The Indexing Companion

The Indexing Companion
Author: Glenda Browne
Publisher: Cambridge University Press
Total Pages: 262
Release: 2007-03-05
Genre: Language Arts & Disciplines
ISBN: 9780521689885


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Indexes are created to help people find information. Indexers work hard to find the best words to describe the topics covered by their books and collections. This book is an aid to decision making in indexing. It aims to look at decisions that indexers have to make everyday. Many book indexers are created by professional indexers, but others are made by authors and editors. Indexing is part of their job for librarians, museum curators, technical writers and subject specialists. The book provides something of value for all indexers.


The Indexing Companion
Language: en
Pages: 262
Authors: Glenda Browne
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2007-03-05 - Publisher: Cambridge University Press

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Indexes are created to help people find information. Indexers work hard to find the best words to describe the topics covered by their books and collections. Th
The Indexing Companion Workbook
Language: en
Pages: 125
Authors: Glenda Browne
Categories: Indexing
Type: BOOK - Published: 2009 - Publisher:

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The Indexing Companion
Language: en
Pages: 270
Authors: Glenda Browne
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2007-04-23 - Publisher: Cambridge University Press

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The Indexing Companion, first published in 2007, gives an overview of indexing for professional indexers, editors, authors, librarians and others who may be cal
Indexing Companion
Language: en
Pages: 249
Authors: Glenda Browne
Categories: Indexing
Type: BOOK - Published: 2007 - Publisher:

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Covers the basic principles of indexing, examines controversial areas and speculates on future directions.
The Complexity Theory Companion
Language: en
Pages: 396
Authors: Lane Hemaspaandra
Categories: Computers
Type: BOOK - Published: 2001-12-01 - Publisher: Springer Science & Business Media

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Here is an accessible, algorithmically oriented guide to some of the most interesting techniques of complexity theory. The book shows that simple algorithms are