Relevant bibliographies by topics / Computer Lexikon

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computer Lexikon'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Computer Lexikon"

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Pollard, David. "Lexikon, version 1.2." ReCALL 3, no. 4 (1991): 38–39. http://dx.doi.org/10.1017/s0958344000002585.

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Hearon, Jim. "Lexikon Musikautomaten: Die Welt der selbstspielenden Musikinstrumente." Computer Music Journal 29, no. 1 (2005): 100–101. http://dx.doi.org/10.1162/comj.2005.29.1.100.

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Siegel, Steffen. "Spargel, Pumps und Brooklyn Bridge. Zur Zukunft des vergleichenden Sehens." Zeitschrift für Ideengeschichte 10, no. 2 (2016): 25–40. http://dx.doi.org/10.17104/1863-8937-2016-2-25.

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Zu einer Geschichte «neuer Medien» gehört immer auch eine Geschichte der «nicht mehr ganz so neuen Medien». Diese älteren aber verschwinden nicht einfach hinter den jüngeren, sie stellen vielmehr Fragen ganz eigener Art. Nur zwei Beispiele: Wie soll man umgehen mit all den Text- und Bildmedien, die gerade noch im Zentrum unseres Gebrauchs standen, nun aber einen so dramatischen Kursverfall erleiden? Wer läuft noch ans Regal zu einem alten Lexikon, um nachzuschlagen, was sich vom Schreibtisch aus auch im Internet finden lässt? Und wer macht sich die Mühe, in einer Diathek als Kleinbild-Dia hera
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Strobel, Janina. "Juki – Eine neue Video-Plattform für Kinder geht online." merz | medien + erziehung 57, no. 3 (2013): 3–4. http://dx.doi.org/10.21240/merz/2013.3.3.

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Das Deutsche Kinderhilfswerk, die Freiwillige Selbstkontrolle Multimedia-Diensteanbieter (FSM), die Freiwillige Selbstkontrolle Fernsehen (FSF) und Google Deutschland haben die Kinder-Video-Plattform juki.de gemeinsam entwickelt und am 7. Mai 2013 im Museum für Kommunikation in Berlin vorgestellt. Juki ist eine Plattform für Kinder, auf der sie Videos anschauen, kommentieren und bewerten können. Dabei können sie Videos aus unterschiedlichen Rubriken auswählen, zum Beispiel aus dem Bereich des Sports, aus der Tierwelt, der Schule oder aus dem Bereich allgemeinen Wissens. In der Rubrik Schule be
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Yadav, Madan Lal, and Basav Roychoudhury. "Effectiveness of Domain-Based Lexicons vis-à-vis General Lexicon for Aspect-Level Sentiment Analysis: A Comparative Analysis." Journal of Information & Knowledge Management 18, no. 03 (2019): 1950033. http://dx.doi.org/10.1142/s0219649219500333.

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One can either use machine learning techniques or lexicons to undertake sentiment analysis. Machine learning techniques include text classification algorithms like SVM, naive Bayes, decision tree or logistic regression, whereas lexicon-based sentiment analysis uses either general or domain-based lexicons. In this paper, we investigate the effectiveness of domain lexicons vis-à-vis general lexicon, wherein we have performed aspect-level sentiment analysis on data from three different domains, viz. car, guitar and book. While it is intuitive that domain lexicons will always perform better than g
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Du, Maokang, Xiaoguang Li, and Longyan Luo. "A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon." Complexity 2021 (February 5, 2021): 1–11. http://dx.doi.org/10.1155/2021/6152494.

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Sentiment analysis has been widely used in text mining of social media to discover valuable information from user reviews. Sentiment lexicon is an essential tool for sentiment analysis. Recent research studies indicate that constructing sentiment lexicons for special domains can achieve better results in sentiment analysis. However, it is not easy to construct a sentiment lexicon for a specific domain because most current methods highly depend on general sentiment lexicons and complex linguistic rules. In this paper, the construction of sentiment lexicon is transformed into a training-optimiza
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SGARBAS, KYRIAKOS N., NIKOS D. FAKOTAKIS, and GEORGE K. KOKKINAKIS. "TWO ALGORITHMS FOR INCREMENTAL CONSTRUCTION OF DIRECTED ACYCLIC WORD GRAPHS." International Journal on Artificial Intelligence Tools 04, no. 03 (1995): 369–81. http://dx.doi.org/10.1142/s0218213095000188.

