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Enternasyonel
Enternasyonel · 6d
Talent

Does an LLM output that looks grammatically "correct" mean it's linguistically sound? Often, no.

One of Turkish's most fundamental yet most overlooked mechanisms is vowel harmony and LLMs break it systematically specially with foreign proper nouns, abbreviations, and long inflectional chains.

To document this i put together a new case study: Vowel Harmony Breakdown and Morphological Well-Formedness as a Helpful-Criterion Failure.

The core claim is even when not a single word is technically "wrong," broken vowel harmony can directly violate the "Helpful" criterion of the HHH (Helpful, Honest, Harmless) framework because even accurate propositional content can fail to be usable, undermine trust in a formal document, or misfire in text-to-speech tools.

Five cases are examined:

Pronunciation-based (not spelling-based) suffix harmony on foreign proper nouns Reading-based allomorph selection on abbreviations Harmony attenuation across long inflectional chains Frequency-biased default allomorph selection on loanwords Breakdown of minor (rounding) vowel harmony in possessive-case chains
Full document is attached. Feedback and discussion is welcome from anyone.

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Tusharvashisth
Tusharvashisth · 4d

Really interesting point. This also connects well with the Retrieval chapter of RAMP retrieval isn’t just about getting the right facts, but also the right linguistic context before generation.

A model can be factually correct and still produce something linguistically unusable. Great example of why “correct” doesn’t always mean “helpful.”

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