For a further description of the publications described, please refer to the Research page.
- Dekker, P. & Schoonheim, T. (2019). Crowdsourcing Language Resources for Dutch using PYBOSSA: Case Studies on Blends, Neologisms and Language Variation. In Proceedings of the enetCollect WG3&WG5 Meeting, 24-25 October 2018, Leiden, Netherlands. [pdf]
- Dekker, P. (2018). Reconstructing language ancestry by performing word prediction with neural networks (Master’s thesis). [pdf]
- Balog, K., Schuth, A., Dekker, P., Schaer, P., Chuang, P., & Tavakolpoursaleh, N. (2016). Overview of the trec 2016 open search track. In Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016). NIST. [pdf] [bib]
- Dekker, P. (2014). Determining Dutch dialect phylogeny using bayesian inference (Bachelor’s thesis). [pdf] [bib] [html alignments]
- Neural networks help discover how languages are related, blog on MSc thesis, ILLC CLC Lab website, 19-11-2019.
- Ga lekker zitten, Dutch blog on usage of lekker using crowdsourcing research, with Laura van Eerten, Neerlandistiek.nl, 28-02-2019.