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

Autor:	Buschbeck, Bianka, Exel, Miriam
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	This paper accompanies the software documentation data set for machine translation, a parallel evaluation data set of data originating from the SAP Help Portal, that we released to the machine translation community for research purposes. It offers the possibility to tune and evaluate machine translation systems in the domain of corporate software documentation and contributes to the availability of a wider range of evaluation scenarios. The data set comprises of the language pairs English to Hindi, Indonesian, Malay and Thai, and thus also increases the test coverage for the many low-resource language pairs. Unlike most evaluation data sets that consist of plain parallel text, the segments in this data set come with additional metadata that describes structural information of the document context. We provide insights into the origin and creation, the particularities and characteristics of the data set as well as machine translation results. Comment: Accepted for publication at WAT 2020; update to camera-ready version
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.04550 Zobrazit plný text záznamu View this record from Arxiv