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Journal articles on the topic 'Language Technology (Computational Linguistics)'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Argamon, Shlomo Engelson. "Register in computational language research." Register Studies 1, no. 1 (2019): 100–135. http://dx.doi.org/10.1075/rs.18015.arg.

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Abstract Shlomo Argamon is Professor of Computer Science and Director of the Master of Data Science Program at the Illinois Institute of Technology (USA). In this article, he reflects on the current and potential relationship between register and the field of computational linguistics. He applies his expertise in computational linguistics and machine learning to a variety of problems in natural language processing. These include stylistic variation, forensic linguistics, authorship attribution, and biomedical informatics. He is particularly interested in the linguistic structures used by speak

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Musthofa, Musthofa. "COMPUTATIONAL LINGUISTICS (Model Baru Kajian Linguistik dalam Perspektif Komputer)." Adabiyyāt: Jurnal Bahasa dan Sastra 9, no. 2 (2010): 247. http://dx.doi.org/10.14421/ajbs.2010.09203.

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This paper describes a new discipline in applied linguistics studies, computational linguistics. It’s a new model of applied linguistics which is influenced by computer technology. Computational linguistics is a discipline straddling applied linguistics and computer science that is concerned with the computer processing of natural languages on all levels of linguistic description. Traditionally, computational linguistics was usually performed by computer scientists who had specialized in the application of computers to the processing of a natural language. Computational linguists often work as

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Antopolsky, Alexander. "Language resources and technology in Russia: state and prospects. (Review)." Social novelties and Social sciences, no. 2 (2021): 114–31. http://dx.doi.org/10.31249/snsn/2021.02.08.

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The author determines the concept of linguistic information resources, gives an overview of their classifications. Describes the most significant Russian catalogs of linguistic information resources and the country's leading organizations in the field of computational linguistics. Discusses the priority tasks of creating a Russian infrastructure for linguistic information resources.

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Jensen, Kim Ebensgaard. "Linguistics in the digital humanities: (computational) corpus linguistics." MedieKultur: Journal of media and communication research 30, no. 57 (2014): 20. http://dx.doi.org/10.7146/mediekultur.v30i57.15968.

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<p class="p1">Corpus linguistics has been closely intertwined with digital technology since the introduction of university computer mainframes in the 1960s. Making use of both digitized data in the form of the language corpus and computational methods of analysis involving concordancers and statistics software, corpus linguistics arguably has a place in the digital humanities. Still, it remains obscure and fi gures only sporadically in the literature on the digital humanities. Th is article provides an overview of the main principles of corpus linguistics and the role of computer technol

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Chomsky, Noam. "Three Factors in Language Design." Linguistic Inquiry 36, no. 1 (2005): 1–22. http://dx.doi.org/10.1162/0024389052993655.

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The biolinguistic perspective regards the language faculty as an “organ of the body,” along with other cognitive systems. Adopting it, we expect to find three factors that interact to determine (I-) languages attained: genetic endowment (the topic of Universal Grammar), experience, and principles that are language- or even organism-independent. Research has naturally focused on I-languages and UG, the problems of descriptive and explanatory adequacy. The Principles-and-Parameters approach opened the possibility for serious investigation of the third factor, and the attempt to account for prope

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KOL, SHELI, BRACHA NIR, and SHULY WINTNER. "Computational evaluation of the Traceback Method." Journal of Child Language 41, no. 1 (2013): 176–99. http://dx.doi.org/10.1017/s0305000912000694.

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ABSTRACTSeveral models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation, using technology that was developed for Information Retrieval and Computational Linguistics. In this article we advocate the use of such technology for the evaluation of formal models of language acquisition. We focus on the Traceback Method, prop

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Antopolsky, A. B. "International Activities in the Field of Language Technologies and Resources." Information and Innovations 16, no. 2 (2021): 5–22. http://dx.doi.org/10.31432/1994-2443-2021-16-2-5-22.

