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Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction
Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages.
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Despite impressive performance in many benchmark datasets, AI models can still make mistakes, especially among out-of-distribution examples.
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
Based on the insight that humans pay specific attention to movements, we use graphics interchange formats (GIFs) as a pivot to collect parallel sentences from monolingual annotators.
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