Typological Alignment of Stack-Based Language Models on Mildly Context-Sensitive Artificial Languages
Paper recorded by Signals 4 on 2026-10-01 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-01 on arXiv · recorded by Signals 4 on 2026-10-02
Category: cs.CL · 自然语言处理 · first seen 2026-10-02
Abstract
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 exploration of this theory. In this paper, we extend existing analyses of the relati
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Cite this page: Typological Alignment of Stack-Based Language Models on Mildly Context-Sensitive Artificial Languages: the #6 most recent of 311 cs.CL papers we have recorded (as of 2026-10-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/typological-alignment-of-stack-based-language-models-on-mildly-context-sensitive.html
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