Relevant bibliographies by topics / Digital Language Processing

Contents

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

Academic literature on the topic 'Digital Language Processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Digital Language Processing"

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Gonzalez-Dios, Itziar, and Begoña Altuna. "Natural Language Processing and Language Technologies for the Basque Language." Cuadernos Europeos de Deusto, no. 04 (July 22, 2022): 203–30. http://dx.doi.org/10.18543/ced.2477.

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The presence of a language in the digital domain is crucial for its survival, as online communication and digital language resources have become the standard in the last decades and will gain more importance in the coming years. In order to develop advanced systems that are considered the basics for an efficient digital communication (e.g. machine translation systems, text-to-speech and speech-to-text converters and digital assistants), it is necessary to digitalise linguistic resources and create tools. In the case of Basque, scholars have studied the creation of digital linguistic resources
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Bachate, Ravindra Parshuram, and Ashok Sharma. "Acquaintance with Natural Language Processing for Building Smart Society." E3S Web of Conferences 170 (2020): 02006. http://dx.doi.org/10.1051/e3sconf/202017002006.

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Natural Language Processing (NLP) deals with the spoken languages by using computer and Artificial Intelligence. As people from different regional areas using different digital platforms and expressing their views in their spoken language, it is now must to focus on working spoken languages in India to make our society smart and digital. NLP research grown tremendously in last decade which results in Siri, Google Assistant, Alexa, Cortona and many more automatic speech recognitions and understanding systems (ASR). Natural Language Processing can be understood by classifying it into Natural Lan
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Embree, Paul M., Bruce Kimble, and James F. Bartram. "C Language Algorithms for Digital Signal Processing." Journal of the Acoustical Society of America 90, no. 1 (1991): 618. http://dx.doi.org/10.1121/1.401205.

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Dolmans, Jeroen H. "C language algorithms for digital signal processing." Control Engineering Practice 4, no. 10 (1996): 1484–85. http://dx.doi.org/10.1016/0967-0661(96)85106-9.

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Németh, Renáta, and Júlia Koltai. "Natural language processing." Intersections 9, no. 1 (2023): 5–22. http://dx.doi.org/10.17356/ieejsp.v9i1.871.

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Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outside of sociology, while the expertise of sociology has been based on its own methods of research. Another challenge is epistemological: it is related to the validity of digital data and the different viewpoints associated with predictive and causal approaches. In our paper, we discuss the challenges and opportunities of the use of NLP in sociology, offer some
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Allah, Fadoua Ataa, and Siham Boulaknadel. "NEW TRENDS IN LESS-RESOURCED LANGUAGE PROCESSING: CASE OF AMAZIGH LANGUAGE." International Journal on Natural Language Computing 12, no. 2 (2023): 75–89. http://dx.doi.org/10.5121/ijnlc.2023.12207.

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The coronavirus (COVID-19) pandemic has dramatically changed lifestyles in much of the world. It forced people to profoundly review their relationships and interactions with digital technologies. Nevertheless, people prefer using these technologies in their favorite languages. Unfortunately, most languages are considered even as low or less-resourced, and they do not have the potential to keep up with the new needs. Therefore, this study explores how this kind of languages, mainly the Amazigh, will behave in the wholly digital environment, and what to expect for new trends. Contrary to last de
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Norilo, Vesa. "Kronos: A Declarative Metaprogramming Language for Digital Signal Processing." Computer Music Journal 39, no. 4 (2015): 30–48. http://dx.doi.org/10.1162/comj_a_00330.

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Kronos is a signal-processing programming language based on the principles of semifunctional reactive systems. It is aimed at efficient signal processing at the elementary level, and built to scale towards higher-level tasks by utilizing the powerful programming paradigms of “metaprogramming” and reactive multirate systems. The Kronos language features expressive source code as well as a streamlined, efficient runtime. The programming model presented is adaptable for both sample-stream and event processing, offering a cleanly functional programming paradigm for a wide range of musical signal-p
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Lazebna, N. V. "ENGLISH-LANGUAGE SENTENCE PROCESSING: DIGITAL TOOLS AND PSYCHOLINGUISTIC PERSPECTIVE." International Humanitarian University Herald. Philology 1, no. 46 (2020): 204–6. http://dx.doi.org/10.32841/2409-1154.2020.46-1.48.

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Müller, Marvin, Emanuel Alexandi, and Joachim Metternich. "Digital shop floor management enhanced by natural language processing." Procedia CIRP 96 (2021): 21–26. http://dx.doi.org/10.1016/j.procir.2021.01.046.

