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89 articles for “language understanding”
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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Impact of AI Tools in Software Engineering: Boon or a Bane
Abstract: Artificial Intelligence (AI) has become a transformative force, revolutionizing diverse sectors by integrating intelligent systems into everyday processes. Natural Language Processing (NLP) plays a crucial role, enabling machines to understand and produce human language, marking a significant advancement in technology. This innovation has various applications, including chatbots, language translation, and sentiment analysis, thereby improving interactions between humans and computers and facilitating information processing. Generative AI, a subset of AI, takes …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 14–23 Read article
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A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT
Abstract: The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services. While state-of-the-art language models such as BERT (Bidirectional Encoder Representations from Transformers) demonstrate exceptional performance in understanding and generating natural language, their opaque “black-box” nature often limits user confidence, trust, and widespread adoption. Farmers may hesitate to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Virtual Assistant: JarvisAI Using Natural Language Processing
Abstract: This research presents the development of a voice-interactive virtual assistant built upon the JarvisAI framework, integrating advanced technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Speech Recognition. The goal is to enable seamless and intuitive human-computer interaction by allowing users to communicate through natural spoken and written language. The assistant is designed to understand, interpret, and respond to various user commands, aiding in tasks such as information …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 26–39 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
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LLM-based Chatbot for Course-based Question Answering
Abstract: The “LLM-based Chatbot for Course-Based Question Answering” project addresses the pressing need for tailored and efficient learning tools in education. By using a state-of-the-art Large Language Model (LLM) with a diverse dataset, including textbooks, professor slides, and web scraping data, the chatbot offers accurate and contextually enriched responses to students' course-related queries. Using recent advances in language modeling, this work presents a Longformer-based Language Model (LLM) for constructing a smart …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 30–41 Read article
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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
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Design and Development of Agrobot Using Feed Forward Network for Smart Farming Agriculture
Abstract: The Agrobot framework is a form of natural language processing that requires training to understand human language and meet user needs accordingly. The development of a chatbot tailored for the agricultural industry represents a significant advancement in agricultural technology. This chatbot serves as an interactive tool to assist farmers in various aspects of agricultural practices, including crop management, pest control, weather forecasting, and market information. The main objective of this …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 6–14 Read article
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A Study of ROI Based Sign Language to Text Translation in Real Time Using Deep Learning
Abstract: Since sign language is their primary form of communication, it plays a significant role in the lives of hearing and speech disabled people. However, since not everyone is conversant in sign language, it is challenging for the disabled to interact with others daily. Sign language is made up of a variety of hand gestures that may stand in for a wide range of words and sentiments. The purpose of this …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Real-Time Sign Language to Speech Conversion Glove Using Arduino and Wearable Sensors
Abstract: This research work presents the design and development of a low-cost, wearable glove system for real- time sign language to speech conversion. The system employs an Arduino microcontroller integrated with flex sensors and an accelerometer to accurately detect hand gestures. The system translates hand gestures into audible speech through Bluetooth communication, enabling seamless interaction for hearing-impaired individuals. By converting sign language into speech in real-time, it significantly enhances communication accessibility …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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A Comprehensive Study of Natural Language Processing Systems Using Modern Programming Languages: Techniques, Architectures, Experimental Evaluation, and Applications
Abstract: Natural Language Processing is a key field of study within artificial intelligence that focuses on enabling machines to understand and work with human language. This is because there is much digital text data everywhere. Natural Language Processing is what this study is about. It looks at new ways of doing Natural Language Processing. The old ways are like machine learning and the new ways are like learning. This study compares …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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The Role of English Language in Communication: Multidisciplinary Perspectives
Abstract: The English language performs an essential role in communication, serving as the universal medium through which people exchange data, express feelings, and build relationships. This research explores the importance of language in communication, examining its role in human interactions, the dynamics of effective communication, and the socio-cultural impact of language. Communication is a skill that involves a systematic and continuous process of speaking, listening, and understanding. We are also taught …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Television Media and Children: A Sociological Insight on Rural Society in Punjab
Abstract: The present paper deals with to understand the media forms of television and digital media as an influential agent of socialisation in contemporary society, especially among the children. The increasing accessibility of television and digital media, especially in the rural society of Punjab, have greatly impacted the patterns of childhood socialisation, cultural norms, religious practices, attitudes, and routine behaviour. During the study it is found that television continues to occupy …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 21–34 Read article
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Jarvis the Voice Assistant for Desktop
Abstract: This study presents the development and execution of a cutting-edge multilingual voice partner using JavaScript, HTML, CSS, and Python for the frontend and backend, independently. The voice accomplice is planned to appreciate and address client inquiries in various lingos, making it a significant gadget for people of all ages and foundations. The front end of the voice associate is created using JavaScript, HTML, and CSS, which give a simple to …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 28–39 Read article
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NLP Revolution in Education Feedback Analysis: Trends and Challenges
Abstract: Artificial Intelligence (AI) is a rapidly growing area of study in many domains like research and business. Various subsets of AI, such as Machine Learning, Deep Learning, and Natural Language Processing (NLP), are employed to address diverse aspects of data processing and modeling. This review is about the impact of AI on the education system and students feedback for the analysis is required for the enhancement of the technology used …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 21–25 Read article