Relevant bibliographies by topics / Computational linguistics

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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 'Computational linguistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Computational linguistics"

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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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Dissertations / Theses on the topic "Computational linguistics"

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vanCort, Tracy. "Computational Evolutionary Linguistics." Scholarship @ Claremont, 2001. https://scholarship.claremont.edu/hmc_theses/137.

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Languages and species both evolve by a process of repeated divergences, which can be described with the branching of a phylogenetic tree or phylogeny. Taking advantage of this fact, it is possible to study language change using computational tree building techniques developed for evolutionary biology. Mathematical approaches to the construction of phylogenies fall into two major categories: character based and distance based methods. Character based methods were used in prior work in the application of phylogenetic methods to the Indo-European family of languages by researchers at the Universi
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Wang, Pengyu. "Collapsed variational inference for computational linguistics." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:13c08f60-1441-4ea5-b52f-7ffd0d7a744f.

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Bayesian modelling is a natural fit for tasks in computational linguistics, since it can provide interpretable structures, useful prior controls, and coherent management of uncertainty. However, exact Bayesian inference is intractable for many models of practical interest. Developing both accurate and efficient approximate Bayesian inference algorithms remains a fundamental challenge, especially for the field of computational linguistics where datasets are large and growing and models consist of complex latent structures. Collapsed variational inference (CVI) is an important milestone that com
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Penton, Dave. "Linguistic data models : presentation and representation /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002875.

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Fujinami, Tsutomu. "A process algebraic approach to computational linguistics." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/521.

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The thesis presents a way to apply process algebra to computational linguistics. We are interested in how contexts can affect or contribute to language understanding and model the phenomena as a system of communicating processes to study the interaction between them in detail. For this purpose, we turn to the pie-calculus and investigate how communicating processes may be defined. While investigating the computational grounds of communication and concurrency,we devise a graphical representation for processes to capture the structure of interaction between them. Then, we develop a logic, combin
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Moilanen, Karo. "Compositional entity-level sentiment analysis." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559817.

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This thesis presents a computational text analysis tool called AFFECTiS (Affect Interpretation/Inference System) which focuses on the task of interpreting natural language text based on its subjective, non-factual, affective properties that go beyond the 'traditional' factual, objective dimensions of meaning that have so far been the main focus of Natural Language Processing and Computational Linguistics. The thesis presents a fully compositional uniform wide-coverage computational model of sentiment in text that builds on a number of fundamental compositional sentiment phenomena and processes
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Holmqvist, Maria. "Word Alignment by Re-using Parallel Phrases." Licentiate thesis, Linköping University, Linköping University, NLPLAB - Natural Language Processing Laboratory, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15463.

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<p>In this thesis we present the idea of using parallel phrases for word alignment. Each parallel phrase is extracted from a set of manual word alignments and contains a number of source and target words and their corresponding alignments. If a parallel phrase matches a new sentence pair, its word alignments can be applied to the new sentence. There are several advantages of using phrases for word alignment. First, longer text segments include more  context and will be more likely to produce correct word alignments than shorter segments or single words. More importantly, the use of longer phra
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Wahle, Johannes [Verfasser]. "Algorithmic advancements in Computational Historical Linguistics / Johannes Wahle." Tübingen : Universitätsbibliothek Tübingen, 2021. http://d-nb.info/1241537038/34.

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Chew, Peter. "A computational phonology of Russian." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324285.

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Senaldi, Marco Silvio Giuseppe. "Working both sides of the street: computational and psycholinguistic investigations on idiomatic variability." Doctoral thesis, Scuola Normale Superiore, 2019. http://hdl.handle.net/11384/86016.

