Agić, Ž., Aranzabe, M., Atutxa, A., Bosco, C., Choi, J., Marneffe, M.-C. de, Dozat, T., Farkas, R., Foster, J., Ginter, F., Goenaga, I., Gojenola, K., Goldberg, Y., Hajič, J., Johannsen, A., Kanerva, J., Kuokkala, J., Laippala, V., Lenci, A., … Zeman, D. (2015). Universal Dependencies 1.1. LINDAT/CLARIN digital library at Institute of Formal and Applied Linguistics, Charles University in Prague.

Akbik, A., Blythe, D., & Vollgraf, R. (2018). Contextual String Embeddings for Sequence Labeling. 1638–1649.

Akbik, A., Bergmann, T., Blythe, D., Rasul, K., Schweter, S., & Vollgraf, R. (2019). FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP. Proceedings of the 2019 Conference of the North, 54–59. https://doi.org/10.18653/v1/N19-4010

Baillot, A., Tasovac, T., Scholger, W., & Vogeler, G. (2023). Digital Humanities 2023: Book of Abstracts. https://doi.org/10.5281/ZENODO.7961822

Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. International AAAI Conference on Weblogs and Social Media. http://www.aaai.org/ocs/index.php/ICWSM/09/paper/view/154

Bekius, L., Buschenhenke, F., van Dalen-Oskam, K., Eder, M., Mahlberg, M., Groes, B., Šeļa, A., & Wynne, M. (2024, May 14). Computational Literary Studies UK Training School [Training School]. https://www.wlv.ac.uk/research/research-centres/cttr---centre-for-transnational-and-transcultural-research/clsuk/

Benito-Santos, A., Muñoz, S., Sánchez Therón, R., & García Peñalvo, F. J. (2023). Characterizing the visualization design space of distant and close reading of poetic rhythm. Frontiers in Big Data, 6(1), 1167708. https://www.frontiersin.org/articles/10.3389/fdata.2023.1167708/full

Béranger, M., Heiden, S., & Lavrentiev, A. (2015). Reengineering Akkadian Tablets with TEI and TXM for Linguistic Analysis. TEI Conference and Members’ Meeting, 36. https://halshs.archives-ouvertes.fr/halshs-01318713

Bernal, I. (2024, June 23). CLS INFRA Training School Interview: Isabel Bernal (J. Tonra, Interviewer) [Interview]. https://youtu.be/gDvNw1LLOtU

Birkholz, J., Börner, I., Chambers, S., Charvat, V., Cinková, S., Dejaeghere, T., Dudar, J., Ďurčo, M., Eder, M., Edmond, J., Fileva, E., Fischer, F., Heiden, S., Křen, M., Kunda, B., Mrugalski, M., Murphy, C., Odebrecht, C., Raciti, M., … Van Rossum, L. (2022). Computational Literary Studies Infrastructure (CLS INFRA): a project to connect people, data, tools, and methods. Digital Humanities 2022: Conference Abstracts, 624–627.

Birkholz, J. M., Börner, I., Byszuk, J., Chambers, S., Charvat, V. M., Cinková, S., Dejaeghere, T., Dudar, J., Ďurčo, M., Eder, M., Edmond, J., Fileva, E., Fischer, F., Garnett, V., Heiden, S., Křen, M., Kunda, B., Laszakovits, S., Mrugalski, M., … van Rossum, L. (2023). Computational Literary Studies Infrastructure (CLS INFRA): Initial Findings and Conclusions for the Field: Literature by Numbers. Digital Humanities 2023: Book of Abstracts, 497–498. https://doi.org/10.5281/ZENODO.8107903

Birkholz, J. M., Cinková, S., Decorde, M., Heiden, S., Janssen, M., Křen, M., Pozo, A. P., Diego Fresno Fernandez, V., & Ros, S. (2024). CLS INFRA D8.2 Report and Prototypes for Annotation as Enrichment. https://doi.org/10.5281/zenodo.11093999

Birkholz, J. M., Börner, I., Byszuk, J., Chambers, S., Charvat, V., Cinková, S., Dejaeghere, T., Dijkstra, A., Dudar, J., Ďurčo, M., Eder, M., Edmond, J., Fileva, E., Garnett, V., Gouzi, F., Heiden, S., Hoover, S., Křen, M., Lefever, E., … Yakupova, V. (2024, May 1). Literary Methods for All: CLS INFRA 2024 Poster. https://doi.org/10.5281/ZENODO.12742275

