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Publications

2025

  • Chifligarov, M., Laâguidi, J., Schellenberg, M., Dill, A., Timukova, A., Drackert, A., & Laarmann-Quante, R. (2025). Automated scoring of a German written elicited imitation test. Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), 237–247. [Link]

  • Kochmar, E., Alhafni, B., Bexte, M., Burstein, J., Horbach, A., Laarmann-Quante, R., Tack, A., Yaneva, V., & Yuan, Z. (Eds.). (2025). Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025). Association for Computational Linguistics. [Link]

2024

  • Dipper, S., & Laarmann-Quante, R. (2024). UD for German poetry. Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities, 177–188. [Link]

  • Laarmann-Quante, R., Chandler, C., Incirkus, N., Ruban, V., Solopov, A., & Steen, L. (2024). A multilingual dataset of adversarial attacks to automatic content scoring systems. In P. H. Luz de Araujo, A. Baumann, D. Gromann, B. Krenn, B. Roth, & M. Wiegand (Eds.), Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024) (pp. 326–338). Association for Computational Linguistics. [Link]

  • Laâguidi, J., Neumann, D., Laarmann-Quante, R., Dipper, S., & Chifligarov, M. (2024). Complexity of German texts written by primary school children. In P. H. Luz de Araujo, A. Baumann, D. Gromann, B. Krenn, B. Roth, & M. Wiegand (Eds.), Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024) (pp. 32–39). Association for Computational Linguistics. [Link]
  • Laarmann-Quante, R., Müller, M., & Belke, E. (2024). Automatic extraction of nominal phrases from German learner texts of different proficiency levels. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (S. 1925–1931). ELRA and ICCL. Torino, Italy. [Link]
  • Kochmar, E., Bexte, M., Burstein, J., Horbach, A., Laarmann-Quante, R., Tack, A., Yaneva, V., & Yuan, Z. (Eds.). (2024). Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). Association for Computational Linguistics. [Link]

2023

  • Schwarz, L., & Laarmann-Quante, R. (2023). Automated scoring of spelling mistakes in short answers. Conference Proceedings of the ALTE 8th International Conference: Language Assessment Fit for the Future (ALTE, 2023), (pp. 25–29). Madrid, Spain. [Link]
  • Mousa, A., Laarmann-Quante, R., & Horbach, A. (2023). Manual and automatic identification of similar arguments in EFL learner essays. Proceedings of the 12th Workshop on NLP for Computer Assisted Language Learning, (pp. 85–93). Tórshavn, Faroe Islands. [Link]
  • Kochmar, E., Burstein, J., Horbach, A., Laarmann-Quante, R., Madnani, N., Tack, A., Yaneva, V., Yuan, Z., & Zesch, T. (Eds.). (2023). Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023). Association for Computational Linguistics. [Link]
  • Horbach, A., Pehlke, J., Laarmann-Quante, R., & Ding, Y. (2023). Crosslingual content scoring in five languages using machine-translation and multilingual transformer models. International Journal of Artificial Intelligence in Education. [Link]
  • Gold, C., Laarmann-Quante, R., & Zesch, T. (2023). Recognizing learner handwriting retaining orthographic errors for enabling fine-grained error feedback. Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), (pp. 352–360). Toronto, Canada. [Link]
  • Gold, C., Laarmann-Quante, R., & Zesch, T. (2023). Preserving the authenticity of handwritten learner language: Annotation guidelines for creating transcripts retaining orthographic features. Proceedings of the Workshop on Computation and Written Language (CAWL 2023), (pp. 14–21). Toronto, Canada. [Link]

2022

  • Laarmann-Quante, R., Prepens, L., & Zesch, T. (2022). Evaluating automatic spelling correction tools on German primary school children’s misspellings. Proceedings of the 11th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL) (pp. 95–107). Louvain-la-Neuve, Belgium. [Link]
  • Horbach, A., Laarmann-Quante, R., Liebenow, L., Jansen, T., Keller, S., Meyer, J., Zesch, T., & Fleckenstein, J. (2022). Bringing automatic scoring into the classroom – Measuring the impact of automated analytic feedback on student writing performance. Proceedings of the 11th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL) (pp. 72–83). Louvain-la-Neuve, Belgium. [Link]
  • Laarmann-Quante, R., Schwarz, L., Horbach, A., & Zesch, T. (2022). ‘Meet me at the ribary’ – Acceptability of spelling variants in free-text answers to listening comprehension prompts. In Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) (pp. 173-182). Seattle, Washington, USA. [Link]
  • Bexte, M., Laarmann-Quante, R., Horbach, A., & Zesch, T. (2022). LeSpell - A multi-lingual benchmark corpus of spelling errors to develop spellchecking methods for learner language. In Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC-2022) (pp. 697–706). Marseille, Frankreich. [Link]
  • Kochmar, E., Burstein, J., Horbach, A., Laarmann-Quante, R., Madnani, N., Tack, A., Yaneva, V., Yuan, Z., & Zesch, T. (Eds.). (2022). Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022). Association for Computational Linguistics. [Link]