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Describes the international organizations active in the field of language technologies and resources, as well as the projects they are implementing. The following areas are highlighted: computational linguistics in general, support for endangered languages, terminology and translation activities, standardization. Highlighted organizations and projects working in the technology of the Semantic Web and related open data. Organizations and projects in the field of language technologies and resources in Europe are considered separately.

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Liberman, Mark, and Charles Wayne. "Human Language Technology." AI Magazine 41, no. 2 (2020): 22–35. http://dx.doi.org/10.1609/aimag.v41i2.5297.

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Human language technology encompasses a wide array of speech and text processing capabilities. The Defense Advanced Research Projects Agency’s pioneering research on automatic transcription, translation, and content analysis were major artificial intelligence success stories that changed science fiction into social fact. During a 40-year period, 10 seminal DARPA programs produced breakthrough capabilities that were further improved and widely deployed in popular consumer products, as well as in many commercial, industrial, and governmental applications. The Defense Advanced Research Projects A

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Chinkina, Maria, Simón Ruiz, and Detmar Meurers. "Crowdsourcing evaluation of the quality of automatically generated questions for supporting computer-assisted language teaching." ReCALL 32, no. 2 (2019): 145–61. http://dx.doi.org/10.1017/s0958344019000193.

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AbstractHow can state-of-the-art computational linguistic technology reduce the workload and increase the efficiency of language teachers? To address this question, we combine insights from research in second language acquisition and computational linguistics to automatically generate text-based questions to a given text. The questions are designed to draw the learner’s attention to target linguistic forms – phrasal verbs, in this particular case – by requiring them to use the forms or their paraphrases in the answer. Such questions help learners create form-meaning connections and are well su

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Chapelle, Carol A. "Call–English as a Second Language." Annual Review of Applied Linguistics 16 (March 1996): 138–57. http://dx.doi.org/10.1017/s0267190500001483.

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CALL for English as a second language1 is an interdisciplinary area of inquiry which has been influenced primarily by educational technology (Reiser, 1987) but also by fields such as computational linguistics2 and recently by applied linguistics as well. These related fields contribute diverse epistemologies which shape CALL research questions and methods. The diversity in CALL research can also be explained in party be the current variety of approaches to CALL development and use. Through the 1970s and early 1980s, pedagogical objectives in CALL were focused primarily, although not exclusivel

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Kehler, Andrew, John Bear, and Douglas Appelt. "The Need for Accurate Alignment in Natural Language System Evaluation." Computational Linguistics 27, no. 2 (2001): 231–48. http://dx.doi.org/10.1162/089120101750300517.

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As evaluations of computational linguistics technology progress toward higher-level interpretation tasks, the problem of determining alignments between system responses and answer key entries may become less straightforward. We present an extensive analysis of the alignment procedure used in the MUC-6 evaluation of information extraction technology, which reveals effects that interfere with the stated goals of the evaluation. These effects are shown to be pervasive enough that they have the potential to adversely impact the technology development process. These results argue strongly for the u

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Alghamdi, Ayman, and Eric Atwell. "Constructing a corpus-informed list of Arabic formulaic sequences (ArFSs) for language pedagogy and technology." International Journal of Corpus Linguistics 24, no. 2 (2019): 202–28. http://dx.doi.org/10.1075/ijcl.16088.alg.

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Abstract This study aims to construct a corpus-informed list of Arabic Formulaic Sequences (ArFSs) for use in language pedagogy (LP) and Natural Language Processing (NLP) applications. A hybrid mixed methods model was adopted for extracting ArFSs from a corpus, that combined automatic and manual extracting methods, based on well-established quantitative and qualitative criteria that are relevant from the perspective of LP and NLP. The pedagogical implications of this list are examined to facilitate the inclusion of ArFSs in the process of learning and teaching Arabic, particularly for non-nati

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Neuman, Yair. "Technology is becoming a Hypercortext." Sign Systems Studies 41, no. 1 (2013): 154–55. http://dx.doi.org/10.12697/sss.2013.41.1.11.

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Chiarcos, Christian, Ilya Khait, Émilie Pagé-Perron, et al. "Annotating a Low-Resource Language with LLOD Technology: Sumerian Morphology and Syntax." Information 9, no. 11 (2018): 290. http://dx.doi.org/10.3390/info9110290.