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KIERNAN, K. S. "Digital Image Processing and the Beowulf Manuscript." Literary and Linguistic Computing 6, no. 1 (1991): 20–27. http://dx.doi.org/10.1093/llc/6.1.20.

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Dissertations / Theses on the topic "Digital Language Processing"

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Kakavandy, Hanna, and John Landeholt. "How natural language processing can be used to improve digital language learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281693.

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The world is facing globalization and with that, companies are growing and need to hire according their needs. A great obstacle for this is the language barrier between job applicants and employers who want to hire competent candidates. One spark of light in this challenge is Lingio, who provides a product that teaches digital profession-specific Swedish. Lingio intends to make their existing product more interactive and this research paper aims to research aspects involved in that. This study evaluates system utterances that are planned to be used in Lingio’s product for language learners to
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Katzir, Yoel. "PC software for the teaching of digital signal processing." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23346.

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Approved for public release; distribution is unlimited<br>The Electrical and Computer Engineering Department at the Naval Postgraduate School has a need for additional software to be used in instructing students studying digital signal processing. This software will be used in a PC lab or at home. This thesis provides a set of disks written in APL (A Programming Language) which allows the user to input arbitrary signals from a disk, to perform various signal processing operations, to plot the results, and to save them without the need for complicated programming. The software is in the form of
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Ou, Shiyan, Christopher S. G. Khoo, and Dion H. Goh. "Automatic multi-document summarization for digital libraries." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106042.

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With the rapid growth of the World Wide Web and online information services, more and more information is available and accessible online. Automatic summarization is an indispensable solution to reduce the information overload problem. Multi-document summarization is useful to provide an overview of a topic and allow users to zoom in for more details on aspects of interest. This paper reports three types of multi-document summaries generated for a set of research abstracts, using different summarization approaches: a sentence-based summary generated by a MEAD summarization system that extracts
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Ruiz, Fabo Pablo. "Concept-based and relation-based corpus navigation : applications of natural language processing in digital humanities." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE053/document.

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La recherche en Sciences humaines et sociales repose souvent sur de grandes masses de données textuelles, qu'il serait impossible de lire en détail. Le Traitement automatique des langues (TAL) peut identifier des concepts et des acteurs importants mentionnés dans un corpus, ainsi que les relations entre eux. Ces informations peuvent fournir un aperçu du corpus qui peut être utile pour les experts d'un domaine et les aider à identifier les zones du corpus pertinentes pour leurs questions de recherche. Pour annoter automatiquement des corpus d'intérêt en Humanités numériques, les technologies TA
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Adam, Jameel. "Video annotation wiki for South African sign language." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1540_1304499135.

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<p>The SASL project at the University of the Western Cape aims at developing a fully automated translation system between English and South African Sign Language (SASL). Three important aspects of this system require SASL documentation and knowledge. These are: recognition of SASL from a video sequence, linguistic translation between SASL and English and the rendering of SASL. Unfortunately, SASL documentation is a scarce resource and no official or complete documentation exists. This research focuses on creating an online collaborative video annotation knowledge management system for SASL whe
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Kan'an, Tarek Ghaze. "Arabic News Text Classification and Summarization: A Case of the Electronic Library Institute SeerQ (ELISQ)." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/74272.

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Arabic news articles in heterogeneous electronic collections are difficult for users to work with. Two problems are: that they are not categorized in a way that would aid browsing, and that there are no summaries or detailed metadata records that could be easier to work with than full articles. To address the first problem, schema mapping techniques were adapted to construct a simple taxonomy for Arabic news stories that is compatible with the subject codes of the International Press Telecommunications Council. So that each article would be labeled with the proper taxonomy category, automatic
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Matsubara, Shigeki, Tomohiro Ohno, and Masashi Ito. "Text-Style Conversion of Speech Transcript into Web Document for Lecture Archive." Fuji Technology Press, 2009. http://hdl.handle.net/2237/15083.

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Segers, Vaughn Mackman. "The efficacy of the Eigenvector approach to South African sign language identification." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_2697_1298280657.

