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Data Conversion Laboratory Announces Major Update to Harmonizer Software Solution

AI Software Analyzes Large Document Collections to Identify Redundant Content

Fresh Meadows, NY, May 21, 2020 – Data Conversion Laboratory (DCL), an industry leader in structured data and content transformations, today announces a major update to its Harmonizer software application. Harmonizer analyzes document collections and incorporates artificial intelligence (AI) into its text analysis, using natural language processing (NLP) to identify redundant and near redundant content in the collection.

Managers of large document collections often find similar text used in multiple ways with little standardization. A Harmonizer analysis often reports that on average greater than 50% of the text in a document collection is repetitive. Identifying redundancies enables a reduction in the amount of content organizations are managing, thus reducing content management costs and the risk of errors. This latest Harmonizer release also provides more flexible configuration options. Configurable AI algorithms determine content matches, allowing stricter or looser controls to “match” content.

To streamline content management, organizations need to strategically control leaner collections and ensure all business units operate with unified source content. This latest update builds upon previous releases to improve the user experience, making it possible to quickly search for and review content matches. Navigating massive content collections is now easier than ever with a resizable document map appearing alongside the paragraph match report. Improved linking on the document map allows users to quickly jump to the paragraph report that consolidates all content variations into one harmonized paragraph.

 

“The power of Harmonizer to simultaneously analyze across any file format – XML, HTML, SGML, Word, Framemaker, InDesign, PDF, and others – is invaluable when planning a content reuse strategy or moving content to a new platform,” explains Christopher Hill, Product Manager at DCL. “Our customers use Harmonizer as the foundation for structuring content reuse models, particularly as it provides the means to operationalize information that has grown over time.”

 

Schedule a demo today to learn more and see Harmonizer in action.

 

DCL is an active member of and participant in industry organizations that support the management and effective interchange of data and content such as the Center for Information-Development Management (CIDM), S1000D User Forum, National Information Standards Organization (NISO), Book Industry Study Group (BISG), and Society for Scholarly Publishing (SSP). 

About Data Conversion Laboratory
Data Conversion Laboratory (DCL) provides data and content transformation services and solutions. Using the latest innovations in artificial intelligence, including machine learning and natural language processing, DCL helps businesses organize and structure data and content for modern technologies and platforms. With expertise across many industries including publishing, life sciences, government, manufacturing, technology and professional organizations, DCL uses its advanced technology and U.S.-based project management teams to solve the most complex conversion challenges securely, accurately and on time. DCL is the industry leader in XML content conversion, DITA conversion, S1000D conversion, SPL conversion services, and so much more. Founded in 1981, DCL was named one of EContent's Top 100 Companies in the Digital Content Industry.

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