SOURCE-LINKED INTELLIGENCE

The Art of Hierarchical Competing Patterns: Gaussian Process Optimization of Hyphenation

arXiv · AI, language, vision and robotics · article · Sep 7, 2026 · UTC

Hyphenation patterns remain a compact and widely deployed solution for word breaking in typesetting systems, text processors, and web rendering engines, but their generation still depends on manually tuned patgen program parameter profiles. We formulate patgen profile selection as a black-box hyperparameter optimization problem and evaluate Gaussian-process Bayesian optimization for this task. The search objective combines a precision-oriented F_{1/7}-score with an explicit trie size-accuracy trade-off using a normalized trie-size penalty. We evaluate the method on 17 hyphenated word-list data

Read original source ↗ Open in workspace

recordType

paper

region

Global