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Text Analytics for Multilingual Search: A Growing Outlook for Text Processing & Indexing

The variety of search engines and text analytics platforms, the diversity of languages, and the differences in contextual meaning might pose persistent roadblocks for search strategists and engineers. For seamless communications and knowledge sharing through search, modern text analytics needs to delve into linguistic analysis, cultural nuances, and their expressions in documents, emails, shared sites, messaging systems, as well as multiple business applications.

This free white paper provides:

  • The essential elements of text analytics for a multilingual search platform, such as language identifier, lemmatization, tokenization, etc.
  • An engineer's sample approach to text analytics for search in multiple languages
  • Insights into the integration of Apache Solr search engine, Basis Technology’s Rosette® Linguistics Platform, and Search Technologies’ Aspire Content Processing for multilingual search implementation

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