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Journal articles on the topic 'Computational linguistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Yatsko, V. A. "Computational linguistics or linguistic informatics?" Automatic Documentation and Mathematical Linguistics 48, no. 3 (2014): 149–57. http://dx.doi.org/10.3103/s0005105514030042.

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Bara, Aicha. "Computational Linguistics Approach." Mathematical Linguistics 2, no. 1 (2022): 100–109. http://dx.doi.org/10.58205/ml.v2i1.155.

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This article aims to explain the field of computational linguistics and its specializations، its interest in computational modeling of natural language، and the study of computational approaches appropriate to linguistic questions. In general، computational linguistics draws on linguistics، computer science، artificial intelligence، mathematics، logic، philosophy، cognitive science، cognitive psychology، psycholinguistics، anthropology، and neuroscience، among others.

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N. O. Sadiku, Matthew, Chandra M. M. Kotteti, and Janet O. Sadiku. "Computational Linguistics." International Journal of Advances in Scientific Research and Engineering 10, no. 01 (2024): 01–06. http://dx.doi.org/10.31695/ijasre.2024.1.1.

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Linguistics is concerned with rules that are followed by languages as a system. Computational linguistics(CL)combines the power of machine learning and human language.As a subfield of linguistics, CL is concerned with the computational description of rules that languages follow. Itis what powers anything in a machine or device that has to do with language—speaking, writing, reading, and listening. It is often linked with natural language processing (NLP), which is the use of computers to identify structures in natural language.The boundary between NLP and CL is not so clear-cut. This paper is

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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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Wilks, Yorick. "Corpus linguistics and computational linguistics." International Journal of Corpus Linguistics 15, no. 3 (2010): 408–11. http://dx.doi.org/10.1075/ijcl.15.3.12wil.

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Nilufar Gulumboy Qizi, Madaminova. "THE IMPACT OF COMPUTATIONAL TECHNOLOGIES ON LINGUISTICS." Academic Journal Research 3, no. 1 (2024): 44–49. https://doi.org/10.61796/acjoure.v3i1.276.

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Objective: This study explores the integration of information technologies in linguistics, emphasizing their role in analyzing digital data and fostering innovative computational models for linguistic analysis. It highlights the interplay between software development and linguistics in creating systems for educational, professional, and automated language processing, including lexical and phonetic aspects. Methods: The research focuses on examining computational linguistics, utilizing digital tools and systems to process linguistic data effectively. It reviews innovative approaches in knowledg

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Yang, Fan. "A Computational Linguistic Approach to English Lexicography." Transactions on Computer Science and Intelligent Systems Research 2 (December 21, 2023): 39–44. http://dx.doi.org/10.62051/wepk6t89.

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Focusing on computational linguistic approaches to English linguistics, this research explores how computational methods can be applied to dissect, understand and utilise the English language. We first looked at text analysis and processing, delving into natural language processing techniques such as text categorisation, sentiment analysis and machine translation, and their application to social media and automated text processing. In the area of lexicography and semantics, we explored how techniques such as distributed word vectors, semantic role labelling and sentiment analysis can deepen ou

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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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Jäger, Gerhard. "Computational historical linguistics." Theoretical Linguistics 45, no. 3-4 (2019): 151–82. http://dx.doi.org/10.1515/tl-2019-0011.

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Abstract Computational approaches to historical linguistics have been proposed for half a century. Within the last decade, this line of research has received a major boost, owing both to the transfer of ideas and software from computational biology and to the release of several large electronic data resources suitable for systematic comparative work. In this article, some of the central research topics of this new wave of computational historical linguistics are introduced and discussed. These are automatic assessment of genetic relatedness, automatic cognate detection, phylogenetic inference

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Shokhrukh, Juraev B., and Shaymardanov H. Abror. "THE DEVELOPMENT TENDENCIES OF COMPUTATIONAL LINGUISTICS IN UZBEKISTAN: NLP, MACHINE TRANSLATION, CORPUS LINGUISTICS AND AUTOMATIC TEXT EDITING." American Journal of Social Science and Education Innovations 04, no. 10 (2022): 01–05. http://dx.doi.org/10.37547/tajssei/volume04issue10-01.

