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Books on the topic 'Natural language processing techniques'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Perez-Marin, Diana. Conversational agents and natural language interaction: Techniques and effective practices. Information Science Reference, 2011.

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2

American Association for Artificial Intelligence. and AAAI Workshop (1992 : Stanford, California), eds. Statistically-based natural language programming techniques: Papers from the 1992 AAAI Workshop, March 25-27, Stanford University. AAAI Press, 1992.

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3

Harrington, Jonathan. Techniques in speech acoustics. Kluwer Academic Publishers, 1999.

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4

C, Rothman Raymond. Programming in your words, expert or novice: With any database program, custom-make your programs, linguistic technique, filing and accounting system. Database Users & Information Managers International, 1988.

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5

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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6

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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7

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

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8

Boschetti Adamczyk, Willian, Verónica Escudero, Hannah Liepmann, Simon Boehmer, and Isaure Delaporte. Developing a new method to uncover skills trends in emerging economies using online data and NLP techniques. ILO, 2025. https://doi.org/10.54394/hqqx3200.

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This research brief outlines a novel methodology using online big data and natural language processing (NLP) to analyze transferable skills trends across diverse sectors and countries, offering insights into skills demand, supply, mismatches, and their relationship to job quality and transitions.

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9

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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10

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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11

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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12

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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13

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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14

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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15

Kulkarni, Akshay, and Adarsha Shivananda. Natural Language Processing Recipes. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4267-4.

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16

Shwartz, Steven P. Applied natural language processing. Petrocelli Books, 1987.

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17

Cohen, Kevin Bretonnel, and Dina Demner-Fushman. Biomedical natural language processing. John Benjamins Publishing Company, 2014.

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18

Geert, Adriaens, and Hahn Udo, eds. Parallel natural language processing. Ablex, 1994.

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19

Kumar, Akshi, and Saurabh Raj Sangwan, eds. Transformative Natural Language Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88988-2.

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20

Pilehvar, Mohammad Taher, and Jose Camacho-Collados. Embeddings in Natural Language Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02177-0.

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21

Bojar, Ondřej, Satya Ranjan Dash, Shantipriya Parida, Esaú Villatoro Tello, and Biswaranjan Acharya. Natural Language Processing in Healthcare. CRC Press, 2022. http://dx.doi.org/10.1201/9781003138013.

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22

Loftsson, Hrafn, Eiríkur Rögnvaldsson, and Sigrún Helgadóttir, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14770-8.

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23

Isahara, Hitoshi, and Kyoko Kanzaki, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33983-7.

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24

Fomichov A., Vladimir. Semantics-Oriented Natural Language Processing. Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-72926-8.

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25

Mishra, Abhijit, and Pushpak Bhattacharyya. Cognitively Inspired Natural Language Processing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1516-9.

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26

Dale, Robert, Kam-Fai Wong, Jian Su, and Oi Yee Kwong, eds. Natural Language Processing – IJCNLP 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562214.

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27

Jones, Karen Sparck, and Julia R. Galliers, eds. Evaluating Natural Language Processing Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/bfb0027470.

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28

Przepiórkowski, Adam, and Maciej Ogrodniczuk, eds. Advances in Natural Language Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10888-9.

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29

Ranchhod, Elisabete, and Nuno J. Mamede, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45433-0.

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30

Christodoulakis, Dimitris N., ed. Natural Language Processing — NLP 2000. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45154-4.

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31

Marciniak, Małgorzata, and Agnieszka Mykowiecka, eds. Aspects of Natural Language Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04735-0.

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32

Nordström, Bengt, and Aarne Ranta, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85287-2.

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33

Salakoski, Tapio, Filip Ginter, Sampo Pyysalo, and Tapio Pahikkala, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11816508.

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34

Vicedo, José Luis, Patricio Martínez-Barco, Rafael Muńoz, and Maximiliano Saiz Noeda, eds. Advances in Natural Language Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b101638.

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35

Su, Keh-Yih, Jun’ichi Tsujii, Jong-Hyeok Lee, and Oi Yee Kwong, eds. Natural Language Processing – IJCNLP 2004. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b105612.

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36

Indurkhya, Nitin. Handbook of natural language processing. Chapman & Hall/CRC, 2010.

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37

Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing. Packt Publishing - ebooks Account, 2017.

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38

Basili, Robert, Maria Teresa Pazienza, and Paola Velardi. Lexical Acquisition for Real Natural Language Processing Systems: Integrating Knowledge-based and Statistical Techniques (Studies in Natural Language Processing). Cambridge University Press, 2004.

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39

Nerbonne, John. Natural Language Processing in Computer-Assisted Language Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0037.

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This article examines the application of natural language processing to computer-assisted language learning (CALL) including the history of work in this field over the last thirtyfive years and focuses on current developments and opportunities. It always refers to programs designed to help people learn foreign languages. CALL is a large field — much larger than computational linguistics. This article outlines the areas of CALL to which computational linguistics (CL) can be applied. CL programs process natural languages such as English and Spanish, and the techniques are therefore often referre

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40

Advances in Oriental Document Analysis and Recognition Techniques. World Scientific Publishing Co Pte Ltd, 1999.

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41

Wang, Patrick S. Advances in Oriental Document Analysis and Recognition Techniques. World Scientific Publishing Co Pte Ltd, 1999.

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42

Kulkarni, Akshay, Adarsha Shivananda, and Anoosh Kulkarni. Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques. Apress L. P., 2021.

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43

Weir, Carl. Statistically-Based Natural Language Programming Techniques: Papers from the 1992 Workshop (Technical Reports). AAAI Press, 1993.

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44

Polkowski, Lech, and Sankar Kumar Pal. Rough-Neural Computing: Techniques for Computing with Words. Springer, 2012.

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45

Rough-neural computing: Techniques for computing with words. Springer, 2003.

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46

Hussain, Amir, Erik Cambria, and Ranjan Satapathy. Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Springer, 2019.

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47

Hussain, Amir, Erik Cambria, and Ranjan Satapathy. Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications. Springer, 2018.

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48

(Editor), S. W. Lee, Yuan Yan Tang (Editor), and P. S. P. Wang (Editor), eds. Advances in Oriental Document Analysis and Recognition Techniques (Series in Machine Perception and Artificial Intelligence , Vol 33). World Scientific Publishing Company, 1999.

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49

Ghavami, Peter. Big Data Analytics Methods: Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing. De Gruyter, Inc., 2019.

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50

Big Data Analytics Methods: Analytics Techniques in Data Mining, Deep Learning and Natural Language Processing. DEG Press, 2019.

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