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Journal articles on the topic 'Using the dictionary'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

MIHOV, S., and K. U. SCHULZ. "Efficient dictionary-based text rewriting using subsequential transducers." Natural Language Engineering 13, no. 4 (2007): 353–81. http://dx.doi.org/10.1017/s1351324905004092.

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AbstractProblems in the area of text and document processing can often be described astext rewriting tasks: given an input text, produce a new text by applying some fixed set of rewriting rules. In its simplest form, a rewriting rule is given by a pair of strings, representing a source string (the “original”) and its substitute. By a rewriting dictionary, we mean a finite list of such pairs; dictionary-based text rewriting means to replace in an input text occurrences of originals by their substitutes. We present an efficient method for constructing, given a rewriting dictionaryD, a subsequent

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2

Idham, Farid, and Ona Maliki. "Aplikasi Kamus Istilah Komputer Pada Perangkat Mobile Menggunakan fitur Voice, Abjad dan Kategori Berbasis Android." JSAI (Journal Scientific and Applied Informatics) 5, no. 1 (2022): 12–19. http://dx.doi.org/10.36085/jsai.v5i1.2778.

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The dictionary, the term computer widely circulated today, is still in the form of books. Many make it difficult for users because they have to search for the meaning and terms of the computer manually. The method used in this research using the Research and Development method, where the researcher conducts fact gathering that refers to the KBBI dictionary. It was then built using the android studio application as a medium to create an information system term computer dictionary.Â With this Android-based dictionary, anyone and anywhere anyone can access it easily. For that, there is a need for

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Konkina, N. "Associative text field of spatial limit (on the material of the “Dostoevsky Language Dictionary”)." Rhema, no. 1, 2019 (2019): 20–35. http://dx.doi.org/10.31862/2500-2953-2019-1-20-35.

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The paper offers the textual associative field reconstruction method using the “Dostoyevsky Language Dictionary”. The logic of modelling the textual associative field of spatial border is applied to the Dictionary’s data. The idioglosses described in the paper are included in the same symbolic paradigm so the more detailed symbolic meaning description is possible by comparing the contexts of their use. Besides, the comparison of “Dostoyevsky Language Dictionary” and “Russian Associative Dictionary” data allows finding some peculiarities of the words with the spatial border meaning functioning

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Syahda, Zakkia, and Badruzzaman Badruzzaman. "Developing the textbook "Arabic Language Lessons in the Modern Way" In The Illustrated Dictionary To Upgrade Students' Reading Skills (Research Development At The Insan Qurani Institute Aceh Besar)." EL-MAQALAH : Journal of Arabic Language Teaching and Linguistics 5, no. 2 (2024): 36–49. https://doi.org/10.22373/maqalah.v5i2.5182.

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In this research, the researcher developed the textbook “Durus Al-Lughah Al-‘Arabiyyah ‘Ala Ath-Thariqah Al-Haditsah” With The Picture Dictionary To Improve Students’ Ability In Reading Skills (Research And Development At Insan Qur’ani’s Islamic Boarding School, Aceh Besar). The researcher conducted the observation in the 7th grade at Insan Qur’ani’s Islamic Boarding School, Aceh Besar. The problem that students face when learning the Arabic language is their weak understanding of the studied material due to their lack of control over new Arabic vocabulary and words. The objectives of this res

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Alharbi, Majed A. "Using different types of dictionaries for improving EFL reading comprehension and vocabulary learning." JALT CALL Journal 12, no. 2 (2016): 123–49. http://dx.doi.org/10.29140/jaltcall.v12n2.j204.

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This study investigated the effects of monolingual book dictionaries, popup dictionaries, and type-in dictionaries on improving reading comprehension and vocabulary learning in an efl program. An experimental design involving four groups and a post-test was chosen for the experiment: (1) pop-up dictionary (experimental group 1); (2) type-in dictionary (experimental group 2); (3) book dictionary (experimental group 3); and (4) no dictionary aid (control group). Following training on different types of paper and electronic dictionaries, posttests were given to the participants. Findings showed d

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Kapoor, Pranav, Pratham Agrawal, and Aju D. "ANALYZING PASSWORD DECRYPTION TECHNIQUES USING DICTIONARY ATTACK." International Journal of Advanced Research 9, no. 08 (2021): 515–23. http://dx.doi.org/10.21474/ijar01/13299.

