output
20102026
most citedMolecular communication in fluid media: The additive inverse Gaussian noise channel

411 citations

Showing 2021 · cs.CLShow all

7 papers · 2 filters

cs.CL2021★ 1 cited

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…

cs.CL2021★ 3 cited

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…

cs.CL2021★ 12 cited

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…

cs.CL2021★ 7 cited

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…

cs.CL2021★ 8 cited

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…

cs.CL2021★ 2 cited

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…

cs.CL2021★ 1 cited

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…