Cloud Terminology Challenge

Keeping terminology in the cloud is handy, because I do not have to worry that termbases on my two computers will be getting more and more different with time.

But... With character based search the results tend to be random, and not alway accurate (for example , when I go to the “Multiterm” interface in the web browser, the term is there, but it does not show up in Studio Term Recognition.

 

Linguistic search, on the other hand, returns way too many results. How do I fine-tune its options, so that I get a reasonable number of hits, and hopefully adequate?

 

As regards the “Multiterm” interface in the web browser, both linguistic search and character-based search appear to work better than in the Term Recognition pane in Studio.

Parents Reply
  • Hi Piotr,

    Thank you for your interest in our Cloud Terminology beta.

    Indeed one of the big focus areas have been on optimizing the results of the term recognition. We have been making tweaks on both the Backend and front-end which are in Studio 2019. I'm not sure if you can use Studio 2019, but that has streamlined the options exposed compared to Studio 2017.

    We are still not 100% happy and are continuing further optimizations, but if you can provide any examples and feedback on the Studio 2019 + Cloud Terminology combination it would be highly appreciated, as the more examples we have the better.

    Thanks,
    Luis

    Best regards,
    Luis Lopes | Principal Product Manager | RWS | (twitter) @Luis___Lopes |

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