Recherche

2019

Piotrowski, M. (2019). History and the future of markup. In Kosek Ji?í (Ed.), Proceedings of XML Prague 2019. https://serval.unil.ch/notice/serval:BIB_3C124411CBEA.

Piotrowski, M. (2019). Historical Models and Serial Sources. Journal of European Periodical Studies, 4(1): 8-18. https://serval.unil.ch/notice/serval:BIB_9947DF4A7067.

Piotrowski, M. (2019). A Vision for User-Defined Semantic Markup. In Proceedings of the ACM Symposium on Document Engineering 2019 – DocEng ’19. https://serval.unil.ch/notice/serval:BIB_AEF4A299CAF1.

2018

Bavaud, F. (2018). Combien y a-t-il de variétés distinctes d’anglais? In Xanthos, A. & Surcouf, C. (Eds), Mélanges offerts en hommage à Marianne Kilani-Schoch. Cahiers de l’ILSL. 2018, pp. 11–30.

Ceré, R. & Egloff, M. (2018). An illustrated approach to Soft Textual Cartography. Applied Network Science, 3(1), 27. https://doi.org/10.1007/s41109-018-0087-y.

Egloff, M. & Bavaud, F. (2018). Taking into account semantic similarities in correspondence analysis. In Proceedings of the Workshop on Computational Methods in the Humanities 2018 (COMHUM 2018) (Vol. 2314, pp. 45-51). CEUR Workshop Proceedings.

Egloff, M. & Ceré, R. (2018). Soft Textual Cartography Based on Topic Modeling and Clustering of Irregular, Multivariate Marked Networks. In Cherifi, C., Cherifi, H., Karsai, M., & Musolesi, M. (Eds), Complex Networks & Their Applications VI (Vol. 689, pp. 731?743). Cham : Springer International Publishing. https://doi.org/10.1007/978-3-319-72150-7_59.

Egloff, M., Lieto, A., & Picca, D. (2018). An Ontological Model for Inferring Psychological Profiles and Narrative Roles of Characters. In Proceedings of Digital Humanities Conference 2018 (DH18).

Krichane, S. & Rochat, Y. (2018). Pour une analyse des discours sur le jeu vidéo: l’exemple des « cinématiques », Décadrages. Cinéma à travers champs, 39, pp. 93-118. https://serval.unil.ch/notice/serval:BIB_0E47347F0E51.

Xanthos, A. (2018). A phonological approach to the unsupervised learning of root-and-pattern morphology. In D. Brentari & J. Lee (Ed.) Shaping Phonology (pp. 309–327). Chicago: University of Chicago Press.

Xanthos, A. (2018). Sur le rôle de la diversité lexicale dans la mesure de la diversité flexionnelle. Cahiers de l’ILSL, 56: 311-331.

2017

Egloff, M. & Picca, D., (2017). DHTK: The Digital Humanities ToolKit. In Adamou, A., Daga, E., Isaksen, L. (Eds.), Proceedings of the Second Workshop on Humanities in the Semantic Web (WHiSe). https://serval.unil.ch/notice/serval:BIB_E14EDDF7AF42.

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

Rochat, Y. & Triclot, M. (2017). Les réseaux de personnages de science-fiction : échantillons de lectures intermédiaires, ReS Futurae, 10. http://journals.openedition.org/resf/1183 ; DOI : 10.4000/resf.1183.

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.

Egloff, M., Picca, D., & Curran, K. (2016). How IBM Watson Can Help Us Understand Character in Shakespeare: A Cognitive Computing Approach to the Plays. In Eder, M. & Rybicki, J. (Eds.), Digital Humanities 2016: Conference Abstracts. https://serval.unil.ch/notice/serval:BIB_23F9E97BD5CD.

Rochat Y., Ehrmann M., Buntinx V., Bornet C., & Kaplan F. (2016). Navigating through 200 years of historical newspapers. In Proceedings of iPRES 2016. https://infoscience.epfl.ch/record/218707/

Xanthos, A., Pante, I., Rochat, Y., & Grandjean, M. (2016). Visualising the dynamics of character networks. Digital Humanities 2016, pp. 417-419. https://serval.unil.ch/notice/serval:BIB_FFC5E66DEEC3.

2015

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

Picca, D., Jaccard, D., & Eberlé, G. (2015). Natural Language Processing in Serious Games: A state of the art. International Journal of Serious Games, 2 (3): 77-97. https://serval.unil.ch/notice/serval:BIB_E98818CE3DFD.

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).

Rochat, Y. (2014). Character networks and centrality. PhD Thesis. University of Lausanne. https://serval.unil.ch/notice/serval:BIB_663137B68131.

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.