magyarlanc: A Tool for Morphological and Dependency Parsing of Hungarian
János Zsibrita, Veronika Vincze, Richárd Farkas · Recent Advances in Natural Language Processing · 2013
Hungarian is the stereotype of morphologically rich and free word order languages. Here, we introduce magyarlanc, a natural language toolkit developed for the linguistic preprocessing ‐ segmentation, morphological analysis, POS-tagging and dependency parsing ‐ of Hungarian texts. We hope that the free availability of the toolkit fosters the research not just on the Hungarian language but on all the morphologically rich languages in general. The main novelties of the tool are the application of a new harmonized morphological coding system of Hungarian, the datadriven approach and the integration of a dependency parser. The system is implemented in JAVA, hence it can be used in a platform-independent way.