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This paper presents the recent development tendencies in the field of computational linguistics in Uzbekistan. It aims to address the researchers and research papers in computational linguistic areas such as: NLP, Machine translation, Corpus Linguistics and Text Editing. The article also highlights the new branches of Computational linguistics that has gained much importance in recent years in the country.

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11

Jones, Karen Spärck. "Computational Linguistics: What About the Linguistics?" Computational Linguistics 33, no. 3 (2007): 437–41. http://dx.doi.org/10.1162/coli.2007.33.3.437.

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12

Abu Assi, Adel. "Computational linguistics and its impact on the development of Arabic language: Phonetics as a model." Hebron University Research Journal (HURJ): B- (Humanities) 15, no. 1 (2020): 90–113. http://dx.doi.org/10.60138/15120204.

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The study of Arabic language using computational linguistics is one of the latest linguistic trends in contemporary Arabic linguistics. It emerged as a result of the current explosion of knowledge and technology. Arabic is a living language that is coping with this development. Arabic Computational Linguistics aims to convert the skills and sciences of Arabic language from traditional paper space to the Computational side. This research defines Computational Linguistics and reality of the Arabic Computational Linguistics and the ways to improve it. The application adopted will be through Phone

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Solovyev, Valery Dmitrievich, Marina Ivanovna Solnyshkina, and Danielle S. McNamara. "Computational linguistics and discourse complexology: Paradigms and research methods." Russian Journal of Linguistics 26, no. 2 (2022): 275–316. http://dx.doi.org/10.22363/2687-0088-31326.

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The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic analysis have become a reality due to the ability of artificial neural networks not only to learn and adapt, but also carry out automate linguistic analysis, select, modify and compare texts of various types and genres. The purpose of this article and the journal issue as a whole is to present modern areas of research in computational linguistics and linguistic complexology, as well as to define a solid rationale for the new interdisciplinary field, i.e. discourse complexology. The review of trends in comp

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Dunkel, Patricia, and Ralph Grishman. "Computational Linguistics: An Introduction." TESOL Quarterly 21, no. 3 (1987): 556. http://dx.doi.org/10.2307/3586503.

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Macías, B. "Computational linguistics: an introduction." Computer Speech & Language 3, no. 4 (1989): 383–85. http://dx.doi.org/10.1016/0885-2308(89)90005-3.

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Amieur, Allal, and Bachir Moulay lakhdar. "The role of computational linguistics in digitization of linguistic atlases." مجلة قضايا لغوية | Linguistic Issues Journal 2, no. 3 (2021): 163–70. http://dx.doi.org/10.61850/lij.v2i3.78.

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Isn’t a secret that computational linguistics relys on language computerigation. Ie. To use computer in coonting language results and to benefit from the data of computer to create a relationsluip betueer language and computer in order to study cases such as: ditecting language phenomena according to thir sounds, morphological, grammatical rethorical and computer assisted translation levels and to deal with special statistics operation. In addition to dictionary making and teaching languages. Because of all that, we must creatalinguistic language that forms a kind of a stoke inside those

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Belov, V. A. "Computer Technologies in Linguistics." Verba Northwest Linguistic Journal, no. 3 (2024): 8–23. https://doi.org/10.34680/verba-2024-3(13)-8-23.

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The article presents an overview of modern research in the field of computational and corpus linguistics. The relevance of the work is due to the fact that these areas are rapidly developing, so it is important to present an overview in Russian of the possibilities and achievements of computational linguistics. The work uses theoretical research methods. The article consists of two sections. The first examines the main studies in the field of corpus linguistics, the second briefly presents the achievements of computational linguistics. It is noted that corpus data have become an important sour

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Ermetova, J., and N. Matyakubova. "Derivational Analysis of Terms of Computational Linguistics." Bulletin of Science and Practice 6, no. 4 (2020): 581–86. http://dx.doi.org/10.33619/2414-2948/53/70.

