Amazon Technologies, Inc.

Kelly Duggar Wiggins

Thibault Pierre Seillier

Paul Christopher Cerda

William Joseph Kaper

Paul Kasper

Pallami Bhattacharjee

Jeremy Boynes

Addison Phillips

Christopher A Heilman

William Cary Hall

Tzuta Lin

Robert E Hicks

Jan Bernatik

Zbynek Vyskovsky

David Armour

Jonathan Benedict Beaulieu

Kareemuddin Syed-Mohammed

Muhammet Halit Karakis

Srinivasane Aravamoudane

This system facilitates modification of application resources without modifying the source code of the application, while preventing modifications that may cause errors. After the source code and resources for an application are deployed, a user may provide a modified version of a resource, such as by changing a text string. The modified resource is compared to the existing version of the resource to determine if the modification will potentially cause an error when executing the application. If the modification adds or removes a parameter, changes a parameter name, changes a parameter type, or removes a resource, the change is prevented. Otherwise, the change is deployed without modifying the source code of the application. Parameters may be associated with hash codes or other types of identifiers to enable an application to locate a modified resource having a parameter that matches that of an original resource based on a matching identifier.

System for updating resources independently from source code

A content management system (CMS) and a translation management system (TMS) can utilize content dimensions for content items to manage and translate the content items between languages. Machine and human translations of complex dynamic content can also be improved by pre-rendering the content to remove localization-related syntax prior to machine or human translation. Content items can also be scored as to their suitability for localization prior to translation, and translation can be skipped for content items that do not have a sufficiently high score. Semantic and natural language processing (NLP) techniques can also be utilized for content categorization and routing. Translations of content items can also be continuously refined and higher quality re-translated content can be provided in an automated fashion.

Source language content scoring for localizability

Semantic and natural language processing for content categorization and routing

A system for conducting a code review of program source code including translation of content in the program source code may include a source control system. The system may also include a resource file translator to facilitate translation of the content from a first language into second languages. Upon receipt of a code review request, the source control system may notify a workflow manager that the resource files contain the content for translation, and the workflow manager may notify a resource file translator that the program source code contains the content for translation. The resource file translator may cause translation of the resource files into translated resource files. The source control system may receive program source code under review from a code reviewer interface, and the resource file translator may update the program source code under review with the translated resource files.

Code review with automated translation

Continuous translation refinement with automated delivery of re-translated content

Leveraging content dimensions during the translation of human-readable languages

Abstraction of syntax in localization through pre-rendering

Growing community of inventors

Seattle, WA, United States of America

Kelly Duggar Wiggins