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Section

LinguisticsPath

Language structure for machine learning, formal grammar, and meaning.

Sounds, word structure, syntax, meaning, use, and learned representations belong on the same map. The point is to keep the linguistic object precise before connecting it to NLP and language models.

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The launch spine

9 published topics

Phonology

Sound systems, contrast, allophony, and the analytical machinery behind speech.

Morphology

Meaning-bearing word pieces, surface variants, and how morphology differs from tokenization.

Syntax

Constituents, phrase structure, and the tests that make syntactic claims empirical.

Formal Semantics

Truth-conditional meaning, typed lambda calculus, and compositional interpretation.

Pragmatics

Meaning in use: implicature, cooperation, context, and what literal content leaves unsaid.

Computational Linguistics

Distributional semantics, embeddings, and careful tests of linguistic structure in language models.