Masato Hagiwara: Real-World Natural Language Processing, Manning Publications

Web Name: Masato Hagiwara: Real-World Natural Language Processing, Manning Publications






Masato Hagiwara

Real-World Natural Language Processing

Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. 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.

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Sample Articles

Training a Sentiment Analyzer using AllenNLP (in less than 100 lines of Python code)

Sentiment Analysis

Building Seq2Seq Machine Translation Models using AllenNLP

Machine Translation

A Gentle Introduction to Skip-gram (word2vec) Model — AllenNLP ver.

Word Embeddings

Improving a Sentiment Analyzer using ELMo — Word Embeddings on Steroids

Sentiment Analysis, ELMo

How to Convert an AllenNLP model and Deploy on Caffe2 and TensorFlow

Part-of-Speech Tagging

Training a Shakespeare Reciting Monkey using RL and SeqGAN

Text Generation

More Articles

About the book

Real-World NLP is not a typical NLP book

Unlike many online tutorials and textbooks, you won't learn how to write the backpropagation algorithm or activation layers. In fact, there are no mathematical formulae in this book. Not a single one. Instead, you'll quickly learn how to build practical NLP applications such as sentiment analyzers and spelling correctors and how to deploy them in production. You'll also learn the basic building blocks of neural networks and how to combine them to solve your own NLP problems. Thanks to powerful NLP frameworks such as AllenNLP and fairseq, this has never been easier.!

As a reader of this book, you'll want to be already familiar with the Python programming language and its ecosystem. But you don't need to have any prior knowledge of machine learning or natural language processing. In this book, I take a top-down approach, where we first focus on building a working NLP application quickly, and then related concepts are introduced as needed.


The book covers important topics for modern NLP, including RNNs and Seq2Seq models.


You can learn to build practical NLP applications within the first few chapters.

No Math

You don't need to know fancy math to read the book.

State of the Art

The book also covers state-of-the-art NLP models including ELMo and BERT.

About the Author

Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.

Contact Info

Author: Masato Hagiwara, Owner & NLP/ML Engineer at Octanove Labs, LLC

Quick Links

Book page at Manning Publications Manning Publications More about the author Octanove Labs

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