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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 9, September 2023 | Popularity: 5.1 / 10

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A Comprehensive Study of Using Artificial Neural Networks for Natural Language Processing

Dr. Milind Nemade, Dr. Vaishali Wadhe, Preksha Shah, Vraj Parekh, Om Sohani, Smita Prajapati, Sakshi Zanjad

Abstract: In the most recent timeframe, Artificial neural networks (ANNs) along with natural language processing (NLP) have come together catalyzing revolutionary advances in the study of computer linguistics. The symbiotic link between ANNs and NLP is thoroughly examined in this research paper, providing insights on how the two technologies could revolutionize how machines comprehend, produce, and engage with human language. ANNs have emerged as a key technology for NLP tasks, spanning from word embeddings and syntactic analysis to complicated language synthesis and comprehension tasks. ANNs were inspired by the extensive network of interconnected neurons in the human brain. The paper starts out by taking a methodical tour of the many different ways that ANNs are used in NLP. Although ANNs have improved NLP models' capabilities, their influence extends beyond textual data. Due to ANNs, multi-modal NLP-the integration of text with other types of input like images-has gained Substantial progress. Tasks like picture captioning and visual question answering are made simpler by models that mix visual and textual information. This research study essentially provides a broad examination of how ANNs have evolved into the foundation that supports modern NLP. The interaction between these two fields has sped up the creation of intelligent systems that can understand and produce human language with astounding precision and fluency.

Keywords: Artificial Neural Networks(ANNs), Natural Language Processing(NLP), Computer Linguistics, Word Embeddings, Syntactic Analysis, Language Synthesis, Interconnected Neurons, Picture captioning, Intelligent systems, Human Language

Edition: Volume 12 Issue 9, September 2023

Pages: 2042 - 2048

DOI: https://www.doi.org/10.21275/SR23926110535

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