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Found 4 papers, 1 papers with code
TurkishDelightNLP: A Neural Turkish NLP Toolkit
We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentation, morphological tagging, part-of-speech tagging, dependency parsing, and semantic parsing, as well as high-level NLP tasks such as named entity recognition.
Turkish Universal Conceptual Cognitive Annotation
This is the initial version of the annotated dataset and we are currently extending the dataset.
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing
Graph-based representation is one of the semantic representation approaches to express the semantic structure of a text.
Joint PoS Tagging and Stemming for Agglutinative Languages
Our results show that joint POS tagging and stemming improves PoS tagging scores.
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