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Статті в журналах з теми "Natural language processing techniques"
Yilmaz, A. Egemen. "Natural Language Processing." International Journal of Systems and Service-Oriented Engineering 4, no. 1 (January 2014): 68–83. http://dx.doi.org/10.4018/ijssoe.2014010105.
Повний текст джерелаValiyev, Giavid, Marcello Piraino, Arvid Kok, Michael Street, Ivana Ilic Mestric, and Retzius Birger. "Initial Exploitation of Natural Language Processing Techniques on NATO Strategy and Policies." Information & Security: An International Journal 47, no. 2 (2020): 187–202. http://dx.doi.org/10.11610/isij.4713.
Повний текст джерелаPujeri, Bhagyashree P., and Jagadeesh Sai D. "An Anatomization of Language Detection and Translation using NLP Techniques." International Journal of Innovative Technology and Exploring Engineering 10, no. 2 (December 10, 2020): 69–77. http://dx.doi.org/10.35940/ijitee.b8265.1210220.
Повний текст джерелаH.Yousif, Jabar. "Natural Language Processing based Soft Computing Techniques." International Journal of Computer Applications 77, no. 8 (September 18, 2013): 43–49. http://dx.doi.org/10.5120/13418-1089.
Повний текст джерелаRadev, Dragomir R., and Rada Mihalcea. "Networks and Natural Language Processing." AI Magazine 29, no. 3 (September 5, 2008): 16. http://dx.doi.org/10.1609/aimag.v29i3.2160.
Повний текст джерелаKorycinski, C., and Alan F. Newell. "Natural-language processing and automatic indexing." Indexer: The International Journal of Indexing: Volume 17, Issue 1 17, no. 1 (April 1, 1990): 21–29. http://dx.doi.org/10.3828/indexer.1990.17.1.8.
Повний текст джерелаPanchal, Drashti, Mihika Mehta, Aryaman Mishra, Saish Ghole, and Mrs Smita Dandge. "Sentiment Analysis Using Natural Language Processing." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 2262–66. http://dx.doi.org/10.22214/ijraset.2022.42711.
Повний текст джерелаJain, Dr Meghna. "Sentiment Classification of Hindi Language using Natural Language Processing Techniques." Journal of Language and Linguistics in Society, no. 26 (November 21, 2022): 7–10. http://dx.doi.org/10.55529/jlls.26.7.10.
Повний текст джерелаFairie, Paul, Zilong Zhang, Adam G. D'Souza, Tara Walsh, Hude Quan, and Maria J. Santana. "Categorising patient concerns using natural language processing techniques." BMJ Health & Care Informatics 28, no. 1 (June 2021): e100274. http://dx.doi.org/10.1136/bmjhci-2020-100274.
Повний текст джерелаNohria, Ankita, and Harkiran Kaur. "Evaluation of Parsing Techniques in Natural Language Processing." International Journal of Computer Trends and Technology 60, no. 1 (June 25, 2018): 31–34. http://dx.doi.org/10.14445/22312803/ijctt-v60p104.
Повний текст джерелаДисертації з теми "Natural language processing techniques"
Cosh, Kenneth John. "Supporting organisational semiotics with natural language processing techniques." Thesis, Lancaster University, 2003. http://eprints.lancs.ac.uk/12351/.
Повний текст джерелаHarmain, H. M. "Building object-oriented conceptual models using natural language processing techniques." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312740.
Повний текст джерелаCaliff, Mary Elaine. "Relational learning techniques for natural language information extraction /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Повний текст джерелаEyecioglu, Ozmutlu Asli. "Paraphrase identification using knowledge-lean techniques." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/65497/.
Повний текст джерелаChong, Man Yan Miranda. "A study on plagiarism detection and plagiarism direction identification using natural language processing techniques." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/298219.
Повний текст джерелаAl, Qady Mohammed Abdelrahman. "Concept relation extraction using natural language processing the CRISP technique /." [Ames, Iowa : Iowa State University], 2008.
