Draft:Computational Psycholinguistics
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Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. Panizfarahani1675 (talk) 13:23, 5 April 2025 (UTC)
What Is Computational Psycholinguistics? Computational psycholinguistics is an interdisciplinary subfield that combines insights from linguistics, psychology, cognitive science, and computer science to model and understand how humans process language. The goal is to simulate human language comprehension, production, and learning using computational methods and tools. This field seeks to answer questions such as:
How does the brain represent and organize linguistic information?
How do humans predict and parse language in real time?
Can artificial systems simulate human-like language understanding?
What can computational models reveal about cognitive constraints like memory, attention, or processing speed? Researchers use a variety of tools and techniques, including:
Computational models that simulate specific aspects of language processing (e.g., sentence parsing, lexical access).
Large text corpora to analyze patterns in real-world language use.
Probabilistic models such as Bayesian inference and Markov models to study how people deal with ambiguity and prediction.
Neural networks, especially transformer-based models like BERT or GPT, to explore machine-based parallels to human comprehension.
Simulations that replicate psycholinguistic experiments (e.g., reaction time studies or sentence processing tasks) to evaluate how plausible a model is from a cognitive perspective.
References
[edit]Jurafsky, D., & Martin, J. H. (2023). Speech and Language Processing (3rd ed. draft) Pickering, M. J., & Garrod, S. (2013). An Integrated Theory of Language Production and Comprehension. Psychological Review, 120(4), 761–780. Tanenhaus, M. K., & Trueswell, J. C. (1995). Sentence comprehension. In The handbook of psycholinguistics. Levy, R. (2008). Expectation-based syntactic comprehension. Cognition, 106(3), 1126–1177. Frank, S. L., & Bod, R. (2011). Insensitivity of the human sentence-processing system to hierarchical structure. Psychological Science, 22(6), 829–834.