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This paper describes work on the morphological and syntactic annotation of Sumerian cuneiform as a model for low resource languages in general. Cuneiform texts are invaluable sources for the study of history, languages, economy, and cultures of Ancient Mesopotamia and its surrounding regions. Assyriology, the discipline dedicated to their study, has vast research potential, but lacks the modern means for computational processing and analysis. Our project, Machine Translation and Automated Analysis of Cuneiform Languages, aims to fill this gap by bringing together corpus data, lexical data, lin

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Perdana Prasetya, Eska. "ENGLISH CORPORA RESEARCH: THE MEANING OF CREATIVE AND WRITING CONTEXTS IN IWEB APLICATION." ENGLISH JOURNAL 15, no. 1 (2021): 18. http://dx.doi.org/10.32832/english.v15i1.4559.

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Corpus linguistics learns about language with the help of modern computer technology in language data collection. language corpora are one of the important aspects related to langaunge corpora is a matter of copyright, especially if the findings from the corpus will be disseminated through handouts or published in any form.The research explored the field of computational linguistics to find the meaning of Creative Writing Context in online learning during pandemic. Corpus-based research is also considered as a broad approach to qualitative research or as a method for gathering qualitative data

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DALE, ROBERT. "Industry Watch." Natural Language Engineering 9, no. 4 (2003): 421–24. http://dx.doi.org/10.1017/s1351324903003280.

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A principal aim of this journal is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. This new column aims to help with that bridge-building, by providing a window on to what is happening with speech and language technologies in the industrial and commercial worlds, and a discussion forum for topics of interest in the technology transfer space.

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Santos, Vinícius Vargas Vieira dos. "COMPUTATIONAL AFFORDANCES, CONTEXT COLLAPSES AND OTHER CHALLENGES TO LINGUISTIC STUDIES." Trabalhos em Linguística Aplicada 59, no. 1 (2020): 583–600. http://dx.doi.org/10.1590/01031813686251620200410.

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ABSTRACT With the increasing incorporation of digital media in 21st century societies, a paradigmatic phenomenon is occurring on the language issue: communicative practices have started being widely mediated by technology. Besides incorporating earlier technologies, such as radio and television, computers have enabled users, who were mere passive recipients, to become information emitters as well. Starting from the principle pointed out by Marshall McLuhan (1964) that the medium controls the scales and actions configured in language, this paper seeks to understand the scalar levels of new tech

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Fiorini, Rodolfo A. "The Emerging Computational Biolinguistic Framework." International Journal of Cognitive Informatics and Natural Intelligence 12, no. 4 (2018): 1–19. http://dx.doi.org/10.4018/ijcini.2018100101.

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The convergence of software and intelligent sciences forms the transdisciplinary field of computational intelligence. Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom-up (BU). The human brain is at least a factor of 1 billion more efficient than our present digital technology, and a factor of 10 million more efficient than the best digital technology that we can imagine today. The unavoidable conclusion is that current neuromorphic engineering has something fundam

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Alruily, Meshrif, Aladdin Ayesh, and Hussein Zedan. "Crime profiling for the Arabic language using computational linguistic techniques." Information Processing & Management 50, no. 2 (2014): 315–41. http://dx.doi.org/10.1016/j.ipm.2013.09.001.

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Song, Fei, Jun Sun, and Tao Wang. "Overview of Natural Language Processing Technologies and Rationales in Application." Theory and Practice in Language Studies 10, no. 1 (2019): 49. http://dx.doi.org/10.17507/tpls.1001.07.

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In the past decade, rapid advancement of new technologies including data technology, virtual reality (VR) and artificial intelligence (AI), which are all related to language disciplines, brings a new era of data-based language studies, relying on AI to enhance the language ability and VI to create fresh new experience. Practice of language processing in language disciplines by those technologies in turn promotes the emergence of some other revolutionary technologies, for example, the increasingly common data thinking and computational thinking in language research. In this context, it is of gr

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Sasaki, H., S. Yamamoto, A. Agchbayar, and Ν. Nkhbayasgalan. "Extracting Problem Linkages to Improve Knowledge Exchange between Science and Technology Domains using an Attention-based Language Model." Engineering, Technology & Applied Science Research 10, no. 4 (2020): 5903–13. http://dx.doi.org/10.48084/etasr.3598.

