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Component: LOD-TH
Component Name: SAP Translation Hub
Description: A machine learning technique that predicts the quality of non-human translations, for example, machine translations. QE is a supervised machine learning technique that learns from the following: Good and bad examples of machine translations The effort needed to make a machine translation comparable to a human translation The statistical model that results from the machine learning technique can predict the quality of new translations by calculating a score. This score enables you to see which of the translations require the most or least effort to review.
Key Concepts: Quality Estimation is a feature of the LOD-TH SAP Translation Hub that allows users to quickly and accurately assess the quality of their translations. It uses a combination of machine learning algorithms and natural language processing to analyze the text and provide an estimate of the translation quality. The quality estimation feature can be used to identify potential errors in translations, as well as to provide feedback on how to improve them. How to use it: To use the Quality Estimation feature, users must first upload their translation into the LOD-TH SAP Translation Hub. Once uploaded, users can select the Quality Estimation option from the menu. The system will then analyze the text and provide an estimate of its quality. Users can then use this information to make any necessary changes or improvements to their translations. Tips & Tricks: When using Quality Estimation, it is important to remember that it is only an estimate of the translation quality. It is not a guarantee that the translation is perfect, and users should always double-check their work before submitting it for review. Additionally, Quality Estimation can be used in conjunction with other tools such as spell checkers and grammar checkers to ensure that translations are as accurate as possible. Related Information: The LOD-TH SAP Translation Hub also offers other features such as automated translation, machine translation, and post-editing services. Additionally, users can access a range of resources such as tutorials, FAQs, and support forums to help them get the most out of their translations.