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| Title | Natural Language Processing |
| Author | Pushpak Bhattacharyya, Aditya Joshi |
| ISBN-13 | 9789357462389 |
| Publication | WILEY |
Striking a balance between foundational insights and applications, the book introduces three generations of NLP—rule-based, statistical, and neural—and approaches in these generations to NLP tasks such as shallow and deep parsing, machine translation, sentiment analysis, summarization, question-answering, and many more. In addition, chapters on large language models, shared tasks, and research dissemination serve as a solid foundation for readers to start their NLP journey. Significant focus has been given to NLP-based solutions which are increasingly finding applications in several domains.
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Striking a balance between foundational insights and applications, the book introduces three generations of NLP—rule-based, statistical, and neural—and approaches in these generations to NLP tasks such as shallow and deep parsing, machine translation, sentiment analysis, summarization, question-answering, and many more. In addition, chapters on large language models, shared tasks, and research dissemination serve as a solid foundation for readers to start their NLP journey. Significant focus has been given to NLP-based solutions which are increasingly finding applications in several domains.
Pushpak Bhattacharyya, Aditya Joshi is the author of Natural Language Processing.
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| Title | Natural Language Processing |
| Author | Pushpak Bhattacharyya, Aditya Joshi |
| ISBN-13 | 9789357462389 |
| Publication | WILEY |
Striking a balance between foundational insights and applications, the book introduces three generations of NLP—rule-based, statistical, and neural—and approaches in these generations to NLP tasks such as shallow and deep parsing, machine translation, sentiment analysis, summarization, question-answering, and many more. In addition, chapters on large language models, shared tasks, and research dissemination serve as a solid foundation for readers to start their NLP journey. Significant focus has been given to NLP-based solutions which are increasingly finding applications in several domains.