Academic literature on the topic 'Natural Language Processing'

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Journal articles on the topic "Natural Language Processing"

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Patel, Stuti. "Natural Language Processing." International Journal of Science and Research (IJSR) 12, no. 2 (2023): 1123–29. http://dx.doi.org/10.21275/sr23216193027.

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Lone, Nawaz Ali, Kaiser J. Giri, and Rumaan Bashir. "Natural Language Processing Resources for the Kashmiri Language." Indian Journal Of Science And Technology 15, no. 43 (2022): 2275–81. http://dx.doi.org/10.17485/ijst/v15i43.1964.

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Kumar, Deepak, Dr Amandeep, Pinki Pinki, et al. "Visualization by Natural Language Processing and Large Language Model." International Journal of Research Publication and Reviews 6, no. 6 (2025): 11225–31. https://doi.org/10.55248/gengpi.6.0625.2340.

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Niimi, Akio. "Natural Language Processing." Chest 159, no. 6 (2021): 2149–50. http://dx.doi.org/10.1016/j.chest.2021.01.045.

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HASHIDA, KOICHI. "Natural Language Processing." Journal of the Institute of Electrical Engineers of Japan 121, no. 3 (2001): 195–98. http://dx.doi.org/10.1541/ieejjournal.121.195.

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N. O. Sadiku, Matthew, Yu Zhou, and Sarhan M. Musa. "Natural Language Processing." International Journal of Advances in Scientific Research and Engineering 4, no. 5 (2018): 68–70. http://dx.doi.org/10.31695/ijasre.2018.32708.

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Covington, Michael A., Fernando C. N. Pereira, and Barbara J. Grosz. "Natural Language Processing." Language 71, no. 3 (1995): 652. http://dx.doi.org/10.2307/416262.

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Jain, Aditya, Gandhar Kulkarni, and Vraj Shah. "Natural Language Processing." International Journal of Computer Sciences and Engineering 6, no. 1 (2018): 161–67. http://dx.doi.org/10.26438/ijcse/v6i1.161167.

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Yilmaz, A. Egemen. "Natural Language Processing." International Journal of Systems and Service-Oriented Engineering 4, no. 1 (2014): 68–83. http://dx.doi.org/10.4018/ijssoe.2014010105.

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Requirement analysis is the very first and crucial step in the software development processes. On the other hand, as previously addressed by other researchers, it is the Achilles' heel of the whole process since the requirements lie on the problem space, whereas other software artifacts are on the solution space. Stating the requirements in a clear manner eases the following steps in the process as well as reducing the number of potential errors. In this paper, techniques for the improvement of the requirements expressed in the natural language are revisited. These techniques try to check the
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Weischedel, R., J. Carbonell, B. Grosz, et al. "Natural Language Processing." Annual Review of Computer Science 4, no. 1 (1990): 435–52. http://dx.doi.org/10.1146/annurev.cs.04.060190.002251.

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Dissertations / Theses on the topic "Natural Language Processing"

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Matsubara, Shigeki. "Corpus-based Natural Language Processing." INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2004. http://hdl.handle.net/2237/10355.

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Smith, Sydney. "Approaches to Natural Language Processing." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1817.

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This paper explores topic modeling through the example text of Alice in Wonderland. It explores both singular value decomposition as well as non-­‐‑negative matrix factorization as methods for feature extraction. The paper goes on to explore methods for partially supervised implementation of topic modeling through introducing themes. A large portion of the paper also focuses on implementation of these techniques in python as well as visualizations of the results which use a combination of python, html and java script along with the d3 framework. The paper concludes by presenting a mixture of S
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Strandberg, Aron, and Patrik Karlström. "Processing Natural Language for the Spotify API : Are sophisticated natural language processing algorithms necessary when processing language in a limited scope?" Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186867.

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Knowing whether you can implement something complex in a simple way in your application is always of interest. A natural language interface is some- thing that could theoretically be implemented in a lot of applications but the complexity of most natural language processing algorithms is a limiting factor. The problem explored in this paper is whether a simpler algorithm that doesn’t make use of convoluted statistical models and machine learning can be good enough. We implemented two algorithms, one utilizing Spotify’s own search and one with a more accurate, o✏ine search. With the best precis
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Chen, Joseph C. H. "Quantum computation and natural language processing." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965581020.

