Research
LTRC conducts research on both basic and applied aspects of language technology across four specialized labs.
Research Areas across Labs
Anusaaraka Lab
Paninian Grammar
Computational models based on Panini's Ashtadhyayi for morphological analysis and language generation.
Sanskrit Processing
Tools and resources for computational processing of Sanskrit texts and manuscripts.
Language Translation
Machine translation approaches that leverage traditional Indian linguistic theories.
MT-NLP Lab
Computational Grammatical Model
Development of the Computational Paninian Grammar framework, treebanks for Hindi and Urdu, and studies in language typology.
Parsing
Constraint-based and data-driven parsers for Indian languages, along with shallow parsers, part-of-speech taggers, and morphological analyzers.
Machine Translation
Transfer-based approaches, automatic learning of transfer rules, and statistical machine translation from English to Indian languages.
Semantics
Purpose-net and unsupervised/semi-supervised word category disambiguation.
Dialogue and Discourse Analysis
Anaphora resolution in text and generation of sentences from words.
IREL
Information Retrieval
Research on semantic search, cross-language information retrieval, and personalized information access systems.
Social Media Analysis
Mining and analyzing social media content for insights, trend detection, and sentiment analysis.
Text Summarization
Automatic summarization techniques for generating concise representations of large text documents.
Text Generation
Natural language generation systems for producing coherent and contextually appropriate text.
Speech Processing Lab
Speech Recognition
Building robust speech-to-text systems that work across diverse Indian languages, accents, and acoustic environments.
Text-to-Speech Synthesis
Developing natural sounding text-to-speech systems for Indian languages with focus on prosody and naturalness.
Speaker Recognition
Research on biometric identification using speech signals, including speaker verification and identification systems.
Language Identification
Automatic identification of spoken language from audio signals, particularly for Indian languages.
Emotion Recognition
Speech processing in emotion conditions, including emotion detection and emotion-aware speech conversion.