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Over the years, the original conception of idioms as semantically empty and formally frozen units (Bobrow and Bell, 1973; Swinney and Cutler, 1979) has been replaced by a more complex view, whereby some idioms display an analyz able semantic structure (Nunberg, 1978) that allows for greater formal plasticity (Nunberg et al., 1994; Gibbs and Nayak, 1989). Corpus data have anyway shown that all types of idioms allow for a certain degree of manipulation if an appropriate context is provided (Duffley, 2013; Vietri, 2014). On the other hand, psycholin guistic data have revealed that the proces
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Kof, Leonid. "Text analysis for requirements engineering : application of computational linguistics /." Saarbrücken : VDM Verl. Dr. Müller, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=3021639&prov=M&dok_var=1&dok_ext=htm.

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Books on the topic "Computational linguistics"

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Dershowitz, Nachum, and Ephraim Nissan, eds. Language, Culture, Computation. Computational Linguistics and Linguistics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45327-4.

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Przepiórkowski, Adam, Maciej Piasecki, Krzysztof Jassem, and Piotr Fuglewicz, eds. Computational Linguistics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34399-5.

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Hasida, Kôiti, and Ayu Purwarianti, eds. Computational Linguistics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0515-2.

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Hasida, Kôiti, and Win Pa Pa, eds. Computational Linguistics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8438-6.

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Nguyen, Le-Minh, Xuan-Hieu Phan, Kôiti Hasida, and Satoshi Tojo, eds. Computational Linguistics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6168-9.

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Eva, Ejerhed, ed. Computational linguistics. Norwegian University Press, 1988.

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Gazdar, Gerald. Computational linguistics. Cognitive Studies Programme, The University of Sussex, 1986.

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Bátori, István S., Winfried Lenders, and Wolfgang Putschke, eds. Computational Linguistics / Computerlinguistik. Walter de Gruyter, 1989. http://dx.doi.org/10.1515/9783110203325.

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Li, Sheng, Maosong Sun, Yang Liu, et al., eds. Chinese Computational Linguistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84186-7.

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Sun, Maosong, Yang Liu, Wanxiang Che, et al., eds. Chinese Computational Linguistics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18315-7.

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Book chapters on the topic "Computational linguistics"

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Brown, Georgina. "Computational linguistics." In Introducing Linguistics. Routledge, 2022. http://dx.doi.org/10.4324/9781003045571-21.

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De Roeck, Anne. "Computational linguistics." In Handbook of Pragmatics. John Benjamins Publishing Company, 1995. http://dx.doi.org/10.1075/hop.m.comm2.

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De Roeck, Anne. "Computational linguistics." In Handbook of Pragmatics. John Benjamins Publishing Company, 2022. http://dx.doi.org/10.1075/hop.m2.comm2.

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Matthiessen, Christian M. I. M., Bo Wang, Yuanyi Ma, and Isaac N. Mwinlaaru. "Computational Linguistics." In Systemic Functional Insights on Language and Linguistics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8713-6_5.

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Trujillo, Arturo. "Computational Linguistics Techniques." In Translation Engines: Techniques for Machine Translation. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0587-9_5.

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Woolls, David. "Computational forensic linguistics." In The Routledge Handbook of Forensic Linguistics. Routledge, 2020. http://dx.doi.org/10.4324/9780429030581-45.

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Ionkina, Karina, Suraj Sood, Monte Hancock, Charlotte Walker, and Raman Kannan. "Kantian Computational Linguistics." In Augmented Cognition. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78114-9_17.

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Munaro, Nicola. "Computational puzzles of conditional clause preposing." In Linguistik Aktuell/Linguistics Today. John Benjamins Publishing Company, 2005. http://dx.doi.org/10.1075/la.75.06mun.

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Patricia, Friedrich. "Combining corpus linguistics and computational linguistics." In Applied Linguistics In The Real World. Routledge, 2019. http://dx.doi.org/10.4324/9780429032219-7.

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Lindén, Krister, Erik Axelson, Senka Drobac, Sam Hardwick, Miikka Silfverberg, and Tommi A. Pirinen. "Using HFST for Creating Computational Linguistic Applications." In Computational Linguistics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34399-5_1.