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Describes the derivational analysis of the English terminology of computational linguistics. The study is conducted on a compilation of computer terms with a total volume of 744 units, compiled on the basis of computer and linguistic glossaries and dictionaries. The analysis was done based on the classification of L. Tkacheva. Made it possible to identify the most productive methods of term formation, as well as their structural types. The study may be of interest to researchers in the field of computational linguistics and translation activities.

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Baha, Fathi. "The role of computational linguistics in developing digital linguistic atlases: Design and Delivery." مجلة قضايا لغوية | Linguistic Issues Journal 2, no. 2 (2021): 101–16. http://dx.doi.org/10.61850/lij.v2i2.65.

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This research deals with an important issue in applied linguistics, namely the linguistic Atlas, a new topic which tries to find creative ways to make use of computer and software world in the language industry and its design.This paper attempts to address the following issues; First: what is computational linguistics, secondly: what is linguistic atlases, third: designing linguistic atlases, fourth: linguistic atlases and digital atlases, fifth: haw to benefit from computer linguistics in creating digital atlases, and sixth: haw to benefit from the GPS system to develop linguistic atlases.

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20

Mezhoud, Salim. "Language Mathematics and Mathematics Language, Reading from Computational Linguistics." Mathematical Linguistics 1, no. 1 (2021): 7–24. http://dx.doi.org/10.58205/ml.v1i1.140.

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The language of mathematics is the system used by mathematicians to communicate mathematical ideas among themselves. This language consists of a substrate of some natural language using technical terms and grammatical conventions that are peculiar to mathematical discourse, supplemented by a highly specialized symbolic notation for mathematical formulas. mathematical characterizations of various notions of linguistic complexity include also computational linguistics, philosophical logic, knowledge representation as a branch of artificial intelligence, theoretical computer science, and co

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21

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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Alzaben, Ahlam. "فعل الأمر في ضوء اللسانيات الحاسوبية". al-Turāṯ al-adabī 1, № 2 (2023): 28–62. http://dx.doi.org/10.52015/al-turathal-adabi.v1i2.20.

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The present study aims to employ computational linguistic as a mold for reconstructing Arabic grammar generally, and imperative verb specifically, in an attempt to exceed the traditional description of the cognitive human awareness to a specification which is close enough to language concept. The study regards "Imperative verb" as a model through which a new perspective of Arabic grammar is presented, taking computational linguistics into account, and going beyond description to specification. The principal objective of the present study is to rim language with computational frames

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23

Steiner, Lydia, Michael Cysouw, and Peter Stadler. "A Pipeline for Computational Historical Linguistics." Language Dynamics and Change 1, no. 1 (2011): 89–127. http://dx.doi.org/10.1163/221058211x570358.

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AbstractThere are many parallels between historical linguistics and molecular phylogenetics. In this paper we describe an algorithmic pipeline that mimics, as closely as possible, the traditional workflow of language reconstruction known as the comparative method. The pipeline consists of suitably modified algorithms based on recent research in bioinformatics, which are adapted to the specifics of linguistic data. This approach can alleviate much of the laborious research needed to establish proof of historical relationships between languages. Equally important to our proposal is that each ste

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24

Hunyadi, L. "Linguistic analysis of large corpora: approaches to computational linguistics in Hungary." Literary and Linguistic Computing 14, no. 1 (1999): 77–88. http://dx.doi.org/10.1093/llc/14.1.77.

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Imamverdiyev, Yadigar, та Adil Aliyev. "AZӘRBAYCAN DİLİ ÜÇÜN LİNQVİSTİK KORPUSLARIN FORMALAŞDIRILMASI PROBLEMLӘRİ". Elmi Əsərlər, № 2 (2023): 35–41. http://dx.doi.org/10.61413/fivf6911.

