BRIDGING LINGUISTIC THEORIES WITH MODERN TECHNOLOGY: EXPLORING SYNERGIES AND IMPLICATIONS

Aadarsh joshi , Anamika pant

Linguistic Theories Natural Language Processing (NLP) Generative Grammar Machine Translation Speech Recognition Deep Learning Computational Linguistics Human-Computer Interaction Language Acquisition Language Bias

In recent years, the convergence of linguistic theories and modern technology has created novel opportunities for both fields. Linguistic theories, which explore the structure, function, and evolution of language, can provide a framework for the development of advanced natural language processing (NLP) systems, speech recognition, and machine translation technologies. This abstract delves into how classical linguistic theories, including structuralism, generative grammar, and pragmatics, offer insights that modern computational methods can exploit. By examining the synergies between formal language models and AI-driven technologies like deep learning, this research highlights the implications for language acquisition, translation, and human-computer interaction. Furthermore, this paper discusses the potential impact on fields such as computational linguistics, social media analysis, and cognitive science, where bridging these domains can enhance our understanding of human language patterns. Ethical considera

Published Paper   E-Certificate

"BRIDGING LINGUISTIC THEORIES WITH MODERN TECHNOLOGY: EXPLORING SYNERGIES AND IMPLICATIONS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 9, page no.243 - 246, September-2024, Available :https://ijsdr.org/papers/IJSDR2409025.pdf

Volume 9 Issue 9, September-2024

Pages : 243 - 246

Paper Reg. ID: IJSDR_212466

Published Paper Id: IJSDR2409025

Downloads: 000347046

Research Area: Engineering

Country: Bilaspur, Uttar Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2409025

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2409025

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition