Pre-trained models have demonstrated their effectiveness in many downstream natural
language processing (NLP) tasks. The availability of multilingual pre-trained models …

The ability to produce and understand an unlimited number of different sentences is a
hallmark of human language. Linguists have sought to define the essence of this generative …

The state-of-the-art systems for most natural language engineering tasks employ machine
learning methods. Despite the improved performances of these systems, there is a lack of …

ABSTRACT A number of tools for Urdu language processing have been developed in the
past few years to perform word segmentation, part of speech tagging, chunking, named …

The notion that, to facilitate processing, as semantic complexity increases, syntactic
complexity decreases, follows from various linguistic theories. This brief report presents the …

Language is an organic construct. It emanates from the need for communication and
changes through time, influenced by multiple factors. The resulting language structures are …

The carbon footprint of natural language processing (NLP) research has been increasing in
recent years due to its reliance on large and inefficient neural network implementations …