CIOReview | | 19 DEC - JANaccomplished in a fraction of the time due to XTM's powerful automation, allowing teams to concentrate on high-value tasks. For instance, projects initially estimated at 200 hours can see time reductions of 50 to 80 hours with XTM, resulting in a faster, more efficient workflow that enhances productivity and cost savings.Solving Localization Challenges with Ease At its core, XTM integrates advanced AI and machine learning with a deep understanding of client needs. A standout feature is an auto-inline element within its computer-aided translation (CAT) tool, which automatically translates inline tags, formatting codes, spacing and hyperlinks while parsing XML files. This user-friendly "what you see is what you get" mode enables users to focus solely on content, free from the distractions of formatting, ultimately enhancing both productivity and accuracy.XTM's terminology extraction tool is a notable innovation that benefits organizations with highly technical products, such as those in the automotive and airline industries. These organizations often maintain terminology glossaries, and XTM's AI tool helps preserve this terminology during translation. Augmenting translation memory with approved terminology pairs reduces the need for QA checking, saving customers an average of 200 hours per month and ensuring consistency for critical elements like trademarks and brand-specific language.XTM also offers language appropriateness-checking tools. The appropriateness of terms or phrases can vary significantly across languages and cultures, previously requiring human oversight. Its AI-driven appropriateness checker scans external sources to build a library that ensures culturally and contextually accurate translations.A further breakthrough is XTM's ability to identify non-translatable segments within documents. In traditional systems, non-translatable content, such as binary images or hyperlinks, would halt translation. XTM's AI can now mark these segments and continue translating the document, improving workflow and reducing delays.To improve translation accuracy even more, XTM employs its proprietary token-based Levenshtein algorithm. Unlike standard industry methodology, the algorithm retrieves more fuzzy matches by analyzing segment syntax. As a result, it maximizes translation memory usage, reducing not only translation costs downstream but also minimizing revisions as the reuse of approved translations ensures greater consistency to brand guidelines and terminology.XTM's innovative solutions have garnered acclaim across diverse industries. A prime example is a leading software company that has effectively automated the translation of its software assets into numerous languages. Achieving an impressive 98 percent automated translation rate without human involvement, this organization has maintained uninterrupted software development cycles while ensuring localization that meets global market demands.Future-Proofing BusinessBuilding on its culture of innovation, XTM is set to expand its connector ecosystem at unprecedented scale following the acquisition of Locale. Leveraging Locale's proprietary technology that reduces connector development and system integration development time by up to 90 percent, XTM will offer greater coverage of unique, end-to-end automation needs. It is also introducing sophisticated post-edit quality scoring for both machine and human translations. The intelligent workflow routing that follows efficiently allocates resources to only translations that require editing based on established quality thresholds.As businesses expand their global reach, XTM stands ready to provide the essential tools and support needed for success in the complex linguistic translation landscape. The world of translation is a very human-centric business, and our goal is to guide clients toward future technologies without overwhelming them
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