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This paper accompanies the software documentation data set for machinetranslation, a parallel evaluation data set of data originating from the SAPHelp Portal, that we released to the machine translation community for researchpurposes. It offers the possibility to tune and evaluate machine translationsystems in the domain of corporate software documentation and contributes tothe availability of a wider range of evaluation scenarios. The data setcomprises of the language pairs English to Hindi, Indonesian, Malay and Thai,and thus also increases the test coverage for the many low-resource languagepairs. Unlike most evaluation data sets that consist of plain parallel text,the segments in this data set come with additional metadata that describesstructural information of the document context. We provide insights into theorigin and creation, the particularities and characteristics of the data set aswell as machine translation results.

A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation