Score: 1

Language Models Model Language

Published: October 14, 2025 | arXiv ID: 2510.12766v1

By: Łukasz Borchmann

BigTech Affiliations: Snowflake

Potential Business Impact:

Makes AI understand language by counting word use.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Linguistic commentary on LLMs, heavily influenced by the theoretical frameworks of de Saussure and Chomsky, is often speculative and unproductive. Critics challenge whether LLMs can legitimately model language, citing the need for "deep structure" or "grounding" to achieve an idealized linguistic "competence." We argue for a radical shift in perspective towards the empiricist principles of Witold Ma\'nczak, a prominent general and historical linguist. He defines language not as a "system of signs" or a "computational system of the brain" but as the totality of all that is said and written. Above all, he identifies frequency of use of particular language elements as language's primary governing principle. Using his framework, we challenge prior critiques of LLMs and provide a constructive guide for designing, evaluating, and interpreting language models.

Country of Origin
🇺🇸 United States

Page Count
13 pages

Category
Computer Science:
Computation and Language