Stanford's Christopher Manning argues that while LLMs excel at linguistic form, they still falter at pragmatics, discourse, and dialogue — revealing linguistics' irreplaceable role in probing whether models truly understand meaning beyond pattern abstraction.
The article explains how the English suffix -ness consistently turns adjectives into abstract nouns that denote states, qualities, or measurable properties, outlines three spelling rules—including simple addition, consonant‑y to i transformation, and handling of -ful/-less compounds—and shows how engineers use these terms to describe system attributes such as robustness, correctness, and randomness.
The article analyzes the phonological match, semantic metaphor, pragmatic appeal, and sociolinguistic success of translating the AI term “token” as “偷啃”, comparing it with other candidates and showing how it excels in faithfulness, fluency, and meme potential.
This article explains how to design a language‑fingerprint framework that captures pragmatic, syntactic and phonetic traits, maps personality, persona and context variables, and applies a step‑by‑step process to build consistent, character‑driven dialogue for voice assistants.
