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Journal articles on the topic 'Digital Language Processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Gonzalez-Dios, Itziar, and Begoña Altuna. "Natural Language Processing and Language Technologies for the Basque Language." Cuadernos Europeos de Deusto, no. 04 (July 22, 2022): 203–30. http://dx.doi.org/10.18543/ced.2477.

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The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years. In order to develop advanced systems that are considered the basics for an efficient digital communication (e.g. machine translation systems, text-to-speech and speech-to-text converters and digital assistants), it is necessary to digitalise linguistic resources and create tools. In the case of Basque, scholars have studied the creation of digital linguistic resources

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Bachate, Ravindra Parshuram, and Ashok Sharma. "Acquaintance with Natural Language Processing for Building Smart Society." E3S Web of Conferences 170 (2020): 02006. http://dx.doi.org/10.1051/e3sconf/202017002006.

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Natural Language Processing (NLP) deals with the spoken languages by using computer and Artificial Intelligence. As people from different regional areas using different digital platforms and expressing their views in their spoken language, it is now must to focus on working spoken languages in India to make our society smart and digital. NLP research grown tremendously in last decade which results in Siri, Google Assistant, Alexa, Cortona and many more automatic speech recognitions and understanding systems (ASR). Natural Language Processing can be understood by classifying it into Natural Lan

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Embree, Paul M., Bruce Kimble, and James F. Bartram. "C Language Algorithms for Digital Signal Processing." Journal of the Acoustical Society of America 90, no. 1 (1991): 618. http://dx.doi.org/10.1121/1.401205.

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Dolmans, Jeroen H. "C language algorithms for digital signal processing." Control Engineering Practice 4, no. 10 (1996): 1484–85. http://dx.doi.org/10.1016/0967-0661(96)85106-9.

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Németh, Renáta, and Júlia Koltai. "Natural language processing." Intersections 9, no. 1 (2023): 5–22. http://dx.doi.org/10.17356/ieejsp.v9i1.871.

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Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outside of sociology, while the expertise of sociology has been based on its own methods of research. Another challenge is epistemological: it is related to the validity of digital data and the different viewpoints associated with predictive and causal approaches. In our paper, we discuss the challenges and opportunities of the use of NLP in sociology, offer some

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Allah, Fadoua Ataa, and Siham Boulaknadel. "NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGE." International Journal on Natural Language Computing 12, no. 2 (2023): 75–89. http://dx.doi.org/10.5121/ijnlc.2023.12207.

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The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced people to profoundly review their relationships and interactions with digital technologies. Nevertheless, people prefer using these technologies in their favorite languages. Unfortunately, most languages are considered even as low or less-resourced, and they do not have the potential to keep up with the new needs. Therefore, this study explores how this kind of languages, mainly the Amazigh, will behave in the wholly digital environment, and what to expect for new trends. Contrary to last de

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Norilo, Vesa. "Kronos: A Declarative Metaprogramming Language for Digital Signal Processing." Computer Music Journal 39, no. 4 (2015): 30–48. http://dx.doi.org/10.1162/comj_a_00330.

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Kronos is a signal-processing programming language based on the principles of semifunctional reactive systems. It is aimed at efficient signal processing at the elementary level, and built to scale towards higher-level tasks by utilizing the powerful programming paradigms of “metaprogramming” and reactive multirate systems. The Kronos language features expressive source code as well as a streamlined, efficient runtime. The programming model presented is adaptable for both sample-stream and event processing, offering a cleanly functional programming paradigm for a wide range of musical signal-p

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Lazebna, N. V. "ENGLISH-LANGUAGE SENTENCE PROCESSING: DIGITAL TOOLS AND PSYCHOLINGUISTIC PERSPECTIVE." International Humanitarian University Herald. Philology 1, no. 46 (2020): 204–6. http://dx.doi.org/10.32841/2409-1154.2020.46-1.48.

