Research

Xanthos, A. (to appear). A phonological approach to the unsupervised learning of root-and-pattern morphology. In D. Brentari & J. Lee (Ed.) Shaping Phonology. Chicago: University of Chicago Press.

2017

Goldsmith, J., Lee, J., & Xanthos A. (2017). Computational learning of morphology. Annual Review of Linguistics, 3(1): 85-106.

2016

Deneulin, P., & Bavaud, F. (2016). Analyses of open-ended questions by renormalized associativities and textual networks: A study of perception of minerality in wine. Food quality and preference, 47, 34-44.

Deneulin, P., Le Fur, Y., & Bavaud, F. (2016). Study of the polysemic term of minerality in wine: Segmentation of consumers based on their textual responses to an open-ended survey. Food research international, 90, 288-297.

Rochat Y, Ehrmann M, Buntinx V, Bornet C, Kaplan F. (2016) Navigating through 200 years of historical newspapers. In Proceedings of iPRES 2016.

Xanthos, A., Pante, I., Rochat, Y., & Grandjean, M. (2016). Visualising the dynamics of character networks. Digital Humanities 2016, pp. 417-419.

2015

Bavaud, F., Cocco, C., & Xanthos, A. (2015). Textual navigation and autocorrelation. In Mikros, G., & Mačutek, J. (Ed.), Sequences in Language and Text (=Quantitative Linguistics 69) (pp. 35–56). Berlin: De Gruyter.

Mahlow, C. and M. Piotrowski (Eds.) (2015). Systems and Frameworks for Computational Morphology, Volume 537 of Communications in Computer and Information Science. Cham: Springer.

Xanthos, A. (2015). Software as theory: a case study in the domain of text analysis. Interdisciplinary Science Reviews 40(4): 393-408.

Xanthos, A., & Guex, G. (2015). On the robust measurement of inflectional diversity. pp. 241-254 in Tuzzi A., Benesova M., Macutek J. (Ed.) Recent Contributions to Quantitative Linguistics (=Quantitative Linguistics 70) (pp. 241–254). Berlin: De Gruyter.

2014

Deneulin, P., Gautier, L., Le Fur, Y., & Bavaud, F. (2014). Corrélats textuels autour du concept de minéralité dans les vins. In JADT (Vol. 2014, pp. 209-223).

Piotrowski, M., G. Colavizza, F. Thiery, and K.-C. Bruhn (2014). The Labeling System: A new approach to overcome the vocabulary bottleneck. In P. Schmitz, L. Pearce, and Q. Dombrowski (Eds.), DH-CASE II: Collaborative Annotations on Shared Environments: Metadata, Tools and Techniques in the Digital Humanities, New York, NY, USA, pp. A1/1-6. ACM.

Rochat Y. (2014) Character networks and centrality. University of Lausanne.

Xanthos, A. (2014). Textable: programmation visuelle pour l’analyse de données textuelles. In Née, E., Daube, J.-M., Valette, M., & Fleury, S. (Ed.), Actes des 12es Journées internationales d’analyse statistique des données textuelles (JADT 2014), pp. 691-703. Paris: jadt.org.

2013

Mahlow, C. and M. Piotrowski (Eds.) (2013). Systems and Frameworks for Computational Morphology: Third International Workshop, SFCM 2013, Berlin, Germany, September 6, 2013, Proceedings, Volume 380 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer.

2012

Piotrowski, M. (2012). Natural Language Processing for Historical Texts. San Rafael, CA, USA: Morgan & Claypool.

Piotrowski, M., C. Mahlow, and R. Dale (Eds.) (2012). Proceedings of the Second Workshop on Computational Linguistics and Writing (CL&W 2012): Linguistic and Cognitive Aspects of Document Creation and Document Engineering. Stroudsburg, PA, USA: ACL.
Piotrowski, M. and C. Senn (2012). Harvesting indices to grow a controlled vocabulary: Towards improved access to historical legal texts. In K. Zervanou and A. van den Bosch (Eds.), Proceedings of the EACL 2012 workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2012), Stroudsburg, PA, USA, pp. 24-29. ACL.