XAI-guided augmentation that replaces the least important words, identified by Integrated Gradients, with back-translated synonyms or paraphrases improves hate speech and sentiment classification accuracy by up to 8 points in several low-resource languages.
First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages
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abstract
This paper presents the creation of initial bilingual corpora for thirteen very low-resource languages of India, all from Northeast India. It also presents the results of initial translation efforts in these languages. It creates the first-ever parallel corpora for these languages and provides initial benchmark neural machine translation results for these languages. We intend to extend these corpora to include a large number of low-resource Indian languages and integrate the effort with our prior work with African and American-Indian languages to create corpora covering a large number of languages from across the world.
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Explainable AI: XAI-Guided Context-Aware Data Augmentation
XAI-guided augmentation that replaces the least important words, identified by Integrated Gradients, with back-translated synonyms or paraphrases improves hate speech and sentiment classification accuracy by up to 8 points in several low-resource languages.