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Knight, Sylvia Frances. "Natural language processing for aerospace documentation." Thesis, University of Cambridge, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621395.

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Naphtal, Rachael (Rachael M. ). "Natural language processing based nutritional application." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100640.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 67-68).<br>The ability to accurately and eciently track nutritional intake is a powerful tool in combating obesity and other food related diseases. Currently, many methods used for this task are time consuming or easily aban
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Eriksson, Simon. "COMPARING NATURAL LANGUAGE PROCESSING TO STRUCTURED QUERY LANGUAGE ALGORITHMS." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163310.

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Using natural language processing to create Structured Query Language (SQL) queries has many benefi€ts in theory. Even though SQL is an expressive and powerful language it requires certain technical knowledge to use. An interface effectively utilizing natural language processing would instead allow the user to communicate with the SQL database as if they were communicating with another human being. In this paper I compare how two of the currently most advanced open source algorithms (TypeSQL and SyntaxSQL) in this €field can understandadvanced SQL. I show that SyntaxSQL is signi€cantly more ac
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Kesarwani, Vaibhav. "Automatic Poetry Classification Using Natural Language Processing." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37309.

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Poetry, as a special form of literature, is crucial for computational linguistics. It has a high density of emotions, figures of speech, vividness, creativity, and ambiguity. Poetry poses a much greater challenge for the application of Natural Language Processing algorithms than any other literary genre. Our system establishes a computational model that classifies poems based on similarity features like rhyme, diction, and metaphor. For rhyme analysis, we investigate the methods used to classify poems based on rhyme patterns. First, the overview of different types of rhymes is given along
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Pham, Son Bao Computer Science &amp Engineering Faculty of Engineering UNSW. "Incremental knowledge acquisition for natural language processing." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/26299.

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Linguistic patterns have been used widely in shallow methods to develop numerous NLP applications. Approaches for acquiring linguistic patterns can be broadly categorised into three groups: supervised learning, unsupervised learning and manual methods. In supervised learning approaches, a large annotated training corpus is required for the learning algorithms to achieve decent results. However, annotated corpora are expensive to obtain and usually available only for established tasks. Unsupervised learning approaches usually start with a few seed examples and gather some statistics based on a
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張少能 and Siu-nang Bruce Cheung. "A concise framework of natural language processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1989. http://hub.hku.hk/bib/B31208563.

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Books on the topic "Natural Language Processing"

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Filgueiras, M., L. Damas, N. Moreira, and A. P. Tomás, eds. Natural Language Processing. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-53678-7.

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Lee, Raymond S. T. Natural Language Processing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-1999-4.

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Lee, Raymond. Natural Language Processing. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3208-4.

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Zitouni, Imed, ed. Natural Language Processing of Semitic Languages. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45358-8.

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Kulkarni, Akshay, and Adarsha Shivananda. Natural Language Processing Recipes. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7351-7.

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Kulkarni, Akshay, Adarsha Shivananda, and Anoosh Kulkarni. Natural Language Processing Projects. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7386-9.

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Søgaard, Anders. Explainable Natural Language Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02180-0.

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Tapsai, Chalermpol, Herwig Unger, and Phayung Meesad. Thai Natural Language Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56235-9.

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Oflazer, Kemal, and Murat Saraçlar, eds. Turkish Natural Language Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90165-7.

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Sharkey, Noel, ed. Connectionist Natural Language Processing. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2624-3.

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Book chapters on the topic "Natural Language Processing"

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Brill, Eric. "Processing Natural Language without Natural Language Processing." In Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36456-0_37.

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Morgan, David P., and Christopher L. Scofield. "Natural Language Processing." In Neural Networks and Speech Processing. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3950-6_8.

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Mizoguchi, Fumio. "Natural language processing." In Prolog and its Applications. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-7144-9_4.

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Bhattacharjee, Joydeep. "Natural Language Processing." In Practical Machine Learning with Rust. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5121-8_5.

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Lee, Raymond S. T. "Natural Language Processing." In Artificial Intelligence in Daily Life. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7695-9_6.

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Arnold, Taylor, and Lauren Tilton. "Natural Language Processing." In Quantitative Methods in the Humanities and Social Sciences. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20702-5_9.

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Linckels, Serge, and Christoph Meinel. "Natural Language Processing." In X.media.publishing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17743-9_4.