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Müller, Marvin, Emanuel Alexandi, and Joachim Metternich. "Digital shop floor management enhanced by natural language processing." Procedia CIRP 96 (2021): 21–26. http://dx.doi.org/10.1016/j.procir.2021.01.046.

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KIERNAN, K. S. "Digital Image Processing and the Beowulf Manuscript." Literary and Linguistic Computing 6, no. 1 (1991): 20–27. http://dx.doi.org/10.1093/llc/6.1.20.

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Wattamwar, Aniket. "Sign Language Recognition using CNN." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 826–30. http://dx.doi.org/10.22214/ijraset.2021.38058.

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Abstract: This research work presents a prototype system that helps to recognize hand gesture to normal people in order to communicate more effectively with the special people. Aforesaid research work focuses on the problem of gesture recognition in real time that sign language used by the community of deaf people. The problem addressed is based on Digital Image Processing using CNN (Convolutional Neural Networks), Skin Detection and Image Segmentation techniques. This system recognizes gestures of ASL (American Sign Language) including the alphabet and a subset of its words. Keywords: gesture

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DeHart, Kenneth, and John Holbrook. "Emergency department applications of digital dictation and natural language processing." Journal of Ambulatory Care Management 15, no. 4 (1992): 18–23. http://dx.doi.org/10.1097/00004479-199210000-00005.

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J., Shruthi, and Suma Swamy. "A prior case study of natural language processing on different domain." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 5 (2020): 4928. http://dx.doi.org/10.11591/ijece.v10i5.pp4928-4936.

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In the present state of digital world, computer machine do not understand the human’s ordinary language. This is the great barrier between humans and digital systems. Hence, researchers found an advanced technology that provides information to the users from the digital machine. However, natural language processing (i.e. NLP) is a branch of AI that has significant implication on the ways that computer machine and humans can interact. NLP has become an essential technology in bridging the communication gap between humans and digital data. Thus, this study provides the necessity of the NLP in th

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Babatunde, A. N., A. A. Oke, B. F. Balogun, T. A. AbdulRahman, and R. O. Ogundokun. "A Deep Neural Network-Based Yoruba Intelligent Chatbot System." Advances in Multidisciplinary and scientific Research Journal Publication 10, no. 2 (2022): 69–80. http://dx.doi.org/10.22624/aims/digital/v10n2p4.

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Two Artificial Intelligence software systems, Bot and Chatbot have recently debuted on the internet. This initiate a communication between the user and a virtual agent. The modeling and performance in deep learning (DL) computation for an Assistant Conversational Agent are presented in this research (Chatbot). The deep neural network (DNN) technique is used to respond to a large number of tokens in an input sentence with more appropriate dialogue. The model was created to do Yoruba-to-Yoruba translations. The major goal of this project is to improve the model's perplexity and learning rate, as

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Sharma, Aryaman. "NATURAL LANGUAGE PROCESSING AND SENTIMENT ANALYSIS." International Research Journal of Computer Science 8, no. 10 (2021): 237–42. http://dx.doi.org/10.26562/irjcs.2021.v0810.001.

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Natural Language Processing is one of the branches of Artificial Intelligence that has only recently entered the spotlight. Apple Siri, Amazon Alexa, and, more recently, Google Duplex are just a few of the most well-known instances of NLP in work, with the technology delivering outstanding human-machine interactions. By 2023, there are estimated to be eight billion digital voice assistants in use, owing to their popularity. With such a large-scale use, the data generated from these interactions would also be immense. This untapped goldmine of data can be used to further research and developmen

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Funk, Burkhardt, Shiri Sadeh-Sharvit, Ellen E. Fitzsimmons-Craft, et al. "A Framework for Applying Natural Language Processing in Digital Health Interventions." Journal of Medical Internet Research 22, no. 2 (2020): e13855. http://dx.doi.org/10.2196/13855.

