ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43957163" target="_blank" >RIV/49777513:23520/19:43957163 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.18653/v1/W19-4623" target="_blank" >http://dx.doi.org/10.18653/v1/W19-4623</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/W19-4623" target="_blank" >10.18653/v1/W19-4623</a>
Alternative languages
Result language
angličtina
Original language name
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects
Original language description
In this paper, we present our systems for the MADAR Shared Task: Arabic Fine-Grained Dialect Identification. The shared task consists of two subtasks. The goal of Subtask–1 (S-1) is to detect an Arabic city dialect in a given text and the goal of Subtask–2 (S-2) is to predict the country of origin of a Twitter user by using tweets posted by the user. In S-1, our proposed systems are based on language modelling. We use language models to extract features that are later used as an input for other machine learning algorithms. We also experiment with recurrent neural networks (RNN), but these experiments showed that simpler machine learning algorithms are more successful. Our system achieves 0.658 macro F1-score and our rank is 6 th out of 19 teams in S-1 and 7 th in S-2 with 0.475 macro F1-score.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů