Abstract: A method for automatically estimating a translation time comprises receiving translation data, determining one or more translation parameters based on the translation data, retrieving one or more pre-determined translation coefficients associated with the one or more translation parameters, calculating an estimated translation time based on the one more or more translation parameters and the one or more pre-determined translation coefficients, and a base time to prepare the translation in addition to the translation itself. The method may further comprise reporting the estimated translation time to a user, receiving, from the user, a request to perform a translation associated with the translation data, performing the translation, recording an actual translation time, comparing the actual translation time to the estimated translation time, and based on the comparison, revising the one or more pre-determined translation coefficients to improve the estimating of the translation time.

Abstract: A computer-implemented method for use in natural language translation, including, 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: Methods, systems and program product are disclosed for determining a matching level of a text lookup segment with a plurality of source texts in a translation memory in terms of context. In particular, the invention determines any exact matches for the lookup segment in the plurality of source texts, and determines, in the case that at least one exact match is determined, that a respective exact match is an in-context exact (ICE) match for the lookup segment in the case that a context of the lookup segment matches that of the respective exact match. The degree of context matching required can be predetermined, and results prioritized. The invention also includes methods, systems and program products for storing a translation pair of source text and target text in a translation memory including context, and the translation memory so formed. The invention ensures that content is translated the same as previously translated content and reduces translator intervention.