Translatable Texts Identification in In-Context Localization Utilizing Pseudo-Language and an External Server

Abstract

Software-as-a-service system and methods for assisting translators by utilizing in-context localization with a localization editor that permits the translator to easily view how their translations appear on the application interface without having to navigate between different screens (e.g. between the translation input interface, and the screen that displays how it will appear to the viewer). Pseudo-language that comprises extra language with special identifiers is added to a localizable application in place of the original text. The pseudo-language is identified in the runtime, after which it is mapped and replaced with the original text or their translations. An external server is used to generate the pseudo-language based on source texts, and to do the matching by communicating with the application being translated while it is being run with the activated pseudo-language. The translated software comprises a web-based application, content websites and non-web related software, such as mobile applications, desktop software.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Application 61 / 910,959 filed Dec. 2, 2013; and, this application is a continuation of U.S. Utility application Ser. No. 14 / 557,432 filed on Dec. 1, 2014, now allowed. The entirety of both are hereby incorporated herein by reference.COPYRIGHT NOTICE[0002]A portion of the disclosure of this patent document contains material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or patent disclosure as it appears in the Patent and Trademark Office, patent file or records, but otherwise reserves all copyright rights whatsoever.FIELD OF THE INVENTION[0003]The present disclosure is generally directed to a software-as-a-service web-based language translation service to facilitate translating web based applications, content websites and non-web related software such as mobile applications, desktop software,...

AI Technical Summary

Benefits of technology

This approach reduces errors and costs by allowing translators to view and edit translations within the application context, ensuring high-quality localization of software applications across various platforms, including mobile and desktop software, while maintaining a low entrance threshold for end-users.

Problems solved by technology

From the methodology perspective, this approach provides good flexibility; however, it requires additional efforts of quality control since resource files are being translated with lack of context.

This method makes the overall localization process expensive and error prone.

However, the disclosed method is specific to web applications and it does not display the exact approach of how to get the solution accomplished by the end user.

As a result, it is not usable for many technologies and development approaches.

For example, it cannot be used to localize in-context non-web based applications, such as Android and iOS applications.

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