On Building the Largest and Cross-Linguistic Turkish Dependency Corpus

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

9 citations recorded by the source corpus.

In this paper, we aim to introduce the dependency annotation process of the largest and the only cross-linguistic Turkish dependency treebank which was translated from the original Penn Treebank corpus. Within the scope of this project, 16.400 sentences have been morphologically and semantically annotated, and the dependency relations were manually carried out by a team of linguists. It is hoped that this project will serve as a base for a successful dependency parser and a system which can automatically perform the bi-directional conversion between constituency and dependency trees.

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

View Paper: https://doi.org/10.1109/ASYU50717.2020.9259799

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Citations in the corpus

An improved metric for estimating morphological information in corpora (2026, unknown): “Table 2 illustrates a Turkish sentence from the UD Turkish-Penn dataset (Kuzgun et al. 2020), where tokens are annotated for categories such as case, number, tense, aspect, and person.”
Agreement attraction in Turkish: the case of genitive attractors (2021, background): “Furthermore, data from annotated treebanks (Coltekin, 2015; Kuzgun et al., 2020; Sulubacak et al., 2016; Türk et al., 2021, november, 2019) showed that the relative probability of encountering accusative marking after the genitive-marked noun is 0.22, indicating that the accusative interpretation…”
From Dependency to CCG to Incremental CCG: Approaches to Flexible Word Order in Turkish (2026, unknown): “Kuzgun et al. (2023) developed a CCG lexicon for Turkish by automatically inducing CCG categories to each word token using part-of-speech, dependency tag and head-dependent relations within the UD framework (Kuzgun et al., 2020).”
A Semi-Automated Approach to the Annotation of Argument Structures in Turkish Datasets (2025, unknown): “Turkish ATIS (Cesur et al., 2024) and Turkish Penn Treebank (Kuzgun et al., 2020) are the adaptations of well-known NLP benchmarks, with ATIS focusing on flight-related queries (Hemphill et al., 1990) and Penn Treebank offering syntactically annotated sentences from the Wall Street Journal (Marcus…”
A CCGbank for Turkish: From Dependency to CCG (2023, methodology): “This corpus was first annotated according to an earlier version of the UD (Kuzgun et al., 2020), however, it is updated to fulfill the latest UD annotation standards (de Marneffe et al., 2021).”
Introducing StarDust: A UD-based Dependency Annotation Tool (2022, methodology): “Turkish Penn TreeBank : The Turkish version of Penn Treebank (Kuzgun et al., 2020) includes the translation of 17,000 sentences retrieved from the original Penn Treebank (Marcus et al., 1993).”
From Constituency to UD-Style Dependency: Building the First Conversion Tool of Turkish (2021, background): “There have been several attempts made to represent Turkish language in this project and to create a common framework in Turkish language treebank studies (Sulubacak et al., 2016); (Oﬂazer et al., 2003); (C¸¨oltekin, 2015) (Kuzgun et al., 2020).”