Risultati della ricerca - language learning algorithm
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Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms
Pubblicazione 2025-06-01“...This study explores the potential of Julian Jaynes’ bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. ...”This study explores the potential of Julian Jaynes’ bicameral mind theory in enhancing reinforcement learning (RL) algorithms and large language models (LLMs) for artificial intelligence (AI) systems. By drawing parallels between the dual-process structure of the bicameral mind, the observation–acti...
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Besemah Language Translation Machine Model Based on Machine Learning with Recurrent Neural Network (RNN) Model Algorithm
Pubblicazione 2025-04-01“...Machine Learning involves the use of computers and mathematical algorithms that use data to make predictions in the future. ...”Indonesia consists of various tribes with their respective regional languages, one of which is the Besemah tribe in South Sumatra Province with its language culture, namely the Besemah Language. Until now, the Besemah Language is still used by the Besemah tribe, but over time the number of Besemah L...
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language
Pubblicazione 2024-03-01“...Classic clustering methods of the Scikit-Learn library in Python programming language are considered, such as KMeans, DBSCAN, Agglomerative Clustering and Affinity Propagation. ...”Modern computer systems are becoming increasingly complex. They provide us with many features, but sometimes anomalies in the system can negatively affect computer performance. In this case, the issue of anomaly detection is acute, since anomalous activity detected in time can prevent a cyber attack...
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Software implementation of the system for learning to write Chinese characters
Pubblicazione 2023-08-01“...Each of the writing features is an integral part of learning a language, since it can not only completely change the meaning of the written hieroglyph, but also help the learner to memorize the hieroglyph in a structured way, giving him a clear structure and algorithm of actions for writing the hieroglyph. ...”Objective. The purpose of the work is devoted to the development and description of the mathematical model of the Chinese character recognition system, taking into account all the features of writing the Chinese language. The Chinese language learning app with character recognition module can help y...
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An Item Response Theory-based R module for Algorithm Portfolio Analysis
Pubblicazione 2025-09-01Soggetti: TestoExperimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to fully understand their strengths and weaknesses within a comprehensive portfolio. This paper introduces an Item Response Th...
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Interpretable Reinforcement Learning for Sequential Strategy Prediction in Language-Based Games
Pubblicazione 2025-07-01“...However, existing models often struggle with poor adaptability and limited interpretability when applied to dynamic language prediction tasks such as <b>Wordle</b>. To address these challenges, this study proposes an interpretable reinforcement learning framework based on an Enhanced Deep Deterministic Policy Gradient (Enhanced-DDPG) algorithm. ...”Accurate and interpretable prediction plays a vital role in natural language processing (NLP) tasks, particularly for enhancing user trust and model transparency. However, existing models often struggle with poor adaptability and limited interpretability when applied to dynamic language prediction t...
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ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS
Pubblicazione 2018-06-01“...The software implementation of the proposed algorithms is implemented as a web service in the Java language....”The main advantage of using information technologies in education, which consists in speeding up and simplifying of information exchange, is also its drawback, because it raises the problem of plagiarism. The purpose of this paper is to develop testing text software for uniqueness in learning manage...
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Optimization of Business Processes in E-Commerceusing Artificial Intelligence Methods and Algorithms
Pubblicazione 2024-12-01“...The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. ...”The paper discusses methods and algorithms of artificial intelligence aimed at automating and optimizing business processes in e-commerce. The possibilities of using artificial intelligence to personalize customer offers, predict consumer behavior and segment customers using machine learning methods...
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Charting new territories: fuzzy systems in English language teaching and learning
Pubblicazione 2025-07-01“...Results The results showed that, on average, students using the FB-ITS took less time to complete the post-test than students using the conventional e-learning system. This research proposes an English teaching and learning approach that has been very successful based on experimental findings of related big data clustering algorithms. ...”Background In reality, the English language is a mystery; despite its inherent worth and the advantages of fluency, there is a pervasive impression that English instruction in secondary schools is of low quality, contributing to students’ lack of proficiency in the language in higher education and b...
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RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models
Pubblicazione 2025-06-01TestoThe detection of abusive language in Roman Urdu is important for secure digital interaction. This work investigates machine learning (ML), deep learning (DL), and transformer-based methods for detecting offensive language in Roman Urdu comments collected from YouTube news channels. Extracted feature...
