Ishank Saxena — accepted AI-conference papers

2024

Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages

Daan van Esch, Sandy Ritchie, Sebastian Ruder, Julia Kreutzer, Clara Rivera, Ishank Saxena +1

COLING 2024main

Contrary to common belief, there are rich and diverse data sources available for many thousands of languages, which can be used to develop technologies for these languages. In this paper, we provide an overview of some of the major online data sources, the types of data that they provide access to,…

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2023

GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation

Alexander Jones, Isaac Rayburn Caswell, Orhan Firat, Ishank Saxena

EMNLP 2023long main

Modern machine translation models and language models are able to translate without having been trained on parallel data, greatly expanding the set of languages that they can serve. However, these models still struggle in a variety of predictable ways, a problem that cannot be overcome without at l…

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