NLP Research: A Historical Survey and Current Trends in Global, Indic, and Gujarati Languages

This research study presents a comprehensive survey of Natural Language Processing (NLP) research, tracing its historical evolution from its inception to the present. The survey explores the key milestones and advancements in NLP, focusing on global trends, as well as specific contributions from Indic languages, with a particular focus on Gujarati. The paper analyzes the current state of Gujarati NLP research, identifying existing gaps and challenges. By providing a comprehensive overview of NLP research, this study aims to guide future research directions and foster advancements in the field, particularly in the context of Indic languages.

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Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icuis64676.2024.10866047
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

NLP Research: A Historical Survey and Current Trends in Global, Indic, and Gujarati Languages

Brijeshkumar Y. Panchal, Apurva Shah
1 citations
Natural Language Processing Techniques
0.35
article

NLP Research: A Historical Survey and Current Trends in Global, Indic, and Gujarati Languages

Brijeshkumar Y. Panchal, Apurva Shah
article en
1 citations

Abstract

This research study presents a comprehensive survey of Natural Language Processing (NLP) research, tracing its historical evolution from its inception to the present. The survey explores the key milestones and advancements in NLP, focusing on global trends, as well as specific contributions from Indic languages, with a particular focus on Gujarati. The paper analyzes the current state of Gujarati NLP research, identifying existing gaps and challenges. By providing a comprehensive overview of NLP research, this study aims to guide future research directions and foster advancements in the field, particularly in the context of Indic languages.

Maharaja Sayajirao University of Baroda (IN)
Quality Education
Openalex Percentile: Top 29%
Natural Language Processing Techniques
0.35
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