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<p>The communication barriers between deaf and hearing society mean that interaction between these communities is kept to a minimum. The South African Sign Language research group, Integration of Signed and Verbal Communication: South African Sign Language Recognition and Animation (SASL), at the University of the Western Cape aims to create technologies to bridge the communication gap. In this thesis we address the subject of whole hand gesture recognition. We demonstrate a method to identify South African Sign Language classifiers using an eigenvector ap- proach. The classifiers researched w
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Zahidin, Ahmad Zamri. "Using Ada tasks (concurrent processing) to simulate a business system." Virtual Press, 1988. http://liblink.bsu.edu/uhtbin/catkey/539634.

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Concurrent processing has always been a traditional problem in developing operating systems. Today, concurrent algorithms occur in many application areas such as science and engineering, artificial intelligence, business systems databases, and many more. The presence of concurrent processing facilities allows the natural expression of these algorithms as concurrent programs. This is a very distinct advantage if the underlying computer offers parallelism. On the other hand, the lack of concurrent processing facilities forces these algorithms to be written as sequential programs, thus, destroyin
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Vladimir, Ostojić. "Integrisana multiveličinska obrada radiografskih snimaka." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2018. https://www.cris.uns.ac.rs/record.jsf?recordId=107425&source=NDLTD&language=en.

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Predložena je multiveličinska obrada kojom je moguće objediniti pojačanjevidljivosti detalja kao i poboljšanje kontrasta radiografskih snimaka, kojimse uspostavlja ravnoteža između kontrasta slabo i jasno vidljivih struktura.Pored toga, obradom je obuhvaćeno i smanjenje globalnog kontrasta, čime jemoguće dodatno naglasiti lokalne strukture. Drugim rečima, predložena jemultiveličinska obrada koja integriše sve korake poboljšanja vidljivostianatomskih struktura. Predložena obrada razmotrena je u okviru razvijenogalgoritamskog okvira koji sadrži korake obrade radiografskih snimaka koji supotrebni
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Books on the topic "Digital Language Processing"

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Lyon, Douglas A. Java digital signal processing. M&T Books, 1998.

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1949-, Kimble Bruce, ed. C language algorithms for digital signal processing. PTR Prentice Hall, 1991.

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Lockhart, Gordon B. BASIC digital signal processing. Butterworths, 1989.

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Bekavac, Božo, Kristina Kocijan, Max Silberztein, and Krešimir Šojat, eds. Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70629-6.

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Bigey, Magali, Annabel Richeton, Max Silberztein, and Izabella Thomas, eds. Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92861-2.

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González, Mariana, Silvia Susana Reyes, Andrea Rodrigo, and Max Silberztein, eds. Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23317-3.

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M, Embree Paul. C++ algorithms for digital signal processing. Prentice Hall, 1999.

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Capturing time & motion: The dynamic language of digital photography. Lark Books, 2009.

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Hans, Uszkoreit, and SpringerLink (Online service), eds. The Hungarian Language in the Digital Age. Springer Berlin Heidelberg, 2012.

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Hans, Uszkoreit, and SpringerLink (Online service), eds. The Greek Language in the Digital Age. Springer Berlin Heidelberg, 2012.

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Book chapters on the topic "Digital Language Processing"

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Ferilli, Stefano. "Natural Language Processing." In Automatic Digital Document Processing and Management. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-198-1_6.

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Chanod, Jean-Pierre. "Natural Language Processing and Digital Libraries." In Information Extraction. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48089-7_2.

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Wang, J. K., S. K. Wang, E. B. Lee, and R. T. Chang. "Natural Language Processing (NLP) in AI." In Digital Eye Care and Teleophthalmology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24052-2_17.

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Piotrowski, Michael. "NLP and Digital Humanities." In Natural Language Processing for Historical Texts. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-02146-6_2.

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Boudabous, Mohamed Mahdi, Mohamed Hédi Maaloul, and Lamia Hadrich Belguith. "Digital Learning for Summarizing Arabic Documents." In Advances in Natural Language Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14770-8_10.

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Ami Podrebarac, Anamarija. "Introduction to Natural Language Processing." In Fragmentation of the Photographic Image in the Digital Age. Routledge, 2019. http://dx.doi.org/10.4324/9781351027946-15.

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Loukachevitch, Natalia, and Boris Dobrov. "RuThes Thesaurus for Natural Language Processing." In The Palgrave Handbook of Digital Russia Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42855-6_18.