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Science and technology activities can be considered problem-solving activities, and scientific papers and patent publications can be viewed as providing explicit knowledge gained from the problem-solving of academia and industry respectively. However, even in the same field, the approach to the same problem is not consistent between a paper and the patented technology. The creation of information silos in science and technology generates inefficiency in human intellectual production. Therefore, this study examines whether insights from technical problems can be shared with academics to solve s

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Fan, Min, and Shanwen Xu. "Research on Discourse Coherence based on the Analysis Model of Event Chain from the Perspective of Computational Linguistics." E3S Web of Conferences 189 (2020): 03025. http://dx.doi.org/10.1051/e3sconf/202018903025.

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With the rapid development of network technology, natural language processing has also entered a boom period. Probability and data-driven methods have been widely used in natural language processing. The need for people to extract and retrieve information from the Internet is also increasing, and more and more researchers are trying to use computers to process content related to discourse coherence. Based on the event chain of the text semantic structure representation, this paper proposes a text semantic structure representation model, on the basis of which, text coherent resources can be use

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Crawford, Lynn, Julien Pollack, and David England. "How Standard Are Standards: An Examination of Language Emphasis in Project Management Standards." Project Management Journal 38, no. 3 (2007): 6–21. http://dx.doi.org/10.1002/pmj.20002.

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In light of current work toward the development of global standards for project management, this paper analyzes differences between a selection of various countries’ existing project management standards. The analysis is conducted using computational corpus linguistics techniques, resulting in the identification of similarities and differences between the standards of five countries.

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Катинская, А., Ж. Хоу, and Р. Янгарбер. "LANGUAGE LEARNING BASED PRACTICING WITH STORIES: HOW TECHNOLOGY HELPS TO TEACHER." Russkii iazyk za rubezhom, no. 6(283) (January 12, 2021): 50–57. http://dx.doi.org/10.37632/pi.2020.283.6.007.

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Одна из перспективных областей компьютерной лингвистики – разработка образовательных приложений. В данной статье на примере системы «Ревита» показано, как инструменты для автоматического анализа текста могут быть использованы при создании сервиса для изучения языка. «Ревита» разрабатывается в Хельсинкском университете и представляет собой инструмент для автоматического создания грамматических упражнений на основе текстов, которые преподаватель или сам пользователь загружает в систему. «Ревита» предназначена для студентов среднего или продвинутого уровня; при этом упражнения подбираются для сту

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Purgina, Marina, Maxim Mozgovoy, and John Blake. "WordBricks: Mobile Technology and Visual Grammar Formalism for Gamification of Natural Language Grammar Acquisition." Journal of Educational Computing Research 58, no. 1 (2019): 126–59. http://dx.doi.org/10.1177/0735633119833010.

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Gamification of language learning is a clear trend of recent years. Widespread use of smartphones and the rise of mobile gaming as a popular leisure activity contribute to the popularity of gamification, as application developers can rely on an unprecedented reach of their products and expect acceptance of game-like elements by the users. In terms of content, however, most mobile apps implement traditional language learning activities, such as reading, listening, translating, and solving quizzes. This article discusses gamification of learning natural language grammar with a mobile app WordBri

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Cohen-Sygal, Yael, and Shuly Wintner. "Finite-State Registered Automata for Non-Concatenative Morphology." Computational Linguistics 32, no. 1 (2006): 49–82. http://dx.doi.org/10.1162/coli.2006.32.1.49.

