Enhancing Academic Writing Efficiency with ChatGPT: A Natural Language Processing Framework for Innovation, Opportunities, and Challenges
DOI:
https://doi.org/10.13052/jicts2245-800X.1341Keywords:
Academic writing optimization, natural language processing, GPT-4, BERT, AI in writing, writing efficiency, text quality improvementAbstract
The rapid development of artificial intelligence (AI) has opened up new avenues for improving the efficiency and quality of academic writing. This paper presents ChatGPT, an advanced model based on the GPT-4 (Generative Pre-trained Transformer 4) architecture. Traditional academic writing faces challenges such as time constraints, language barriers, and content creation difficulties. AI-driven natural language processing (NLP) tools can effectively alleviate these challenges. This paper employs a transformer-based machine learning framework, combining bidirectional encoder representation (BERT) with GPT-4 to improve the syntactic and semantic quality of generated text. Empirical analysis of academic writing samples shows that ChatGPT-assisted writing reduces grammatical errors in the evaluation samples by 2.00% and 1.92%, respectively. This research further explores the cognitive advantages of AI-assisted writing tools, proposing that AI can not only enhance the writing process but also has the potential to reshape traditional academic writing practices by improving innovation, efficiency, and academic productivity.
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