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Currently, computational linguistics and natural language processing technologies are based on the extensive use of data – the corresponding linguistic corpora. Therefore, corpus linguistics, which studies the methods of creating and using such corpuses, has become one of the leading directions in modern linguistics in a relatively short time. Ensuring the widespread use of the Azerbaijani language in the context of globalization is a state policy, and its implementation requires the development and application of appropriate computational linguistics technologies. One of the important prerequ

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S N, Ashwini, Dr M. N. Nachappa та Dr Geetha Madhusudan. "Inheriting the glory of PāṆinian grammar into computer science". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, № 008 (2024): 1–4. http://dx.doi.org/10.55041/ijsrem37286.

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the integration of Pāṇinian grammar principles into computer science represents a significant advancement in computational linguistics and natural language processing. Pāṇini, an ancient Indian grammarian, formulated an elaborate system of grammar known as Aṣṭādhyāyī around the 4th century BCE, which has been revered for its systematic and concise rules governing Sanskrit language structure. In recent years, there has been a growing interest in adapting Pāṇinian principles to enhance computational frameworks for understanding human languages. This paper explores the theoretical foundations of

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27

Johnson, Austin. "Computational linguistics and temporal perspective." Journal of Research Design and Statistics in Linguistics and Communication Science 3, no. 2 (2016): 251–67. http://dx.doi.org/10.1558/jrds.30022.

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Van Huyssteen, G. B. "Bilingual word list: computational linguistics." Literator 29, no. 1 (2008): 249–72. http://dx.doi.org/10.4102/lit.v29i1.109.

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Ginestet, Cedric. "Semisupervised Learning for Computational Linguistics." Journal of the Royal Statistical Society: Series A (Statistics in Society) 172, no. 3 (2009): 694. http://dx.doi.org/10.1111/j.1467-985x.2009.00595_2.x.

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Valiyeva, Kamila. "MODERN AREAS OF COMPUTATIONAL LINGUISTICS." Problems of Information Society 07, no. 2 (2016): 91–100. http://dx.doi.org/10.25045/jpis.v07.i2.10.

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Divjak, Dagmar, Serge Sharoff, and Tomaž Erjavec. "Slavic Corpus and Computational Linguistics." Journal of Slavic Linguistics 25, no. 2 (2017): 171–99. http://dx.doi.org/10.1353/jsl.2017.0008.

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Heinz, Jeffrey, Colin de la Higuera, and Menno van Zaanen. "Grammatical Inference for Computational Linguistics." Synthesis Lectures on Human Language Technologies 8, no. 4 (2015): 1–139. http://dx.doi.org/10.2200/s00643ed1v01y201504hlt028.

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Feldman, Anna. "Computational Linguistics: Models, Resources, Applications." Computational Linguistics 32, no. 3 (2006): 443–44. http://dx.doi.org/10.1162/coli.2006.32.3.443.

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Manning, Christopher D. "Computational Linguistics and Deep Learning." Computational Linguistics 41, no. 4 (2015): 701–7. http://dx.doi.org/10.1162/coli_a_00239.

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35

Komalova, L. R. "Modern landscape of Computational Linguistics." Вестник Московского государственного лингвистического университета. Гуманитарные науки, no. 6 (2022): 40–47. http://dx.doi.org/10.52070/2542-2197_2022_6_861_40.

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Greengard, Samuel. "Computational Linguistics Finds its Voice." Communications of the ACM 66, no. 2 (2023): 18–20. http://dx.doi.org/10.1145/3575666.

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Nagiyeva, Nigar. "Sources of computational linguistics terminology." Terminology Issues, no. 2 (2023): 91. http://dx.doi.org/10.59849/2663-8967.2023.2.91.

