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The Historical Development and Modern Perspectives of Computational Linguistics

Year: 2025

Type: article

Abstract: This article examines and analyzes the main stages in the development of computational linguistics. It explores how the field has evolved from early machine translation experiments in the 1950s to modern neural network models such as GPT and BERT. Each stage—from theoretical and statistical approaches to deep learning innovations—is discussed to show the progress of computational language analysis over time.

Source: Journal of Applied Science and Social Science

Author: Muslikhiddinova Rakhshona

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W7215589614

FWCI:

Cites: 1

Cited by:

Related to: 10