Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens (2023.findings-emnlp)
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| Challenge: | Existing studies show that translation quality alone is not sufficient for measuring knowledge transfer in multilingual neural machine translation. |
| Approach: | They propose a method that measures representational similarities between languages to measure knowledge transfer. |
| Outcome: | The proposed method improves translation quality for low- and mid-resource languages across multiple datasets and models. |
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