About me:

Yung Han Khoe
yunghan.khoe@ru.nl
Centre for Language Studies, Radboud University

I am a PhD candidate at the Centre for Language Studies (CLS) at Radboud University in the Netherlands. My research focuses on understanding how people learn, process and produce (multiple) language(s) by using traditional experimental techniques paired with computational cognitive models.

PhD project:

How do the characteristics of the individual multilingual experience shape the language system?

People who speak more than one language make up at least half of the world’s population. Multilingualism was traditionally understudied in psycholinguistics, but is receiving increased attention. However, the details of how different languages interact in the mind are not yet well understood. One reason for this is that multilinguals differ from one another in how they have learned their different languages, and how they use those languages in their daily lives. In my PhD project, I will investigate how the grammars of different languages are represented and processed, and how this depends on the diverse multilingual experience. I will do this using computational modeling, a fruitful research method that is underused in research on bilinguals. In both monolingual and bilingual research into syntactic processing, behavioral research that is based on so-called structural priming, which is the tendency to reuse syntactic structures that have recently been heard, has led to important insights into the language system. In the monolingual domain, investigation of experimental results using computational modeling has resulted in greater understanding of the underlying mechanisms. In the bilingual domain, however, computational modeling of structural priming is challenging. I will therefore implement a model of cross-language structural priming to investigate how the individual multilingual experience shapes a speaker’s language system. Furthermore, I will extend the model to include more than two languages.

Supervisors:
Stefan Frank
Gerrit Jan Kootstra
Rob Schoonen

Publications:

Khoe, Y.H., Frank, S.L. (2023, Under review).
The Bilingual Dual-path model: Simulating bilingual production, comprehension, and development,
Manuscript submitted for publication [ PsyArXiv ].

Verwijmeren, S., Frank, S.L., Fitz, H. & Khoe, Y.H. (2023).
A neural network simulation of event-related potentials in response to syntactic violations in second-language learning,
Proceedings of the 21st International Conference on Cognitive Modelling. [ pdf ].

Khoe, Y. H., Tsoukala, C., Kootstra, G.J., Frank, S. (2023).
Is structural priming between different languages a learning effect? Modelling priming as error-driven implicit learning,
Language, Cognition and Neuroscience, 38, (pp. 537-557), DOI: 10.1080/23273798.2021.1998563

Hintz, F., Khoe, Y.H., Strauß, A., Psomakas, A., & Holler, J. (2023).
Electrophysiological evidence for the enhancement of gesture-speech integration by linguistic predictability during multimodal discourse comprehension.,
Cognitive, Affective, & Behavioral Neuroscience, Advance online publication. doi:10.3758/s13415-023-01074-8.

Hintz, F., Strauß, A., Conradi, S., Khoe, Y.H., & Holler, J. (2023, In-principle Acceptance).
Language prediction in multimodal contexts: The contribution of iconic gestures to anticipatory sentence comprehension,
Cortex, Stage 1 Registered Report. doi:10.17605/OSF.IO/679TM [ OSF Preprint ]

Khoe, Y. H., Kootstra G.J., Schoonen R., Frank, S. (2021).
Simulating the effect of proficiency or exposure on cross-language priming of transitives in simultaneous English-Spanish bilinguals,
In Stewart, T. C. (Ed.). Proceedings of the 19th International Conference on Cognitive Modelling (pp. 150-156).
University Park, PA: Applied Cognitive Science Lab, Penn State. [ Proceedings ]

Khoe, Y. H., Tsoukala, C., Kootstra, G.J., Frank, S. (2020).
Modeling cross-language structural priming in sentence production, In Stewart, T. C. (Ed.).
Proceedings of the 18th International Conference on Cognitive Modelling (pp. 131-137).
University Park, PA: Applied Cognitive Science Lab, Penn State. [ Proceedings |  PsyArXiv ]

Khoe, Y. H. (2020).
Reproducing a morphosyntactic tagger with a Meta-BiLSTM model over context sensitive token encodings,
Proceedings of The 12th Language Resources and Evaluation Conference (pp. 5565-5570). [ pdf |  Code ]

Jongman, S.R., Khoe, Y.H., Hintz, F. (2020).
Vocabulary size influences spontaneous speech in native language users: Validating the use of automatic speech recognition in individual differences research.
Language and Speech, 64(1), (pp. 35-51), DOI: 10.1177/0023830920911079. [ pdf ]

Khoe, Y. H., Perfors, A., and Hendrickson, A. T. (2019).
Modeling individual performance in cross-situational word learning.
In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 560-566).
Montreal, QB: Cognitive Science Society. [ pdf |  PsyArXiv |  Code ]