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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)
The protection from software Trojans in embedded systems is a difficult problem. The only way a software Trojan can be inserted into an embedded system is if the embedded systems instruction code is behaviorally modified. Trojans can be introduced into the system via new software installation, updates, or application input data such as buffer overflows.(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)
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)
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