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Background Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making. Objective

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Lazebna, Nataliia. "ENGLISH-LANGUAGE BASIS OF PYTHON PROGRAMMING LANGUAGE." Research Bulletin Series Philological Sciences 1, no. 193 (2021): 371–76. http://dx.doi.org/10.36550/2522-4077-2021-1-193-371-376.

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The dynamic nature of the Python programming language, the accumulation of a certain linguosemiotic basis indicates the similarity of this language with the English language, which is the international one and mediates human communication in both real and virtual worlds. In this study, the English language is positioned as the linguistic basis of Python language of programming, which is widely used in industry, research, natural language processing, textual information retrieval, textual data processing, texts corpora, and more. English language, its lexical features, text representation and i

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Chen, Jian Xiang, and Hong Jun Sun. "The Digital Signal Processing Algorithm Implemented on ARM Embedded System." Advanced Materials Research 756-759 (September 2013): 3958–61. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.3958.

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Digital Signal Processing technology is an important tool for modern signal processing. The speedy development ARM embedded processor has powerful computed capability for digital signal processing algorithms. The paper provides a common hardware platform in recent years. In this paper, used assemble language to realize the algorithms and FIR Filter based on ARM-Linux embedded environment. The results shown that the ARM can quickly and efficiently complete a series of digital signal processing algorithms. Digital signal processing algorithm on ARM embedded system provides an effective way.

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Zhang, Xin. "Research and Design of Digital Signal Processing Virtual Experiment Platform." Applied Mechanics and Materials 401-403 (September 2013): 1415–18. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1415.

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An intelligent virtual experiment platform can effectively solve the shortcomings of traditional laboratory which is limited by space, time and cost. In this paper, the relevant characteristics of the digital signal processing experiments, the design of a digital signal processing virtual experiment platform. The platform uses B/S architecture model and the Java language, it has platform-independent. The platform allows the user to independently build experimental process, innovation and experimentation; while providing component registration, users can use their own familiar language developm

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Et. al., Srinivasa Rao Dhanikonda,. "A Survey On Telugu Optical Character Recognition From Digital Images." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 999–1003. http://dx.doi.org/10.17762/turcomat.v12i6.2412.

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Images play an essential function in the electronic media to share information. Nowadays, each event is going to be recorded in the arrangement of digital images. Text from the image file won't be in a format on the computer. OCR (Optical Character Recognition) for English vocabulary is well constructed. Currently, there's a requirement of OCR for Indian languages to maintain historical documents composed mainly in Indian languages to arrange publications in the library and for program form processing. OCR for the Telugu language is challenging as consonants and vowels plays a vital role in fo

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Müller, Marvin, and Joachim Metternich. "Assistenzsysteme durch Natural Language Processing - Umsetzungsstrategien für den Shopfloor." Industrie 4.0 Management 2021, no. 6 (2021): 11–14. http://dx.doi.org/10.30844/i40m_21-6_s11-14.

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Die Werkstattführung im Rahmen des sogenannten Shopfloor Managements (SFM) greift zunehmend auf digital erfasste Daten zurück. Die im Rahmen des SFM erkannten Abweichungen führen im besten Fall zu einer systematischen und nachhaltigen Lösung der zugrundeliegenden Probleme. Besonders wertvoll ist dabei das in Form von Freitext dokumentierte Wissen der Beschäftigten in der Ursachenforschung und Maßnahmendefinition. Im Transferprojekt TexPrax werden daher Ansätze aus dem Natural Language Processing (NLP) auf diese Textdaten angewendet, um Assistenzfunktionen im SFM zu realisieren. Dieser Beitrag

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Solomakha, Anzhelika. "APPLICATION OF DIGITAL TECHNOLOGIES FOR FORMATION OF FOREIGN LANGUAGE GRAMMAR COMPETENCE IN THE PROCESS OF EARLY LEARNING FOREIGN LANGUAGES (IN THE EXAMPLE OF THE GERMAN LANGUAGE)." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 8 (2020): 121–35. http://dx.doi.org/10.28925/2414-0325.2020.8.11.