Знайти повний текст джерелаBjörner, Amanda. "Natural Language Processing techniques for feedback on text improvement : A qualitative study on press releases." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301303.
Повний текст джерелаAktörer som sträcker sig från privata företag till mydigheter och forskare använder pressmeddelanden för att offentligt delge information med nyhetsvärde. Dessa pressmeddelanden spelar därefter en nyckelroll i dagens nyhetsproduktion genom att förformulera nyheter och eftersträvar därför att hålla en viss språklig nivå. För att förbättra kvalitet och innehåll i pressmeddelanden undersöker detta examensarbete hur språkteknologisk textanalys och återkoppling till författare kan stödja dem i att förbättra sina texter. Denna frågeställning undersöks i två delar, en tillämpad del och en teoretisk del. Den tillämpade delen undersöker hur återkoppling kring innehållsuppfattning kan förbättra pressmeddelanden. Ett webb-baserat verktyg utvecklades där användare kan skriva in pressmeddelanden och få dessa analyserade. Analysen baseras på läsbarhet som bedöms med hjälp av måttet LIX samt språklig bias (partiska uttryck) i form av weasel words (vessleord) och peacock words (påfågelord) som detekteras genom regelbaserad sentimentanalys. Denna del utvärderades kvalitativt genom en enkätundersökning till användarna samt djupintervjuer. Den teoretiska delen av frågeställningen undersöker hur information om trendande ämnen kan bidra till att förbättra pressmeddelanden. Undersökningen genomfördes som en litteraturstudie och utvärderades kvalitativt genom att sammanställa åsikter från yrkesverksamma som arbetar med pressmeddelanden i enkätundersökningen och djupintervjuerna som beskrevs ovan. Resultaten indikerar att för feedback om innehållsuppfattning är det särskilt mindre erfarna författare och vetenskapligt innehåll riktat till allmänheten som skulle uppnå förbättrad textkvalitet till följd av läsbarhetsbedömning och upptäckt av partiska uttryck. Samtidigt var en majoritet av deltagarna i utvärderingen mer nöjda med sina pressmeddelanden efter redigering baserat på läsbarhetsfeedbacken. Dessutom rapporterade alla deltagare med partiska uttryck i sina texter att upptäckten ledde till positiva förändringar som resulterade i förbättrad textkvalitet. Gällande den teoretiska delen anses både textkvaliteten och antalet publikationer öka för pressmeddelnanden om trendande ämnen. Att ge författare information om trendande ämnen på en detaljerad nivå indikeras vara det mest hjälpsamma.
Peri, Deepthi. "Applying Natural Language Processing and Deep Learning Techniques for Raga Recognition in Indian Classical Music." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99967.
Повний текст джерелаMaster of Science
In Indian Classical Music (ICM), the Raga is a musical piece's melodic framework. The Raga is a unique concept in ICM, not fully described by any of the fundamental concepts of Western classical music. The Raga provides musicians with a melodic fabric, within which all compositions and improvisations must take place. Raga recognition refers to identifying the constituent Raga in an audio file, a challenging and important problem with several known prior approaches and applications in Music Information Retrieval. This thesis presents a novel approach to recognizing Ragas by representing this task as a document classification problem, solved by applying a deep learning technique. A digital audio excerpt is processed into a textual document structure, from which the constituent Raga is learned. Based on the evaluation with third-party datasets, our recognition approach achieves high accuracy, thus outperforming prior approaches.
Imperatore, Gennaro. "Improving ease and speed of use of mobile augmentative and alternative communication systems through the use of natural language processing and natural language generation techniques." Thesis, University of Strathclyde, 2016. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=27381.
Повний текст джерелаAntici, Francesco. "Advanced techniques for cross-language annotation projection in legal texts." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23884/.
Повний текст джерелаКниги з теми "Natural language processing techniques"
Perez-Marin, Diana. Conversational agents and natural language interaction: Techniques and effective practices. Hershey, PA: Information Science Reference, 2011.
