Models such as mBERT and XLMR have shown success in solving Code-Mixed NLP tasks even though they were not exposed to such text during pretraining.
Recent advances in AI and ML applications have benefited from rapid progress in NLP research.
The primary obstacle to developing technologies for low-resource languages is the lack of usable data.
In this paper, we examine and analyze the challenges associated with developing and introducing language technologies to low-resource language communities.
In this paper, we demonstrate an Interactive Machine Translation interface, that assists human translators with on-the-fly hints and suggestions.
Code-switching refers to the alternation of two or more languages in a conversation or utterance and is common in multilingual communities across the world.
DataDepsGenerators. jl is a tool written to help users of the Julia programming language(Bezanson, Edelman, Karpinski, & Shah, 2017), to observe best practices when making use of published datasets.
Specifically, the present work is a comprehensive study on the implementation of an auto-encoder based Boundary Equilibrium GAN (BEGAN) to generate frontal faces using an interpolation of a side view face and its mirrored view.