Bloomfield, L., & Hockett, C. F. (1984). Language. University of Chicago Press. https://books.google.cz/books?id=87BCDVsmFE4C

Börner, I., & Trilcke, P. (2023). CLS INFRA D7.1 On Programmable Corpora. 10.5281/zenodo.7664964

Börner, I., Charvat, V. M., Ďurčo, M., Mrugalski, M., & Odebrecht, C. (2022). Computational Literary Studies Data Landscape Review. https://doi.org/10.5281/ZENODO.6327952

Börner, I., Trilcke, P., Milling, C., Fischer, F., & Sluyter-Gäthje, H. (2023). Dockerizing DraCor – A Container-based Approach to Reproducibility in Computational Literary Studies. Digital Humanities 2023: Book of Abstracts, 293–295. https://doi.org/10.5281/zenodo.8107835

Börner, I., Fischer, F., Milling, C., & Sluyter-Gäthje, H. (2022). Einführung in DraCor - Programmable Corpora für die digitale Dramenanalyse. DHd 2022: Kulturen Des Digitalen Gedächtnisses.

Börner, I., Charvat, V. M., Durco, M., Laszakovits, S., Mrugalski, M., & Resch, S. (2023). Enhancing Findability and Accessibility of Poetry Resources in Multi-genre Collections across Different Languages. In A. Baillot, T. Tasovac, W. Scholger, & G. Vogeler (Eds.), Digital Humanities 2023: Book of Abstracts (pp. 125–127). https://doi.org/10.5281/ZENODO.7961822

Börner, Ingo, Charvat, Vera Maria, Ďurčo, Matej, Mrugalski, Michał, & Odebrecht, Carolin. (2022). Computational Literary Studies Data Landscape Review. 272–273. https://doi.org/10.5281/ZENODO.6322462

Bresnan, J., Asudeh, A., Toivonen, I., & Wechsler, S. (2015). Lexical-Functional Syntax. Wiley. https://books.google.cz/books?id=4mr3CQAAQBAJ

Burnard, L. (2022, April 19). CLS INFRA TNA Fellow Lou Burnard (C. L. Murphy, Interviewer) [Interview]. https://www.youtube.com/watch?v=03w1BX-jRNk

Byungjun, K. (2024, July 3). Interview with CLS INFRA TNA Fellow Byungjun Kim (S. Hoover, Interviewer) [Interview]. https://youtu.be/qwHOrr6gDek

Calvo Tello, J., Rißler-Pipka, N., Barth, F., Jung, K., & Schöch, C. (2023). Questionnaire of the survey: How do you Compose your Literary Corpus or Literary Collection? https://doi.org/10.5281/ZENODO.10203623

Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., Parsons, M., Raseroka, K., Rodriguez-Lonebear, D., Rowe, R., Sara, R., Walker, J. D., Anderson, J., & Hudson, M. (2020). The CARE Principles for Indigenous Data Governance. Data Science Journal, 19, 43. https://doi.org/10.5334/dsj-2020-043

Ceresato, F., & Marcenaro, S. (2024, July 3). Digital Humanities and Medieval Romance Philology: Two Case Studies. https://youtu.be/4js7uo2c_T8; https://youtu.be/fzmFjeI3FK4

Chomsky, N., & Lightfoot, D. W. (2002). Syntactic Structures. Mouton de Gruyter. https://books.google.cz/books?id=a6a_b-CXYAkC

Christ, O. (1994). A modular and flexible architecture for an integrated corpus query system. Proceedings of COMPLEX’94: 3rd Conference on Computational Lexicography and Text Research, 23–32.

Christ, O., & Schulze, B. M. (1995). Ein flexibles und modulares Anfragesystem für Textcorpora. Tagungsbericht Des Arbeitstreffen Lexikon Und Text.

Explainer 8.1: Report of the Tools for Basic Natural Language Processing (NLP)Tasks. (2023, May 19). https://www.youtube.com/watch?v=7I8y5s2NX2A

Cinková, S., & Janssen, M. (2023). Towards a sustainable community effort: training NLP data for under-resourced language domains in CLS. TwinTalks 4: Understanding and Facilitating Remote Collaboration in Digital Humanities.