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To guard ourselves against a word attack or a breach, it is always important to have an awareness of the unremarkably used sorts of attacks. The most common type of attack is password guessing. Hackers can guess the passwords locally or remotely using either manually or through an automated approach. One such attack is Dictionary Attack. A dictionary attack tries to make an authentication mechanism fail by sequentially entering each word in a dictionary as a password or trying to find the decryption key of an encrypted message or document. In this paper, an empirical research on how dictionary

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Nguyen, Dong, Barbara McGillivray, and Taha Yasseri. "Emo, love and god: making sense of Urban Dictionary, a crowd-sourced online dictionary." Royal Society Open Science 5, no. 5 (2018): 172320. http://dx.doi.org/10.1098/rsos.172320.

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The Internet facilitates large-scale collaborative projects and the emergence of Web 2.0 platforms, where producers and consumers of content unify, has drastically changed the information market. On the one hand, the promise of the ‘wisdom of the crowd’ has inspired successful projects such as Wikipedia, which has become the primary source of crowd-based information in many languages. On the other hand, the decentralized and often unmonitored environment of such projects may make them susceptible to low-quality content. In this work, we focus on Urban Dictionary, a crowd-sourced online diction

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Wu, Ying, Jian Zhou, Nicholus Tayari Akankwasa, Kai Wang, and Jun Wang. "Fabric texture representation using the stable learned discrete cosine transform dictionary." Textile Research Journal 89, no. 3 (2017): 294–310. http://dx.doi.org/10.1177/0040517517743688.

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To obtain a stable fabric texture representation result and improve the computation speed, a novel method based on dictionary learning is presented. The dictionary is learned by the alternating least-squares method using discrete cosine transform (DCT) as the initiation dictionary. To test the effectiveness of the dictionary, we comprehensively investigated 42 diverse fault-free woven fabric samples, and three fabrics with defects. After the preprocessing procedure, the woven fabric samples were characterized by the learned dictionary. The experiments on 37 samples with different fabric densit

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Abdulghany, Suzan Saadulla, and Fakhir Najmadeen Qara Mohammed. "Using Main Informations in Didactic Dictionary (Harza Dictionary) as a Model." JOURNAL OF LANGUAGE STUDIES 6, no. 1 (2022): 238–50. http://dx.doi.org/10.25130/jls.6.1.13.

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In This paper, statistical method is followed which is an important method in Linguistics and Lexicography, the paper focuses on using main informations in didactic dictionary in (Harza dictionary) as a specific Kurdish- Kurdish didactic dictionary for Secondary and High School students, and show the important statistical tables for main informations in didactic dictionary and the paper denotes the main informations in Linguistics, Phonology, Morphology, Syntax and Semantics, after that we study encyclopedic informations and terms in Secondary and High School textbooks in (Harza dictionary), F

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Tanjung, Muhammad Fadly. "Boosting Stemmer Performance Using Cache Method." Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) 1, no. 1 (2021): 6–9. http://dx.doi.org/10.54076/jumpa.v1i1.34.

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Stemming is the process of returning the word to the base word by disappearing the append. This is important to support better information re-meeting. Some research in stemming algorithms includes nazief &adriani algorithms, confix stripping, enhanced confix stripping, arifin and porter algorithms. The stemming algorithm for Bahasa Indonesia is divided into two, namely those that use a dictionary and do not use a dictionary. Some studies have shown that stemmers that use dictionary have high accuracy but low process speed, while stemmers that do not use dictionary have low accuracy but hig

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Debenport, Erin, Mishuana Goeman, Maria Montenegro, and Michael Wynne. "How a Dictionary Became an Archive: Community Language Reclamation Using the Mukurtu Content Management System." Dictionaries: Journal of the Dictionary Society of North America 44, no. 2 (2023): 29–55. http://dx.doi.org/10.1353/dic.2023.a915064.

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ABSTRACT: Mukurtu is a "free, mobile, and open-source platform built with Indigenous communities to manage and share digital cultural heritage" developed by Waramungu people in Central Australia and Kimberly Christen, a scholar who conducted long-term fieldwork in this Aboriginal community (Mukurtu 2023). Users can archive images, videos, and texts, and most importantly, the platform requires community consultation and collaboration. Mukurtu responds to requests for tools to use in language revitalization projects that were not designed by and for linguists. The platform has fields for words,

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Gan, Chenquan, Junwei Mao, Zufan Zhang, and Qingyi Zhu. "A tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction." International Journal of Distributed Sensor Networks 16, no. 4 (2020): 155014772091640. http://dx.doi.org/10.1177/1550147720916408.

