Papers with monolingual LMs
Efficient Multilingual Language Model Compression through Vocabulary Trimming (2023.findings-emnlp)
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| Challenge: | Multilingual language models (LMs) have become a powerful tool in NLP, especially for non-English languages. |
| Approach: | They propose a method to reduce a multilingual LM vocabulary to a target language by deleting potentially irrelevant tokens from its vocabulary. |
| Outcome: | The proposed method can retain the original performance of the multilingual LM while being considerably smaller in size than the original model. |
One Script Instead of Hundreds? On Pretraining Romanized Encoder Language Models (2026.findings-acl)
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| Challenge: | a recent study has focused on setups that favor romanization for cross-lingual transfer . a fidelity-based approach is needed to improve performance for high-resource languages . |
| Approach: | They propose to pretrain LMs from scratch on romanized and original texts for six languages . they find that romanization improves encoding efficiency for segmental scripts at a negligible cost . |
| Outcome: | The proposed method reduces the loss of script-specific information and dilution of language-specific representations from increased subword overlap. |