多语言音素转字形模型，提升名字音译准确率。
PolyIPA -- Multilingual Phoneme-to-Grapheme Conversion Model
- 用音素转字形技术实现跨语言名字音译
- 字符错误率仅0.055，顶3候选使误差降低52.7%
- 适合多语言音译、姓名研究与信息检索场景
本文提出PolyIPA，一种用于多语言名字音译、专名学研究和信息检索的新型多语言音素转字形模型。该模型利用两个辅助模型进行数据增强：IPA2vec用于跨语言寻找发音相似词，similarIPA用于处理音标表示差异。在涵盖多种语言和书写系统的测试集上，模型取得平均字符错误率0.055和字符级BLEU分数0.914，尤其在浅层正字法语言上表现优异。采用束搜索后，前3个候选结果将有效错误率降低52.7%（降至CER: 0.026），充分展现其在跨语言应用中的有效性。
原文摘要 · Abstract (English)
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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