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Tensor compression algorithms play an important role in the processing of multidimensional signals. In previous work, tensor data structures are usually destroyed by vectorization operations, resulting in information loss and new noise. To this end, this article proposes a tensor compression algorithm using Tucker decomposition and dictionary dimensionality reduction, which mainly includes three parts: tensor dictionary representation, dictionary preprocessing, and dictionary update. Specifically, the tensor is respectively performed by the sparse representation and Tucker decomposition, from

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Petrichenko, Larisa O. "Mobile-oriented Learning: Developing and Using Infoword Application «Informatics Dictionary»." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 4813–26. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020193.

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Chen, Wenliang. "Text Representation Using Domain Dictionary." Journal of Computer Research and Development 42, no. 12 (2005): 2155. http://dx.doi.org/10.1360/crad20051219.

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Hoang, Dzung T., Philip M. Long, and Jeffrey Scott Vitter. "Dictionary selection using partial matching." Information Sciences 119, no. 1-2 (1999): 57–72. http://dx.doi.org/10.1016/s0020-0255(99)00060-2.

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Bhatia, Anil. "Kanji Retrieval by Recursive Location of Elements Using HyperCard." CALICO Journal 9, no. 2 (2013): 4–25. http://dx.doi.org/10.1558/cj.v9i2.4-25.

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There are a number of Japanese-English computer dictionaries. However, they do not provide the Japanese language student with an adequate means of retrieving kanji (Chinese characters). The study here outlines the implementation and evaluation of a computer-based kanji finder. The electronic kanji finder was implemented on a Macintosh using HyperCard, with regard to student needs, based on sound pedagogical and human factor principles. An evaluation of the implementation based on a comparison of the retrieval methods of a traditional dictionary was made, giving students access to both the comp

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Tanjung, Ayumi Pratiwy, and Sholihatul Hamidah Daulay. "Exploring Students' Perceptions of Using the Application Online Dictionary." Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara 15, no. 1 (2023): 84–90. http://dx.doi.org/10.37640/jip.v15i1.1671.

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Online applications are currently growing rapidly in the world of education, one of which is an online dictionary application. The online dictionary application allows students to learn English easily. Therefore, it is necessary to conduct research to determine students' perceptions of the use of online dictionary applications to improve students' vocabulary mastery. This study was formulated to find out students' perceptions of using online dictionaries to improve their vocabulary. The method used is a descriptive qualitative method. The subjects of this study were students of class XI TKJ wh

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Abiola, Oladimeji A., Ojukwu, Enoch O., Ogunseye, Elizabeth O., and Akinola, Solomon O. "Development of an Inclusive Visual Dictionary for Autistic Children Using Human-Computer Interaction." Advances in Multidisciplinary & Scientific Research Journal Publications 10, no. 2 (2024): 31–41. http://dx.doi.org/10.22624/aims/sij/v10n2p4.

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Autism Spectrum Disorder (ASD) often face challenges in social interaction and communication. ASD communication resources will help in comprehensiveness, user-friendliness, and individual customization which this research addresses by developing a comprehensive Visual Dictionary (VD) designed specifically for their ASD needs. The research leverages on the visual strengths of children with ASD by creating a visually engaging and interactive dictionary using Figma tool due to its flexibility. The Visual Dictionary will provide a wide range of vocabulary and concepts relevant to children with ASD

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Tang, Zunyi, Shuxue Ding, Zhenni Li, and Linlin Jiang. "Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent." Abstract and Applied Analysis 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/259863.

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Sparse representation of signals via an overcomplete dictionary has recently received much attention as it has produced promising results in various applications. Since the nonnegativities of the signals and the dictionary are required in some applications, for example, multispectral data analysis, the conventional dictionary learning methods imposed simply with nonnegativity may become inapplicable. In this paper, we propose a novel method for learning a nonnegative, overcomplete dictionary for such a case. This is accomplished by posing the sparse representation of nonnegative signals as a p

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Yuferev, Vitaly I., and Nikolai A. Razin. "Word-embedding Based Text Vectorization Using Clustering." Modeling and Analysis of Information Systems 28, no. 3 (2021): 292–311. http://dx.doi.org/10.18255/1818-1015-2021-3-292-311.

