Approximate string matching or “fuzzy matching” is the technique of finding character strings that match another character string approximately rather than exactly. To establish the fuzzy match percentage, i.e. the difference between two strings, the so-called “Levenshtein distance” is used, a metric that counts the number of primitive operations (insertion, deletion and substitution) which are necessary to match one string exactly to the other. But as interesting and highly intriguing this may be, the next STAR Campus webinar is not about problem formulations and algorithms, but rather teaches you how to use fuzzy matching in Transit NXT in your daily work to boost your productivity.
How fuzzy do you precisely want it to be?
In Transit NXT, you can establish a precise threshold for your fuzzy matching! Because depending on your source language, the text type and its characteristics you might want to have it a bit fuzzier or less. But that’s only one of the many many options that you can use to finely tune Transit’s fuzzy matching feature to your needs. You can even search for fuzzy matches in the target language (dual fuzzy) or automatically carry out concordance searches if the fuzzy search does not come up with the desired result. Want to know more? Then stop fuzzing about, check out the webinar and learn all about fuzzy matching in Transit NXT.
- 24th June, 16:00 (GMT + 2:00): Webinar in German, duration is approx. 60 minutes
- 26th June, 10:00 (GMT + 2:00): Webinar in English, duration is approx. 60 minutes
Register and participate
The webinar will take place online and is free of charge although the number of participants is limited. You can simply register by sending an e-mail to email@example.com
We use the webinar software TeamViewer. Once you have registered, you will receive your login details and you can use these details to access and participate in the webinar.
Please note this blog has been moved to a new location, where you will be able to browse it and consult it just like you do now. Stay tuned!