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Conference papers on the topic "Computational linguistics"

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Uszkoreit, Hans. "Linguistics in computational linguistics." In the EACL 2009 Workshop. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1642038.1642043.

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Erbach, Gregor. "Computational linguistics and linguistics." In the EACL 2009 Workshop. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1642038.1642046.

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"Computational linguistics." In 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 2016. http://dx.doi.org/10.1109/infrkm.2016.7806324.

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Pullum, Geoffrey K. "Computational linguistics and generative linguistics." In the EACL 2009 Workshop. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1642038.1642042.

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Feldman, Jerome A. "Computational cognitive linguistics." In the 20th international conference. Association for Computational Linguistics, 2004. http://dx.doi.org/10.3115/1220355.1220515.

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Moore, Robert C. "What do computational linguists need to know about linguistics?" In the EACL 2009 Workshop. Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1642038.1642047.

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"Computational linguistics—applications." In 2008 International Multiconference on Computer Science and Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/imcsit.2008.4747257.

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"Computational linguistics—applications." In 2009 International Multiconference on Computer Science and Information Technology (IMCSIT). IEEE, 2009. http://dx.doi.org/10.1109/imcsit.2009.5352731.

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"Computational Linguistics—Applications." In 2010 International Multiconference on Computer Science and Information Technology (IMCSIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/imcsit.2010.5680067.

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Bharati, Akshar, Vineet Chaitanya, and Rajeev Sangal. "Computational linguistics in India." In the 38th Annual Meeting. Association for Computational Linguistics, 2000. http://dx.doi.org/10.3115/1075218.1075295.

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Reports on the topic "Computational linguistics"

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Taylor, Ronald C. Automated insertion of sequences into a ribosomal RNA alignment: An application of computational linguistics in molecular biology. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/10108317.

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Taylor, R. C. Automated insertion of sequences into a ribosomal RNA alignment: An application of computational linguistics in molecular biology. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6057182.

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Lutz, Carsten. PDL with Intersection and Converse is Decidable. Technische Universität Dresden, 2005. http://dx.doi.org/10.25368/2022.148.

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In its many guises and variations, propositional dynamic logic (PDL) plays an important role in various areas of computer science such as databases, artificial intelligence, and computer linguistics. One relevant and powerful variation is ICPDL, the extension of PDL with intersection and converse. Although ICPDL has several interesting applications, its computational properties have never been investigated. In this paper, we prove that ICPDL is decidable by developing a translation to the monadic second order logic of infinite trees. Our result has applications in information logic, descriptio
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Jamilov, Rustam, Hélène Rey, and Ahmed Tahoun. The Anatomy of Cyber Risk. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp206.

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This paper employs computational linguistics to introduce a novel text-based measure of firm-level cyber risk exposure based on quarterly earnings conference calls of listed firms. Our quarterly measures are available for more than 13,000 firms from 85 countries over 2002-2021. We document that cyber risk exposure predicts cyber attacks, affects stock returns and profits, and is priced in the equity option market. The cost of option protection against price, variance, and tail risks is greater for more cyber-exposed firms. Cyber risks spill over across firms and persist at the sectoral level.
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Jurafsky, Daniel. An On-Line Computational Model of Human Sentence Interpretation: A Theory of the Representation and Use of Linguistic Knowledge. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada604298.

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Moreno Pérez, Carlos, and Marco Minozzo. “Making Text Talk”: The Minutes of the Central Bank of Brazil and the Real Economy. Banco de España, 2022. http://dx.doi.org/10.53479/23646.

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This paper investigates the relationship between the views expressed in the minutes of the meetings of the Central Bank of Brazil’s Monetary Policy Committee (COPOM) and the real economy. It applies various computational linguistic machine learning algorithms to construct measures of the minutes of the COPOM. First, we create measures of the content of the paragraphs of the minutes using Latent Dirichlet Allocation (LDA). Second, we build an uncertainty index for the minutes using Word Embedding and K-Means. Then, we combine these indices to create two topic-uncertainty indices. The first one
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