Tag: fluency
-
Portfolio ·
A Deterministic English Fluency Layer
A ~50 KB cabinet of rule-based specialists that turn a typed semantic trace into fluent English. No neural network, no training, no GPU. Inflection, lemmatisation with etymological layering, article selection, verb conjugation. 104/104 tests pass. A reference implementation for the separation of semantic navigation and surface rendering.
-
Portfolio ·
Etymological Layering in English Lemmatisation
English is three morphological systems pretending to be one — Germanic inflection, partly-productive Latin derivation, Greek compound roots, French borrowings. A vocabulary-gated collapse rule per layer handles all four correctly; a single uniform rule cannot. The layer distribution of a text also turns out to be a cheap stylometric feature.
-
Portfolio ·
Post-Hoc Morphology Correction for Quantised LLMs
Quantised and distilled language models lose irregular morphology first — 'runned', 'childs', 'mouses' — because the irregulars are carried by a smaller fraction of parameters. A 450-entry irregulars table plus a short repair function catches and corrects these without retraining, without latency cost, and without touching the model. Closed-form failures should not be solved by statistical learners.