Machine learning: Capacity of a program learn and act without having received explicit instructions to perform a task that way.
Natural language processing: Tasks that make it possible to interface human language with computers. It comprise simple operations such as determining where words start and end, up to complex tasks such as speech recognition.
Statistical machine translation: Method for automated translation based on the comparison of text in both languages
Neural networks: Form of processing architecture following a graph model that roughly mimics the neural architecture of the human brain.
Linked open data: a type of graph data that is published openly on the web and that can be interlinked with other datasets because it is structured using ontologies and vocabularies
Ontology: A way to organize information about relationships between things by naming and describing these relationships in a structured way, using a directional graph.
Pagé-Perron, Émilie 2017 "Expanding Digital Assyriology With Open Access and Machine Learning, A Cuneiform Digital Library Initiative White Paper for the Global Philology Project" https://docs.google.com/document/d/1jm2vlbc1haa2HQfz6kaFCsEGJay-r7L33hLxXxQ_dJ8/edit#
Babeu, Alison 2011 "Rome Wasn't Digitized in a Day": Building a Cyberinfrastructure for Digital Classics. Council on Library and Information Resources
Brumfield, Sara 2013 "Imperial Methods: Using Text Mining and Social Network Analysis to Detect Regional Strategies in the Akkadian Empire." PhD Thesis, UCLA
Chiarcos, Christian and Maria Sukhareva 2015 "Olia–ontologies of linguistic annotation." Semantic Web 6.4, 379-386
Eve, Martin Paul 2014 Open Access and the Humanities: Contexts, Controversies and the Future. Cambridge: Cambridge University Press. http://dx.doi.org/10.1017/CBO9781316161012
Hearne, James and Yudong Liu "Dating Tablets of the Ur III Period" Rencontre Assyriologique Internationale 63, Philadelphia
Hellmann, Sebastian, Jens Lehmann, Sören Auer, Martin Brümmer "Integrating NLP using linked data." International Semantic Web Conference. Springer Berlin Heidelberg, 2013.
Liu, Yudong, C Burkhart, James Hearne and L. Luo 2015 "Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition." HLT-NAACL. http://www.aclweb.org/anthology/N15-1167
Pagé-Perron, Émilie, Maria Sukhareva, Ilya Khait and Christian Chiarcos 2017 "Automated Translation and Information Retrieval of Ur III Cuneiform Texts" (under review)
Suber, Peter. 2012 Open access. Cambridge, Massachusetts: MIT Press. http://public.eblib.com/choice/publicfullrecord.aspx?p=3339454
Tablan, Valentin, Wim Peters, Diana Maynard and Hamish Cunningham 2006 “Creating Tools for Morphological Analysis of Sumerian” In Proceedings of the Fifth International Conference on Language Resources and Evaluation. http://lrec-conf.org/proceedings/lrec2006/pdf/64_pdf.pdf
Veldhuis, Niek 2016 "Computational Text Analysis: Comparing Lexical and Literary Vocabularies" Rencontre Assyriologique Internationale 63, Philadelphia
Niek Veldhuis's github projects https://github.com/niekveldhuis