This repository provides the resources introduced within the article:
Abstract Meaning Representation of Turkish accepted for publication in Natural Language Engineering, Cambridge Press.
Abstract meaning representation (AMR) is a graph-based sentence-level meaning representation. Although it is originally designed for English, its adaptation to non-English languages is possible by defining language-specific divergences and representations. We introduce the first AMR representation framework for Turkish; agglutinative, free constituent order, morphologically highly rich. Besides this main contribution, the article also presents the construction of the first AMR corpus of 700 sentences, the first AMR parser (i.e., a tree-to-graph rule-based AMR parser)
Other resources introduced within the same article may be found at the following GitHub repositories:
the first Turkish AMR Corpus: turkish-amr-corpus
the first Turkish AMR Parser: turkish-amr-parser
This guideline provides our Turkish AMR annotation schema. In turkish-amr.md Turkish samples and Turkish specific AMR constructions are provided.
- For the explanation of the general AMR concepts, the reader is directed to the English AMR guidelines amr-guidelines by provided links.
- Turkish AMR uses Turkish Propbank for the predicates.
All contributions welcome!
Oral, E., Acar, A., & Eryiğit, G. (2022). Abstract Meaning Representation of Turkish. Natural Language Engineering, 1-33. doi:coming
Shield:
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
