Brief

Researchers have developed a multi-stage training pipeline for detecting abusive comments in Indic languages. The proposed system utilizes language-based preprocessing and an ensemble of models to identify harmful content on social media. A key focus of the research is minimizing false positives to ensure freedom of expression is not compromised while enhancing online safety. AI

Researchers have introduced SCRIBE, a new diagnostic framework designed to improve automatic speech recognition (ASR) for Indic languages. Unlike traditional metrics like Word Error Rate (WER), SCRIBE categorizes errors into lexical, punctuation, numeral, and domain-entity types, offering a more nuanced evaluation. The framework also incorporates sandhi-tolerant alignment and domain vocabulary injection to better handle agglutinative languages. Alongside SCRIBE, the team has released LLM curation pipelines, benchmarks, and open-weight rich transcription models for Hindi, Malayalam, and Kannada. AI