Знайти повний текст джерелаHarrington, Jonathan. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.
Знайти повний текст джерела1952-, Cassidy Steve, ed. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.
Знайти повний текст джерелаC, Rothman Raymond. Programming in your words, expert or novice: With any database program, custom-make your programs, linguistic technique, filing and accounting system. Woodland Hills, Calif., USA: Database Users & Information Managers International, 1988.
Знайти повний текст джерелаNatural language processing. Oxford, OX: Blackwell Scientific Publications, 1988.
Знайти повний текст джерелаFilgueiras, M., L. Damas, N. Moreira, and A. P. Tomás, eds. Natural Language Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-53678-7.
Повний текст джерелаShwartz, Steven P. Applied natural language processing. Princeton, N.J: Petrocelli Books, 1987.
Знайти повний текст джерелаCohen, Kevin Bretonnel, and Dina Demner-Fushman. Biomedical natural language processing. Amsterdam: John Benjamins Publishing Company, 2014.
Знайти повний текст джерелаKulkarni, Akshay, and Adarsha Shivananda. Natural Language Processing Recipes. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7351-7.
Повний текст джерелаKulkarni, Akshay, Adarsha Shivananda, and Anoosh Kulkarni. Natural Language Processing Projects. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7386-9.
Повний текст джерелаЧастини книг з теми "Natural language processing techniques"
Bethu, Srikanth, Suresh Mamidisetti, S. Bhargavi Latha, and B. Sankara Babu. "S2S Translator by Natural Language Processing." In Smart Computing Techniques and Applications, 475–85. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0878-0_47.
Повний текст джерелаFujita, Atsushi. "Natural language processing techniques for translation." In Metalanguages for Dissecting Translation Processes, 216–36. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003250852-19.
Повний текст джерелаKorkontzelos, Ioannis, Ioannis P. Klapaftis, and Suresh Manandhar. "Reviewing and Evaluating Automatic Term Recognition Techniques." In Advances in Natural Language Processing, 248–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85287-2_24.
Повний текст джерелаBouamor, Houda, Aurélien Max, and Anne Vilnat. "Comparison of Paraphrase Acquisition Techniques on Sentential Paraphrases." In Advances in Natural Language Processing, 67–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14770-8_9.
Повний текст джерелаRodzin, Sergey, Victoria Bova, Yury Kravchenko, and Lada Rodzina. "Deep Learning Techniques for Natural Language Processing." In Artificial Intelligence Trends in Systems, 121–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09076-9_11.
Повний текст джерелаChang, Yi, Hongbo Xu, and Shuo Bai. "A Re-examination of IR Techniques in QA System." In Natural Language Processing – IJCNLP 2004, 71–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30211-7_8.
Повний текст джерелаDíaz, Isabel, Lidia Moreno, Inmaculada Fuentes, and Oscar Pastor. "Integrating Natural Language Techniques in OO-Method." In Computational Linguistics and Intelligent Text Processing, 560–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30586-6_60.
Повний текст джерелаKozareva, Zornitsa, and Andrés Montoyo. "Paraphrase Identification on the Basis of Supervised Machine Learning Techniques." In Advances in Natural Language Processing, 524–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11816508_52.
Повний текст джерелаFernandez, Izaskun, Yolanda Lekuona, Ruben Ferreira, Santiago Fernández, and Aitor Arnaiz. "Sentiment Analysis Techniques for Positive Language Development." In Natural Language Processing and Information Systems, 172–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07983-7_24.
Повний текст джерелаOpdahl, Andreas L. "Knowledge Graphs and Natural-Language Processing." In Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 75–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48099-8_4.
Повний текст джерелаТези доповідей конференцій з теми "Natural language processing techniques"
Kaur, Kamaldeep. "Topic tracking techniques for natural language processing." In the International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2007052.2007066.
