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Comparative Analysis of Multilingual and Monolingual Intermediate-Task Training for Zero-Shot Cross-Lingual Transfer in

Domain:

natural language processing

Record type:

paper
Creator:
Ass
Publisher:
Zenodo
Host:avatar
Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task---often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate whether English intermediate-task training is still helpful on non-English target tasks. Using nine intermediate language-understanding tasks, we evaluate intermediate-task transfer in a zero-shot cross-lingual setting on the XTREME benchmark. We see large improvements from intermediate training on the BUCC and Tatoeba sentence retrieval tas Research goal: How does the performance of multilingual intermediate-task training compare to monolingual non-English intermediate-task training on zero-shot cross-lingual transfer for low-resource languages, as measured by task-specific F1 scores in XTREME-R? Autonomous synthesis report generated by Assignee Research. Tribunal consensus score: 9.1/10. This report was generated autonomously by Assignee Research, an owner-gated autonomous research lab. The content synthesizes findings from peer-reviewed papers. Tribunal score: 9.1/10.

Visit

doi.org

Tags

performancemultilingualintermediate-tasktrainingmonolingualnon-Englishzero-shotcross-lingual

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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