Future of TMSs in business setting

Translation Management Systems are a novelty in the industry, but they still undergo many improvements.

Here are some trends that we may expect TMSs to follow in the future:

• interoperability with different CMSs – so that content managers could be able to order translations within their own environment and save on licensing costs
• connectivity with text authoring tools – so that technical writers could leverage on the existing multilingual content
• incorporation of business management functions – to preview the localization cost and time-frame
• integration with other enterprise systems – such as general ledger applications and sales force automation tools
• better TM leveraging – so that project managers could make the best possible use of their translation memories. For example, XTM's algorithm has been enhanced to deliver up to 25% improved accuracy, enabling users to leverage more TM matches in segments which differ only by the order of words or proper nouns. Plus, it gives the savings that come from the fact that the fuzzy matching calculation score algorithm was able to retrieve the TM match, as opposed to standard algorithms which would assign too low a score to this example or possibly fail to retrieve it at all.
• AI-enhanced TM features – so that fuzzy matches coming from the TM could be directly sent to MT engine, enabling TM and MT to work together to deliver the best match possible. This is particularly useful when the source text could be translated in a number of different ways. It can solve the problem of lacking or inconsistent context in machine translation. This feature is also already available in XTM.