Повний текст джерелаShinu, Ashmy Achu, V. Keerthi, Madhav Manoj, Muhammed Shaheer, Namitha S. Nair, and Ansamma John. "Customized Alumni Portal implementing Natural Language Processing Techniques." In 2019 International Conference on Intelligent Computing and Control Systems (ICCS). IEEE, 2019. http://dx.doi.org/10.1109/iccs45141.2019.9065320.
Повний текст джерелаSingh, Jyotika. "Social Media Analysis using Natural Language Processing Techniques." In Python in Science Conference. SciPy, 2021. http://dx.doi.org/10.25080/majora-1b6fd038-009.
Повний текст джерелаArbaaeen, Ammar, and Asadullah Shah. "Natural Language Processing based Question Answering Techniques: A Survey." In 2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS). IEEE, 2020. http://dx.doi.org/10.1109/icetas51660.2020.9484290.
Повний текст джерелаPatten, Terry, Catherine Call, Daniel Mitchell, Jason Taylor, and Samuel Lasser. "Defining the Malice Space with Natural Language Processing Techniques." In 2016 Cybersecurity Symposium (CYBERSEC). IEEE, 2016. http://dx.doi.org/10.1109/cybersec.2016.015.
Повний текст джерелаRadulescu, Cristina, Mihaela Dinsoreanu, and Rodica Potolea. "Identification of spam comments using natural language processing techniques." In 2014 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE, 2014. http://dx.doi.org/10.1109/iccp.2014.6936976.
Повний текст джерелаJeschke, Sabina, Nicole Natho, Sebastian Rittau, and Marc Wilke. "mArachna - Applying Natural Language Processing Techniques to Ontology Engineering." In Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icalt.2007.185.
Повний текст джерелаMcCoy, Kathleen, Patrick Demasco, Mark Jones, Christopher Pennington, and Charles Rowe. "Applying natural language processing techniques to augmentative communication systems." In the 13th conference. Morristown, NJ, USA: Association for Computational Linguistics, 1990. http://dx.doi.org/10.3115/991146.991235.
Повний текст джерелаIyer, Gish, and McCarthy. "Unsupervised training techniques for natural language call routing." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004770.
Повний текст джерелаPan, Yuran, Qiangwen Xu, and Yanjun Li. "Food Recipe Alternation and Generation with Natural Language Processing Techniques." In 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2020. http://dx.doi.org/10.1109/icdew49219.2020.000-1.
Повний текст джерелаЗвіти організацій з теми "Natural language processing techniques"
Li, Eliot, Charles Nicholas, Tim Oates, and Raman K. Mehra. Intelligent Record Linkage Techniques Based on Information Retrieval, Natural Language Processing, and Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada408937.
Повний текст джерелаFurey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41960.
Повний текст джерелаSteedman, Mark. Natural Language Processing. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada290396.
Повний текст джерелаTratz, Stephen C. Arabic Natural Language Processing System Code Library. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada603814.
Повний текст джерелаWilks, Yorick, Michael Coombs, Roger T. Hartley, and Dihong Qiu. Active Knowledge Structures for Natural Language Processing. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada245893.
Повний текст джерелаFirpo, M. Natural Language Processing as a Discipline at LLNL. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/15015192.
Повний текст джерелаAnderson, Thomas. State of the Art of Natural Language Processing. Fort Belvoir, VA: Defense Technical Information Center, November 1987. http://dx.doi.org/10.21236/ada188112.
Повний текст джерелаHobbs, Jerry R., Douglas E. Appelt, John Bear, Mabry Tyson, and David Magerman. Robust Processing of Real-World Natural-Language Texts. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada258837.
Повний текст джерелаNeal, Jeannette G., Elissa L. Feit, Douglas J. Funke, and Christine A. Montgomery. An Evaluation Methodology for Natural Language Processing Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada263301.
Повний текст джерелаLehnert, Wendy G. Using Case-Based Reasoning in Natural Language Processing. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada273538.
Повний текст джерела