2021

  • Laarmann-Quante, R. (2021). Prediction of spelling errors in freely-written texts of German primary school children. (Doctoral dissertation, Ruhr-Universität Bochum, Universitätsbibliothek). [Link]
  • Burstein, J., Horbach, A., Kochmar, E., Laarmann-Quante, R., Leacock, C., Madnani, N., Pilán, I., Yannakoudakis, H., & Zesch, T. (Eds.). (2021). Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics. [Link]
  • Laarmann-Quante, R. (2021). Rechtschreibfehler. In I. Wischer, R. Weingarten, I. H. Warnke, P. Uzonyi, P. Stekeler-Weithofer, C. Spieß, D. Schoenefeld, D. Schmidt-Brücken, S. J. Schierholz, S. Sahel, J. Rymarczyk, P. Rosenberg, B. Pompino-Marschall, S. Olsen, S. Niemeier, M. Neef, S. Naumann, P. O. Müller, E. Meineke, … K. Casemir (Eds.), Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online. De Gruyter. [Link]
  • Laarmann-Quante, R. (2021). Fehleranalyse. In I. Wischer, R. Weingarten, I. H. Warnke, P. Uzonyi, P. Stekeler-Weithofer, C. Spieß, D. Schoenefeld, D. Schmidt-Brücken, S. J. Schierholz, S. Sahel, J. Rymarczyk, P. Rosenberg, B. Pompino-Marschall, S. Olsen, S. Niemeier, M. Neef, S. Naumann, P. O. Müller, E. Meineke, … K. Casemir (Eds.), Wörterbücher zur Sprach- und Kommunikationswissenschaft (WSK) Online. De Gruyter. [Link]
  • Zesch, T., Horbach, A., & Laarmann-Quante, R. (2021). Künstliche Intelligenz in der Bildung: Wie Sprachtechnologie Lehrende unterstützen kann. Unikate: Berichte Aus Forschung Und Lehre, 56: Junge Wilde-Die nächste Generation, 94–103. [Link]

2019

  • Laarmann-Quante, R., Ehlert, A., Ortmann, K., Scholz, D., Betken, C., Knichel, L., Masloch, S., & Dipper, S. (2019). The Litkey spelling error annotation scheme: Guidelines for the annotation of orthographic errors in German texts. Bochumer Linguistische Arbeitsberichte (BLA), Vol. 23. [Link]
  • Laarmann-Quante, R., Dipper, S., & Belke, E. (2019). The making of the Litkey Corpus, a richly annotated longitudinal corpus of German texts written by primary school children. In Proceedings of the 13th Linguistic Annotation Workshop (pp. 43–55). Florenz, Italien.  [Link]
  • Laarmann-Quante, R., Ortmann, K., Ehlert, A., Masloch, S., Scholz, D., Belke, E., & Dipper, S. (2019). The Litkey Corpus: A richly annotated longitudinal corpus of German texts written by primary school children. Behavior Research Methods 51(4), 1889–1918. [Link]

2017

  • Laarmann-Quante, R., Ortmann, K., Ehlert, A., Vogel, M., & Dipper, S. (2017). Annotating orthographic target hypotheses in a German L1 learner corpus. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA) (pp. 444–456). Kopenhagen, Dänemark. [Link]
  • Laarmann-Quante, R. (2017). Towards a tool for automatic spelling error analysis and feedback generation for freely written German texts produced by primary school children. In Proceedings of the Seventh ISCA Workshop on Speech and Language Technology in Education (SLaTE) (pp. 36–41). Stockholm, Schweden. [Link]
  • Laarmann-Quante, R., Ortmann, K., Ehlert, A., Betken, C., Dipper, S., & Knichel, L. (2017). Guidelines for the manual transcription and orthographic normalization of handwritten German texts produced by primary school children. Bochumer Linguistische Arbeitsberichte (BLA), Vol. 20. [Link]

2016

  • Laarmann-Quante, R. (2016). Automating multi-level annotations of orthographic properties of German words and children’s spelling errors. In Proceedings of the 2nd Language Teaching, Learning and Technology Workshop (LTLT) (pp. 14-22). San Francisco, USA. [Link]   
  • Laarmann-Quante, R. Knichel, L., Dipper, S., & Betken, C. (2016). Annotating spelling errors in German texts produced by primary school children. In Proceedings of the ACL Linguistic Annotation Workshop (LAW X) (pp. 32-42). Berlin, Deutschland. [Link]
  • Laarmann-Quante, R., & Dipper, S. (2016). An annotation scheme for the comparison of different genres of social media with a focus on normalization. In Proceedings of the LREC-Workshop on Normalisation and Analysis of Social Media Texts (NormSoMe) (pp. 23–30). Portorož, Slovenien. [Link]

2014

  • Stevens, J. S., Benz, A., Reuße, S., Laarmann-Quante, R., & Klabunde, R. (2014). Indirect answers as potential solutions to decision problems. Proceedings of the 18th Workshop on the Semantics and Pragmatics of Dialogue, 145–153. [Link]