Abstract: A platform and related components are provided for managing and executing various processes involving distributed, crowd and automated resources, including human and machine language-based translation, are described, including methods and systems for creating and intelligently distributing cognizable translation units among internal workers, outsourcing centers, and crowd workers and methods and systems for on-demand translation.

Abstract: A platform and related components are provided for managing and executing various processes involving distributed, crowd and automated resources, including human and machine language-based translation, are described, including methods and systems for creating and intelligently distributing cognizable translation units among internal workers, outsourcing centers, and crowd workers and methods and systems for on-demand translation.

Abstract: The present application is directed towards methods and systems for providing anonymous and traceable external access to internal linguistic assets. The methods and systems described allow users the freedom to use a linguistic resource with the security that their identities and interactions with the resource are shielded from other users. Simultaneously, the system maintains a mechanism to trace all user's interactions with a resource to ensure the integrity of the asset is not jeopardized and to easily identify a problem with a user's access without broadcasting their identity or actions.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation. Prior to receiving a request form a translator for the translation, a determination is made that the remote translation memory stores an updated version of the translation. The updated version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the updated version of the translation, responsive to the identification of the utility of the updated version of the translation in translating the second portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation of the first portion of the document. The local machine stores, in a local cache, an alternate version of the translation created by a translator. The alternate version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the alternate version of the translation of the first portion of the document, responsive to the received identification of the utility of the alternate version of the translation of the first portion of the document to the second portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation of the first portion of the document. The local machine stores, in a local cache, an alternate version of the translation created by a translator. The alternate version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the alternate version of the translation of the first portion of the document, responsive to the received identification of the utility of the alternate version of the translation of the first portion of the document to the second portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation of the first portion of the document. The local machine stores, in a local cache, an alternate version of the translation created by a translator. The alternate version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the alternate version of the translation of the first portion of the document, responsive to the received identification of the utility of the alternate version of the translation of the first portion of the document to the second portion of the document.

Abstract: The present application is directed towards methods and systems for providing anonymous and traceable external access to internal linguistic assets. The methods and systems described allow users the freedom to use a linguistic resource with the security that their identities and interactions with the resource are shielded from other users. Simultaneously, the system maintains a mechanism to trace all user's interactions with a resource to ensure the integrity of the asset is not jeopardized and to easily identify a problem with a user's access without broadcasting their identity or actions.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of receiving, by a remote translation memory, at least one portion of a document in a source language for translation into a target language. The remote translation memory determines, prior to receiving a request from a translator for a translation of a second portion of the document, that a translation of the at least one portion is useful in translating the second portion, or in translating a portion of a second document. A local machine receives the translation of the first portion and an identification of the utility of the translation. A translation agent on the local machine generates a translation through reuse of the translation of the first portion of the document, responsive to the received identification of the utility of the translation of the first portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation of the first portion of the document. The local machine stores, in a local cache, an alternate version of the translation created by a translator. The alternate version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the alternate version of the translation of the first portion of the document, responsive to the received identification of the utility of the alternate version of the translation of the first portion of the document to the second portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of receiving, by a remote translation memory, at least one portion of a document in a source language for translation into a target language. The remote translation memory determines, prior to receiving a request from a translator for a translation of a second portion of the document, that a translation of the at least one portion is useful in translating the second portion, or in translating a portion of a second document. A local machine receives the translation of the first portion and an identification of the utility of the translation. A translation agent on the local machine generates a translation through reuse of the translation of the first portion of the document, responsive to the received identification of the utility of the translation of the first portion of the document.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation. Prior to receiving a request form a translator for the translation, a determination is made that the remote translation memory stores an updated version of the translation. The updated version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the updated version of the translation, responsive to the identification of the utility of the updated version of the translation in translating the second portion of the document.