The demand for software localization has been growing consistently every year. Increasingly, software localization services are becoming more integral to the broader localization process. Whether the product is a website, video game, or mobile app, chances are it will require some sort of software localization. The technology and methods involved with software localization are continuously evolving. The following are three examples of some of the latest and most exciting developments in the software localization and website translation services spaces.
1. Meta’s Approach To Mobile Software Localization
Facebook is used by millions of people all over the world. By some reports, as much as 98% of users prefer to access Facebook on their mobile devices. Providing localization and translation services for all of the different languages of Facebook’s users is not a simple task. However, the engineering team at Meta has come up with a clever solution: language packs. Meta constructs a specific language pack for every single supported language. These language packs are automatically updated with new translations every time a new version of the mobile app is released. The key to this system is that the app only downloads the specific pack that the user needs. This saves time and space as the app concerns itself with only the languages the user needs.
2. The Use Of APIs For Software Localization
The software-as-a-service model has revolutionized the tech industry. This change in the business model of tech companies means that tech products have to be constantly updated as new services are provided and new users join the platform. Software localization and technology translation play an important role in this continuous development process. Localization companies have to be constantly involved, instead of simply performing a one-time localization service. To do this, translation and localization companies often build their own APIs to be able to integrate their localization tools with their client’s platform. This allows new translations and adaptations to be quickly integrated into the product, increasing the efficiency of the localization process. With so many apps connected with cloud technology, the use of APIs in the localization process contributes to a faster and more dynamic service.
3. Localization and AI
In addition to using APIs and interfacing with cloud-based technologies, software localization service companies are using cutting edge computer aided transcription systems. These systems use AI and machine learning to help make the translation and localization process more efficient and accurate. These AI and machine learning systems are constantly being improved. The speed, accuracy, and efficiency of localization and translation services will continuously grow as the technical abilities of these AI systems improve.
About Language Connections:
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