Real-World Natural Language Processing shows you how to build the Practical NLP Applications that are transforming the way humans and computers work together.
Table of Contents PART 1 BASICS 1 Introduction to Natural la.
He now runs his own research and consulting company.
He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer.
About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009.
No prior machine Learning knowledge assumed.
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.
Along the way, you\'ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process.
Guided by clear explanations of each core NLP topic, you\'ll create many interesting Applications including a sentiment analyzer and a chatbot.
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.
This unique book offers an innovative collection of NLP techniques with Applications in machine translation, voice assistants, text generation, and more.
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.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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.
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.
Real-World Natural Language Processing shows you how to build the Practical NLP Applications that are transforming the way humans and computers work together