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The methodology of teaching foreign languages is constantly looking for ways to effectively master foreign languages by primary school students. The article deals with the possibility of using digital and multimedia technologies in the process of forming foreign language grammar competence of younger students on the example of the German language. The analysis of foreign experience proved the relevance of the introduction of such technologies in the teaching process of educational institutions of all levels, but it also noted the lack of studying the method of using digital and multimedia tool

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Bai, Aruna. "Research on the Application of Computer Digital Technology in the Protection of Security Language." MATEC Web of Conferences 365 (2022): 01023. http://dx.doi.org/10.1051/matecconf/202236501023.

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Making full use of computer digital technology to carry out machine translation research, will realize the language variety conversion between national language and document information, and make the security language language realize the communication goal with no limit, it also lays a good foundation for the protection of security language and writing information and the construction of barrier-free national cultural exchange system. Based on the analysis of the current situation of the security language and characters, this paper probes into the concrete methods of protecting the security l

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Roy, Abhijit, Pamela E. Souza, and Ann Bradlow. "Exploring the need for language-specific hearing aid signal processing." Journal of the Acoustical Society of America 152, no. 4 (2022): A197. http://dx.doi.org/10.1121/10.0016012.

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Speech phonemes in higher frequencies have varying acoustic characteristics in different languages. For example, /s/ and /ʃ/, fricatives commonly used in English, have spectral peaks at higher frequencies than /ʂ/ and /x/, fricatives commonly used in Mandarin. Data on the relationship between the acoustic characteristics of a listener’s native language and their hearing aid signal prescription requirements could provide important clinical guidance. Non-linear frequency compression is a digital signal processing tool that compresses auditory information above a pre-determined cutoff frequency.

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Márquez Suárez, Fernanda. "Nuevos códigos para la enseñanza del color. Adoptando el lenguaje del Processing." Economía Creativa, no. 7 (May 1, 2017): 11–31. http://dx.doi.org/10.46840/ec.2017.07.02.

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El trabajo describe una experiencia de adopción de código digital para la enseñanza de color a nivel universitario mediante Processing. Se explican el contexto, el enfoque y los resultados preliminares alcanzados por tres grupos de control de programas creativos (diseño, arquitectura de interiores, entre otras). Se evidencia la problemática relacionada con la adquisición de este nuevo lenguaje, que impacta tanto profesores como a alumnos. Entre otros resultados de interés, se observó un contraste significativo entre las expectativas generales cifradas por los alumnos en este recurso, v

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Tareva, Elena G. "Foreign Language Teaching Practices: Online Projection." European Journal of Social & Behavioural Sciences 30, no. 2 (2021): 3409–20. http://dx.doi.org/10.15405/ejsbs.297.

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Nowadays, educational technologies, in particular, digital means and methods of teaching have become the subject of research studied from different angles. Of interest are educational practices that most successfully disseminate a positive learning experience. The purpose of this paper is to consider the phenomenon of ‘best/effective educational practices’ and present a set of those that have successfully proven to be effective in teaching foreign languages in a digital environment, in the context of distance learning. The research methods comprised an analysis of existing approaches to produc

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Dutsova, Ralitsa. "Web-based software system for processing bilingual digital resources." Cognitive Studies | Études cognitives, no. 14 (September 4, 2014): 33–43. http://dx.doi.org/10.11649/cs.2014.004.

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Web-based software system for processing bilingual digital resourcesThe article describes a software management system developed at the Institute of Mathematics and Informatics, BAS, for the creation, storing and processing of digital language resources in Bulgarian. Independent components of the system are intended for the creation and management of bilingual dictionaries, for information retrieval and data mining from a bilingual dictionary, and for the presentation of aligned corpora. A module which connects these components is also being developed. The system, implemented as a web-applicat

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Zhao, Xingzhi. "Research and application of deep learning in image recognition." Journal of Physics: Conference Series 2425, no. 1 (2023): 012047. http://dx.doi.org/10.1088/1742-6596/2425/1/012047.

