What is continuous localization?

Localization is the process of adapting content to the language of the market in which it will be used.

Continuous localization is a versatile process where the translation and adaptation of products (such as software and apps) are integrated into each release cycle, rather than just a one-off process. In continuous localization, identifying, extracting and translating new content is automated whenever functionalities are added to a digital product. This means the software can be released in various countries at the same time, or almost immediately.

Continuous localization is a necessity for many multinational software developers and has characteristics that make it complex and exacting. This type of localization involves an agile workflow that integrates localization directly into software and app development, so that the translated versions are constantly updated with each new functionality. This means products can be delivered simultaneously in multiple languages when new software is released, unlike traditional version-based localization.

What are the characteristics of continuous localization?

• Fluid process: Localization is a continuous process, rather than a series of isolated projects, in which translation and revision are repeated weekly as part of a constant workflow.
• Integration into development:  Continuous localization is aligned with the systems and software used by developers and allows new features to be localized as they are developed, thus enabling a complete, localized product to be delivered in all languages all at once.
• Automation: Tools are used to automate manual tasks, manage versions and avoid conflicts in code merging and translation.

What problems can arise when translating software?

This process is ideal for software developers, but can be problematic for localization managers (project managers, or PMs) and translators, as they need their tasks to be very well automated to ensure no steps are skipped. In practice, PMs have to check that the tasks are performed correctly and new text strings are properly localized in all languages.

The problems most frequently arising in continuous localization are:

1. The automatic system fails and some of the tasks do not start on time: it is important for the PMs to check that the tasks are carried out and to monitor the progress of all collaborators.
2. Since the tasks are automatic, important information for ensuring correct translation, such as string length, context and terminology, may be missing.
3. Translators and proofreaders may have queries due to lack of information: another of the PM’s jobs is to make sure all the linguists’ doubts are cleared up by the developers and that their questions and answers reach all the translators in all language combinations. At LocalizationLab we use Query Sheets in the cloud, which are shared with all linguists working on the same project.

How can these problems be solved and what is the ideal model?

These problems can be solved by integrating a hybrid model, in which a continuous localization flow is integrated into the developers’ systems, but managed by a professional PM responsible for the entire process.

This hybrid model offers the advantage of continuous localisation with professional human oversight, contributing to higher quality in the final product across all languages.

What are the benefits of a hybrid continuous localization model?

In the hybrid model, timelines marking the localization rounds are drawn up, so all project members know the localization dates. This allows them to release their software worldwide at the same time, with a clear idea of when each task will be completed.

• Time to market is reduced because teams can be organized in advance.
• Quality is improved because translators know when they will be receiving the strings and how much time they have for the translation, so they can organize their time appropriately.
• Translation memories can be updated with each round, ensuring quality control for the string databases.
• Timing issues are avoided, as all the teams are given the dates in advance.
• Costs are reduced because the strings are integrated into the different rounds, thus minimising management costs.

What products can benefit from the hybrid continuous localization model?

Any digital product that is updated, rather than static, can benefit from the hybrid continuous localization model:

• Software:

Continuous localization can be used to translate new functionalities and user interface texts, and to correct errors.

• Apps:

As with software products, apps also need to have their interface, user-facing texts and new functionalities translated in real time for users worldwide.

• Websites:

Continuous localization is also suitable for websites, which are updated and modified as companies evolve, publish new content on their blog, add news items and so on. Websites are no longer static, but constantly updated, real-time showcases for companies.

• E-commerce:

As with other websites, e-commerce sites must be constantly adapted to changes and customers’ needs, and therefore require updating.

• Video games:

Video games release new versions and updates with new images, characters, better graphics and new features, all of which must be correctly localized to ensure the same user experience worldwide.

A CSA study entitled “Can’t read, won’t buy” pointed out that 40% of users do not buy products that are not in their native language, and 73% want opinions on products in their own language.

Conclusion

Ultimately, any digital product that undergoes updates, modifications or changes can benefit from the working method used in the hybrid continuous localization model, making localization part of the development process to create truly global products.

Continuous localization supervised by a team of professional PMs is both financially advantageous and benefits the image and brand. At LocalizationLab we can help you set up a continuous localization process for your products, enabling you to work more efficiently and maintain a strong global presence.

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