Published: 2017-09-13
ISBN: 978-91-7685-467-9
ISSN: 1650-3686 (print), 1650-3740 (online)
In this paper, we present a revision of the training set of the METU-Sabanci Turkish syntactic dependency treebank composed of 4997 sentences in accordance with the principles of the Meaning-Text Theory (MTT). MTT reflects the multilayered nature of language by a linguistic model in which each linguistic phenomenon is treated at its corresponding level(s). Our analysis of the METU-Sabanci syntactic relation tagset reveals that it encodes deepmorphological and surface-syntactic phenomena, which should be separated according to the MTT model. We propose an schema and show that this schema also allows for a sound projection of the obtained surface annotation onto a deepsyntactic annotation, as needed for the implementation of down-stream language understanding applications.
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