• About me
• Publications

Journals

• Nortje, L., Oneață, D., Matusevych, Y., & Kamper, H. (2024). Visually grounded speech models have a mutual exclusivity bias. TACL. [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.
• 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

• 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 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]