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It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. This situation is due to the fact that when using word-embedding models, information is lost when converting the vector representations of the words that make up the text into a vector representation of the entire text, which usually has the same dimension as the vector of a single word.This paper proposes an alternative way for

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Yuferev, Vitaly I., and Nikolai A. Razin. "Word-embedding Based Text Vectorization Using Clustering." Modeling and Analysis of Information Systems 28, no. 3 (2021): 292–311. http://dx.doi.org/10.18255/1818-1015-2021-3-292-311.

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It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. This situation is due to the fact that when using word-embedding models, information is lost when converting the vector representations of the words that make up the text into a vector representation of the entire text, which usually has the same dimension as the vector of a single word.This paper proposes an alternative way for

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Shivam, Saini, Pathak Shivani, and Sharma Sandeep. "Dictionary Based Compression using Bit Wise Technique for Cloud Migration." International Journal of Computer Science Issues 15, no. 3 (2018): 36–43. https://doi.org/10.5281/zenodo.1292416.

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In era of cloud computing, data migration is an important issue to minimize cost and time incurred to transmit the data across the network. Data compression is a technique that helps to significantly reduce the transmission time and thus reducing cost. In this paper, a new dictionary-based compression algorithm using bit wise technique has been introduced. The algorithm constitutes two dictionaries, primary dictionary (Static) and secondary dictionary (Dynamic). The data to be transmitted is first divided into chunks of fixed size(16K) and then transmitted after compression along with secondar

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Jayanth, Chikkarangaiah, Uday Adarsh, De Hilster David, Gangadhar Shobha, and Shetty Jyoti. "Enhancing the English natural language processing dictionary using natural language processing++." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3466–77. https://doi.org/10.11591/ijai.v13.i3.pp3466-3477.

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Every natural language-based project requires the use of an English dictionary. But the current English dictionaries are not updated as the English language is constantly evolving. The English dictionary used for natural language processing (NLP) projects needs to be enhanced by adding more words and phrases. This helps in improving the accuracy of NLP applications such as machine translation, performance of text analysis, recognition, and part of speech (POS) tagging. Several approaches are proposed in this direction, this paper develops and demonstrates enhancement of the English dictionary

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Stepanovna Rufova, Elena. "New Approach to the Yakut Language Dictionary: Preface as Paratext." Qubahan Academic Journal 4, no. 4 (2024): 237–49. https://doi.org/10.48161/qaj.v4n4a1248.

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This article investigates the communicative and pragmatic potential of the lexicographic preface, with a focus on the preface to the Dictionary of the Yakut Language by E.K. Pekarsky (1907), which creation is associated with the Sibiryakov’s (Yakut) expedition of the Imperial Russian Geographical Society (1894-1896). Publishing of this dictionary is determined as a significant scientific fact for researchers of the issues of Yakut linguistics in the context of the scientific paradigm of Russian Turkology. The present study aims to explore the historical, social, and cultural factors influencin

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Rizqia, Asa Qubaila Sitta Zidna, Aninda Nisa Maylana, and Khabibi Muhammad Luthfi. "Arabic-Indonesian Dictionary: Comparison of Digital Dictionary and Printed Dictionary." Al-Ma‘rifah 19, no. 1 (2022): 41–52. http://dx.doi.org/10.21009/almakrifah.19.01.04.

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The Arabic-Indonesian Digital Dictionary (KDAI, lit Kamus Digital Arab Indonesia) available in the play store and the Printed Arabic-Indonesian Dictionary (KCAI, lit Kamus Cetak Arab Indonesia) by Muhammad Yunus are two dictionaries that provide two languages with different publications. Digital and printed dictionaries and the comparison of the two dictionaries based on the ideal dictionary even though the number of enthusiasts is other. This study uses a descriptive qualitative approach with the method of literature. The digital dictionary is the most in-demand one, with 1,000,000 download

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Ojha, Chandrakanta, Adele Fusco, and Innocenzo M. Pinto. "Interferometric SAR Phase Denoising Using Proximity-Based K-SVD Technique." Sensors 19, no. 12 (2019): 2684. http://dx.doi.org/10.3390/s19122684.