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We introduce finite-state registered automata (FSRAs), a new computational device within the framework of finite-state technology, specifically tailored for implementing non-concatenative morphological processes. This model extends and augments existing finite-state techniques, which are presently not optimized for describing this kind of phenomena. We first define the model and discuss its mathematical and computational properties. Then, we provide an extended regular language whose expressions denote FSRAs. Finally, we exemplify the utility of the model by providing several examples of compl

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Soria, Jesús. "Expert CALL: data-based versus knowledge-based interaction and feedback." ReCALL 9, no. 2 (1997): 43–50. http://dx.doi.org/10.1017/s0958344000004778.

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This article attempts to define Expert CALL, siting in between traditional data-based CALL and intelligent CALL (ICALL). It relies on the concapts of expert knowledge and expert interaction and feedback. These are explored in the context of inflexional morphology, using as reference the auther's own ‘The Spanish Verb’ program. An electic computational algorithm, rather than a fully-fledged linguistic for malism suffices to deliver a stable and reliable lingustic knowledge basa on which to base Expert CALL applications. A similar ‘intermediate technology’ approach to syntax may bypass current d

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Coles, Katharine. "The Experimental Turn." PMLA/Publications of the Modern Language Association of America 135, no. 1 (2020): 180–87. http://dx.doi.org/10.1632/pmla.2020.135.1.180.

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From 2012 to 2017, I Collaborated with the Visualization Scientists Miriah Meyer and Nina Mccurdy and the Poet Julie Gonnering Lein to develop Poemage, a computational tool that identifies and visualizes complex sonic relationships in poems. The scientists sought problems that would allow them to develop breakthrough computational strategies, frameworks, or paradigms. Lein and I, the poets, realizing that much digital humanities research at the time was driven by technology and the desire to extract data from texts, remained committed to engaging the qualitative, aesthetic, close-reading exper

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Dunđer, Ivan. "Machine Translation System for the Industry Domain and Croatian Language." Journal of information and organizational sciences 44, no. 1 (2020): 33–50. http://dx.doi.org/10.31341/jios.44.1.2.

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Machine translation is increasingly becoming a hot research topic in information and communication sciences, computer science and computational linguistics, due to the fact that it enables communication and transferring of meaning across different languages. As the Croatian language can be considered low-resourced in terms of available services and technology, development of new domain-specific machine translation systems is important, especially due to raised interest and needs of industry, academia and everyday users. Machine translation is not perfect, but it is crucial to assure acceptable

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Eumeridou, Eugenia. "The contribution of verbal semantic content towards term recognition." International Journal of Corpus Linguistics 7, no. 1 (2002): 87–106. http://dx.doi.org/10.1075/ijcl.7.1.05eum.

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Automatic term recognition is a natural language processing technology which is gaining increasing prominence in our information-overloaded society. Apart from its use for quick and efficient updating of terminologies and thesauri, it has also been used for machine translation, information retrieval, document indexing and classification as well as content representation. Until very recently, term identification techniques rested solely on the mapping of term linguistic properties onto computational procedures. However, actual terminological practice has shown that context is also important for

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Griffith, Niall J. L. "Is cognition plus technology an unbounded system?" Cognitive Technologies and the Pragmatics of Cognition 13, no. 3 (2005): 583–613. http://dx.doi.org/10.1075/pc.13.3.10gri.

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The relationship between cognition and culture is discussed in terms of technology and representation. The computational metaphor is discussed in relation to its providing an account of cognitive and technical development: the role of representation and self-modification through environmental manipulation and the development of open learning from stigmery. A rationalisation for the transformational effects of information and representation is sought in the physical and biological theories of Autokatakinetics and Autopoiesis. The conclusion drawn is that culture, rather than being an intrinsic

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Krzykawski, Michał. "Towards Idiodiversity." Philosophy Today 65, no. 2 (2021): 265–87. http://dx.doi.org/10.5840/philtoday2021414398.

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This article discusses translation as a technique of doing philosophy and introduces the concept of idiodiversity as an alternative to the current model of automated translation machines. The dominant functionalist approach to technology has made these machines the agents of linguistic homogenisation, which constitutes a threat for the diversity of idiomatic open systems this article advocates for. However, as this article argues, the challenge is not merely to accuse automated translation technologies of impoverishing the knowledge of how to translate but, rather, to determine whether these t

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Hudhayri, Khalid. "Linguistic Harassment Against Arab LGBTs on Cyberspace." International Journal of English Linguistics 11, no. 4 (2021): 58. http://dx.doi.org/10.5539/ijel.v11n4p58.

