Real-World Natural Language Processing

  • 5h 51m
  • Masato Hagiwara
  • Manning Publications
  • 2021

Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together.

In Real-world Natural Language Processing you will learn how to:

  • Design, develop, and deploy useful NLP applications
  • Create named entity taggers
  • Build machine translation systems
  • Construct language generation systems and chatbots
  • Use advanced NLP concepts such as attention and transfer learning

Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology

Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more.

About the book

Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process.

What's inside

  • Design, develop, and deploy useful NLP applications
  • Create named entity taggers
  • Build machine translation systems
  • Construct language generation systems and chatbots

About the reader

For Python programmers. No prior machine learning knowledge assumed.

In this Book

  • About This Book
  • Introduction to Natural Language Processing
  • Your First NLP Application
  • Word and Document Embeddings
  • Sentence Classification
  • Sequential Labeling and Language Modeling
  • Sequence-to-Sequence Models
  • Convolutional Neural Networks
  • Attention and Transformer
  • Transfer Learning with Pretrained Language Models
  • Best Practices in Developing NLP Applications
  • Deploying and Serving NLP Applications
SHOW MORE
FREE ACCESS

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