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IndT5: A Text-to-Text Transformer for 10 Indigenous Languages
Transformer language models have become fundamental components of natural language processing-based pipelines. Although several Transformer models have been introduced to serve many languages, there is a shortage of models pre-trained for low-resource and Indigenous languages. IndT5 is the first Transformer language model for Indigenous languages. To train IndT5, IndCorpus is built — a new dataset for ten Indigenous languages and Spanish. The application of IndT5 to machine translation is also introduced by investigating different approaches to translate between Spanish and the Indigenous languages. IndT5 and IndCorpus are publicly available for research.
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