research
∙
11/01/2021
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
Code-switching (CS), a ubiquitous phenomenon due to the ease of communic...
share
research
∙
10/18/2021
Intent Classification Using Pre-Trained Embeddings For Low Resource Languages
Building Spoken Language Understanding (SLU) systems that do not rely on...
research
∙
04/03/2021
Intent Recognition and Unsupervised Slot Identification for Low Resourced Spoken Dialog Systems
Intent Recognition and Slot Identification are crucial components in spo...
research
∙
03/27/2021
Unsupervised Self-Training for Sentiment Analysis of Code-Switched Data
Sentiment analysis is an important task in understanding social media co...
research
∙
02/24/2021
Task-Specific Pre-Training and Cross Lingual Transfer for Code-Switched Data
Using task-specific pre-training and leveraging cross-lingual transfer a...
research
∙
11/07/2020
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages
With recent advancements in language technologies, humansare now interac...
research
∙
12/04/2019
A Resource for Computational Experiments on Mapudungun
We present a resource for computational experiments on Mapudungun, a pol...
research
∙
09/25/2019
Disentangling Speech and Non-Speech Components for Building Robust Acoustic Models from Found Data
In order to build language technologies for majority of the languages, i...
research
∙
03/25/2019
