The Contextual Edge with

Dan Cho
October 16, 2023
1 min read
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Localization transcends mere linguistic translation; it embodies a cultural interpretation. Traditional localization methods often entail labor-intensive efforts to familiarize translators with app-specific terminologies and brand subtleties—a process both time-consuming and susceptible to inconsistencies. Enter Strings, revolutionizing the localization landscape by harnessing the power of AI to inject context into translations, reshaping the entire process.

At the core of Strings' groundbreaking methodology lies a profound appreciation for the importance of context. The AI seamlessly assimilates app context, assimilating fundamental details about your application and its functionalities, emulating human comprehension. This results in translations that not only exhibit linguistic accuracy but also convey contextual appropriateness.

For instance, translating the English 'settings menu' to 'menú de ajustes' in Spanish might introduce confusion due to the potential interpretation as an 'adjustments menu.' Strings, however, ensures a more contextually fitting translation such as 'configuración,' aligning seamlessly with user expectations and regional nuances.

Navigating the intricacies of brand phrases presents another challenge in localization. Often, maintaining the untranslated form of words carrying brand identity is crucial to preserving a consistent brand image globally. Strings facilitates the definition of brand phrases that the AI will leave untouched, safeguarding brand messaging uniformity across diverse markets.

This AI-driven contextual awareness dramatically alleviates the challenges of working with human translators. Re-translations can now be automatically triggered with new requirements such as character limits or tone and completed in a matter of minutes instead of days. By seamlessly integrating AI with a profound understanding of context and a commitment to preserving brand identity, Strings represents a smarter, more efficient avenue for localization. It propels us toward a future where applications not only converse in multiple languages but also communicate with cultural intelligence, all achieved at a fraction of the conventional costs and efforts.

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