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Development and Application of a Software Tool to Support the Teaching of Formal Languages
Pubblicazione 2021-08-01“...A methodology for learning programming languages through formal languages is proposed. ...”The purpose of the article is to present the results of a study on the possibility of using a deductive approach in the study of programming languages (from the theory of formal languages to specific programming languages) and the development of a training system for implementing this approach. The...
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CREATION OF COLLABORATIVE DEVELOPMENT ENVIRONMENT IN THE SYSTEM OF DISTANCE LEARNING
Pubblicazione 2019-06-01“...At the same time, the following tasks are solved: a review and comparison of existing systems of distance learning; analysis of the functional and features of the Sphere Engine platform; development of the integration algorithm of the service with the system Moodle. ...”The subject of the study in the article is methods and tools for the creation and implementation of distance learning systems (DLS). The interactive capabilities used in the distance education system, programs and information delivery systems allow for feedback, dialogue and ongoing support that are...
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A neural collaborative filtering recommendation algorithm based on attention mechanism and contrastive learning
Pubblicazione 2025-07-01TestoThe neural collaborative filtering recommendation algorithm widely serves as personalized recommendations of users, which further applies deep learning to a recommendation system. It is a universal framework in the neural collaborative filtering recommendation algorithm; however, it does not regard...
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Identification of Perceptual Phonetic Training Gains in a Second Language Through Deep Learning
Pubblicazione 2025-06-01“...This study addresses this gap by developing a deep learning algorithm designed to identify perceptual gains resulting from second language (L2) phonetic training. ...”Background/Objectives: While machine learning has made substantial strides in pronunciation detection in recent years, there remains a notable gap in the literature regarding research on improvements in the acquisition of speech sounds following a training intervention, especially in the domain of p...
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Potential of Graphic Organizers in Developing Communicative Competence in Learning Russian as a Foreign Language
Pubblicazione 2025-06-01“...As a result of their use, students learn to transform information into a plan, algorithm, table, diagram; skillfully present educational material in visual and verbal form; use a dialogical form of communication; transform information into a more accessible form for further use in life situations. ...”Background. Graphic organizers (in particular, the hierarchical diagram “How?” and the “Pyramid” scheme) play a significant role in the study of Russian as a foreign language by high school students. They contribute not only to the formation of foreign-language communicative competence, but also dev...
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The role of translation in teaching a foreign language in a non-linguistic university
Pubblicazione 2023-06-01Soggetti: TestoIn the conditions of constant renewal of the modern education, the development of methods for increasing the efficiency of developing professional competencies in teaching a foreign language in a non-linguistic university becomes relevant.It is necessary to resolve the contradiction caused by the ex...
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning
Pubblicazione 2023-11-01“...In general, both deep classification algorithm. A combination of both approaches can also learning and feature-based selection methods can be used to solve be used to further improve the efficiency of the algorithm. some of the most pressing problems. ...”Purpose of research. The purpose of the study is to evaluate certain machine learning models in data processing based on speed and efficiency related to the analysis of sentiment or consumer opinions in business intelligence. To highlight the existing developments, an overview of modern methods and...
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Learning Style Analysis Based on Felder-Silverman Index Model Using Rule Base Algorithm
Pubblicazione 2024-05-01“...The Rule Base algorithm is used to classify students based on their learning style characteristics. ...”Understanding everyone’s unique learning style is key to achieving lasting academic success. The importance of this understanding becomes increasingly important, especially when students are not aware of effective learning strategies, which can inadvertently become an obstacle to their progress. To...
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Social Intelligence Mining: Transforming Land Management with Data and Deep Learning
Pubblicazione 2025-06-01TestoThe integration of social intelligence mining with Large Language Models (LLMs) and unstructured social data can enhance land management by incorporating human behavior, social trends, and collective decision-making. This study investigates the role of social intelligence—derived from social media—i...
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The human touch in AI: optimizing language learning through self-determination theory and teacher scaffolding
Pubblicazione 2025-07-01“...Cultural factors significantly influenced technology acceptance.DiscussionFindings underscore that AI’s potential in language learning is maximized when strategically integrated with human pedagogical expertise, which addresses AI’s limitations related to cultural nuances, overcorrection, and trust. ...”IntroductionArtificial intelligence (AI) is transforming language education, yet its long-term impact on motivation and proficiency, particularly how AI-driven gamification and teacher scaffolding interact in culturally distinct EFL contexts, remains underexplored. This study investigates the sustai...
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