(Ebook) Real-World Natural Language Processing by Masato Hagiwara ISBN 9781617296420, 1617296422
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 learningReal-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.About the technologyTraining 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 bookReal-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 chatbotsAbout the readerFor Python programmers. No prior machine learning knowledge assumed.About the authorMasato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company.
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