Cinková, S., Cvrček, V., Janssen, M., & Křen, M. (2022, June). CLS-INFRA TRAINING SCHOOL ON DATA AND ANNOTATION (Vol. 1) [Recorded lectures + pdf resources]. https://campus.dariah.eu/resource/events/cls-infra-training-school-on-data-and-annotation

Cinkova, S., Janssen, M., Cvrček, V., & Křen, M. (2022). CLS INFRA Prague Training School Hand-outs. https://doi.org/10.5281/ZENODO.7118693

Cinková, S., Cvrček, V., Janssen, M., & Křen, M. (2023). How Corpus Analysis Helps Operationalize Research Questions and Entices Literary Scholars to Learn Programming. Digital Humanities 2023: Book of Abstracts, 323–325. https://doi.org/10.5281/ZENODO.8107803

Cinková, S., Birkholz, J. M., Börner, I., Dejaeghere, T., Heiden, S., Janssen, M., Křen, M., & Pozo, A. P. (2023). CLS INFRA D8.1 Report of the tools for the basic Natural Language Processing (NLP) tasks in the CLS context. https://doi.org/10.5281/ZENODO.7951059

Cvrček, V. (2021). Calc: Corpus Calculator (1.04). https://korpus.cz/calc/

Cvrček, V., Čech, R., & Kubát, M. (2020). QuitaUp –  a tool for quantitative stylometric analysis. Czech National Corpus and University of Ostrava. https://korpus.cz/quitaup

Data-Bukowska, E. (2024, March 6). CLS INFRA TNA Fellow Ewa Data-Bukowska (S. Hoover, Interviewer) [Interview]. https://youtu.be/q7-https://youtu.be/swx0qSbmKhE1CSbsJkc

de la Rosa, J., Pérez, Á., Hern´andez, L., D´ıaz, A., Ros, S., & Gonz´alez-Blanco, E. (2021). PoetryLab as Infrastructure for the Analysis of Spanish Poetry. 75–82. https://doi.org/10.3384/ecp1809

de la Rosa, J., Pozo, Á. P., Ros, S., & González-Blanco, E. (2023). ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis. https://doi.org/10.48550/ARXIV.2307.01387

de Marneffe, M.-C., MacCartney, B., & Manning, C. D. (2006). Generating Typed Dependency Parses from Phrase Structure Parses. Proceedings of the IEEE / ACL 2006 Workshop on Spoken Language Technology. http://nlp.stanford.edu/pubs/LREC06_dependencies.pdf

Dejaeghere, T. (2022). Beyond Babylonian Confusion: a case-study based approach for multilingual NLP on historical literature. 1. https://drive.google.com/file/d/14Ump5sqJKsDv_Doc6xc0J7LloNCF82t5/view?usp=sharing

Dejaeghere, T., & Singh, P. (n.d.). Exploring aspect-based sentiment analysis methodologies for literary-historical research purposes. JOINT INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS, LANGUAGE RESOURCES AND EVALUATION. Lrec-Coling, Torino, Italia. https://lrec-coling-2024.org/conference-program/

Díaz, A., de la Rosa, J., Pérez, Á., Lorenzo, L. H., González-Blanco, E., & Ros, S. (2020). Averell a management tool to transform XML/TEI poetic corporain JSON POSTDATA ontology compliant. Zenodo. https://doi.org/10.5281/zenodo.5704837

Dimitrova, L., Erjavec, T., Ide, N., Kaalep, H. J., Petkevic, V., & Tufis, D. (1998). Multext-East: Parallel and Comparable Corpora and Lexicons for Six Central and Eastern European Languages. COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics. https://aclanthology.org/C98-1049

Ďurco, M., & Charvat, V. (2023, July 16). Stylometric Retreat.

Ďurčo, M., Charvat, V. M., Börner, I., Mrugalski, M., & Odebrecht, C. (2022). CLS INFRA D6.1 Inventory of existing data sources and formats. https://doi.org/10.5281/ZENODO.7520286

Ďurčo, M., Charvát, V. M., Resch, S., Börner, I., & Plank, L. (2023). CLS INFRA D6.3 Standards beyond TEI / Extended Transformation Matrix / Alternative Formats. https://doi.org/10.5281/ZENODO.10209607

Eder, M. (2021, February 11). A quick tour around the CLS INFRA project for computational literary studies. https://dhlunch.ijp.pan.pl/en/11-02-2022/

Eder, M. (2022). CLS INFRA: an infrastructural project.