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Tatsuki Kuribayashi

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#natural language process... Preprint Oct 2026

Typological Alignment of Stack-Based Language Models on Mildly Context-Sensitive Artificial Languages

Some properties of languages, e.g., subject-object-verb (SOV) word order, are more prevalent than others among the thousands of attested natural languages (NLs). Such typological commonality is often attributed to learning biases. Computational simulations, recently with language models (LMs), have facilitated the expl...

Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe · 0 citations
#natural language process... Preprint Sep 2026

Using LMs to Model the Effects of Context and Coreference during Sentence Comprehension

Language models (LMs) are often used as a tool to model human language processing. Recent studies suggest that severely restricting LMs'context window improves their fit to human psycholinguistic data by simulating human working memory constraints. However, it is possible that this strict memory-decay approach overlook...

Kohei Kajikawa, Lin Ai, Tatsuki Kuribayashi et al. · 0 citations

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