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Found 13 papers, 1 papers with code
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.
WordNet and Wikipedia Connection in Turkish WordNet KeNet
This paper aims to present WordNet and Wikipedia connection by linking synsets from Turkish WordNet KeNet with Wikipedia and thus, provide a better machine-readable dictionary to create an NLP model with rich data.
English-Turkish Parallel Semantic Annotation of Penn-Treebank
This paper reports our efforts in constructing a sense-labeled English-Turkish parallel corpus using the traditional method of manual tagging.
Comparing Sense Categorization Between English PropBank and English WordNet
Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging.
Introducing StarDust: A UD-based Dependency Annotation Tool
This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies.
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.
HisNet: A Polarity Lexicon based on WordNet for Emotion Analysis
Dictionary-based methods in sentiment analysis have received scholarly attention recently, the most comprehensive examples of which can be found in English.
Turkish WordNet KeNet
Currently, there are two available wordnets for Turkish: TR-wordnet of BalkaNet and KeNet.
Creating Domain Dependent Turkish WordNet and SentiNet
In the sentiment analysis we did with the data we received on the Tourism WordNet, we performed a domain-specific sentiment analysis study by annotating the data.
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.
Multivariate Comparison of Classification Algorithms
For example, error is the sum of false positives and false negatives and a univariate test on error cannot make a distinction between these two sources, but a 2-variate test can.
