TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training

The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models (mPLMs) often struggle to handle transliterated data effectively, leading to performance degradation. Addressing this issue is crucial for improving cross-lingual transfer learning and ensuring accurate NLP applications across various languages and […]

The post TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any …

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