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This paper addresses the problem of interferometric noise reduction in Synthetic Aperture Radar (SAR) interferometry based on sparse and redundant representations over a trained dictionary. The idea is to use a Proximity-based K-SVD (ProK-SVD) algorithm on interferometric data for obtaining a suitable dictionary, in order to extract the phase image content effectively. We implemented this strategy on both simulated as well as real interferometric data for the validation of our approach. For synthetic data, three different training dictionaries have been compared, namely, a dictionary extracted

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Tus Sadiah, Halimah, Muhamad Saad Nurul Ishlah, and Nisa Najwa Rokhmah. "Autocorrect on Drugs e-Dictionary Search Module Using Levenshtein Distance Algorithm." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 1 (2020): 64–69. http://dx.doi.org/10.29207/resti.v4i1.1401.

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The Dictionary of Medicine in the form of a physical book has many drawbacks, one of them is its thickness makes it impractical to be carried. This becomes a motivation to develop drug dictionary applications in the form of a Drugs e-Dictionary. One of the developed Drugs e-Dictionary uses A-Z index-based approach to discover any drug terms. This approach is less effective and less efficient timewise. Therefore, it is necessary to add a search function that has an autocorrect feature to aid the user. The purpose of this study is to build a search module that has an autocorrect feature on Drugs

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Kadirova, M. S., and A. Sh Yusupova. "The Polysemous Lexemes in the Kazakh Dictionary Written in Cyrillic of the XIX Century." Iasaýı ýnıversıtetіnіń habarshysy 127, no. 1 (2023): 120–31. http://dx.doi.org/10.47526/2023-1/2664-0686.10.

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In modern Turkological science, it is relevant to study the language of Turkic written legacies written by various graphic systems as Runic, Uighur, Arabic, Latin, Cyrillic. In this context, Kazakh legacies written in Cyrillic at the end of the XIX – early XX century have not been sufficiently studied to date. The article examines how the Turkic peoples, including Kazakhs, adopted Cyrillic script around the turn of the nineteenth and twentieth centuries, when the first Cyrillic Kazakh ABC books, self-help books, dictionaries, and other landmarks were published by P.M. Melioransky, N.I. Ilminsk

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Suci Saputri, Wahyu, Riska Dhenabayu, and Filda Febrinita. "APPLICATION OF STRING MATCHING USING BOYER MOORE ALGORITHM IN THE APPLICATION OF DICTIONARY LIVESTOCK TERMS." JOSAR (Journal of Students Academic Research) 3, no. 1 (2018): 11–21. http://dx.doi.org/10.35457/josar.v1i01.614.

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Difficulty in getting a dictionary of the term livestock is an obstacle for the academic community of the Faculty of Animal Husbandry, Balitar Islamic University to find out the meaning of the term livestock. Along with the progress of the times, the need for a dictionary can certainly be met with technological sophistication, one of which is through a dictionary application. This study designed the term dictionary dictionary application by applying the Boyer Moore algorithm matching string. This translation process is carried out in the form of words where each keyword term searched will appe

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Jeong, Hana, Koo-Rack Park, and Young-Suk Chung. "Database Metadata Standardization Processing Model Using Web Dictionary." Journal of Computational and Theoretical Nanoscience 18, no. 5 (2021): 1630–34. http://dx.doi.org/10.1166/jctn.2021.9593.

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Data quality control is an important issue these days. Improve data quality by providing consistent metadata. This study presents algorithms that facilitate standard word dictionary management for consistent metadata management. Algorithms are presented to automate synonyms management of database metadata through web dictionary crawling. It also improves the accuracy of the data by resolving homonym distinction issues that may arise during the web dictionary crawling process. Up to now, database metadata synonyms management has been managed manually by users. So the reliability of synonym data

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Samann, Fars, and Thomas Schanze. "Finding an optimal dictionary of different wavelet types using sparse modeling to denoise ECG signal." Current Directions in Biomedical Engineering 7, no. 2 (2021): 125–28. http://dx.doi.org/10.1515/cdbme-2021-2032.

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Abstract Sparse signal modeling often reconstructs a signal with few atoms from a pre-defined dictionary. Hence the choice of wavelet dictionary that represents the sparsity of the target signal is crucial in sparse modeling approach. The challenge of finding an optimal dictionary of different wavelet types using sparse denoising model (SDM) to denoise ECG signal is investigated in this work. A method of finding an optimal wavelet dictionary from a set of orthogonal wavelet sub-dictionaries by the means of the best correlation with ECG signal, is developed. The highly correlated sub-dictionari

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Chikkarangaiah, Jayanth, Adarsh Uday, David De Hilster, Shobha Gangadhar, and Jyoti Shetty. "Enhancing the English natural language processing dictionary using natural language processing++." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 3 (2024): 3466. http://dx.doi.org/10.11591/ijai.v13.i3.pp3466-3477.

