PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model

Davor Lauc
12/12/2024
cs.CLcs.AI

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Abstract

This paper presents PolyIPA, a novel multilingual phoneme-to-grapheme conversion model designed for multilingual name transliteration, onomastic research, and information retrieval. The model leverages two helper models developed for data augmentation: IPA2vec for finding soundalikes across languages, and similarIPA for handling phonetic notation variations. Evaluated on a test set that spans multiple languages and writing systems, the model achieves a mean Character Error Rate of 0.055 and a character-level BLEU score of 0.914, with particularly strong performance on languages with shallow orthographies. The implementation of beam search further improves practical utility, with top-3 candidates reducing the effective error rate by 52.7\% (to CER: 0.026), demonstrating the model's effectiveness for cross-linguistic applications.

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Cite this paper

@article{lauc2024polyipa,
  title  = {PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model},
  author = {Davor Lauc},
  year   = {2024},
  eprint = {2412.09102},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.09102v1}
}

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