{ "item_title" : "Real-World Natural Language Processing", "item_author" : [" Masato Hagiwara "], "item_description" : "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 applicationsCreate named entity taggersBuild machine translation systemsConstruct language generation systems and chatbotsUse 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 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 applicationsCreate named entity taggersBuild machine translation systemsConstruct language generation systems and chatbots About 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. Table of ContentsPART 1 BASICS1 Introduction to natural language processing2 Your first NLP application3 Word and document embeddings4 Sentence classification5 Sequential labeling and language modelingPART 2 ADVANCED MODELS6 Sequence-to-sequence models7 Convolutional neural networks8 Attention and Transformer9 Transfer learning with pretrained language modelsPART 3 PUTTING INTO PRODUCTION10 Best practices in developing NLP applications11 Deploying and serving NLP applications", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/61/729/642/1617296422_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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