Global empire: Building for fun and profit
To establish a global user base, a product needs to support a variety of locales. The challenge with supporting multiple locales is the maintenance and generation of localized strings. Michelle Casbon explains how open source tools like Scala, Apache Spark, Apache Kafka, and Apache PredictionIO (incubating) provide structure for a scalable localization platform with machine learning at its core.
| Talk Title | Global empire: Building for fun and profit |
| Speakers | Michelle Casbon (Google) |
| Conference | O’Reilly Open Source Convention |
| Conf Tag | Making Open Work |
| Location | Austin, Texas |
| Date | May 8-11, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
To establish a global user base, a product needs to support a variety of locales. The challenge with supporting multiple locales is the maintenance and generation of localized strings. Michelle Casbon explains how open source tools like Scala, Apache Spark, Apache Kafka, and Apache PredictionIO (incubating) provide structure for a scalable localization platform with machine learning at its core. Michelle explains how Qordoba has addressed these challenges using highly scalable technologies and machine learning to automate the process, specifically, by generating high-quality translations in many different languages and making them available in real-time across platforms (e.g., mobile, print, and web). Such a platform offers continuous deployment of localized strings, live syncing across platforms (mobile, web, photoshop, sketch, help desk, etc.), content generation for any locale, and emotional response. Michelle also shares Qordoba’s architecture for handling billions of localized strings in many different languages, which uses:
