Friedel Wolff

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A translation memory system stores a data set of source-target pairs of translations. It attempts to respond to a query in the source language with a useful target text from the data set to assist a human translator. Such systems estimate the usefulness of a target text suggestion according to the similarity of its associated source text to the source text(More)
A translation memory system attempts to retrieve useful suggestions from previous translations to assist a translator in a new translation task. While assisting the translator with a specific segment, some similarity metric is usually employed to select the best matches from previously translated segments to present to a translator. Automated methods for(More)
We present a system to identify erroneous entries in a translation memory. It is a machine learning system that learns to classify entries according to either a strict or a permissive view on correctness. It is trained on features relating to segment length, translation quality checks, spelling and grammar errors, and additionally uses external data for(More)
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