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<p><span lang="EN-US">Every natural language-based project requires the use of an English dictionary. But the current English dictionaries are not updated as the English language is constantly evolving. The English dictionary used for natural language processing (NLP) projects needs to be enhanced by adding more words and phrases. This helps in improving the accuracy of NLP applications such as machine translation, performance of text analysis, recognition, and part of speech (POS) tagging. Several approaches are proposed in this direction, this paper develops and demonstrates enha

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Andrejevic-Stosovic, Miona, and Vanco Litovski. "Hierarchical approach to diagnosis of electronic circuits using ANNs." Journal of Automatic Control 20, no. 1 (2010): 45–52. http://dx.doi.org/10.2298/jac1001045a.

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In this paper, we apply artificial neural networks (ANNs) to the diagnosis of a mixed-mode electronic circuit. In order to tackle the circuit complexity and to reduce the number of test points hierarchical approach to the diagnosis generation was implemented with two levels of decision: the system level and the circuit level. For every level, using the simulation-before-test (SBT) approach, fault dictionary was created first, containing data relating the fault code and the circuit response for a given input signal. Also, hypercomputing was implemented, i.e. we used parallel simulation of large

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Salgado, Ana, Laurent Romary, Rute Costa, et al. "The Morais Dictionary: Following Best Practices in a Retro-digitized Dictionary Project." International Journal of Humanities and Arts Computing 18, no. 1 (2024): 125–47. http://dx.doi.org/10.3366/ijhac.2024.0325.

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This article outlines essential best practices for retro-digitized dictionary projects, using the ongoing MORDigital project (DOI 10.54499/PTDC/LLT-LIN/6841/2020) as a case study. The MORDigital project focuses on digitally transforming the historically significant Portuguese Morais dictionary’s first three editions (1789, 1813, 1823). While the primary objective is to create faithful digital versions of these renowned dictionaries, MORDigital stands out by going beyond the mere adoption of established best practices. Instead, it reflects on the choices made throughout the process, providing i

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Rodriguez-Pinto, Ivan I., and Raymond Lim. "Passive acoustic localization using dictionary learning." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A343. http://dx.doi.org/10.1121/10.0027764.

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Ray-trace simulations are used to demonstrate the use of Dictionary Learning to improve passive localization of a source monitored with a vertical linear acoustic array. The learned dictionary, generated using historical sound velocity profile (SVP) data from a region of interest, is an over complete, sparse representation of the SVP training set. By minimizing an objective function that measures the differences between multipath reception intervals detected at a receiver for propagation through candidate and baseline SVP profiles, we show that an optimal SVP match to the “unknown” baseline ca

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Ma, Xin, Nana Yu, and Weidong Zhou. "Using Dictionary Pair Learning for Seizure Detection." International Journal of Neural Systems 29, no. 04 (2019): 1850005. http://dx.doi.org/10.1142/s0129065718500053.

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Automatic seizure detection is extremely important in the monitoring and diagnosis of epilepsy. The paper presents a novel method based on dictionary pair learning (DPL) for seizure detection in the long-term intracranial electroencephalogram (EEG) recordings. First, for the EEG data, wavelet filtering and differential filtering are applied, and the kernel function is performed to make the signal linearly separable. In DPL, the synthesis dictionary and analysis dictionary are learned jointly from original training samples with alternating minimization method, and sparse coefficients are obtain

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Yutani, Taku, Oak Yono, Tatsu Kuwatani, et al. "Super-Resolution and Feature Extraction for Ocean Bathymetric Maps Using Sparse Coding." Sensors 22, no. 9 (2022): 3198. http://dx.doi.org/10.3390/s22093198.

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The comprehensive production of detailed bathymetric maps is important for disaster prevention, resource exploration, safe navigation, marine salvage, and monitoring of marine organisms. However, owing to observation difficulties, the amount of data on the world’s seabed topography is scarce. Therefore, it is essential to develop methods that effectively use the limited data. In this study, based on dictionary learning and sparse coding, we modified the super-resolution technique and applied it to seafloor topographical maps. Improving on the conventional method, before dictionary learning, we

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Wulansari, Tika Wulansari, and Ria Fakhrurriana. "Influence of Using Online Oxford Dictionary Toward Pronunciation and Vocabulary Mastery." IREELL: Indonesian Review of English Education, Linguistics, and Literature 2, no. 1 (2024): 92–99. http://dx.doi.org/10.30762/ireell.v2i1.3251.

