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Learn about data annotation techniques, tools, and best practices for multilingual natural language processing in this 53-minute lecture from CMU's CS11-737 course. Explore topics such as finding and managing labelers, defining annotation tasks, interactive dictionary learning, and ensuring consistency and efficiency in the labeling process. Gain insights into popular labeling toolkits like BRAT and discover strategies for building effective multilingual NLP datasets.
