Webinar: Pinpointing i18n Issues Quickly with Machine Learning
A Look Under the Hood of Lingoport Globalyzer, Now Powered by Machine Learning
Put machine learning to work so that your teams create better internationalized software, faster, easier and more naturally in every sprint.
Internationalization (i18n) Prevents Localization Problems
Localization (L10n) runs into problems if your software isn’t well internationalized in the first place. To the annoyance of global customers and in-country sales teams, these bugs can go unaddressed for many weeks, months or even years, as development moves on to new features. The best way to deal with i18n issues is to find them as the code is written or committed to source. Now, we have a predictive method to make this type of detection faster and easier than ever before.
Lingoport Globalyzer Now Powered by Machine Learning
The most common objection to i18n detection during development involves dealing with false positives. It takes a sophisticated detection system to distinguish between a true i18n issue and a programming element that looks like a problem but isn’t. Lingoport’s Globalyzer has had multiple methods to do this by default and through customization for years, but through the implementation of machine learning we’ve taken a further leap forward for powerful i18n detection even for highly unique software requirements.
Wednesday, April 25, 2018
Duration: 30 minutes, including audience Q&A
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VP, Product Development
What You Will Learn
- How to bridge gaps between L10n and development
- Effective i18n issue detection in source code
- The false positive conundrum
- Applying machine learning to i18n issue detection
- Scaling i18n expertise across your development teams
- Measuring, collaborating and supporting i18n in every sprint
Who Should Attend
- Localization Managers
- Development managers
- Localization and development engineers
- Product, Program and Project Managers with international objectives