Papers by Ishank Saxena
Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages (2024.lrec-main)
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Daan van Esch, Sandy Ritchie, Sebastian Ruder, Julia Kreutzer, Clara Rivera, Ishank Saxena, Isaac Caswell
| Challenge: | Existing data sources for many thousands of languages are rich and diverse . Efforts are ongoing to extend technology to many more of the world's languages . |
| Approach: | They provide an overview of some of the major online data sources available for thousands of languages. |
| Outcome: | The proposed language technologies are based on the data available for thousands of languages. |
GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation (2023.emnlp-main)
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| Challenge: | a new study explores the effectiveness of bilingual lexica in machine translation models . cross-lingual vocabulary alignment is still highly imperfect in these models, despite the success of supervised and self-supervised training. |
| Approach: | They use a resource to improve translation performance on 200-language models . they show that lexica is more reliable than human-translated data . |
| Outcome: | The proposed approach improves on 200-language translation models with lexical data augmentation . the proposed approach is open-source and has 168 tail languages . |