@InProceedings{pageperron-EtAl:2017:LaTeCH-CLfL,
  author    = {Pag\'{e}-Perron, \'{E}milie  and  Sukhareva, Maria  and  Khait, Ilya  and  Chiarcos, Christian},
  title     = {Machine Translation and Automated Analysis of the Sumerian Language},
  booktitle = {Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {10--16},
  abstract  = {This paper presents a newly funded international project for machine
	translation and automated analysis of ancient cuneiform languages where NLP
	specialists and Assyriologists collaborate to create an information retrieval
	system for Sumerian. This research is conceived in response to the need to
	translate large numbers of administrative texts that are only available in
	transcription, in order to make them accessible to a wider audience. The
	methodology includes creation of a specialized NLP pipeline and also the use of
	linguistic linked open data to increase access to the results.},
  url       = {http://www.aclweb.org/anthology/W17-2202}
}