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  E-services translation utilizing machine translation and translation memoryRelated Patent Categories: Data Processing: Speech Signal Processing, Linguistics, Language Translation, And Audio Compression/decompression, Linguistics, Translation MachineThe Patent Description & Claims data below is from USPTO Patent Application 20060116865. Brief Patent Description - Full Patent Description - Patent Application Claims
CROSS-REFERENCE TO RELATED APPLICATIONS [0001] The present application claims priority to U.S. patent application Ser. No. 09/662,758, entitled "E-SERVICES TRANSLATION PORTAL SYSTEM," filed Sep. 15, 2000, incorporated by reference herein as to its entirety. BACKGROUND OF THE INVENTION [0002] The present invention is directed to a system and method for at least partially translating data and facilitating the completion of the translation process. More in particular, the present invention is directed to a system and method for translating data which includes a source of data to be translated, a network connected to the source of data, a translation source connected to the network, and a portal system connected to the network for retrieving the data to be translated, and at least partially translating that data. [0003] The system and method translates data by combining translation memory and machine translation, and in particular example based machine translation (EBMT). [0004] Still further, the system and method stores source language sentences and target language sentences in the translation memory regardless of whether the sentences are matched to corresponding sentences in the other language. [0005] Currently, there exist individual translation memory tools for use on a translator's workstation. Such translation aids analyze documents on a word-by-word basis, treating each new document as a totally new project. Such systems suffer from reduced efficiency in that they fail to take into account redundancies found in a document, similarities of one document to a previously translated document, and provide no means to enable team collaboration or involve the customer in the translation process. [0006] There is therefore a need to provide a centralized translation database from which prior translations can be utilized to at least partially translate new documents to be translated. There is further a need to involve the translation customer in an iterative process, with intermediate approvals of translation work being obtained as a translation project progresses. [0007] In an era where businesses are able to take advantage of a worldwide marketplace utilizing a global computer network (Internet) it is important that such businesses are able to easily solicit business in multiple languages. Therefore, many businesses desire to have their Web pages translated into multiple languages, so that they are able to solicit business in many different markets. Therefore, a system, which can upload a Web page and duplicate it in multiple languages, is highly desirable. Further, as much multiple languages is highly desirable. Further, as much of the language of anyone Web page is similar to that of other Web pages, it is further desirable to make use of the translations of previously translated Web pages to aid in the translation of other Web pages. By such an arrangement, the present invention reduces the workload of translators, whether it is translation of Web pages or other documents. [0008] Further, it would be advantageous if a system and method could be devised that did not rely on a translation memory containing pairs of sentences in both source and target languages. It would also be advantageous to have a translation system and method minimized the reliance on a human translator to correct a translation generated by machine translation (MT). [0009] While reducing the workload of translators by making use of translations of previously translated documents and materials is advantageous, it is desirable to further reduce the workload of translators by implementing a system whereby machine generated translation, in a target language, of a source sentence is compared to a database of human generated target sentences. In this manner if a human generated target sentence is found, the human generated target sentence can be used instead of the machine generated sentence, since the human generated target sentence is more likely to be a well-formed sentence than the machine generated sentence. [0010] Example based machine translation (EBMT) is a more language independent approach than machine translation. Example based machine translation works on units of data smaller than the sentences utilized in machine translation. Example based machine translation uses a bilingual corpus to align not only sentences, but also phrases or even words from source language to target language. If a target sentence match a source sentence is not found, a target sentence might be built from phrases that have been already translated in different sentences stored in the translation memory. While a well defined domain example based machine translation can retrieve correct terms and phrases, it has a trouble generating well formed sentences. SUMMARY OF THE INVENTION [0011] A system for translating data is provided. The translating system includes a source of data to be translated, and a network connected to the source of data. The system further includes a translation source connected to the network and a portal system connected to the network for retrieving the data to be translated. The portal system includes a system for at least partially translating the data and a system for transmitting the at least partially translated data to the translation source for completing the translation of the data. [0012] From another aspect, a system for translating data transmitted electronically through a global computer network is provided. The system includes at least one user terminal coupled to the global computer network for transmitting and receiving user related data therethrough. The system also includes at least one vendor terminal coupled to the global computer network for transmitting and receiving vendor related data therethrough. The system includes a first computer coupled to the global computer network for exchanging user related data with the at least one user terminal and vendor related data with the at least one vendor terminal through the global computer network. A file storage memory is provided which is coupled to the first computer for storing user related current document data representing documents to be transmitted from the at least one user terminal. A second computer is provided that is coupled to the first computer and the file storage memory for at least partially translating the current document data. The system also includes a database of previously entered document data and associated translated document data coupled to the second computer. The second computer compares the current document data with the previously entered document data to match the current document data with corresponding translated document data in the database to form the at least partial translation of the current document data. The at least partial translation is sent to the first computer and transmitted therefrom to the at least one vendor terminal for completing translation of the current document data and uploading the completed translation to the first computer. The first computer includes a system for transmitting the completed translation to the at least one user terminal and the second computer. The second computer includes a system for adding the current document data and the completed translation to the database. [0013] In order to overcome the limitations of example based machine translation, the present system and method can store source and target language sentences in the translation memory regardless of whether the sentences are in matched pairs. In an extreme situation, the translation memory contains only a huge collection of source and target language sentences, where none of the sentences are paired together. Upon receiving source data, the system and method of the present invention will search the translation memory. If no match is found in the translation memory, the machine translation is accessed. The machine translation will then produce a target sentence. This target sentence may have correct terms and phrases, but it is very likely that the target sentence will be poorly constructed. Instead of presenting the target sentence to a human translator for correction, the system and method makes use of the matching capability of the translation memory to find a similar target sentence. This search can be executed over all the available target sentences in the translation memory, even if the sentences are not paired up with corresponding source language sentences. If a good match is found, the system and method will select that sentence instead of the machine generated sentence. The sentence could then be sent to a human translator for a final check. BRIEF DESCRIPTION OF THE DRAWINGS [0014] The foregoing summary of the invention, as well as the following detailed description of preferred embodiments, is better understood when read in conjunction with the accompanying drawings, which are included by way of example, and not by way of limitation with regard to the claimed invention. [0015] FIG. 1 is an architectural overview diagram of the present invention; [0016] FIG. 2 is a block diagram illustrating the present invention; [0017] FIG. 3 is a block diagram illustrating the translation and management architecture of the present invention; [0018] FIG. 4 is an illustration of the translation memory architecture of the present invention; [0019] FIG. 5 is a flow chart representing the translation process of the present invention; [0020] FIG. 6 is a flow chart illustrating the order process of the present invention; Continue reading... Full patent description for E-services translation utilizing machine translation and translation memory Brief Patent Description - Full Patent Description - Patent Application Claims Click on the above for other options relating to this E-services translation utilizing machine translation and translation memory patent application. ###  How KEYWORD MONITOR works... a FREE service from FreshPatents1. Sign up (takes 30 seconds). 2. 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