Abstract: Translation review workflow systems and methods are disclosed herein. Some embodiments include a web content management system having a translation preview agent, the web content management system managing web content for publishing, a translation system that manages translation content of the web content, and a translation preview service that generates a translation preview of the web content with the translated content that is embedded within the web content to maintain context for a translator.

Abstract: Systems, methods, and media for managing web content. Methods may include the steps of providing web content associable with a web server, evaluating ambient data received from the web server and ambient data from at least one third party source, storing the ambient data in a database, selectively modifying content included in the web content based upon the ambient data, and providing the modified web content to the web server.

Abstract: Systems and methods for managing an editable preview of a webpage are provided herein. Exemplary methods may include receiving a request to generate an editable preview of a webpage, via a preview server, the webpage comprising assets arranged according to a layout, responsive to the request, obtaining, via the preview server, assets from a content repository, generating, via the preview server, an editable preview of the webpage using the obtained assets and the layout, and providing, via the preview server, the preview of the webpage to an authoring environment for editing by a content editor in such a way that when the content editor edits at least one of the obtained assets, the at least one obtained asset is placed in a locked format to prevent editing by additional content editors.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted to a remote device by the server for use in language translation. The auto-suggest dictionary data may be transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in the source natural language and a corresponding translated text segment in the target natural language.

Abstract: The present technology dynamically generates auto-suggest dictionary data from translation data stored in memory at a server. The auto-suggest dictionary data may be transmitted to a remote device by the server for use in language translation. The auto-suggest dictionary data may be transferred as part of a package which includes content to be translated, translation meta-data, and various other data. The auto-suggest dictionary data may be generated at a first computing device, periodically or in response to an event, from translation data stored in memory. The auto-suggest dictionary may be transferred to a remote device along with content to be translated and other data, as part of a package, for use in translation of the content at the remote device.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in the source natural language and a corresponding translated text segment in the target natural language.

Abstract: A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

Abstract: A computer-implemented method for use in natural language translation. The method involves attaching pieces of linguistic information to two or more source language elements in a source material in a first natural language. The pieces of linguistic information are matched to one or more predetermined parse rules. Associations are then formed between the two or more source language elements to form terminology candidates, which are then presented to human reviewers. Terminology candidates are subsequently validated by a user, becoming validated terminology which is then translated into a second, different, natural language, becoming translated terminology. The translated terminology can then be loaded into a machine-translation dictionary which can be used during subsequent machine-assisted translations.