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Related Questions
- What are the benefits of combining back-translation and paraphrasing with other data augmentation techniques in language models?
- Can you provide examples of how back-translation and paraphrasing can be used in conjunction with techniques like word dropout and text manipulation to improve language model performance?
- How do back-translation and paraphrasing interact with other data augmentation techniques, such as synonym substitution and data randomization?
- What are some potential pitfalls to consider when combining back-translation and paraphrasing with other data augmentation techniques?
- Can you discuss the impact of back-translation and paraphrasing on the robustness of language models in the presence of noisy or out-of-vocabulary words?
- How can the effectiveness of back-translation and paraphrasing be evaluated when used in conjunction with other data augmentation techniques?
- What are some strategies for selecting the optimal combination of data augmentation techniques, including back-translation and paraphrasing, for a given language model and task?
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