Data Annotation for Indian Languages: Benchmarking, Standards, and Best Practices

This webinar is organized in collaboration with the Confederation of Interpreting, Translation and Localisation Businesses (CITLoB).

Join us for a dynamic session on annotating Indian languages, with a spotlight on Hindi and Urdu!

• We’ll explore how script differences, dialects, and code-mixing affect quality and consistency.
• Learn about proven frameworks—like Universal Dependencies—and discover how clear guidelines plus robust QA boost accuracy.
• See why standardized benchmarks are crucial to evaluating model performance and fueling innovation.
• Dive into real-world examples, where successful annotation projects have transformed speech recognition, sentiment analysis, and more.
• Gain insights into tackling common challenges: from selecting the right tools to mitigating bias in multilingual data.
• Whether you’re a data scientist, project manager, or language expert, you’ll walk away with actionable strategies to enhance your annotation workflows.
• Expect interactive elements, practical tips, and a forward-looking view on how annotated data can unlock AI’s full potential across India’s diverse linguistic landscape.

Host organization: Globalization and Localization Association