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Human Language Technology

At the core of our vision is a commitment to advancing human language technology across diverse domains, including agriculture, healthcare, education, and the public sector. Our strategic approach encompasses a multi-modal perspective, enabling us to offer cutting-edge solutions that cater to the evolving needs of these sectors. By consistently identifying and addressing new research challenges, we aim to foster technological innovations that make a meaningful impact. Our interlingual platform is a testament to our dedication to excellence, providing a top-notch solution that seamlessly integrates speech, text, and scanned textual documents. This platform serves as a multifaceted resource, enabling us to meet the dynamic demands of today’s interconnected world. Through our comprehensive approach, we aspire to lead the way in shaping the future of human language technologies, bridging the gap between research and practical applications in a myriad of fields, and delivering smart solutions that empower individuals and organizations to thrive.

Vision

To be a leading contributor to cutting-edge human language technologies by employing multimodal perspectives to offer smart solutions in agriculture, healthcare, education, and the public sector.

Mission

To foster technological innovations by continuously identifying new research challenges providing optimal solutions for multi-modal domains and delivering a top-notch interlingual platform with multilingual processing by involving speech, text, and scanned textual documents.

Proposed initiative

  • Neural Machine Translation of low-resource languages,
  • Autograding answer script system
  • Information extraction system for Agriculture domain, cyber security domain, Legal domain
  • Multi-lingual and Mixed-lingual Speech emotion recognition for Indian Languages
  • Healthcare data analytics based on non-invasive modality.
  • Character Recognition from Palm Leaves Using Deep-Learning
  • Decision support system In the healthcare domain

Keywords

  • Natural Language processing
  • text anaytics
  • Speech processing and analsyis
  • digital document proceesing
  • Large language models
  • Genertaive AI

Team

Dr. Deepa Gupta

Dr. Deepa Gupta

Team Lead

Dr. Susmitha Vekkot

Dr. Susmitha Vekkot

Assistant Professor [Sr. Gr.]

Dr. Manju Venugopalan

Dr. Manju Venugopalan

Assistant Professor [Sr. Gr.]

Dr. S. Lalitha

Dr. S. Lalitha

Assistant Professor [SG]

Sangita Khare

Sangita Khare

Assistant Professor [Sr. Gr.]

Priyanka Vivek

Priyanka Vivek

Assistant Professor [Sr. Gr.]

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