Creating A Syntactically Felicitous Constituency Treebank For Turkish

By Neslihan Kara, Büsra Marsan, Merve Özçelik, Bilge Nas Arıcan, Aslı Kuzgun, Neslihan Cesur, Deniz Baran Aslan, Olcay Taner Yildiz. 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), 2020

3 citations recorded by the source corpus.

In this study, Bakay et. al [1] and Yıldız et. al.’s [2] work on Turkish constituency treebanks were developed further. Compared to the previous work, the most prominent feature of this study is the fact that every annotation and refinement process is held manually. In addition, constituency treebank created as a result of this study abides by the syntactic rules and typologic features of Turkish while the trees created by previous studies convey only the translated and simply inverted trees that completely ignore the syntactic properties of Turkish. The methodology followed in this study resulted in a significantly more accurate representation of Turkish language and simpler, relatively flatter trees. The straightforward style of trees in this study reduces the complexity and offers a better training dataset for learning algorithms.

Subfields: Language and Linguistics, Natural Language Processing, Computational Linguistics & Semantics

View Paper: https://doi.org/10.1109/ASYU50717.2020.9259873

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Citations in the corpus

Parallel Trees: a novel resource with aligned dependency and constituency syntactic representations (2025, unknown): “For what concerns C-SRP, we considered the annotation scheme of the Penn Treebank (PTB) originally developed for English (Marcus et al., 1994).”
Resources for Turkish natural language processing: A critical survey (2022, methodology): “Another early attempt of parallel treebanking is the constituency treebank described by Yıldız et al. (2014) and Kara et al. (2020b).”
From Constituency to UD-Style Dependency: Building the First Conversion Tool of Turkish (2021, methodology): “We preferred using The Turkish Penn Treebank in our conversion study as it offered an accurate and less complicated constituency tree-bank that is necessary for the demands of our conversion tool.”