Enhancing Cross-lingual Transfer via Phonemic Transcription Integration

• URL: http://arxiv.org/abs/2307.04361v1
• Date: Mon, 10 Jul 2023 06:17:33 GMT
• Title: Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
• Authors: Hoang H. Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
• Abstract summary: PhoneXL is a framework incorporating phonemic transcriptions as an additional linguistic modality for cross-lingual transfer. Our pilot study reveals phonemic transcription provides essential information beyond the orthography to enhance cross-lingual transfer.
• Score: 57.109031654219294
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Previous cross-lingual transfer methods are restricted to orthographic representation learning via textual scripts. This limitation hampers cross-lingual transfer and is biased towards languages sharing similar well-known scripts. To alleviate the gap between languages from different writing scripts, we propose PhoneXL, a framework incorporating phonemic transcriptions as an additional linguistic modality beyond the traditional orthographic transcriptions for cross-lingual transfer. Particularly, we propose unsupervised alignment objectives to capture (1) local one-to-one alignment between the two different modalities, (2) alignment via multi-modality contexts to leverage information from additional modalities, and (3) alignment via multilingual contexts where additional bilingual dictionaries are incorporated. We also release the first phonemic-orthographic alignment dataset on two token-level tasks (Named Entity Recognition and Part-of-Speech Tagging) among the understudied but interconnected Chinese-Japanese-Korean-Vietnamese (CJKV) languages. Our pilot study reveals phonemic transcription provides essential information beyond the orthography to enhance cross-lingual transfer and bridge the gap among CJKV languages, leading to consistent improvements on cross-lingual token-level tasks over orthographic-based multilingual PLMs.

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