MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish

Berke Özenç, Razieh Ehsani, Ercan Solak


Abstract
MorAz is an open-source morphological analyzer for Azerbaijani Turkish. The analyzer is available through both as a website for interactive exploration and as a RESTful web service for integration into a natural language processing pipeline. MorAz implements the morphology of Azerbaijani Turkish in two-level using Helsinki finite-state transducer and wraps the analyzer with python scripts in a Django instance.
Anthology ID:
D18-2005
Original:
D18-2005v1
Version 2:
D18-2005v2
Volume:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2018
Address:
Brussels, Belgium
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
25–29
Language:
URL:
https://aclanthology.org/D18-2005
DOI:
10.18653/v1/D18-2005
Bibkey:
Cite (ACL):
Berke Özenç, Razieh Ehsani, and Ercan Solak. 2018. MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 25–29, Brussels, Belgium. Association for Computational Linguistics.
Cite (Informal):
MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish (Özenç et al., EMNLP 2018)
Copy Citation:
PDF:
https://aclanthology.org/D18-2005.pdf