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Bowern, Claire. "Computational Phylogenetics." Annual Review of Linguistics 4, no. 1 (2018): 281–96. http://dx.doi.org/10.1146/annurev-linguistics-011516-034142.

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39

Bari, Kartick Chandra. "Exploring the Computational Framework of Pāṇini’s Aṣṭādhyāyī: Its Relevance to Modern Linguistics and Artificial Intelligence". RESEARCH REVIEW International Journal of Multidisciplinary 9, № 8 (2024): 167–72. https://doi.org/10.31305/rrijm.2024.v09.n08.022.

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This paper investigates the computational structure of Pāṇini’s Aṣṭādhyāyī, a seminal work in Sanskrit grammar, and assesses its significance for contemporary linguistics and artificial intelligence (AI). Pāṇini’s methodology, which systematically categorizes linguistic rules within a structured and rule-based framework, offers a distinctive perspective on language processing. The Aṣṭādhyāyī provides a definitive framework for the creation and examination of linguistic structures, rendering it an invaluable model for computational linguistics. This paper examines the applicability of Pāṇini’s

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Benamara, Farah, Maite Taboada, and Yannick Mathieu. "Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational Applications." Computational Linguistics 43, no. 1 (2017): 201–64. http://dx.doi.org/10.1162/coli_a_00278.

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The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including sociology, psychology, economics, linguistics, and computer science. A number of excellent computational linguistics and linguistic surveys of the field exist. Most surveys, however, do not bring the two disciplines together to show how methods from linguistics can benefit computational sentiment analysis systems. In this survey, we show how incorporating linguistic insights, discourse information, and other contextual phenomena, in combination with the statistical exploitation of data, can result in

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Bazylev, V. N. "New achievements in Russian linguistics (neo-psycholinguistics, migration linguistics, contact linguistics, computational linguistics, connectivistics)." Russian language at school 82, no. 6 (2021): 73–78. http://dx.doi.org/10.30515/0131-6141-2021-82-6-73-78.

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Abstract. The paper is focused on relevant directions in modern Russian Linguistics. It is the continuation of the 2019 publication where the ideas of Pedagogical and Anthropo-Oriented Linguistics, Political Communication Studies and Theological Linguistics were introduced. The aim of this paper is to demonstrate the expanding horizons of the science about the language of the 21st century. The particular sections of the text characterize the goals of modern linguistics, its key concepts, objectives and methods currently employed in the sphere of studying language and real discursive practices.

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BENSEDDIK, Abdelbasset Abdelssamed, and Taher BRAHIMI. "Employing computational linguistics in the makers and development of digital atlases." مجلة قضايا لغوية | Linguistic Issues Journal 3, no. 1 (2022): 22–36. http://dx.doi.org/10.61850/lij.v3i1.81.

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This study aims to introduce computational linguistics, and to show its important role in the manufacture and development of digital atlases, as computational linguistics is one of the most important branches of applied linguistics that is based in its work on the computer on the grounds that it has the ability to retain a large amount of information and knowledge; And documenting this knowledge by computer for ease of reference, in addition to spreading the culture of adapting the computer to serve languages, including the Arabic language, and perhaps the relationship that made computer lingu

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Darmoroz, Halyna. "Professional Training of Computational Linguists at the University of Stuttgart." Comparative Professional Pedagogy 7, no. 3 (2017): 75–83. http://dx.doi.org/10.1515/rpp-2017-0039.

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Abstract The paper deals with the aspects of professional training of specialists in computational linguistics by the example of the University of Stuttgart. First of all, we have attempted to define the essence of the terms “applied linguistics” and “computational linguistics” based on the views of Ukrainian and foreign scholars. We have found out that there is an obvious inconsistency in using these terms as Ukrainian scholars view it as a science related to practical application of linguistic achievements with the use of the latest technologies, whereas abroad they believe that computationa

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DONG, ANDY. "Concept formation as knowledge accumulation: A computational linguistics study." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 20, no. 1 (2006): 35–53. http://dx.doi.org/10.1017/s0890060406060033.