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In this paper we present two algorithms for building lexicons in Directed Acyclic Word-Graphs (DAWGs). The two algorithms, one for deterministic and the other for non-deterministic DAWGs, can be used instead of the traditional subset construction method. Although the proposed algorithms do not produce the optimal DAWG (i.e., the one with the minimum number of states), they are simple, fast and able to build the DAWG incrementally, as new words are added to the lexicon. Thus, building large lexicons in a DAWG structure becomes an easy task, even for a modest computer.
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Sazzed, Salim. "BengSentiLex and BengSwearLex: creating lexicons for sentiment analysis and profanity detection in low-resource Bengali language." PeerJ Computer Science 7 (November 16, 2021): e681. http://dx.doi.org/10.7717/peerj-cs.681.

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Bengali is a low-resource language that lacks tools and resources for various natural language processing (NLP) tasks, such as sentiment analysis or profanity identification. In Bengali, only the translated versions of English sentiment lexicons are available. Moreover, no dictionary exists for detecting profanity in Bengali social media text. This study introduces a Bengali sentiment lexicon, BengSentiLex, and a Bengali swear lexicon, BengSwearLex. For creating BengSentiLex, a cross-lingual methodology is proposed that utilizes a machine translation system, a review corpus, two English sentim
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Zhao, Futao, Zhong Yao, Jing Luan, and Hao Liu. "Inducing stock market lexicons from disparate Chinese texts." Industrial Management & Data Systems 120, no. 3 (2019): 508–25. http://dx.doi.org/10.1108/imds-04-2019-0254.

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Purpose The purpose of this paper is to propose a methodology to construct a stock market sentiment lexicon by incorporating domain-specific knowledge extracted from diverse Chinese media outlets. Design/methodology/approach This paper presents a novel method to automatically generate financial lexicons using a unique data set that comprises news articles, analyst reports and social media. Specifically, a novel method based on keyword extraction is used to build a high-quality seed lexicon and an ensemble mechanism is developed to integrate the knowledge derived from distinct language sources.
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Pozharytska, Olena, Iryna Morozova, Kateryna Miliutina, Ganna Gusieva, and Olena Lenska. "The Computer Game as an Alternative Artistic Discourse." Theory and Practice in Language Studies 13, no. 2 (2023): 311–17. http://dx.doi.org/10.17507/tpls.1302.05.

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The article aimed to determine the specificity of computer game discourse, its features, key linguistic characteristics, and communicative features. The methodology included the analysis of computer game discourse materials, in particular, dictionary articles, texts of electronic messages, and computer conferences, as well as recordings of fragments of the spoken language of users and users of computer games. The specific feature of computer discourse is the selective combination of features, typical for other types and forms of communication. Computer discourse has some communicative features
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Dissertations / Theses on the topic "Computer Lexikon"

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Gernandt, Niclas, and Jaser Farhod. "JÄMFÖRELSE AV ATTITYDANALYS ALGORITMER FÖR SPELOMDÖMEN." Thesis, KTH, Hälsoinformatik och logistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-248401.

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Idag finns det stora mängder användar-skapat data i form av texter från spelomdömen till åsikter i mikro-bloggar som Twitter. Att analysera detta data kan vara utav värde för både företag och akademisk forskning men är väldigt omfattande. Med hjälp av attitydanalysen kan detta utföras automatiskt och spara resurser, men vilka algoritmer presterar bäst? Med hjälp av en förstudie och ett par kvantitativa tester kunde dem mest populära tillvägagångsätten inom attitydanalysen genom att analysera spelomdömen från plattformen Steam. I testning har det visat sig att maskininlärningsalgoritmer både pr
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Ramoo, Dinesh Kumar. "Syllable structure in the mental lexicon : neuropsychological and computational evidence." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/4846/.

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This thesis investigated the fundamental representations within the mental-lexicon and whether such representations are fixed or differ according to the characteristics of various languages. It looked at whether syllable structure is represented at distinct levels of linguistic representation at phonological and phonetic levels, with phonology governed by the demands of a combinatorial system (the need to create many distinct words from a small number of symbols) and phonetics governed by articulatory complexity (the need to keep motor programming as simple as possible). Empirical evidence as
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Thompson, Cynthia Ann. "Semantic lexicon acquisition for learning natural language interfaces /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Chapman, Robbin Nicole 1958. "A lexicon for translation of American Sign Language to English." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/80082.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 1999.<br>Includes bibliographical references (leaves 130-132).<br>by Robbin Nicole Chapman.<br>S.M.
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CUBA, GYLLENSTEN AMARU. "Automatic Lexicon Extraction on RandomIndexing Word Spaces using Small Seed Lexica." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155894.

