Papers by Kezia Lopez
Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models (2023.findings-eacl)
Copied to clipboard
| Challenge: | Multilingual models can improve NLP performance on low-resource languages by leveraging higher-resourced languages, but they also reduce average performance on all languages. |
| Approach: | They propose a method to evaluate multilingual models by asking if models predict languages with an 'English accent' they propose to use grammatical structure bias to determine if multilingual model is biased toward English-like setting . |
| Outcome: | The proposed method compares the fluency of multilingual models to the fluencies of monolingual Spanish and Greek models. |