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Books on the topic 'Artificial intelligence in language learning'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Last, R. W. Artificial intelligence techniques in language learning. Ellis Horwood, 1989.

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2

Touretzky, David. Connectionist Approaches to Language Learning. Springer US, 1991.

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3

Gerald, DeJong, ed. Investigating explanation-based learning. Kluwer Academic Publishers, 1993.

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4

EUROCALL 94 (Conference) (Pädagogische Hochschule, Karlsruhe, Germany). Technology-enhanced language learning in theory and practice: Proceedings of EUROCALL 94, Pädagogische Hochschule Karlsruhe, Germany. CTI Centre for Modern Languages, 1994.

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5

O'Neill, Michael. Grammatical evolution: Evolutionary automatic programming in an arbitrary language. Kluwer Academic Publishers, 2004.

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6

Rieser, Verena. Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation. Springer-Verlag Berlin Heidelberg, 2011.

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7

Niyogi, Partha. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar. Springer US, 1998.

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8

Claypole, Maurice. Artificial Intelligence in Autonomous Language Learning. LinguaBooks, 2020.

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9

Artificial intelligence techniques in language learning. E. Horwood, 1989.

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10

Childers, Peter, and Roger C. Schank. The Cognitive Computer: On Language, Learning, & Artificial Intelligence. Addison Wesley Publishing Company, 1985.

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11

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness. Multilingual Matters, 2005.

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12

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness. Multilingual Matters Limited, 2005.

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13

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness. Multilingual Matters, 2005.

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14

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness. Multilingual Matters, 2005.

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15

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness (Second Language Acquisition). Multilingual Matters Limited, 2005.

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16

Dodigovic, Marina. Artificial Intelligence in Second Language Learning: Raising Error Awareness (Second Language Acquisition). Multilingual Matters Limited, 2005.

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17

Statistical language learning. MIT Press, 1993.

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18

Lin, Yankai, Zhiyuan Liu, and Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.

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19

Lin, Yankai, Zhiyuan Liu, and Maosong Sun. Representation Learning for Natural Language Processing. Springer Singapore Pte. Limited, 2020.

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20

Virtual Reality, Artificial Intelligence, and Language Learning: The Need for Attention. Benjamins Publishing Company, John, 2024.

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21

Dimitoglou, George, and Ahmad Tafti. Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models. de Gruyter GmbH, Walter, 2024.

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22

Dimitoglou, George, and Ahmad Tafti. Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models. de Gruyter GmbH, Walter, 2024.

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23

Dimitoglou, George, and Ahmad Tafti. Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models. de Gruyter GmbH, Walter, 2024.

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24

Bonaccorso, Giuseppe, Armando Fandango, and Rajalingappaa Shanmugamani. Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python. Packt Publishing, 2018.

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25

Patel, Devangini. Hands-On Artificial Intelligence for Search: Building intelligent applications and perform enterprise searches. Packt Publishing, 2018.

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26

Joshi, Nisheeth. Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j. Packt Publishing, 2018.

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27

Boden, Margaret A. Artificial Intelligence: A Very Short Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.001.0001.

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The applications of Artificial Intelligence lie all around us and affect all aspects of our lives. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Artificial Intelligence: A Very Short Introduction considers the history of Artificial Intelligence, its successes, its limitatio

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28

Building Machine Learning Projects with TensorFlow. Packt Publishing, 2016.

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29

Maurice, Sebastian. Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka Using Python. Apress L. P., 2021.

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30

Agrawal, Tanay. Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient. Apress L. P., 2020.

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31

Shanmugamani, Rajalingappaa, Sean Saito, and Yang Wenzhuo. Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow. Packt Publishing, 2018.

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32

Python Machine Learning by Example: The Easiest Way to Get into Machine Learning. de Gruyter GmbH, Walter, 2017.

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33

Coelho, Luis Pedro, Willi Richert, and Matthieu Brucher. Building Machine Learning Systems with Python: Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition. Packt Publishing, 2018.

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34

Singh, Pramod, and Avinash Manure. Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python. Apress, 2020.

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35

Singh, Pramod, and Avinash Manure. Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python. Apress, 2020.

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36

Art of Reinforcement Learning: Learn the Fundamentals, Mathematics, and Implementations with Python. Apress L. P., 2023.

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37

Thomas, Sherin, and Sudhanshu Passi. PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily. Packt Publishing, 2019.

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38

Patel, Ankur A. Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data. O'Reilly Media, 2019.

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39

Python Machine Learning by Example: Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems. de Gruyter GmbH, Walter, 2019.

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40

Python Machine Learning by Example: Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition. Packt Publishing, Limited, 2019.

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41

Galitsky, Boris. Developing Enterprise Chatbots: Learning Linguistic Structures. Springer, 2019.

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42

Voulgaris, Zacharias, and Yunus Emrah Bulut. AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond. Technics Publications, 2018.

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43

McClure, Nick. TensorFlow Machine Learning Cookbook: Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition. Packt Publishing - ebooks Account, 2018.

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44

(Editor), Ronald Brachman, and Thomas Dietterich (Editor), eds. Action Programming Languages (Synthesis Lectures on Artificial Intelligence and Machine Learning). Morgan & Claypool Publishers, 2008.

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45

Moroney, Laurence. AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence. O'Reilly Media, Incorporated, 2020.

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46

Shanmugamani, Rajalingappaa, Sean Saito, Yang Wenzhuo, and Sudharsan Ravichandiran. Python Reinforcement Learning: Solve Complex Real-World Problems by Mastering Reinforcement Learning Algorithms Using OpenAI Gym and TensorFlow. Packt Publishing, Limited, 2019.

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47

Bansal, Anshik. AI for Healthcare with Keras and Tensorflow 2. 0: Design, Develop, and Deploy Machine Learning Models Using Healthcare Data. Apress L. P., 2021.

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48

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence. Apress, 2017.

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49

Bateman, Blaine, Benjamin Johnston, Ishita Mathur, and Ashish Ranjan Jha. the Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition. Packt Publishing, Limited, 2020.

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50

Mathur, Puneet. Machine Learning Applications Using Python: Cases Studies from Healthcare, Retail, and Finance. Apress, 2018.

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