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Language plays at least two roles in design. First, language serves as representations of ideas and concepts through linguistic behaviors that represent the structure of thought during the design process. Second, language also performs actions and creates states of affairs. Based on these two perspectives on language use in design, we apply the computational linguistics tools of latent semantic analysis and lexical chain analysis to characterize how design teams engage in concept formation as the accumulation of knowledge represented by lexicalized concepts. The accumulation is described in a

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Chandra, Yanto. "Toward a Meta-Linguistic Model of Social Entrepreneurship: Insights from Computational Linguistics." Academy of Management Proceedings 2014, no. 1 (2014): 13356. http://dx.doi.org/10.5465/ambpp.2014.13356abstract.

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Davydenko, Viktoriia I. "CONTEMPORARY UKRAINIAN COMPUTATIONAL DICTIONARIES: HISTORY, ACHIEVEMENTS, AND CHALLENGES." Scientific Journal of National Pedagogical Dragomanov University. Series 9. Current Trends in Language Development, no. 26 (December 29, 2023): 5–12. http://dx.doi.org/10.31392/npu-nc.series9.2023.26.01.

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The article deals with the factors that led to the emergence of Applied Linguistics, Computational Linguistics, and Computational Lexicography – these are the processes of global digitalization of the world, the expansion of the scale of the scientific and technical revolution in the field of information systems and computer communication, the formation of the knowledge industry, requests on the development of radically new means of creating, storing, transforming and searching for information, as well as the integration of scientific fields. It is noted that at the beginning of the 21st centu

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Serebrianska, Irina. "APPLIED LINGUISTICS, COMPUTATIONAL LINGUISTICS AND OTHER INTERDISCIPLINARY SCIENCES AS EFFECTIVE INTERCULTURAL COMMUNICATION STRATEGIES." Fìlologìčnì traktati 13, no. 1 (2021): 78–84. http://dx.doi.org/10.21272/ftrk.2021.13(1)-8.

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The article deals with the issues of interaction of linguistics and modern computer information technologies. It systematizes the actual problems and ways of their integration based on the analysis of the latest scientific works and the appropriate educational programs in higher education institutions all over the world. It draws attention to interdisciplinary sciences such as applied linguistics, computational linguistics, linguistic informatics, quantitative linguistics, mathematical linguistics, Internet linguistics, and integrated knowledge. The cooperation of two different areas is very p

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Jäger, Gerhard. "Model evaluation in computational historical linguistics." Theoretical Linguistics 45, no. 3-4 (2019): 299–307. http://dx.doi.org/10.1515/tl-2019-0020.

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Abstract This is a reply to the comments by Hammarström et al. (This volume) and List (This volume) on the target article Computational Historical Linguistics (This volume). There I proposed several methodological principles for research in Computational Historical Linguistics pertaining to suitable techniques for model fitting and model evaluation. Hammarström et al. debate the usefulness of these principles, and List proposes a novel evaluation measure specifically aimed at the task of proto-form reconstruction. This reply will focus on the role of model evaluation in our field.

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Sampson, G. "The Oxford Handbook of Computational Linguistics." Literary and Linguistic Computing 18, no. 3 (2003): 333–36. http://dx.doi.org/10.1093/llc/18.3.333.

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List, Johann-Mattis. "Open Problems in Computational Historical Linguistics." Open Research Europe 3 (May 29, 2024): 201. http://dx.doi.org/10.12688/openreseurope.16804.2.

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Abstract:

Problems constitute the starting point of all scientific research. The essay reflects on the different kinds of problems that scientists address in their research and discusses a list of 10 problems for the field of computational historical linguistics, that was proposed throughout 2019 in a series of blog posts (see http://phylonetworks.blogspot.com/). In contrast to problems identified in different contexts, these problems were considered to be solvable, but no solution could be proposed back then. By discussing the problems in the light of developments that have been made in the field durin

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