The new pre-train-then-fine-tune paradigm in Natural made important performance gains
accessible to a wider audience. Once pre-trained, deploying a large language model …

The Word Sense Disambiguation system is widely used in many fields, including business,
research, education, and government organizations. The availability of natural language …

Homonyms are words that share their spelling but differ in meaning and are a common
feature in most languages. Homonyms are a source of noise i most text analyses and are …

The digital India program encourages Indian citizens to become conversant with e-services
which are primarily English language-based services. However, the vast majority of the …

Ambiguity in word meanings presents a significant challenge in natural language
processing, necessitating robust techniques for Word Sense Disambiguation (WSD). While …

Lexical ambiguity, phonological ambiguity, structural ambiguity, referential ambiguity,
semantic ambiguity, and orthographic ambiguity were all types of Amharic ambiguity. The …

Ambiguity in word meanings is a long-standing challenge in processing natural language.
Word sense disambiguation (WSD) deals with this challenge. Prior neural language models …

Abstract Analysis of textual data helps to understand the perception of people by studying
the various senses of words in the text. The sense of a polysemous word varies as per the …

Data is the building block of technological advancement and research papers are the
abstract of new technological progress. In this paper numerous research paper abstract of …

In many languages, multiple ambiguous words can be present, which can have different
meanings depending on the context in which they are used. Such words are known as …