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24 articles for “Applied Linguistics”
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Language and Climate Change Discourse: The IPCC Special Report on Global Warming of 1.5°C
Abstract: This research reviews how methodologies in Applied Linguistics have been applied to major aspects of climate change and sustainability discourse. Subsequently, a selection of those methods is applied to the most recent IPCC ‘Special Report’ on Global Warming of 1.5°C. Through comparison with existing data on the AR-Series Reports, a number of insights into the unique nature of the Special Report are achieved. Moreover, the Register Analysis framework, pervasive in …
Published in Research & Reviews : Journal of Ecology · Vol. 9, Issue 2, 2020 · pp. 11–23 Read article
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Scalability Analysis of Semantic Relational Key Terms based Document Clustering Using Parsing Text Calcification
Abstract: Abstract: Document agglomeration, one among the standard info mining ways, is an unsupervised learning worldview wherever agglomeration techniques endeavor to tell apart-inborn groupings of the text documents, with the goal that a meeting of clusters is made during which clusters show high intra-cluster closeness and low bury cluster likeness. The importance of document agglomeration rises out of the big volumes of matter documents created. Albeit varied document agglomeration techniques are …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 33–40 Read article
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Developing Techniques for Controlling Different Aspects of Text Generation Such as Tone and Contents
Abstract: Large Language Models (LLMs) have shown excellent text creation quality in Natural Language Processing (NLP). However, LLMs have to satisfy ever-more-complex standards in real-world applications. LLMs are supposed to meet specific user goals, like as mimicking specific writing styles or producing material with poetic richness, in addition to eliminating inaccurate or objectionable content. Controllable Text Generation (CTG) techniques were developed in response to these diverse demands. They guarantee that outputs …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 34–39 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Probing the Sentiment Analysis Variants
Abstract: AbstractNowadays online social networks are so popular that they have become a major component of an individual’s social interaction. They are also emotionally-rich environments where users share their emotions, feelings, ideas and thoughts. Sentiment Analysis (SA) or conclusion mining has, as of late, turned into the focal point of numerous specialists, since examination of online content is useful and requested for statistical surveying, logical reviews from psychological and sociological viewpoint, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 11–16 Read article
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Categorization of Indian Classical Music Using MB-BE Distributions
Abstract: Abstract: Information is usually made up of repetitive arrangements of basic patterns. The presence of such sequences contributes to the unique style/behaviour the information congregation represents. Various such congregations like music, language, biological signals exhibit this kind of repetitive patterns of symbolic sequences. The problem of categorizing such information collection is that the usual methods used are mostly nonquantifiable. In this study, its has been quantify that such abstractness using …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 9–15 Read article
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Extracting and Reducing the linguistics info Content of Web Documents to Support linguistics Document Retrieval
Abstract: Ranking and optimisation of net service compositions represent difficult areas of analysis with significant implication for realization of the “Web of Services” vision. The linguistics net, wherever the linguistics information is indicated mistreatment machine-process ready language like the net metaphysics Language (OWL) “ Semantic net service” use formal linguistics description of web service practicality and alter machine-controlled reasoning over net service compositions. These linguistics net services will then be mechanically …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 1, 2015 · pp. 10–18 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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A Disquisition on Artificial intelligence: and its significance in ME-BAD
Abstract: Artificial intelligence (AI) is software which is designed such a way that it can react as humans with natural intelligence (NI) and which can lessen the human work load. AI is a kind of a software or application which is developed for making decisions, resolving problems in real-time. Designing a model for the systems which must have a ability to recall things as human being and knowing the criterion, and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 51–57 Read article
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Font-Based Text Steganography for Covert Communication in Devanagari Script: A Review (2020–2026)
Abstract: Steganography hides the fact that a communication exists rather than merely safeguarding its content. Text is the most challenging of all steganographic media because it contains the least redundancy and is the most sensitive to changes. Devanagari script, with its conjunct consonants, ligatures, matras, and non-linear glyph construction, makes these difficulties even harder, rendering rendering-dependent and OCR- based steganographic methods largely ineffective. This paper presents a systematic review of text …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 22–33 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Using AHP in Belt Conveyor Selection Problem
