R. Levi (Eds.), Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL) (pp. 47–56). Stroudsburg, PA: Association for Computational Linguistics.
    [Paper]
  • Matusevych, Y., Alishahi, A., & Vogt, P. (2013). Automatic generation of naturalistic child—adult interaction data (2013). In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2996–3001). Austin, TX: Cognitive Science Society.
    [Paper]

Other

  • Matusevych, Y. (2024). [Review of the book Cognitive Plausibility in Natural Language Processing, by L. Beinborn & N. Hollenstein]. Computational Linguistics. DOI: 10.1162/coli_r_00517.
  • Winther, I. E., Matusevych, Y., & Pickering, M. J. (2023). Can learning explain cognate effects in bilingual comprehension and production? In M. Santesteban, J. A. Duñabeitia & C. Baus (Eds.), Bilingualism through the Prism of Psycholinguistics: In honour of Albert Costa (pp. 104–129). John Benjamins. DOI: 10.1075/bpa.17
  • Frank, S. L., Hinaut, X., Kaan, E., Khoe, Y. H., Chen, L., Winther, I. E., & Matusevych, Y. (2021). Bilingual sentence processing: When models meet experiments. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
    [Paper]
  • Matusevych, Y., Stevenson, S. (2017). Modeling color naming patterns in bilinguals: Lexical coactivation and conceptual change. PsyArxiv.
    [Paper]
  • Matusevych, Y. (2016). Learning constructions from bilingual exposure: Computational studies of argument structure acquisition. PhD thesis, Tilburg University, the Netherlands. Utrecht: LOT.
    [Book]
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