SLAB-NLP/Linguistic-Blood-Bank
Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank, Malkin et al., NAACL 2022
This project helps researchers and computational linguists understand how well knowledge from one language model can be transferred to another, particularly for languages with limited data. It provides tools to analyze and evaluate cross-lingual transfer, allowing users to input text corpora in various languages and assess how well a pre-trained model generalizes to new linguistic contexts. The primary users are researchers focused on multilingual natural language processing and low-resource language technologies.
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Use this if you are a researcher evaluating the effectiveness of cross-lingual knowledge transfer in language models and need to quantify model performance across different languages.
Not ideal if you are looking for a plug-and-play solution for building and deploying production-ready multilingual NLP applications.
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May 12, 2022
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