@inproceedings{ozenc-etal-2018-moraz,
title = "{M}or{A}z: an Open-source Morphological Analyzer for {A}zerbaijani {T}urkish",
author = {{\"O}zen{\c{c}}, Berke and
Ehsani, Razieh and
Solak, Ercan},
editor = "Blanco, Eduardo and
Lu, Wei",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D18-2005",
doi = "10.18653/v1/D18-2005",
pages = "25--29",
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.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ozenc-etal-2018-moraz">
<titleInfo>
<title>MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish</title>
</titleInfo>
<name type="personal">
<namePart type="given">Berke</namePart>
<namePart type="family">Özenç</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Razieh</namePart>
<namePart type="family">Ehsani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ercan</namePart>
<namePart type="family">Solak</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2018-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Eduardo</namePart>
<namePart type="family">Blanco</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wei</namePart>
<namePart type="family">Lu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Brussels, Belgium</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<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.</abstract>
<identifier type="citekey">ozenc-etal-2018-moraz</identifier>
<identifier type="doi">10.18653/v1/D18-2005</identifier>
<location>
<url>https://aclanthology.org/D18-2005</url>
</location>
<part>
<date>2018-11</date>
<extent unit="page">
<start>25</start>
<end>29</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish
%A Özenç, Berke
%A Ehsani, Razieh
%A Solak, Ercan
%Y Blanco, Eduardo
%Y Lu, Wei
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F ozenc-etal-2018-moraz
%X 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.
%R 10.18653/v1/D18-2005
%U https://aclanthology.org/D18-2005
%U https://doi.org/10.18653/v1/D18-2005
%P 25-29
Markdown (Informal)
[MorAz: an Open-source Morphological Analyzer for Azerbaijani Turkish](https://aclanthology.org/D18-2005) (Özenç et al., EMNLP 2018)
ACL