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Abstract In recent years, deep learning technology has been one of the most important representatives of progress in the field of artificial intelligence technology in China. It has made great achievements in many fields, such as language recognition, natural language processing, image processing and video analysis. This paper further discusses the application research and practice of deep learning technology in modern digital image recognition. Deep learning technology has played a more and more important role in modern digital image recognition.

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Solnyshkina, Marina Ivanovna, Danielle S. McNamara, and Radif Rifkatovich Zamaletdinov. "Natural language processing and discourse complexity studies." Russian Journal of Linguistics 26, no. 2 (2022): 317–41. http://dx.doi.org/10.22363/2687-0088-30171.

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The study presents an overview of discursive complexology, an integral paradigm of linguistics, cognitive studies and computer linguistics aimed at defining discourse complexity. The article comprises three main parts, which successively outline views on the category of linguistic complexity, history of discursive complexology and modern methods of text complexity assessment. Distinguishing the concepts of linguistic complexity, text and discourse complexity, we recognize an absolute nature of text complexity assessment and relative nature of discourse complexity, determined by linguistic and

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A., Izay, and Onyejegbu L. N. "Digital Image Processing for Detecting and Classifying Plant Diseases." Circulation in Computer Science 2, no. 11 (2017): 1–7. http://dx.doi.org/10.22632/ccs-2017-252-66.

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Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of gre

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Hutchinson, Tim. "Natural language processing and machine learning as practical toolsets for archival processing." Records Management Journal 30, no. 2 (2020): 155–74. http://dx.doi.org/10.1108/rmj-09-2019-0055.

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Purpose This study aims to provide an overview of recent efforts relating to natural language processing (NLP) and machine learning applied to archival processing, particularly appraisal and sensitivity reviews, and propose functional requirements and workflow considerations for transitioning from experimental to operational use of these tools. Design/methodology/approach The paper has four main sections. 1) A short overview of the NLP and machine learning concepts referenced in the paper. 2) A review of the literature reporting on NLP and machine learning applied to archival processes. 3) An

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Koprawi, Muhammad. "Parallel Computation in Uncompressed Digital Images Using Computer Unified Device Architecture and Open Computing Language." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 8, no. 1 (2020): 31–38. http://dx.doi.org/10.33558/piksel.v8i1.2017.

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In general, a computer program will execute instructions serially. These instructions will be run on the CPU or referred to as serial computing. But when computing is run in large numbers, the time required by serial computing becomes very long. Therefore, we need another computation that can streamline data processing time such as parallel computing. Parallel computing can be done on GPUs (Graphical Processing Units) that are run with the help of toolkits such as CUDA (Computer Unified Device Architecture) and OpenCL (Open Computing Language). CUDA can only be run on NVIDIA graphics cards, wh

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Ramírez Sánchez, Julián, Alejandra Campo-Archbold, Andrés Zapata Rozo, et al. "Uncovering Cybercrimes in Social Media through Natural Language Processing." Complexity 2021 (December 10, 2021): 1–15. http://dx.doi.org/10.1155/2021/7955637.

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Among the myriad of applications of natural language processing (NLP), assisting law enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most recent and promising ones. The promotion of violence or hate by digital means is considered a cybercrime as it leverages the cyberspace to support illegal activities in the real world. The paper at hand proposes a solution that uses neural network (NN) based NLP to monitor suspicious activities in social networks allowing us to identify and prevent related cybercrimes. An LEA can find similar posts grouped in clusters, then d

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Obiorah ,, Philip, Friday Onuodu, and Batholowmeo Eke. "Topic Modeling Using Latent Dirichlet Allocation & Multinomial Logistic Regression." Advances in Multidisciplinary and scientific Research Journal Publication 10, no. 4 (2022): 99–112. http://dx.doi.org/10.22624/aims/digital/v10n4p11a.

