Abstract: A recommendation system reuses user interface (UI) strings in a virtualized computing environment based on semantic information. The recommendation system receives an input UI string query, and searches indexed and validated UI strings for candidate UI strings. The candidate UI strings are identified based on a relevance score and then ranked based on a semantic similarity score. The ranked UI strings are provided as a recommendation for a UI string in UI content of a user interface.

Abstract: Methods and systems are disclosed for an independent internationalization (“i18n”) engine for loading language content into a Domestic Object Model (“DOM”). An application can receive a markup file. The markup file can include language markers and an object map. The object map can map the language markers to language content in a language library. The application can construct a DOM from the markup file. An i18n engine of the application can retrieve language content from the language library using the object map. The i18n engine can insert the language content into objects in the DOM according to their corresponding language markers. The application can display the markup file using the DOM with the included language content.

Abstract: The layout of network-based interfaces can be defined in markup language files rendered in browsers executed on client devices. Interference problems among interface elements in such interfaces can be detected using the tools and processes described herein. The text nodes in a markup language file can be parsed out for processing. A number of pseudo characters or strings can be inserted into the text nodes to mimic the expansion that might occur if the plaintext in the text nodes was translated into a different language. The positions of those text nodes can then be determined and evaluated for interference with each other. Additionally or alternatively, the text nodes can be machine translated to a different language. In turn, the markup file including the translated text nodes can be rendered to evaluate whether the translated text nodes interfere with each other using optical character recognition, for example.

Abstract: Methods and systems are disclosed for an independent internationalization (“i18n”) engine for loading language content into a Domestic Object Model (“DOM”). An application can receive a markup file. The markup file can include language markers and an object map. The object map can map the language markers to language content in a language library. The application can construct a DOM from the markup file. An i18n engine of the application can retrieve language content from the language library using the object map. The i18n engine can insert the language content into objects in the DOM according to their corresponding language markers. The application can display the markup file using the DOM with the included language content.

Abstract: The layout of network-based interfaces can be defined in markup language files rendered in browsers executed on client devices. Interference problems among interface elements in such interfaces can be detected using the tools and processes described herein. The text nodes in a markup language file can be parsed out for processing. A number of pseudo characters or strings can be inserted into the text nodes to mimic the expansion that might occur if the plaintext in the text nodes was translated into a different language. The positions of those text nodes can then be determined and evaluated for interference with each other. Additionally or alternatively, the text nodes can be machine translated to a different language. In turn, the markup file including the translated text nodes can be rendered to evaluate whether the translated text nodes interfere with each other using optical character recognition, for example.