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75 articles for “Machine Translation”
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Machine Translation (MT) Technique: A Review
Abstract: Machine translation (MT) is the process of automatically translating the content from one language (the Source or the input) into another (The Target or the Output) by the use of Artificial Intelligence. The advantage of machine translation is that it can translate large amounts of text in a very short period of time. Translation was one of the first implementations of computing power, beginning in the 1950s. This Project focuses …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 7–10 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, “Real Time Language Translation Application Using Tkinter”, was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google’s Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Real-time Voice-over Translation
Abstract: The real-time voice-over translation project stands as a pioneering endeavor poised to reshape the landscape of cross-cultural communication. In response to the escalating demand for fluid interaction amidst linguistic diversity, this initiative sets out to engineer a transformative solution. Its core objective lies in the seamless mediation of language barriers during real-time exchanges. Through the fusion of cutting-edge speech recognition and machine translation technologies, the project endeavors to fabricate a …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 24–32 Read article
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A Real-life Healthcare Chatbot with IBM Cloud Services in Python
Abstract: A chatbot or conversational specialist is a product that can speak with a human by utilizing normal language. One of the fundamental undertakings in computerized reasoning and normal language handling is the demonstrating of discussion. Since the start of man-made brainpower, it has been the hardest task to make a decent chatbot. Despite the fact that chatbots can perform numerous errands, the essential capacity they need to play is to …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 1–4 Read article
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Survey Paper on Multilingual Live Call Translation Using Deep Learning
Abstract: This research work surveys cutting-edge language translation technologies, including multi-lingual, real-time translation, voice recognition, speech-to-text conversion, and transcription in the hearing process. The study explores the complex mechanisms behind voice call language translation, focusing on sophisticated machine learning models integrated with cloud-based or local applications to facilitate seamless communication across language barriers. Furthermore, conducting research in live communication analyzes the complexity of text and voice techniques to deliver translated content …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 13–21 Read article
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Translation Issues and Problems in Automation of Sign Language
Abstract: Over 466 million people, including 432 million adults and 34 million children, have hearing impairments globally. Deaf persons have extremely little or no access to educational resources and other types of information. While visiting or traveling in public locations in the absence of a sign interpreter, members of the deaf community are typically in an uncomfortable situation. Public announcements made in public spaces are incomprehensible to deaf persons. Without the …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article
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Development of 3D Avatar based ISL Dictionary for Public Places Terminology
Abstract: A synthetic animated Indian Sign Language (ISL) dictionary could be a great tool for deaf people to communicate their thoughts, opinions, and ideas to hearing people in the current computerized era. There is currently no ISL synthetic animated dictionary designed specifically for public places, despite the fact that there are numerous human-based video dictionaries available. In this article, the creation of a 4231-word ISL dictionary for various public places terminology …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 77–82 Read article
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A Voice Based Framework in Medical Emergency and Essential Services Using NLP (In Special Reference to People with Writing Disability)
Abstract: Natural Language Processing (NLP) has become increasingly popular in recent years as a means of organising and structuring knowledge for tasks such as translation, summarization, named entity recognition, relationship extraction, and audio recognition. The processing efficiency of NLP based systems has increased significantly with the introduction of deep learning algorithms. The COVID-19 pandemic has posed a challenge to medical research, information technology operations, corporate procedures, and the global economy. Several …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Development of Various Application of NLP for Mizo Language
Abstract: This paper presents a survey on Application of NLP (Natural language Processing) for Indian Language and we mainly focused on Mizo Language. Indian Languages are morphologically well-off and agglutinative that adds one extra fence. Mizo Languages known as Lushai language; it belongs to the branch of Sino-Tibetan language family. It is the official language of Mizoram, the North Eastern State of India. Moreover, it is a morphologically language with genetic …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 7–15 Read article
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Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
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Handling Inflections for Translation and Part of Speech (POS) Tagging of Bengali Words
Abstract: AbstractThis paper presents a translation scheme and parsing strategy of Bengali words aiming to develop a machine translation (MT) system for Bangla to English. In this research, we have focused large diversity of the complex inflection variations in Bengali language. As the inflected words without exception are not readily available in the dictionary, identifying the root words or stems from inflected words are essential for correct translation. In our work, …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 27–34 Read article
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A Survey on Word Sense Disambiguation for Persian language
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It’s used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition attachment, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 12–17 Read article
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A Supervised Word Sense Disambiguation for Persian Using k-NN Approach
Abstract: Natural language processing (NLP) is considered as one of the most important subfields of Artificial Intelligence. It is used to provide an Interface between Computer and Human languages. NLP has found its application on several areas such as Speech processing, Summation of text, Machine translation, Searching, Information grouping, Parts of Speech Tagging (POS), Sentiment analysis and etc. Natural language processing is posing some challenges in speech recognition, ambiguity in preposition …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 26–34 Read article
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An Approach to Translate English Voice to Bangla Text for Android EnvironmentAn Approach to Translate English Voice to Bangla Text for Android Environment
Abstract: Voice recognition and machine translation (MT) has become the open research field in the recent years. Voice or speech recognition technique has improved vastly and MT is getting more popular to the modern generation day by day. In this work, we describe the construction method of MT sentence with the help of Google voice recognizer. An adapting rule based statistical MT system has been used to translate the English sentence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 23–28 Read article
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Speech-Text-Speech Translator: A Generative AI Framework for Real-Time, Identity-Preserving S2S Translation
Abstract: Different languages have been proved a great obstacle to global communication despite the internet's role in allowing information sharing all over the world. While presenting an extensive number of current solutions, traditional Machine Translation (MT) systems are unable to convey complex contextual information and dialects including "Hinglish". Above all, the voice of the interlocutor is lost and is replaced with an artificial one, programmed to mimic the voice of the …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 47–57 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
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Enhanced Task Automation through IoT and ChatGPT Integration in Personal AI Companions
Abstract: A new breed of clever, likable, and natural-sounding personal AI companions could be produced by integrating ChatGPT with IoT gadgets. The Internet of Things (IoT) and artificial intelligence (AI) are developing at a rapid pace, which has created exciting new opportunities for the creation of intelligent and personalized companions. The goal of this suggested system is to improve user experiences by offering a flexible AI-driven assistant. It does this by …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 19–24 Read article
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FLUTTERCHAT: A Real-time Firebase Chat Application with AI-based Chatbot
Abstract: Recently, the development and deployment of chatbots have gathered significant attention from both developers and researchers. Chatbots represent AI-driven conversational systems capable of understanding and responding to human language using advanced techniques like Natural Language Processing (NLP) and Neural Networks (NN). A cutting-edge real-time chat application has been crafted using Flutter and OpenAI, seamlessly integrating an AI-powered chatbot with an innovative image generator to enrich user interaction and engagement. The …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 42–51 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article