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Opponents of lesbian, gay, bisexual, and transgenders (LGBTs) have always been creative in expressing harassment, in which they emphasize their resentment of LGBTs&rsquo; &ldquo;illegal&rdquo; rights. In this modern era of technology, harassment is transmitted over digital applications. In light of new paradigms of defining cyberbullying, this research aims to describe the significant body of violent language, through which Arab LGBTs are attacked over Twitter. This is specifically important in building a corpus source for computational linguists working on a premature tracing of e

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Mangrum, Benjamin. "Aggregation, Public Criticism, and the History of Reading Big Data." Publications of the Modern Language Association of America 133, no. 5 (2018): 1207–24. http://dx.doi.org/10.1632/pmla.2018.133.5.1207.

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This essay traces the history of ideas behind the critical methods of distant reading and macroanalysis, modes of criticism enabled by the rise of the science, media, and technology of aggregation. I situate these methods in the intellectual shifts marked by the advent of modern polling practices, computational census technologies, post-1945 marketing strategies, and other methods of analyzing an aggregated public. Drawing on work by Sarah E. Igo, Mary Poovey, Bill Kovarik, and others, I demonstrate that the ideas legitimated through these shifts in technology and public sentiment are fundamen

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Attrey, Rohin, and Alexander Levit. "The promise of natural language processing in healthcare." University of Western Ontario Medical Journal 87, no. 2 (2019): 21–23. http://dx.doi.org/10.5206/uwomj.v87i2.1152.

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The healthcare industry generates data at a rapid rate, with no signs of slowing down. A large portion of this information takes the form of unstructured narrative text, making it difficult for computer systems to analyze the data in a usable format. However, automated analysis of this information could be incredibly useful in daily practice. This could be accomplished with natural language processing, an area of artificial intelligence and computational linguistics that is used to analyze and process large sets of unstructured data, namely spoken or written communication. Natural language pro

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Pedersen, Bolette Sandford, and Patrizia Paggio. "The Danish SIMPLE lexicon and its application in content-based querying." Nordic Journal of Linguistics 27, no. 1 (2004): 97–126. http://dx.doi.org/10.1017/s0332586504001179.

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This paper deals with the SIMPLE-DK lexicon, a computational lexicon for Danish developed at the Centre for Language Technology in Copenhagen within the European Union project SIMPLE. The general SIMPLE model, on which the Danish lexicon is based, is presented, and the way in which several specific aspects of Danish, such as nominal compounds and time expressions, are accommodated in this model is then described. Phrasal verbs – in particular phrasal motion verbs – are shown to be a challenging phenomenon since they are difficult to place in the SIMPLE event ontology, and pose problems regardi

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Divitini, Monica, and Carla Simone. "A computational model of communication for reducing linguistic opacity based on the language-action perspective." Information and Organization 11, no. 3 (2001): 157–86. http://dx.doi.org/10.1016/s1471-7727(01)00003-3.

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Vadakalur Elumalai, Kesavan, Niladri Sekhar Das, Mufleh Salem M. Alqahtani, and Anas Maktabi. "Looking into the Operational Modalities Adopted in Some of the POS Tagging Tools in Identification of Contextual Part-of-Speech of Words in Texts." International Journal of Applied Linguistics and English Literature 8, no. 6 (2019): 92. http://dx.doi.org/10.7575/aiac.ijalel.v.8n.6p.92.

