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In this paper we investigated two different methods to parse relative andnoun complement clauses in English and resorted to distinct tags for theircorresponding that as a relative pronoun and as a complementizer. We used analgorithm to relabel a corpus parsed with the GUM Treebank using UniversalDependency. Our second experiment consisted in using TreeTagger, aProbabilistic Decision Tree, to learn the distinction between the twocomplement and relative uses of postnominal "that". We investigated the effectof the training set size on TreeTagger accuracy and how representative the GUMTreebank files are for the two structures under scrutiny. We discussed some ofthe linguistic and structural tenets of the learnability of this distinction.

Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision  Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative  Clauses