9 citations · 36 across the 10 of their papers we have counts for
7 papers · 1 filter
AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification
Sourav Ghosh, Yash Bhatia, Keshav Goyal +3
To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applications. Many of these applicat…
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy
Vibhav Agarwal, Sourav Ghosh, Harichandana BSS +2
Data-to-text (D2T) generation is a crucial task in many natural language understanding (NLU) applications and forms the foundation of task-oriented dialog systems. In the context o…
Real-Time Optimized N-gram For Mobile Devices
Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4
With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…
Language Detection Engine for Multilingual Texting on Mobile Devices
Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani +3
More than 2 billion mobile users worldwide type in multiple languages in the soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words are valid in another lang…
edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts
Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi +1
Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s…
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning
Sonal Kumari, Vibhav Agarwal, Bharath Challa +4
Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, for…