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Automatic bilingual lexicon extraction has many applications in Natural Language Processing, but often times requires highly structured,parallel, data or extensive bilingual seed lexicas to get reasonably good performance. Random Indexing models with a small bilingual seed lexicon could be used to perform (semi-)automatic lexicon extraction using only separate monolingual data. This thesis explores, explains and evaluatessuch a method of (semi-)automatic lexicon extraction on Random Indexing models using a small lexicon. The main idea is to construct alinear transformation that aligns the vect
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McCarthy, Arya D. "Gridlock in Networks| The Leximin Method for Hierarchical Community Detection." Thesis, Southern Methodist University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10284688.

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<p> Community detection (CD) is an important task in network science. Identifying the community structure and hierarchy of communities reveals latent properties of the network. This task has real-world relevance in social network analysis, taxonomy, bioinformatics, and graph mining in general. Nevertheless, there is no common definition of a community and no common, efficient method of identifying communities. As is common, we formulate CD as optimization of modularity. Modularity quantifies the separation of a network into distinct, highly interconnected groups. Maximizing modularity is NP-ha
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Sadia, Ahmad, and Osama Zarraa. "Are APIs with Poor Design Subject to Poor Lexicon? : A Google Perspective." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96846.

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REST (Representational state transfer) is an architectural style for distributed hypermedia systems. The simplicity of REST allows straightforward communication between HTTP clients and servers using URIs (Uniform Resource Identifiers) and HTTP methods, e.g., GET, POST, PUT, and DELETE. To do the communication effectively between clients and servers, there is a set of best design practices (design and linguistic patterns) shall be followed, and a set of poor design practices (design and linguistic antipatterns) shall be avoided. This study aims to determine whether there is a relationship betw
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Kozlowski, Raymond. "Uniform multilingual sentence generation using flexible lexico-grammatical resources." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.93 Mb., 213 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3200536.

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Parmar, Aarati D. (Aarati Dinesh). "A semic-automatic system for the syllabification and stress assignment of large lexicons." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43485.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (p. 115-116).<br>by Aarati D. Parmar.<br>M.Eng.
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Sommar, Fredrik, and Milosz Wielondek. "Combining Lexicon- and Learning-based Approaches for Improved Performance and Convenience in Sentiment Classification." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166430.

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Sentiment classification is the process of categorizing data into categories based on its polarity with a wide array of applications across several industries. This report examines a combination of two prominent approaches to sentiment classification using a lexicon of weighted words and machine learning respectively. These approaches are compared with the combined hybrid approach in order to give an account of their relative strengths and weaknesses. When run on a set of IMDb movie reviews the results indicate that the hybrid model performs better than the lexicon-based approach, in turn bein
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Books on the topic "Computer Lexikon"

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Otto, Iris Anna. Falken Computer Lexikon. Falken, 1988.

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Winkler, Peter. Computer Lexikon 2010. Markt & Technik, 2009.

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Dähnhard, Peter. Lexikon der Computer-Fachbegriffe. Bechtermünz, 1991.

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Woerrlein, Hartmut. Das neue Computer-Lexikon. Ullstein, 2004.

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1954-, Horváth László, Pirkó József, and Ambruszter Géza, eds. Számítástechnikai lexikon. Kossuth, 1996.

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Brauner, Detlef Jürgen. Multimedia-Lexikon. Oldenbourg, 1998.

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Darcy, Laura. Webster's new world Lexikon der Computer-Begriffe. Bastei Lübbe, 1985.

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Schwaiger, Leo. CAD-Begriffe: Ein Lexikon. Springer, 1987.

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Lukowicz, Paul. Amiga Datenstrukturen-Lexikon: Das Nachschlagewerk für alle Programmierer. Markt & Technik, 1990.

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Schulze, Hans Herbert. Computer Enzyklopädie: Lexikon und Fachwörterbuch für Datenverarbeitung und Telekommunikation. Rowohlt, 1990.

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Book chapters on the topic "Computer Lexikon"

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Tanner, Jakob. "Computer Ist der Algorithmus ein trojanisches Pferd?" In Das Lexikon der offenen Fragen. J.B. Metzler, 2015. http://dx.doi.org/10.1007/978-3-476-05468-5_17.

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Silva, Gilberto, and Claudia Oliveira. "A Lexicon-Based Stemming Procedure." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45011-4_23.

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Sharma, Shikhar, Piyush Kumar, and Krishan Kumar. "LEXER: LEXicon Based Emotion AnalyzeR." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69900-4_47.

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Snoek, Cees, Marcel Worring, Dennis Koelma, and Arnold Smeulders. "Learned Lexicon-Driven Interactive Video Retrieval." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11788034_2.

