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Mastering Apache Solr 7.x

You're reading from   Mastering Apache Solr 7.x An expert guide to advancing, optimizing, and scaling your enterprise search

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788837385
Length 308 pages
Edition 1st Edition
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Authors (3):
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Dharmesh Vasoya Dharmesh Vasoya
Author Profile Icon Dharmesh Vasoya
Dharmesh Vasoya
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Sandeep Nair Sandeep Nair
Author Profile Icon Sandeep Nair
Sandeep Nair
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Solr 7 2. Getting Started FREE CHAPTER 3. Designing Schemas 4. Mastering Text Analysis Methodologies 5. Data Indexing and Operations 6. Advanced Queries – Part I 7. Advanced Queries – Part II 8. Managing and Fine-Tuning Solr 9. Client APIs – An Overview

Understanding multilingual analysis

So far, we have concentrated on Solr text analysis (analyzers, tokenizers, and filters) irrespective of any language. Solr support multiple language search and this feature puts Solr at the top of the list of search engines. Let's understand how Solr works for multiple language search.

So far all the examples we have covered are in English. The tokenization and filtering rules for English are very simple and straightforward, such as splitting at white spaces or any other delimiters, stemming, and so on. But once we start focusing on other languages, these rules may differ. Solr is already prepared to meet multiple analysis search requirements such as stemmers, synonyms filters, stop word filters, character query correction capabilities normalization, language identifiers, and so on. Some languages require their own tokenizers...

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