Martin studied Linguistics at the University of Groningen, followed by a joint-degree master’s programme in Language and Communication Technologies at the same university and the University of Lorraine in Nancy, France. In 2022, he obtained his PhD from Leiden University with a dissertation on the automatic detection of syntactic differences between languages. He subsequently held several postdoctoral positions at Utrecht University, where he contributed to the development of a search engine for Dutch multiword expressions and a program for the semi-automatic grammatical analysis of spontaneous language produced by Dutch-speaking children and patients with aphasia. At the same time, he lectured at the Leiden University Centre for Digital Humanities (LUCDH) and worked with CLARIAH on promoting the use of linguistic tools and datasets in Dutch linguistic research and education.
Since October 2025, Martin has been working as a researcher-linguist at the Dutch Language Institute (INT). Here, he contributes to the expansion of existing lexical resources and the development of a central knowledge base. His research interests include sentence constructions, language variation, and etymology, as well as the role computational linguistics can play in these areas. In this capacity, he is committed to developing linguistic software to support fundamental linguistic research.
Publications
- Martin Kroon & Jan Odijk. (2024). MWE-Finder: An evaluation through three case studies. In Selected papers from the CLARIN Annual Conference 2023. Linköping Electronic Conference Proceedings. https://doi.org/10.3384/ecp210009
- Jan Odijk, Martin Kroon, Tijmen Baarda, Ben Bonfil & Sheean Spoel. (2024). MWE-Finder: A Demonstration. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 12027–12031, Torino, Italia. ELRA and ICCL.
- Jan Odijk & Martin Kroon. (2024). A Canonical Form for Flexible Multiword Expressions. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 91–101, Torino, Italia. ELRA and ICCL.
- Jan Odijk, Martin Kroon, Sheean Spoel, Ben Bonfil & Tijmen Baarda. (2024). MWE-Finder: Querying for multiword expressions in large Dutch text corpora. In Voula Giouli & Verginica Barbu Mititelu (Eds.), Multiword expressions in lexical resources (pp. 229–267). Language Science Press. https://doi.org/10.5281/zenodo.10998643
- Martin S. Kroon. (2022). Towards the automatic detection of syntactic differences [Doctoral dissertation, Leiden University]. Landelijke Onderzoeksschool Taalwetenschap. https://doi.org/10.48273/LOT0629
- Martin Kroon, Sjef Barbiers, Jan Odijk & Stéphanie van der Pas. (2020). Detecting syntactic differences automatically using the minimum description length principle. Computational Linguistics in the Netherlands Journal, 10, 109–127.
- Martin Kroon, Sjef Barbiers, Jan Odijk & Stéphanie van der Pas. (2019). A filter for syntactically incomparable parallel sentences. Linguistics in the Netherlands, 36(1), 147–161. https://doi.org/10.1075/avt.00029.kro
- Martin Kroon, Masha Medvedeva & Barbara Plank. (2018). When Simple n-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish. In Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2018), pages 244–253, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Maria Medvedeva, Martin Kroon & Barbara Plank. (2017). When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages. In Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), pages 156–163, Valencia, Spain. Association for Computational Linguistics. https://doi.org/10.18653/v1/W17-1219
- Martijn Wieling, Martin Kroon, Gertjan van Noord & Gosse Bouma (Eds.). (2017). From Semantics to Dialectometry: Festschrift in honor of John Nerbonne. (Tributes; Vol. 32). College Publications.