Book icon with persian name of Pubnito
  • Store
  • Library
  • Your Cart


    Total Items:0

    View Cart

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

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

    Youddha Beer SinghAditya Dev Mishra

    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 readers Ideal 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. Readership Researchers, students, and professionals in computer science and related fields (AI, ML, NLP and computational linguistics).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 readers Ideal 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. Readership Researchers, students, and professionals in computer science and related fields (AI, ML, NLP and computational linguistics).

    Book Format

    Book License

    $ 79.00

    Reviews

    Rating Snapshot

    Select a row below to filter reviews.

    0

    0

    0

    0

    0

    0

    Overall

    Average Customer Ratings

    Review for this Book

    Share your thoughts with other readers

    More Information

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

    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

    Additional Information

    Vendor

    Publish Date

    2024 Aug 12

    Authors
    Youddha Beer SinghAditya Dev Mishra

    ISBN

    9789815238488

    About the authors

    Youddha Beer Singh
    Youddha Beer Singh
      Youddha Beer Singh
      Aditya Dev Mishra
      Aditya Dev Mishra
      Aditya Dev Mishra

      Table of content

      logo

      English

      Powered by PUBNiTO | © 2024 Notion Wave Inc.