Papers with phonemic representation

2 papers
Epitran: Precision G2P for Many Languages (L18-1)

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Challenge: Epitran is a multilingual, multi-back-end system for grapheme-to-phoneme transduction . it supports 61 languages and is open source under an MIT license .
Approach: Epitran is a multilingual back-end system for grapheme-to-phoneme transduction . it takes word tokens in the orthography of a language and outputs a phonemic representation . Epitran's efficacy has been demonstrated in multiple research projects .
Outcome: Epitran is a multilingual, multi-backend system for grapheme-to-phoneme transduction . it supports 61 languages and is open source under MIT license .
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages (2024.emnlp-main)

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Challenge: Existing zero-shot cross-lingual NER approaches require substantial prior knowledge of the target language, which is impractical for low-resource languages.
Approach: They propose a phonemic representation based on the International Phonetic Alphabet (IPA) to bridge the gap between representations of different languages.
Outcome: The proposed method outperforms baseline models in low-resource languages with highest average F1 score and lowest standard deviation.

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