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A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing: Volume 2

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Title: A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing: Volume 2
Description: This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications.Highlights:- Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications.- Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP.- Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning.- Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges.Key Features:- Comprehensive coverage of NLP and deep learning integration.- Practical insights into real-world applications- Detailed exploration of recent research and advancements through 16 easy to read chapters- References and notes on experimental methods used for advanced readersIdeal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.
Authors: Youddha, Beer Singh, Aditya, Dev Mishra, Pushpa, Singh, Dileep, Kumar Yadav
Resource Type: eBook.
Subjects: Computers, Natural language processing (Computer science), Artificial intelligence, Electronic books, Speech processing systems
Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing
Database: eBook Collection (EBSCOhost)
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  Data: A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing: Volume 2
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  Data: This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications.Highlights:- Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications.- Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP.- Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning.- Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges.Key Features:- Comprehensive coverage of NLP and deep learning integration.- Practical insights into real-world applications- Detailed exploration of recent research and advancements through 16 easy to read chapters- References and notes on experimental methods used for advanced readersIdeal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.
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              M: 01
              Type: published
              Y: 2024
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