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Part-of-speech (POS) tagging is an indispensable method of text processing. The main aim is to assign part-of-speech to words after considering their actual contextual syntactic-cum-semantic roles in a piece of text where they occur (Siemund & Claridge 1997). This is a useful strategy in language processing, language technology, machine learning, machine translation, and computational linguistics as it generates a kind of output that enables a system to work with natural language texts with greater accuracy and success. Part-of-speech tagging is also known as ‘grammatical annotation’ and ‘

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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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Hayles, N. Katherine. "Human and Machine Cultures of Reading: A Cognitive-Assemblage Approach." Publications of the Modern Language Association of America 133, no. 5 (2018): 1225–42. http://dx.doi.org/10.1632/pmla.2018.133.5.1225.

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The concept “cultures of reading” should be expanded to include machines that read. Machine reading is exemplified by the computer system called Never-Ending Language Learning (NELL). Because NELL lacks real-world experience, its semantic comprehension is limited to forming categories of words. This process illustrates a major difference between human and machine reading: whereas human reading involves causal reasoning, machine reading relies more on correlations. Human-machine hybrid reading, for example the kind done with an e-book, can be understood as a cognitive assemblage through which i

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MARCHAND, YANNICK, and ROBERT I. DAMPER. "Can syllabification improve pronunciation by analogy of English?" Natural Language Engineering 13, no. 1 (2006): 1–24. http://dx.doi.org/10.1017/s1351324905004043.

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In spite of difficulty in defining the syllable unequivocally, and controversy over its role in theories of spoken and written language processing, the syllable is a potentially useful unit in several practical tasks which arise in computational linguistics and speech technology. For instance, syllable structure might embody valuable information for building word models in automatic speech recognition, and concatenative speech synthesis might use syllables or demisyllables as basic units. In this paper, we first present an algorithm for determining syllable boundaries in the orthographic form

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Ríssola, Esteban A., David E. Losada, and Fabio Crestani. "A Survey of Computational Methods for Online Mental State Assessment on Social Media." ACM Transactions on Computing for Healthcare 2, no. 2 (2021): 1–31. http://dx.doi.org/10.1145/3437259.

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Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a unique opportunity for researchers and health practitioners to proactively identify linguistic markers or patterns that correlate with mental disorders such as depression, schizophrenia or suicide behaviour. This survey describes and reviews the approaches that have been proposed for mental state assessment and identification of disorders using onl

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Guerrero, Esteban, Juan Carlos Nieves, and Helena Lindgren. "An activity-centric argumentation framework for assistive technology aimed at improving health." Argument & Computation 7, no. 1 (2016): 5–33. http://dx.doi.org/10.3233/aac-160004.

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Lund, Henrik Hautop, and Patrizia Marti. "Physical and conceptual constructions in advanced learning environments." Interaction Studies 5, no. 2 (2004): 271–301. http://dx.doi.org/10.1075/is.5.2.06lun.

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I-BLOCKS are an innovative concept of building blocks allowing users to manipulate conceptual structures and compose atomic actions while building physical constructions. They represent an example of enabling technologies for tangible interfaces since they emphasise physicality of interaction through the use of spatial and kinaesthetic knowledge. The technology presented in this paper is integrated in physical building blocks augmented with embedded and invisible microprocessors. Connectivity and behaviour of such structures are defined by the physical connectivity between the blocks. These ar

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Dwyer, Anne, Abílio de Almeida Neto, Dominique Estival, Weicong Li, Christa Lam-Cassettari, and Mark Antoniou. "Suitability of Text-Based Communications for the Delivery of Psychological Therapeutic Services to Rural and Remote Communities: Scoping Review." JMIR Mental Health 8, no. 2 (2021): e19478. http://dx.doi.org/10.2196/19478.

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Background People living in rural and remote areas have poorer access to mental health services than those living in cities. They are also less likely to seek help because of self-stigma and entrenched stoic beliefs about help seeking as a sign of weakness. E-mental health services can span great distances to reach those in need and offer a degree of privacy and anonymity exceeding that of traditional face-to-face counseling and open up possibilities for identifying at-risk individuals for targeted intervention. Objective This scoping review maps the research that has explored text-based e-men

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Vedula, Nikhita. "Modeling knowledge and functional intent for context-aware pragmatic analysis." ACM SIGWEB Newsletter, Winter (January 2021): 1–4. http://dx.doi.org/10.1145/3447879.3447882.