Abstract: Belt conveyor plays a dominating role in screening creaser. The performance of belt conveyor is primary issue for screening creaser. There are various criteria which affect the performance of belt conveyor. Selection of belt conveyor is a Multi-criteria Decision Making (MCDM) problem. In that respect there are many methods available for selection of belt conveyor; however this paper targets to explore the applicability of AHP to solve belt conveyor selection …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 39–46 Read article
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Stock Market Forecasting Using Time Invariant Fuzzy Time Series Model
Abstract: Stock market volatility is an important for investment, option pricing and financial market regulation. In recent years a different types of models which apparently predict changes in stock market prices have been introduced. There are many methods in the literature to solve the problem of future prediction. The present study provides a foundation for the development and application of fuzzy time series model for short term investor as well as …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 104s–111s Read article
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Fuzzy Logic and Its Application
Abstract: Fuzzy Logic has an extremely vital role in the arena of computer science and engineering, Artificial Intelligence, control theory and mathematics etc. Fuzzy logic is the way of organizing belief or idea that cannot be defined precisely but which depends upon their contexts i.e. the human way of logic thinking, reasoning, and perception. Fuzzy Logic finds widespread use the businesses, medicinal sciences, engineering, behavioral sciences, etc. due to perpetually growing …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 31–38 Read article
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Unveiling Patterns in Complexity: The Role of Simple Statistics and Fuzzy Mathematics in Data Analysis
Abstract: In this study, statistical methods must be integrated with fuzzy mathematics to solve complex data. Statistical methods offer clear, unbiased, and computationally feasible tools for analysing numerical data. whereas fuzzy mathematics excels in describing the vagueness and ambiguity of human feeling by way of linguistic variables, membership functions, and inference systems. Giving it an apparent advantage when modelling complex conditions. Hybrid frameworks offer fine-grained decision-making and resilient adaptability to real-world …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 01–10 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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An Analytical Review on Word Sense Disambiguation
Abstract: Due to high Semantic Ambiguity that is associated with language, Word Sense Disambiguation is an open problem of Natural Language Processing and Ontology in Computer Linguistics. For instance, the word Head can mean the part of body and a person in charge of organization. The task of automatically assigning the most suitable meaning to a polysemous word can be defined as Word Sense Disambiguation. Several approaches have been done, from …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 32–37 Read article
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Effectiveness of the Culturally Responsive Instruction (CRI) Package on Teachers’ Comprehension of Culturally Responsive Behaviours
Abstract: India is a country of great cultural heritage, as seen in its art, literature, traditions, languages, and historical sites. Its diversity and vitality make it a unique place on the world map, drawing individuals from across the globe through tourism, festivals, yoga, and classical literature. Every state in India has its own distinct cultural and linguistic identity. Consider Bihar, for instance—it has been a key player in the educational history …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 26–33 Read article
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Graph based Word Sense Disambiguation for Gujarati
Abstract: Due to high Semantic Ambiguity that is associated with language, Word Sense Disambiguation is an open problem of Natural Language Processing and Ontology in Computer Linguistics. For instance, the Gujarati word પુવૅ (Purva) can mean East and Past. The task of automatically assigning the most suitable meaning to a polysemous word can be defined as Word Sense Disambiguation. Several approaches have been done, from Dictionary-and Knowledge-based method that uses Lexical …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 35–43 Read article
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Review of Antimalarial, Pesticidal and Repellent Plants in The Ethiopian Traditional Herbal Medicine
Abstract: AbstractA bibliographic survey of information available in various sources was undertaken and a rich assamblege of plants used as antimalarials, insecticidals and repellents in the Ethiopian traditional herbal medicine system was compiled. Those plant species were tabulated in Excel spreadsheet and descriptive statistics applied for analysis of the data. A total of 177 plant species belonging to 148 genera and 65 families were documented. Shrubs (40.1%) and herbs (39.5%) accounted …
Published in Research & Reviews : Journal of Herbal Science · Vol. 3, Issue 3, 2014 · pp. 21–45 Read article