7 citations · 9 across the 4 of their papers we have counts for
10 papers
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
Parul Chopra, Sai Krishna Rallabandi, Alan W Black +1
Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers in multilingual communities still remains an understudied problem in language processing. Th…
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
Akshat Gupta, Olivia Deng, Akruti Kushwaha +4
Intent Recognition and Slot Identification are crucial components in spoken language understanding (SLU) systems. In this paper, we present a novel approach towards both these task…
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
Akshat Gupta, Sargam Menghani, Sai Krishna Rallabandi +1
Sentiment analysis is an important task in understanding social media content like customer reviews, Twitter and Facebook feeds etc. In multilingual communities around the world, a…
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data
Akshat Gupta, Sai Krishna Rallabandi, Alan Black
Using task-specific pre-training and leveraging cross-lingual transfer are two of the most popular ways to handle code-switched data. In this paper, we aim to compare the effects o…
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
Akshat Gupta, Xinjian Li, Sai Krishna Rallabandi +1
With recent advancements in language technologies, humans are now speaking to devices. Increasing the reach of spoken language technologies requires building systems in local langu…
Mere account mein kitna balance hai? -- On building voice enabled Banking Services for Multilingual Communities
Akshat Gupta, Sai Krishna Rallabandi, Alan W Black
Tremendous progress in speech and language processing has brought language technologies closer to daily human life. Voice technology has the potential to act as a horizontal enabli…