INTRODUCTION TO NATURAL LANGUAGE PROCESSING /

"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first...

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Main Author: Eisenstein, Jacob, author 655260
Format: text
Language:eng
Published: Cambridge, Massachusetts : The MIT Press, [201
Subjects:
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author Eisenstein, Jacob, author 655260
author_facet Eisenstein, Jacob, author 655260
author_sort Eisenstein, Jacob, author 655260
collection OCEAN
description "The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--
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spelling KOHA-OAI-TEST:6118942024-11-15T07:55:33ZINTRODUCTION TO NATURAL LANGUAGE PROCESSING / Eisenstein, Jacob, author 655260 textCambridge, Massachusetts : The MIT Press,[2019]©2019eng"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--Includes bibliographical and references"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--Natural language processing (Computer science)URN:ISBN:9780262042840
spellingShingle Natural language processing (Computer science)
Eisenstein, Jacob, author 655260
INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title_full INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title_fullStr INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title_full_unstemmed INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title_short INTRODUCTION TO NATURAL LANGUAGE PROCESSING /
title_sort introduction to natural language processing
topic Natural language processing (Computer science)
work_keys_str_mv AT eisensteinjacobauthor655260 introductiontonaturallanguageprocessing