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welcome to the toos machine translation and Moses tutorial the cleaning of training data for statistical Mt systems is a hotly debated Topic in this module you present the industry best practices for data cleaning so that you can participate in this discussion and make the right decisions on how to clean your data this module and data cleaning and ization is closely related to the module data conversion and Corpus preparation the data conversion module was all about collecting the most training data from a variety of sources and converting it into the right format this module explains how to clean up the collected data to achieve the best possible Mt output quality prerequisite for easy Corpus cleaning and also Mt training is to separate the Corpus text into s so weamp;#39;ll talk about this first a basic phrase-based statistical Mt system sees training data simply as symbol separated by spaces it doesnamp;#39;t have a conceptual understanding what the text content means therefore be