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AbstractThis chapter describes the Russian RuThes thesaurus created as a linguistic and terminological resource for automatic document processing. Its structure utilizes two popular paradigms for computer thesauri: concept-based units, a small set of relation types, rules for including multiword expression as in information retrieval thesauri; and language-motivated units, detailed sets of synonyms, description of ambiguous words as in WordNet-like thesauri. The development of the RuThes thesaurus is supported for many years: new concepts, new senses, and multiword expressions found in contemporary texts are introduced regularly. The chapter shows some examples of representing newly appeared concepts related to important internal and international events.
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Gottfried, Björn, and Lothar Meyer-Lerbs. "Towards the Processing of Historic Documents." In Advanced Language Technologies for Digital Libraries. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23160-5_2.

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Abascal, Rocío, Béatrice Rumpler, and Jean-Marie Pinon. "Information Retrieval in Digital Theses Based on Natural Language Processing Tools." In Advances in Natural Language Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30228-5_16.

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LaFlair, Geoff, Kevin Yancey, Burr Settles, and Alina A. von Davier. "Computational Psychometrics for Digital-First Assessments." In Advancing Natural Language Processing in Educational Assessment. Routledge, 2023. http://dx.doi.org/10.4324/9781003278658-9.

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Conference papers on the topic "Digital Language Processing"

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Kyprianou, Ross, Peter Schachte, and Bill Moran. "Dauphin: A Signal Processing Language - Statistical Signal Processing Made Easy." In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371250.

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Liu, Shun, Hongtao Xie, Jian Yin, and Yajun Chen. "Uyghur language text detection in images." In Eighth International Conference on Digital Image Processing (ICDIP 2016), edited by Charles M. Falco and Xudong Jiang. SPIE, 2016. http://dx.doi.org/10.1117/12.2244133.

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Axelsson, Emil, Koen Claessen, Gergely Devai, et al. "Feldspar: A domain specific language for digital signal processing algorithms." In 2010 8th IEEE/ACM International Conference on Formal Methods and Models for Codesign (MEMOCODE 2010). IEEE, 2010. http://dx.doi.org/10.1109/memcod.2010.5558637.

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Gallardo-Antolin, Ascensión, Fernando Diaz-de-Maria, and Francisco J. Valverde-Albacete. "Recognition from GSM digital speech." In 5th International Conference on Spoken Language Processing (ICSLP 1998). ISCA, 1998. http://dx.doi.org/10.21437/icslp.1998-324.

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Hamey, Leonard G. C. "Efficient Image Processing with the Apply Language." In 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007). IEEE, 2007. http://dx.doi.org/10.1109/dicta.2007.4426843.

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Bhagat, Neel Kamal, Y. Vishnusai, and G. N. Rathna. "Indian Sign Language Gesture Recognition using Image Processing and Deep Learning." In 2019 Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2019. http://dx.doi.org/10.1109/dicta47822.2019.8945850.

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Cong Jin, Dong Xu, and ZhiGuo Qu. "Applications of digital fingerprinting and digital watermarking for E-commerce security mechanism." In 2008 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2008. http://dx.doi.org/10.1109/icalip.2008.4590183.

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Zhao, Hui, and Yanjie Li. "Analysis on the language features of digital sculptures." In International Conference on Image Processing and Intelligent Control (IPIC 2021), edited by Feng Wu and Fengjie Cen. SPIE, 2021. http://dx.doi.org/10.1117/12.2611392.

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di Buono, M. P., M. Monteleone, P. Ronzino, V. Vassallo, and S. Hermon. "Decision making support systems for the Archaeological domain: A Natural Language Processing proposal." In 2013 Digital Heritage International Congress (DigitalHeritage). IEEE, 2013. http://dx.doi.org/10.1109/digitalheritage.2013.6744789.

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Hubackova, Sarka. "Processing of multimedia aplications and their use in foreign language teaching." In 2016 Eleventh International Conference on Digital Information Management (ICDIM). IEEE, 2016. http://dx.doi.org/10.1109/icdim.2016.7829793.

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Reports on the topic "Digital Language Processing"

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Alonso-Robisco, Andres, and Jose Manuel Carbo. Analysis of CBDC Narrative OF Central Banks using Large Language Models. Banco de España, 2023. http://dx.doi.org/10.53479/33412.

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Central banks are increasingly using verbal communication for policymaking, focusing not only on traditional monetary policy, but also on a broad set of topics. One such topic is central bank digital currency (CBDC), which is attracting attention from the international community. The complex nature of this project means that it must be carefully designed to avoid unintended consequences, such as financial instability. We propose the use of different Natural Language Processing (NLP) techniques to better understand central banks’ stance towards CBDC, analyzing a set of central bank discourses f
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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3241.

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The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business
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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text i
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