Abstract:An ongoing challenge in current natural language processing is how its major advancements tend to disproportionately favor resourcerich languages, leaving a significant number of under-resourced languages behind. Due to the lack of resources required to train and evaluate models, most modern language technologies are either nonexistent or unreliable to process endangered, local, and non-standardized languages. Optical character recognition (OCR) is often used to convert endangered language documents into machi… Show more
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