Altagram
Gaming
Goals
To provide creative, high-quality localization of video game content tailored to Altagram’s target markets and languages.
Challenges
Before implementing memoQ into the daily workflow ten years ago, Altagram experienced issues such as inconsistent translations, the inability to handle unusual file formats, and the lack of Quality Assurance and Terminology checks.
Results
Today, all translatable content goes through memoQ and its statistics determine the price for resources and clients. With over 55 target languages, Altagram appreciates the flexibility and reliability of memoQ.
““Adjusting segmentation rules is extremely helpful in some cases where clients have exotic text structures.””
Wolfgang Hoffmann-Schoenborn
Senior Localization Engineer
Ten years with memoQ
When it comes to game localization, accuracy is essential. Altagram’s localization needs have been met thanks to various memoQ features such as the numerous import filters, the ability to exclude non-translatable text via the Regex Tagger, Quality Assurance and Terminology features, the different automatizations available via the memoQ API, and the tagger and segmentation rules that allows Altagram to turn messy codes into conveniently translatable content.
Moreover, Altagram benefits significantly from the easy handling of various file formats, and the Quality Assurance and Terminology checks that can be tailored to a very fine degree to meet the project’s needs, including restricting specific special characters and regex-based checks.
“Adjusting segmentation rules is extremely helpful in some cases where clients have exotic text structures.” – shares Wolfgang Hoffmann-Schoenborn, Senior Localization Engineer at Altagram.
About Altagram
Altagram is a global multilingual game localization and audio production agency with offices in Berlin, Germany; Seoul, South Korea; and Montreal, Canada. With over 5.800 game titles localized in the video game industry, Altagram’s talented and passionate team is a reliable partner in bringing games to a worldwide audience.
Read More Success Stories
After considering different TMS solutions, ARTE TV decided to go with memoQ in 2019. It ticks all of our boxes: It’s got an intuitive user interface for both our translators and PMs, and there are different deployment options. memoQ also provided us with training in French and German. Since switching to a TMS, our translation workflow has become more seamless without ever having to worry about poor quality.
arte
“After considering different TMS solutions, ARTE TV decided to go with memoQ in 2019. It ticks all of our boxes: It’s got an intuitive user interface for both our translators and PMs, and there are different deployment options. memoQ also provided us with training in French and German. Since switching to a TMS, our translation workflow has become more seamless without ever having to worry about poor quality.”
With over 55 target languages, Altagram appreciates the flexibility and reliability of memoQ.
Altagram
“Adjusting segmentation rules is extremely helpful in some cases where clients have exotic text structures.”
Siroko, a fast-growing sportswear brand, adopted memoQ TMS to manage its expanding localization needs. This change resulted in cost savings, improved productivity, and better translation quality, letting the company focus on creativity while maintaining consistency.
Siroko
memoQ has transformed how we handle translations, adapting to both small and large projects. It streamlines our workflow, allowing us to work efficiently while maintaining high standards. While we’re still exploring its full potential, memoQ is essential to our operations, letting us focus on creative and managerial tasks while ensuring consistency across all translations.
Learn more about how Deutsche Bahn decided to implement a Translation Management System (TMS) to streamline their localization processes and free up time to focus on quality and customer satisfaction.
Deutsche Bahn
“We want to keep control over our data throughout the entire translation process; in other words, we want to know who is working with our data and how.”