Scientific publications

  1. Pagé-Perron, Émilie, Sukhareva, Maria, Khait, Ilya, and Chiarcos, Christian. 2017. “Machine Translation and Automated Analysis of the Sumerian Language.” Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Association for Computational Linguistics Anthology

  2. Chiarcos, Christian, Pagé-Perron, Émilie, Khait, Ilya, Schenk, Niko, and Reckling, Lucas. 2018. “Towards a Linked Open Data Edition of Sumerian Corpora.” Proceedings of the Language Resources and Evaluation conference.

  3. Chiarcos, Christian, Khait, Ilya, Pagé-Perron, Émilie, Schenk, Niko, Jayanth, and Reckling, Lucas. 2018. “Annotating Sumerian: A LLOD-enhanced Workflow for Cuneiform Corpora.” Proceedings of the 6th Workshop on Linked Data in Linguistics (LDL-2018): Towards Linguistic Data Science.

  4. Chiarcos, Christian, Khait, Ilya, Pagé-Perron, Émilie, Schenk, Niko, Jayanth, Fäth, Christian, Steuer, Julius, McGrath, William, and Wang, Jinyan. 2018. “Annotating a Low-Resource Language with LLOD Technology: Sumerian Morphology and Syntax.” Information 9(11): 290.

Talks

  1. Pagé-Perron, Émilie, Sukhareva, Maria, Khait, Ilya, and Chiarcos, Christian. “Machine Translation and Automated Analysis of the Sumerian Language” (LaTeCH-CLfL Workshop, Vancouver, August 4, 2017).

  2. Pagé-Perron, Émilie, and Reckling, Lucas. “Introducing the Machine Translation and Automated Analysis of Cuneiform Languages Project” (University of Toronto Digital Humanities Network Event, Toronto, August 29, 2017).

  3. Pagé-Perron, Émilie, and Reckling, Lucas. “MTAAC: Machine Translation and Automated Analysis of Cuneiform Languages” (Canadian Society for Mesopotamian Studies Symposium “Digital Cuneiform: New Approaches to the Study of Ancient Near Eastern Written Sources,” Toronto, September 30, 2017).

  4. Pagé-Perron, Émilie (co-authored with Terhi Nurmikko-Fuller). “Getting LOADed: Practical Considerations, Tools, and Workflows for producing Linked Open Assyriological Data” (American Schools of Oriental Research Annual Meeting, Boston, November 15-18, 2017).

  5. Pagé-Perron, Émilie. “Le projet MTAAC: traduction et analyse automatique de textes cunéiformes” (Conférence de l’Association des études du Proche-Orient ancien, Université du Québec à Montréal, March 13, 2018).

  6. Pagé-Perron, Émilie. “Recent Developments in Natural Language Processing for Cuneiform Languages” (“Thinking Digital in Cuneiform Studies: Methods, Problems, Perspectives” workshop, Venice, March 27-28, 2018).

  7. Pagé-Perron, Émilie. “Pre-requisites and Workflow for the Machine Translation of the Sumerian Language” (“Future Philologies: Digital Directions in Ancient World Text” workshop, Institute for the Study of the Ancient World, New York, April 20, 2018).

  8. Baker, Heather D. and Pagé-Perron, E. “Machine Translation and Automated Analysis of Cuneiform Languages” (contributions to workshop “Building International Bridges Through Digital Scholarship: The Trans-Atlantic Platform Digging Into Data Challenge Experience,” DH2018 Conference, Mexico City, June 25, 2018).

  9. Baker, Heather D. “Introducing the MTAAC project: Machine Translation and Automated Analysis of Cuneiform Languages” (64th Rencontre Assyriologique Internationale, Innsbruck, July 20, 2018).

  10. Khait, Ilya (in Russian). “Annotating Sumerian: (Semi)automatic Tagging of Morphology and Syntax for a Low-Resource Language” (first session of the Seminar for Comparative-Historical Linguistics, The Institute of Linguistics, Russian Academy of Sciences, Moscow, October 4, 2018).

  11. Pagé-Perron, Émilie. “Cuneiform Collections as (Linked) Data” (“Collections as Data” workshop, Digital Libraries Forum, Las Vegas, October 15-17, 2018).

  1. Big data research awards show the potential of international collaboration in University Affairs magazine, by Michael Sinatra 02/05/2017

  2. The key to cracking long-dead languages? at BBC Online, by Stephanie Hardach 10/12/2018

Press releases

DFG press release
NEH press release
SSHRC press release