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
16 papers · 1 filter
Bridging the Gap: Converting Read Text to Conversational Dialogue
Parshav Singla, Agnik Banerjee, Aaditya Arora +5
In recent advancements within speech processing, converting read speech to conversational speech has gained significant attention. The primary challenge in this domain is maintaini…
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…
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech
Harshvardhan Anand, Nansi Begam, Richa Verma +3
Existing Text-to-Speech (TTS) systems need to read messages from the email which may have Personal Identifiable Information (PII) to text messages that can have a streak of emojis…
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…
Codeswitched Sentence Creation using Dependency Parsing
Dhruval Jain, Arun D Prabhu, Shubham Vatsal +2
Codeswitching has become one of the most common occurrences across multilingual speakers of the world, especially in countries like India which encompasses around 23 official langu…
On-Device Tag Generation for Unstructured Text
Manish Chugani, Shubham Vatsal, Gopi Ramena +2
With the overwhelming transition to smart phones, storing important information in the form of unstructured text has become habitual to users of mobile devices. From grocery lists…
On-Device Sentence Similarity for SMS Dataset
Arun D Prabhu, Nikhil Arora, Shubham Vatsal +3
Determining the sentence similarity between Short Message Service (SMS) texts/sentences plays a significant role in mobile device industry. Gauging the similarity between SMS data…
Parallel Intent and Slot Prediction using MLB Fusion
Anmol Bhasin, Bharatram Natarajan, Gaurav Mathur +1
Intent and Slot Identification are two important tasks in Spoken Language Understanding (SLU). For a natural language utterance, there is a high correlation between these two tasks…
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification
Shubham Vatsal, Naresh Purre, Sukumar Moharana +2
Cluttering of SMS inbox is one of the serious problems that users today face in the digital world where every online login, transaction, along with promotions generate multiple SMS…
An Efficient Architecture for Predicting the Case of Characters using Sequence Models
Gopi Ramena, Divija Nagaraju, Sukumar Moharana +2
The dearth of clean textual data often acts as a bottleneck in several natural language processing applications. The data available often lacks proper case (uppercase or lowercase)…