Iulia Dudar

Fax: +49 651 201-3589

Room: DM 330

Office Hours: after appointment

Iuliia Dudar

member of academic staff

Iuliia is a computational linguist with a strong interest in Computational Literary Studies, working in the areas of text mining and word embedding.

Curriculum Vitae

From 2012 - 2020: bachelor degree course in Media Studies and master degree course in Computational Linguistics with a focus on Digital Humanities at the University of Trier 

From 09/2019 - 06/2020: research assistant in the project "MiMoText" at TCDH

From 06/2020 - 01/2021 research assistant in the project "Zeta and Company"

2020: master's degree (thesis on sentiment analysis approaches in a medical context). Her research interests are in automatic text analysis and evaluation methods and machine learning.

Since 01/2021: research assistant at the chair of Prof. Dr. Christof Schöch, working in the project "Zeta and Company"

Since 03/2021: research assistant in the project CLS INFRA at the TCDH

Scholarships and Awards

Graduation scholarship from funds of the STIBET scholarship and support program of the German Academic Exchange Service (DAAD)


Du, K. & Dudar, J. & Schöch, C., (2022) Evaluation of Measures of Distinctiveness. Classification of Literary Texts on the Basis of Distinctive Words. Journal of Computational Literary Studies 1(1). https://doi.org/10.48694/jcls.102.

Du, Keli, Dudar, Julia, Rok, Cora, & Schöch, Christof. (2022, March 7). Kontrastive Textanalyse mit pydistinto - Ein Python-Paket zur Nutzung unterschiedlicher Distinktivitätsmaße. DHd 2022 Kulturen des digitalen Gedächtnisses. 8. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" (DHd 2022), Potsdam. https://doi.org/10.5281/zenodo.6327967.

Christof Schöch, Evgeniia Fileva, Julia Dudar: Baseline Methodological User Needs Analysis (=D 3.1). CLS INFRA / Zenodo, 2022. – DOI: 10.5281/zenodo.6389332.

Du, K., Dudar, J., Rok, C., & Schöch, C. (2021). Zeta & Eta: An Exploration and Evaluation of Two Dispersion-based Measures of Distinctiveness. Proceedings Computational Humanities Research 2021, 1613, 0073. http://ceur-ws.org/Vol-2989/.

Schröter, J., Du, K., Dudar, J., Rok, C., & Schöch, C. (2021). From Keyness to Distinctiveness–Triangulation and Evaluation in Computational Literary Studies. Journal of Literary Theory15(1-2), 81-108. https://doi.org/10.1515/jlt-2021-2011.


Christof Schöch, Keli Du, Julia Dudar und Cora Rok: Deviation of Proportions as the Basis for a Keyness Measure“ bei der 43. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft (DGfS): Modell und Evidenz, Albert-Ludwigs-Universität Freiburg im Breisgau, 26.02.2021

Julia Dudar, Keli Du, Cora Rok und Christof Schöch: Workshop "Kontrastive Analyse literarischer Texte mit Zeta”, vDhd 2021, 24.3.2021 und 15.09.2021 (https://vdhd2021.hypotheses.org/185)