Language Technologies Research Centre · Since 1999
LTRC is a leading research centre at IIIT Hyderabad dedicated to advancing natural language processing, speech technologies, machine translation, and information retrieval — with a deep commitment to India's linguistic diversity.
Advancing the science of how machines understand and generate human language — across syntax, semantics, discourse, and multilingual settings.
Creating open tools, corpora, and systems that serve the billion+ speakers of India's diverse linguistic landscape — not just dominant languages.
Training the next generation of NLP researchers through rigorous courses, the IASNLP school, and open publication of data and models.
Our People
LTRC houses four specialised research groups, each tackling a distinct frontier of language technology — from classical Sanskrit to cutting-edge neural speech synthesis. Together they form a unified, collaborative research ecosystem.
Explore all labs →Work spans syntax & parsing, semantics, word sense disambiguation, discourse, treebanking, and machine translation. Linguistic insight meets modern ML.
Learn moreA fusion of Indian grammatical tradition and modern MT. Joint initiative with Chinmaya International Foundation and University of Hyderabad.
Learn moreRobust ASR, natural-sounding TTS, spoken information retrieval, and voice biometrics. Goal-oriented basic research at the signal–language frontier.
Learn moreInformation Retrieval, Extraction, and Access for complex, multilingual information needs. Fundamental and applied research for real-world search systems.
Learn morePeer-reviewed publications, datasets, and open-source tools from across LTRC's labs — spanning NLP, speech, machine translation, and information retrieval.
LTRC offers a rigorous curriculum in NLP and language technology, from undergraduate foundations to doctoral seminars. The annual IASNLP school is a globally attended training programme.
Long-form writing from LTRC researchers — on NLP breakthroughs, the state of Indian language AI, and the future of human-language technology.
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