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Zutphen, Hetty Voogt-van. "Towards a Lexicon of Functional Grammar." In Functional Grammar and the Computer, edited by Simon C. Dik and John Connolly. De Gruyter, 1989. http://dx.doi.org/10.1515/9783110871685-010.

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Bui, Khanh P. "HyperLexicon, a hypermedia-based lexicon for vocabulary acquisition." In Computer Assisted Learning. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51142-3_48.

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Alemneh, Girma Neshir, Andreas Rauber, and Solomon Atnafu. "Dictionary Based Amharic Sentiment Lexicon Generation." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26630-1_27.

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Razova, Elena, Sergey Vychegzhanin, and Evgeny Kotelnikov. "Does BERT Look at Sentiment Lexicon?" In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15168-2_6.

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Wegner, Immo. "FRAME-EXTRACTION BY COMPUTER IN LEXICOGRAPHIC RESEARCH." In Meaning and the lexicon, edited by G. A. J. Hoppenbrouwers, P. A. M. Seuren, and A. J. M. M. Weijters. De Gruyter, 1985. http://dx.doi.org/10.1515/9783111647425-051.

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Grobe, Susan J. "Nursing Intervention Lexicon and Taxonomy Preliminary Categorization." In Nursing and Computers. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-2182-1_6.

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Conference papers on the topic "Computer Lexikon"

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Wang, Shuhai, Linfu Sun, and Fusen Cai. "Chinese Named Entity Recognition Based on Lexicon Information Enhancement and Adaptive Adversarial Training." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941950.

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Kumar, Vinod, Priyanka S. Chauhan, Jai Advitheeya Lella, Midhilesh Momidi, Pranjal Gupta, and Kamal Upreti. "Advanced Sentiment Analysis: From Lexicon-Enhanced BERT to Dimensionality Reduction Using NLP." In 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC). IEEE, 2024. https://doi.org/10.1109/etncc63262.2024.10767483.

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Meng, Fanqi, Jiehui Gao, and Songbin Bao. "A Novel Sentiment Lexicon for Evaluating the Priority of Electrical Service Work Order." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033352.

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Elmadya, Dharmawan, and Tanty Oktavia. "Comprehensive Sentiment Analysis of ChatGPT App Reviews Using Lexicon-Based Methods, Deep Learning, and Machine Learning." In 2025 International Conference on Computer Sciences, Engineering, and Technology Innovation (ICoCSETI). IEEE, 2025. https://doi.org/10.1109/icocseti63724.2025.11019303.

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Abdullakhitov, Rustam, Nurkhazhi Amirkhazhiev, and Khavashi Abdurazakova. "Computer Lexicon Development in Chechen Language." In I INTERNATIONAL CONFERENCE "ACTUAL ISSUES OF LINGUISTICS, LINGUODIDACTICS AND INTERCULTURAL COMMUNICATION". SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011600800003577.

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Zock, Michael. "Wordfinding Problems and How to Overcome them Ultimately With the Help of a Computer." In Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex). Association for Computational Linguistics and Dublin City University, 2014. http://dx.doi.org/10.3115/v1/w14-4726.

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Nicolas, Lionel, Benoît Sagot, Miguel A. Molinero, Jacques Farré, and Éric de La Clergerie. "Computer aided correction and extension of a syntactic wide-coverage lexicon." In the 22nd International Conference. Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1599081.1599161.

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Athitsos, Vassilis, Carol Neidle, Stan Sclaroff, et al. "The American Sign Language Lexicon Video Dataset." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563181.

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Mor, Noam, and Lior Wolf. "Confidence Prediction for Lexicon-Free OCR." In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018. http://dx.doi.org/10.1109/wacv.2018.00030.

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Ben Ismail, Samia, Sirine Boukedi, and Kais Haddar. "LKB Generation of HPSG Extensional Lexicon." In 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA). IEEE, 2017. http://dx.doi.org/10.1109/aiccsa.2017.107.

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Reports on the topic "Computer Lexikon"

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Бережна, Маргарита Василівна. Psycholinguistic Image of Joy (in the Computer-Animated Film Inside Out). Psycholinguistics in a Modern World, 2021. http://dx.doi.org/10.31812/123456789/5827.

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The paper is focused on the correlation between the psychological archetype of a film character and the linguistic elements composing their speech. The Nurturer archetype is represented in the film Inside Out by the personalized emotion Joy. Joy is depicted as an antropomorphous female character, whose purpose is to keep her host, a young girl Riley, happy. As the Nurturer, Joy is completely focused on Riley’s happiness, which is expressed by lexico-semantic group ‘happy’, positive evaluative tokens, exclamatory sentences, promissive speech acts, and repetitions. She needs the feeling of conne
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