411 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Samsung (United States)US4 papers
- International Institute of Information Technology, HyderabadIN2 papers
- Samsung (South Korea)KR2 papers
- Thapar Institute of Engineering & TechnologyIN2 papers
- Virginia TechUS2 papers
- Amazon (United States)US1 paper
- Indian Institute of Science BangaloreIN1 paper
- Indian Institute of Technology BombayIN1 paper
- Indian Institute of Technology DelhiIN1 paper
- Indian Institute of Technology GuwahatiIN1 paper
- Indian Institute of Technology KanpurIN1 paper
- Indian Institute of Technology RoparIN1 paper
7 papers · 2 filters
Adaptive Beam Search to Enhance On-device Abstractive Summarization
Harichandana B S S, Sumit Kumar
We receive several essential updates on our smartphones in the form of SMS, documents, voice messages, etc. that get buried beneath the clutter of content. We often do not realize…
VoiceMoji: A Novel On-Device Pipeline for Seamless Emoji Insertion in Dictation
Sumit Kumar, Harichandana B S S, Himanshu Arora
Most of the speech recognition systems recover only words in the speech and fail to capture emotions. Users have to manually add emoji(s) in text for adding tone and making communi…
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh +2
Intent detection is a crucial task in any Natural Language Understanding (NLU) system and forms the foundation of a task-oriented dialogue system. To build high-quality real-world…
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…