Real-World Natural Language Processing: Practical Applications with Deep Learning
暫譯: 實用自然語言處理：深度學習的實際應用

Hagiwara, Masato

Real-World Natural Language Processing: Practical Applications with Deep Learning

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商品描述

Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq--without getting bogged down in complex language theory and the mathematics of deep learning.

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. In Real-World Natural Language Processing, you'll explore the core tools and techniques required to build a huge range of powerful NLP apps.

Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq--without getting bogged down in complex language theory and the mathematics of deep learning. You'll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you'll use in all different kinds of NLP programs. By the time you're done, you'll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems.

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

商品描述(中文翻譯)

《實務自然語言處理》教你如何使用 Python 和開源自然語言處理庫（如 AllenNLP 和 Fairseq）來創建實用的 NLP 應用，而不會陷入複雜的語言理論和深度學習的數學中。

語音助手、自動化客服代理以及其他尖端的人機互動依賴於準確解釋書面和口語的語言。在《實務自然語言處理》中，你將探索構建各種強大 NLP 應用所需的核心工具和技術。

《實務自然語言處理》教你如何使用 Python 和開源自然語言處理庫（如 AllenNLP 和 Fairseq）來創建實用的 NLP 應用，而不會陷入複雜的語言理論和深度學習的數學中。你將從創建一個完整的情感分析器開始，然後深入每個組件，以解鎖你在各種 NLP 程式中使用的基本構建塊。當你完成時，你將具備創建命名實體標註器、機器翻譯系統、拼寫校正器和語言生成系統的技能。

購買印刷版書籍可獲得 Manning Publications 提供的免費電子書，格式包括 PDF、Kindle 和 ePub。

作者簡介

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.

作者簡介(中文翻譯)

萩原雅人於2009年獲得名古屋大學的計算機科學博士學位，專注於自然語言處理和機器學習。他曾在Google和Microsoft Research實習，並在百度日本、Duolingo和樂天技術研究所工作。目前，他經營自己的顧問公司，為包括初創企業和研究機構在內的客戶提供建議。

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