Papers by Jiří Balhar
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across Languages (2023.findings-acl)
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| Challenge: | Multilingual language models perform surprisingly well in a variety of NLP tasks for diverse languages. |
| Approach: | They propose to evaluate the quality of lexical representation and vocabulary overlap observed in sub-word tokenizers. |
| Outcome: | The proposed criteria show that the overlap of vocabulary across languages can be detrimental to certain downstream tasks. |