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Akerkar, Rajendra. "Natural Language Processing." In Artificial Intelligence for Business. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97436-1_5.

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Chowdhary, K. R. "Natural Language Processing." In Fundamentals of Artificial Intelligence. Springer India, 2020. http://dx.doi.org/10.1007/978-81-322-3972-7_19.

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Kumar, Rohit. "Natural Language Processing." In Machine Learning and Cognition in Enterprises. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-3069-5_5.

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Conference papers on the topic "Natural Language Processing"

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Alidema, Enda, Trime Ismajli, Jetmir Gjoni, and Eliot Bytyçi. "Natural Language Processing in Albanian Language." In 2025 13th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2025. https://doi.org/10.1109/icicip64458.2025.10898126.

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Bode, Shraddha P., and Reena S. Satpute. "Natural Language Processing in Education System." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). IEEE, 2024. https://doi.org/10.1109/idicaiei61867.2024.10842725.

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Iskandarova, Sharifa, Umidjon Kuziyev, Dilmurod Ashurov, and Dilafruzkhon Rakhmatullayeva. "Advancing Natural Language Processing: Beyond Embeddings." In 2024 International Conference on IoT, Communication and Automation Technology (ICICAT). IEEE, 2024. https://doi.org/10.1109/icicat62666.2024.10923033.

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Deshpande, Sudhindra B., K. Sundara Velrani, A. Bhagyalakshmi, M. Sowmya Vani, S. N. Ananthi, and Devika Sahu. "Neural Networks for Natural Language Processing." In 2024 Asian Conference on Intelligent Technologies (ACOIT). IEEE, 2024. https://doi.org/10.1109/acoit62457.2024.10939556.

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Joseph, Shenson, Ashkok Gadi Parthi, Durgaraman Maruthavanan, Vivekananda Jayaram, Prema Kumar Veerapaneni, and Vidyasagar Parlapalli. "Transfer Learning in Natural Language Processing." In 2024 7th International Conference on Information and Communications Technology (ICOIACT). IEEE, 2024. https://doi.org/10.1109/icoiact64819.2024.10912895.

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Salau, Ayodeji Olalekan, Esuku Dickson Emmanuel, Ahmed Alemran, Chandra Kumar Dixit, and Sepiribo Lucky Braide. "Exploring Large Language Models for Natural Language Processing." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877621.

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Gelbukh, A. "Natural language processing." In Fifth International Conference on Hybrid Intelligent Systems (HIS'05). IEEE, 2005. http://dx.doi.org/10.1109/ichis.2005.79.

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"Natural language processing." In 2015 International Symposium on Advanced Computing and Communication (ISACC). IEEE, 2015. http://dx.doi.org/10.1109/isacc.2015.7377321.

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"Natural language processing." In 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004. IEEE, 2004. http://dx.doi.org/10.1109/inmic.2004.1492945.

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Schank, Roger, and Alex Kass. "Natural language processing." In the 1987 workshop. Association for Computational Linguistics, 1987. http://dx.doi.org/10.3115/980304.980329.

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Reports on the topic "Natural Language Processing"

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Steedman, Mark. Natural Language Processing. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada290396.

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Bergeaud, Antonin, Adam Jaffe, and Dimitris Papanikolaou. Natural Language Processing and Innovation Research. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33821.

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Tratz, Stephen C. Arabic Natural Language Processing System Code Library. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada603814.

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Wilks, Yorick, Michael Coombs, Roger T. Hartley, and Dihong Qiu. Active Knowledge Structures for Natural Language Processing. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada245893.

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Firpo, M. Natural Language Processing as a Discipline at LLNL. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/15015192.

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Anderson, Thomas. State of the Art of Natural Language Processing. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada188112.

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Hobbs, Jerry R., Douglas E. Appelt, John Bear, Mabry Tyson, and David Magerman. Robust Processing of Real-World Natural-Language Texts. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada258837.

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Neal, Jeannette G., Elissa L. Feit, Douglas J. Funke, and Christine A. Montgomery. An Evaluation Methodology for Natural Language Processing Systems. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada263301.

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Lehnert, Wendy G. Using Case-Based Reasoning in Natural Language Processing. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada273538.

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Wallace, Byron C. Sociolinguistically Informed Natural Language Processing: Automating Irony Detection. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada623456.

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