Academic literature on the topic 'Natural language processing techniques'
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Journal articles on the topic "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.
Full textValiyev, 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.
Full textPujeri, 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.
Full textH.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.
Full textRadev, 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.
Full textKorycinski, 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.
Full textPanchal, 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.
Full textJain, 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.
Full textFairie, 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.
Full textNohria, 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.
Full textDissertations / Theses on the topic "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/.
Full textHarmain, 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.
Full textCaliff, Mary Elaine. "Relational learning techniques for natural language information extraction /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.
Full textEyecioglu, Ozmutlu Asli. "Paraphrase identification using knowledge-lean techniques." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/65497/.
Full textChong, 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.
Full textAl, Qady Mohammed Abdelrahman. "Concept relation extraction using natural language processing the CRISP technique /." [Ames, Iowa : Iowa State University], 2008.
Find full textBjörner, 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.
Full textAktörer 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.
Full textMaster 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.
Full textAntici, 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/.
Full textBooks on the topic "Natural language processing techniques"
Perez-Marin, Diana. Conversational agents and natural language interaction: Techniques and effective practices. Hershey, PA: Information Science Reference, 2011.
Find full textHarrington, Jonathan. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.
Find full text1952-, Cassidy Steve, ed. Techniques in speech acoustics. Dordrecht: Kluwer Academic Publishers, 1999.
Find full textC, 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.
Find full textNatural language processing. Oxford, OX: Blackwell Scientific Publications, 1988.
Find full textFilgueiras, 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.
Full textShwartz, Steven P. Applied natural language processing. Princeton, N.J: Petrocelli Books, 1987.
Find full textCohen, Kevin Bretonnel, and Dina Demner-Fushman. Biomedical natural language processing. Amsterdam: John Benjamins Publishing Company, 2014.
Find full textKulkarni, Akshay, and Adarsha Shivananda. Natural Language Processing Recipes. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7351-7.
Full textKulkarni, 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.
Full textBook chapters on the topic "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.
Full textFujita, 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.
Full textKorkontzelos, 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.
Full textBouamor, 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.
Full textRodzin, 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.
Full textChang, 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.
Full textDíaz, 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.
Full textKozareva, 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.
Full textFernandez, 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.
Full textOpdahl, 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.
Full textConference papers on the topic "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.
Full textShinu, 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.
Full textSingh, 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.
Full textArbaaeen, 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.
Full textPatten, 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.
Full textRadulescu, 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.
Full textJeschke, 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.
Full textMcCoy, 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.
Full textIyer, 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.
Full textPan, 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.
Full textReports on the topic "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.
Full textFurey, 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.
Full textSteedman, Mark. Natural Language Processing. Fort Belvoir, VA: Defense Technical Information Center, June 1994. http://dx.doi.org/10.21236/ada290396.
Full textTratz, 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.
Full textWilks, 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.
Full textFirpo, 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.
Full textAnderson, 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.
Full textHobbs, 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.
Full textNeal, 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.
Full textLehnert, 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.
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