Abstract

A benchmark and taxonomy for phonemizing noisy user-generated text, paired with a compositional approach that handles the irregular spellings, abbreviations, and code-mixing typical of real-world informal writing. The work provides both a standardized evaluation suite and a method that decomposes phonemization into reusable, robust components.

Paper and code links coming soon.