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Nikhita Vedula is an Applied Scientist at Amazon Alexa Science. She obtained her PhD in Computer Science and Engineering from the Ohio State University in August 2020, advised by Professor Srinivasan Parthasarathy. She received her bachelor's degree from the National Institute of Technology, Nagpur, India in 2015. Her research interests are at the intersection of data mining, natural language processing and social computing. Over the course of her PhD, her research involved designing efficient and novel machine learning and computational linguistic techniques that extract, interpret and transf

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شحادة علي, عاصم, та ربيعة الفاطمة الزّهراء بنت رشيد. "تعليم وتعلّم القواعد العربية الأساسية عبر المدونة العربية القرآنية (Teaching and Learning Arabic Grammars by Quranic Arabic corpus)". Journal of Islam in Asia (E-ISSN 2289-8077) 16, № 3 (2019): 1–36. http://dx.doi.org/10.31436/jia.v16i3.833.

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يعد القرآن الكريم من مصادر المعرفة، وقد تولدت منه فروع واسعة؛ إذ نُزل القرآن الكريم باللغة العربية، ولا يوجد خيار آخر لإتقان المعرفة الواردة فيه إلا من خلال تعلم اللغة العربية. تهدف هذه الدراسة إلى بيان مفهوم المدونة العربية القرآنية ومكوناتها، والكشف عن علاقة تعلم اللغة العربية بالقرآن الكريم، وبيان كيفية تعليم وتعلم القواعد العربية الأساسية عبر المدونة العربية القرآنية، وستتبع الدراسة المنهج الوصفي والتحليلي. إن وجود العلاقة بين اللغة العربية والقرآن الكريم، يدفع الطلبة المتخصصين في اللغة العربية أن يربطوا اللغة العربية بالقرآن؛ لذلك نرى أن المدونة العربية القرآنية تساعدهم على فهم القواعد ال

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Тарабань, Роман, Кодуру Лакшмоджі, Марк ЛаКур, and Філіп Маршалл. "Finding a Common Ground in Human and Machine-Based Text Processing." East European Journal of Psycholinguistics 5, no. 1 (2018): 83–91. http://dx.doi.org/10.29038/eejpl.2018.5.1.tar.

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Language makes human communication possible. Apart from everyday applications, language can provide insights into individuals’ thinking and reasoning. Machine-based analyses of text are becoming widespread in business applications, but their utility in learning contexts are a neglected area of research. Therefore, the goal of the present work is to explore machine-assisted approaches to aid in the analysis of students’ written compositions. A method for extracting common topics from written text is applied to 78 student papers on technology and ethics. The primary tool for analysis is the Late

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Anastasiou, Dimitra, and Rajat Gupta. "Comparison of crowdsourcing translation with Machine Translation." Journal of Information Science 37, no. 6 (2011): 637–59. http://dx.doi.org/10.1177/0165551511418760.

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In this paper we examine the model of crowdsourcing for translation and compare it with Machine Translation (MT). The large volume of material to be translated, the translation of this material into many languages combined with tight deadlines lead enterprises today to follow either crowdsourcing and/or MT. Crowdsourcing translation shares many characteristics with MT, as both can cope with high volume, perform at high speed, and reduce the translation cost. MT is an older technology, whereas crowdsourcing is a new phenomenon gaining much ground over time, mainly through Web 2.0. Examples and

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Kiraz, George. "Arabic Computational Morphology: Knowledge-Based and Empirical Methods Abdelhadi Soudi, Antal van den Bosch, and Günter Neumann (editors) (Ecole Nationale de l'Industrie Minérale, Morocco; Tilburg University; and Deutches Forschungszentrum für Künstliche Intelligenz) Springer (Text, Speech, and Language Technology series, edited by Nancy Ide and Jean Véronis, volume 38), 2007, viii+305 pp; hardbound, ISBN 978-1-4020-6045-8, $159.00." Computational Linguistics 34, no. 3 (2008): 459–62. http://dx.doi.org/10.1162/coli.2008.34.3.459.

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