Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance (2023.emnlp-main)
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| Challenge: | Prior work has investigated causes of poor zero-shot performance, but new study suggests it does not exhibit poor zero shot capability. |
| Approach: | They propose to investigate the presence of significant variations in zero-shot performance . target-side translation quality is most influential factor, with vocabulary overlap impacting zero- shot capabilities . |
| Outcome: | The results show that the target side translation quality is the most influential factor . linguistic properties, such as language family and writing system, play a role . |
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