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Unsupervised categorization for datasets has benefits, but not without a few difficulties. Unsupervised algorithms cluster groups of documents in an unsupervised fashion, and often output findings as vectors containing distributions of words clustered according to their probability of occurring together. Additionally, this technique requires human or domain expert interpretation in order to correctly identify clusters of words as belonging to a certain topic. We propose combining Latent Dirichlet Allocation (LDA) with multi-class Logistic Regression for topic modelling as a multi-step classifi

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Chen, Keliang, Yunxiao Zu, and Weizheng Ren. "Research and Design of Knowledge System Construction System Based on Natural Language Processing." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 12 (2019): 1959038. http://dx.doi.org/10.1142/s0218001419590389.

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The digital processing of content resources has subverted the traditional paper content processing model and has also spread widely. The digital resources processed by text structure need to be structured and processed by professional knowledge, which can be saved as a professional digital content resource of knowledge base and provide basic metadata for intelligent knowledge service platform. The professional domain-based knowledge system construction system platform explored in this study is designed based on natural language processing. Natural language processing is an important branch of

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Kyathanahalli Nanjappa, Sowmya, Sowmya Prakash, Aiswarya Burle, Nandish Nagabhushan, and Chaitanya Shashi Kumar. "mySmartCart: a smart shopping list for day-to-day supplies." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 3 (2023): 1484. http://dx.doi.org/10.11591/ijai.v12.i3.pp1484-1490.

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<p class="p1">Shopping of day-to-day items and keeping track of the shopping list can be a tedious and a time-consuming procedure, especially if it has to be done frequently. mySmartCart is a mobile application design proposed to transform the traditional way of writing a shopping list to a digitalized smart list which implements voice recognition and handwriting recognition for processing the natural language input of the user. The system design comprises four modules: i) input- which takes voice and handwritten list image input from the user; ii) processing- natural language processing

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Rasheed, Fahad, Mehmoon Anwar, and Imran Khan. "Detecting Cyberbullying in Roman Urdu Language Using Natural Language Processing Techniques." Pakistan Journal of Engineering and Technology 5, no. 2 (2022): 198–203. http://dx.doi.org/10.51846/vol5iss2pp198-203.

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Nowadays, social media platforms are the primary source of public communication and information. Social media platforms have become an integral part of our daily lives, and their user base is rapidly expanding as access is extended to more remote locations. Pakistan has around 71.70 million social media users that utilize Roman Urdu to communicate. With these improvements and the increasing number of users, there has been an increase in digital bullying, often known as cyberbullying. This research focuses on social media users who use Roman Urdu (Urdu language written in the English alphabet)

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Gamu, Dawit Tadesse, and Michael Melese Woldeyohannis. "Morphology-Based Spell Checker for Dawurootsuwa Language." Scientific Programming 2023 (May 10, 2023): 1–10. http://dx.doi.org/10.1155/2023/7625785.

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Processing of textual information by using word-processing tools is extremely increased due to the presence of misspelled or erroneous words. In order to minimize these misspelled words from digital information, different spellchecker tools are needed. A plenty of works are performed in technological favored languages like English and European languages but not for an underresourced language like Dawurootsuwa. The primary idea behind a morphology-based spellchecker is to use a dictionary lookup approach with morphological properties of the language to reduce dictionary size while also handling

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Mohamed, Hassan, Nur Aisyah Abdul Fataf, and Tengku Mohd Tengku Sembok. "A Framework for Malay Computational Grammar Formalism based-on Enhanced Pola Grammar." JOIV : International Journal on Informatics Visualization 7, no. 2 (2023): 363. http://dx.doi.org/10.30630/joiv.7.2.1172.