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In order to clearly express the ideas, students need to master pronunciation and have vast vocabulary. Media and strategy are essential matter to achieve well-acquired vocabulary and good pronunciation. Online dictionary such as Oxford Advanced Learners’ Dictionary (later abbreviated as OALD) is one of the media to aid students in improving pronunciation and vocabulary. Students used to utilize the book version of OALD, yet, nowadays they prefer to use the online form through internet networking. Thus, this research aims to determine the influence of using online Oxford Dictionary on students’

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Camargo, Jorge E., Vladimir Vargas-Calderon, Nelson Vargas, and Liliana Calderón-Benavides. "Sentiment polarity classification of tweets using a extended dictionary." Inteligencia Artificial 21, no. 62 (2018): 1. http://dx.doi.org/10.4114/intartif.vol21iss62pp1-12.

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With the purpose of classifying text based on its sentiment polarity (positive or negative), we proposed an extension of a 68,000 tweets corpus through the inclusion of word definitions from a dictionary of the Real Academia Espa\~{n}ola de la Lengua (RAE). A set of 28,000 combinations of 6 Word2Vec and support vector machine parameters were considered in order to evaluate how positively would affect the inclusion of a RAE's dictionary definitions classification performance. We found that such a corpus extension significantly improve the classification accuracy. Therefore, we conclude that the

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Baltoiu, Andra, Andrei Patrascu, and Paul Irofti. "Graph Anomaly Detection Using Dictionary Learning." IFAC-PapersOnLine 53, no. 2 (2020): 3551–58. http://dx.doi.org/10.1016/j.ifacol.2020.12.1731.

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Umesh, KK. "Web Image Retrieval Using Visual Dictionary." International Journal on Web Service Computing 3, no. 3 (2012): 77–84. http://dx.doi.org/10.5121/ijwsc.2012.3307.

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Xiang, Yuanyuan, Shengbao Li, and Chuanming Yin. "Tire Defect Detection Using Adaptive Dictionary." Journal of Physics: Conference Series 1982, no. 1 (2021): 012058. http://dx.doi.org/10.1088/1742-6596/1982/1/012058.

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Beckouche, S., J. L. Starck, and J. Fadili. "Astronomical image denoising using dictionary learning." Astronomy & Astrophysics 556 (August 2013): A132. http://dx.doi.org/10.1051/0004-6361/201220752.

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Fitrian, Riski Muhamad, Insan Taufik, Muhammad Sabir Ramadhan, et al. "Digital Dictionary Using Binary Search Algorithm." Journal of Physics: Conference Series 1255 (August 2019): 012058. http://dx.doi.org/10.1088/1742-6596/1255/1/012058.

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Madarkar, Jitendra, and Poonam Sharma. "Occluded face recognition using NonCoherent dictionary." Journal of Intelligent & Fuzzy Systems 38, no. 5 (2020): 6423–35. http://dx.doi.org/10.3233/jifs-179723.

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Yubin Niu and Bin Wang. "Hyperspectral Target Detection Using Learned Dictionary." IEEE Geoscience and Remote Sensing Letters 12, no. 7 (2015): 1531–35. http://dx.doi.org/10.1109/lgrs.2015.2412142.

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Hancock, E. R., and J. Kittler. "Edge-labeling using dictionary-based relaxation." IEEE Transactions on Pattern Analysis and Machine Intelligence 12, no. 2 (1990): 165–81. http://dx.doi.org/10.1109/34.44403.

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Ekeberg, Örjan. "Robust dictionary lookup using associative networks." International Journal of Man-Machine Studies 28, no. 1 (1988): 29–43. http://dx.doi.org/10.1016/s0020-7373(88)80051-8.

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Ophir, Boaz, Michael Lustig, and Michael Elad. "Multi-Scale Dictionary Learning Using Wavelets." IEEE Journal of Selected Topics in Signal Processing 5, no. 5 (2011): 1014–24. http://dx.doi.org/10.1109/jstsp.2011.2155032.

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Sigg, Christian D., Tomas Dikk, and Joachim M. Buhmann. "Speech Enhancement Using Generative Dictionary Learning." IEEE Transactions on Audio, Speech, and Language Processing 20, no. 6 (2012): 1698–712. http://dx.doi.org/10.1109/tasl.2012.2187194.

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