activity
20182026
most citedEnd-to-End ASR for Code-switched Hindi-English Speech

6 citations · 8 across the 16 of their papers we have counts for

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20 papers · 1 filter

cs.CL2026

XITE: Cross-lingual Interpolation for Transfer using Embeddings

Barah Fazili, Preethi Jyothi

Facilitating cross-lingual transfer in multilingual language models remains a critical challenge. Towards this goal, we propose an embedding-based data augmentation technique calle…

cs.CL2026

Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics

Sanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya

Evaluating machine translation (MT) quality in extremely low-resource language (ELRL) scenarios poses unique challenges, as widely used metrics such as BLEU, effective in high-reso…

cs.CL2025

LASER: An LLM-based ASR Scoring and Evaluation Rubric

Amruta Parulekar, Preethi Jyothi

Standard ASR evaluation metrics like Word Error Rate (WER) tend to unfairly penalize morphological and syntactic nuances that do not significantly alter sentence semantics. We intr…

cs.CL2025

DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer

Sona Elza Simon, Preethi Jyothi

Effective cross-lingual transfer remains a critical challenge in scaling the benefits of large language models from high-resource to low-resource languages. Towards this goal, prio…

cs.CL2025

Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer

Soumen Kumar Mondal, Sayambhu Sen, Abhishek Singhania +1

Multilingual large language models (LLMs) aim towards robust natural language understanding across diverse languages, yet their performance significantly degrades on low-resource l…

cs.CL2024

AMPS: ASR with Multimodal Paraphrase Supervision

Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay +1

Spontaneous or conversational multilingual speech presents many challenges for state-of-the-art automatic speech recognition (ASR) systems. In this work, we present a new technique…