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In the era of IR4.0, Natural Language Processing (NLP) is one of the major focuses because text is stored digitally to code the information. Natural language understanding requires a computational grammar for syntax and semantics of the language in question for this information to be manipulated digitally. Many languages around the world have their own computational grammars for processing syntax and semantics. However, when it comes to the Malay language, the researchers have yet to come across a substantial computational grammar that can process Malay syntax and semantics based on a computat

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Galiotou, Eleni. "Using digital corpora for preserving and processing cultural heritage texts: a case study." Library Review 63, no. 6/7 (2014): 408–21. http://dx.doi.org/10.1108/lr-11-2013-0142.

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Purpose – The purpose of this paper is to describe the creation and exploitation of a historical corpus in an attempt to contribute to the preservation and availability of cultural heritage documents. Design/methodology/approach – At first, the digitization process and attempts to the availability and awareness of the books and manuscripts in a historical library in Greece are presented. Then, processing and exploitation, taking into account natural language processing techniques of the digitized corpus, are discussed. Findings – In the course of the project, methods that take into account the

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Pacheco-Guevara, Lizbeth, Ruth Reátegui, and Priscila Valdiviezo-Díaz. "Topic identification from news blog in Spanish language." Informática y Sistemas: Revista de Tecnologías de la Informática y las Comunicaciones 6, no. 1 (2022): 22–34. http://dx.doi.org/10.33936/isrtic.v6i1.4514.

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Currently exist a large amount of news in a digital format that need to be classified or labeled automatically according to their content. LDA is an unsupervised technique that automatically creates topics based on words in documents. The present work aims to apply LDA in order to analyze and extract topic from digital news in Spanish language. A total of 198 digital news was collected from a university news blog. A data pre-processing and representation in vector spaces was carried out and k values were selected based on coherence metric. A TF_IDF matrix and a combination of unigrams and bigr

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Spirintsev, Vyacheslav, Dmitry Popov, and Olga Spirintseva. "VIRTUAL DIGITAL ASSISTANT WITH VOICE INTERFACE SUPPORT." System technologies 2, no. 133 (2021): 42–51. http://dx.doi.org/10.34185/1562-9945-2-133-2021-06.

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A virtual digital assistant which can work with arbitrary systems and provide an effective solution of narrowly focused user tasks for interaction with Ukrainian services voice inter-face supported has been proposed. The developed web service was implemented by using the PHP programming language, Wit.ai service for audio signal processing, FANN library for neural network construction, Telegram service for creating an interface.

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Mialkovska, Liudmyla, Liudmyla Zhvania, Mariia Rozhylо, Oksana Terebus, Maksym Yablonskyy, and Volodymyr Hrysiuk. "Digital Tools in Teaching the Mass Media Language." World Journal of English Language 13, no. 4 (2023): 43. http://dx.doi.org/10.5430/wjel.v13n4p43.

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The functioning of language in modern media is a complex set of different types of discourses. It involves using mental and cultural codes, concepts and archetypes, taking into account the specifics of Internet content and methods of its promotion, along with traditional newspaper journalism, knowledge of the basics of cognitive, communicative and information-theoretical theories and methods, etc. The purpose of the academic paper is to clarify the features and modern tendencies of teaching the mass media language with the help of digital tools, as well as to establish particular practical asp

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Azzat, Media, Karwan Jacksi, and Ismael Ali. "The Kurdish Language Corpus: State of the Art." Science Journal of University of Zakho 11, no. 1 (2023): 125–31. http://dx.doi.org/10.25271/sjuoz.2023.11.1.1123.

