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Found 7 papers, 0 papers with code
Building the Turkish FrameNet
FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments.
From Constituency to UD-Style Dependency: Building the First Conversion Tool of Turkish
Within the scope of this project, these Turkish phrase structure trees were automatically converted into UD-style dependency structures, using both a rule-based algorithm and a machine learning algorithm specific to the requirements of the Turkish language.
Morpholex Turkish: A Morphological Lexicon for Turkish
MorphoLex is a study in which root, prefix and suffixes of words are analyzed.
Time Travel in Turkish: WordNets for Modern Turkish
In this paper, we present new WordNets for Turkish each of which is based on one of the first 9 editions of the Turkish dictionary starting from the 1944 edition.
A Learning-Based Dependency to Constituency Conversion Algorithm for the Turkish Language
A comprehensive and manually annotated UD-style dependency treebank was the input, and constituency trees were the output of the conversion algorithm.
Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish
In this study, we aim to offer linguistically motivated solutions to resolve the issues of the lack of representation of null morphemes, highly productive derivational processes, and syncretic morphemes of Turkish in the BOUN Treebank without diverging from the Universal Dependencies framework.
BoAT v2 - A Web-Based Dependency Annotation Tool with Focus on Agglutinative Languages
BoAT v2 is a multi-user and web-based dependency annotation tool that is designed with a focus on the annotator user experience to yield valid annotations.
