@inproceedings{hanani-etal-2017-identifying,
title = "Identifying dialects with textual and acoustic cues",
author = "Hanani, Abualsoud and
Qaroush, Aziz and
Taylor, Stephen",
editor = {Nakov, Preslav and
Zampieri, Marcos and
Ljube{\v{s}}i{\'c}, Nikola and
Tiedemann, J{\"o}rg and
Malmasi, Shevin and
Ali, Ahmed},
booktitle = "Proceedings of the Fourth Workshop on {NLP} for Similar Languages, Varieties and Dialects ({V}ar{D}ial)",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-1211",
doi = "10.18653/v1/W17-1211",
pages = "93--101",
abstract = "We describe several systems for identifying short samples of Arabic or Swiss-German dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017). The Arabic data comprises both text and acoustic files, and our best run combined both. The Swiss-German data is text-only. Coincidently, our best runs achieved a accuracy of nearly 63{\%} on both the Swiss-German and Arabic dialects tasks.",
}
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<abstract>We describe several systems for identifying short samples of Arabic or Swiss-German dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017). The Arabic data comprises both text and acoustic files, and our best run combined both. The Swiss-German data is text-only. Coincidently, our best runs achieved a accuracy of nearly 63% on both the Swiss-German and Arabic dialects tasks.</abstract>
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%0 Conference Proceedings
%T Identifying dialects with textual and acoustic cues
%A Hanani, Abualsoud
%A Qaroush, Aziz
%A Taylor, Stephen
%Y Nakov, Preslav
%Y Zampieri, Marcos
%Y Ljubešić, Nikola
%Y Tiedemann, Jörg
%Y Malmasi, Shevin
%Y Ali, Ahmed
%S Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F hanani-etal-2017-identifying
%X We describe several systems for identifying short samples of Arabic or Swiss-German dialects, which were prepared for the shared task of the 2017 DSL Workshop (Zampieri et al., 2017). The Arabic data comprises both text and acoustic files, and our best run combined both. The Swiss-German data is text-only. Coincidently, our best runs achieved a accuracy of nearly 63% on both the Swiss-German and Arabic dialects tasks.
%R 10.18653/v1/W17-1211
%U https://aclanthology.org/W17-1211
%U https://doi.org/10.18653/v1/W17-1211
%P 93-101
Markdown (Informal)
[Identifying dialects with textual and acoustic cues](https://aclanthology.org/W17-1211) (Hanani et al., VarDial 2017)
ACL
- Abualsoud Hanani, Aziz Qaroush, and Stephen Taylor. 2017. Identifying dialects with textual and acoustic cues. In Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), pages 93–101, Valencia, Spain. Association for Computational Linguistics.