Our journey in developing a hand gesture recognition system for sign language translation was not just about technological innovation

Creating the Stanford Natural Language Inference dataset is a big step forward in understanding how computers grasp language.

Global Event and Language Tone Dataset Project Overview: Objective The GDELT project seeks to construct a repository of language tone […]

Conclusion The Japanese & Korean Language Dataset, through rigorous collection and annotation methodologies, establishes a robust foundation for diverse linguistic applications.

Conclusion The Telugu Text Files project has set a new standard in the field of NLP.

Conclusion The development and deployment of our Indonesian text dataset have significantly impacted the field of NLP.

Conclusion Facial Recognition technology has emerged as a powerful tool for enhancing access control

Conclusion Our Danish Text Files project significantly advanced NLP capabilities in Danish, offering a rich and diverse dataset.

This Hindi Text Files project has significantly contributed to the enrichment of NLP resources for the Hindi language.

Conclusion This ambitious undertaking has resulted in a robust audio dataset curated for healthcare