Real-world natural language processing

Real-world natural language processing

by HAGIWARA, MASATO

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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! The 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 assitants, text generation and more. "Real-world natural language processing" shows you how to build…

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Title Statements

  • Full title :Real-world natural language processing / Masato Hagiwara.

Summary

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! The 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 assitants, text generation and more. "Real-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.

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Edition Statements

  • Publication Date:©2021

Publication Statements

  • Publisher(s):Manning Publications
  • Place of Publication:Shelter Island, NY
  • Language:eng
  • Publication Date:©2021

Notes

Includes index.

The Physical Object

  • Description:xviii, 316 pages : : illustrations ; : 23 cm

Edition Identifiers

  • ISBN:9781617296420, 1617296422
  • oclc:on1285707530
  • LC Classification:QA76.9.N38
  • Dewey Decimal:006.35

Table of Contents

1. Introduction to natural language processing -- 2. Your first NLP application -- 3. Word and document embeddings -- 4. Sentence classification -- 5. Sequential labeling and language modeling -- 6. Sequence-to-sequence models -- 7. Convolutional neural networks -- 8. Attention and transformer -- 9. Transfer learning with pretrained language models -- 10. Best practices in developing NLP applications -- Deploying and serving NLP applications.

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Subjects

Natural Language Processing Natural language processing (Computer s… Traitement automatique des langues natu…

Writers

HAGIWARA, MASATO

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