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The notable growth of the digital communities and different online news streams led to the growing availability of online natural language content. However not all natural languages have the enough attention of being made readable and comprehendible to machines. Among these less resourced and paid attention languages is the Kurdish language. Creating the machine-readable text is the first step toward applications of text mining and semantic web, such as translation, information retrieval and recommendation systems. With the de facto challenges in the Kurdish language, such as the scarcity of l

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Ebraheem, Sundus Khaleel. "Perform Measuring by Using Image Processing." International Journal of Informatics and Communication Technology (IJ-ICT) 5, no. 1 (2016): 36. http://dx.doi.org/10.11591/ijict.v5i1.pp36-44.

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The development of ability of the computer leads to improve the abilities of digital image processing, because of the traditional measuring work needs much effort in the site for different fields, and has its difficulties and shortcoming points; therefore this paper introduces improvement for the method to solve the measuring problem, by using digital image processing. This paper improved the system of perform measuring of material for buildings by calculating the volume furthermore the area and dimensions for any position was pointed by the user. The improvement involved in addition to that c

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Moreno, Fábio Carlos, Cinthyan Sachs C. de Barbosa, and Edio Roberto Manfio. "Hash Tables for a Digital Lexicon." Revista de Informática Teórica e Aplicada 28, no. 2 (2021): 25–38. http://dx.doi.org/10.22456/2175-2745.107128.

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This paper deals with the construction of digital lexicons within the scope of Natural Language Processing. Data Structures called Hash Tables have demonstrated to generate good results for Natural Language Interface for Databases and have data dispersion, response speed and programming simplicity as main features. The storage of the desired information is done by associating a key through the hashing functions that is responsible for distributing the information in this table. The objective of this paper is to present the tool called Visual TaHs that uses a sparse table to a real lexicon (Lex

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Roth, Camille. "Digital, digitized, and numerical humanities." Digital Scholarship in the Humanities 34, no. 3 (2018): 616–32. http://dx.doi.org/10.1093/llc/fqy057.

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AbstractThe term ‘digital humanities’ may be understood in three different ways: as ‘digitized humanities’, by dealing essentially with the constitution, management, and processing of digitized archives; as ‘numerical humanities’, by putting the emphasis on mathematical abstraction and the development of numerical and formal models; and as ‘humanities of the digital’, by focusing on the study of computer-mediated interactions and online communities. Discussing their methods and actors, we show how these three potential acceptations cover markedly distinct epistemological endeavors and, eventua

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Vikas, G., M. V. S. Koushik, M. Nithya, and Ch Sudha. "Mobile Message Classification Using Natural Language Processing and Machine Learning Algorithms." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 3578–82. http://dx.doi.org/10.22214/ijraset.2023.54341.

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Abstract: SPAM: Stupid Pointless Annoying Malware is any unwanted, unsolicited digital communication sent out in bulk Although email is the most common method of spreading spam, it can also be communicated via social media, text messages, and phone calls. Sadly, whether we like it or not, spam messages must irritate everyone with a mobile device. Here this project classifies spam messages. Understanding different spam text classification techniques like extraction, text preprocessing, and NLTK stop words is vital. This project mainly focuses on the spam classification approach using machine le

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Kochanov, Andrey, Vyacheslav Zolotukhin, Vladislav Mironenko, Anastasia Savelyeva, and Anastasia Polyakova. "Digital processing of satellite images using neural network algorithms." Journal of Physics: Conference Series 2373, no. 6 (2022): 062026. http://dx.doi.org/10.1088/1742-6596/2373/6/062026.

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Abstract The article discusses the system, the basis of which can be divided into two parts, hardware and software. The hardware part is a single-board computer and software using, which includes the use of neural network algorithms. This system is able to extract the necessary information from the photo and/or video frame specified by the parameters when receiving images from the satellite. This possibility is relevant, because at the moment the trend is that large enterprises want to have at least a few small spacecraft on their account and in this regard they face a number of problems assoc

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Hvelplund, Kristian Tangsgaard. "Digital resources in the translation process – attention, cognitive effort and processing flow." Perspectives 27, no. 4 (2019): 510–24. http://dx.doi.org/10.1080/0907676x.2019.1575883.

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