ADIDA: Automatic dialect identification for Arabic

Ossama Obeid; Mohammad Salameh; Houda Bouamor; Nizar Habash

ADIDA: Automatic dialect identification for Arabic

Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This demo paper describes ADIDA, a webbased system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.

Original language	English (US)
Title of host publication	NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies - Proceedings of the Demonstrations Session
Publisher	Association for Computational Linguistics (ACL)
Pages	6-11
Number of pages	6
ISBN (Electronic)	9781950737161
State	Published - 2019
Event	2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019 - Minneapolis, United States Duration: Jun 2 2019 → Jun 7 2019

Publication series

Name	NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session

Conference

Conference	2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019
Country/Territory	United States
City	Minneapolis
Period	6/2/19 → 6/7/19

ASJC Scopus subject areas

Language and Linguistics
Computer Science Applications
Linguistics and Language

Cite this

Obeid, O., Salameh, M., Bouamor, H., & Habash, N. (2019). ADIDA: Automatic dialect identification for Arabic. In NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session (pp. 6-11). (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session). Association for Computational Linguistics (ACL).

ADIDA: Automatic dialect identification for Arabic. / Obeid, Ossama; Salameh, Mohammad; Bouamor, Houda et al.
NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), 2019. p. 6-11 (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Obeid, O, Salameh, M, Bouamor, H & Habash, N 2019, ADIDA: Automatic dialect identification for Arabic. in NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session, Association for Computational Linguistics (ACL), pp. 6-11, 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019, Minneapolis, United States, 6/2/19.

Obeid O, Salameh M, Bouamor H, Habash N. ADIDA: Automatic dialect identification for Arabic. In NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL). 2019. p. 6-11. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session).

Obeid, Ossama ; Salameh, Mohammad ; Bouamor, Houda et al. / ADIDA : Automatic dialect identification for Arabic. NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session. Association for Computational Linguistics (ACL), 2019. pp. 6-11 (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session).

@inproceedings{339195661afe49f9a1ccebe6150cc1f5,

title = "ADIDA: Automatic dialect identification for Arabic",

abstract = "This demo paper describes ADIDA, a webbased system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.",

author = "Ossama Obeid and Mohammad Salameh and Houda Bouamor and Nizar Habash",

note = "Funding Information: Acknowledgments The work presented was made possible by grant NPRP 7-290-1-047 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors. We would like to thank David Wrisley and Yves Scherrer for their valuable feedback and insights. Publisher Copyright: {\textcopyright} 2019 The Association for Computational Linguistics.; 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019 ; Conference date: 02-06-2019 Through 07-06-2019",

year = "2019",

language = "English (US)",

series = "NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session",

publisher = "Association for Computational Linguistics (ACL)",

pages = "6--11",

booktitle = "NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics",

}

TY - GEN

T1 - ADIDA

T2 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2019

AU - Obeid, Ossama

AU - Salameh, Mohammad

AU - Bouamor, Houda

AU - Habash, Nizar

N1 - Funding Information: Acknowledgments The work presented was made possible by grant NPRP 7-290-1-047 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors. We would like to thank David Wrisley and Yves Scherrer for their valuable feedback and insights. Publisher Copyright: © 2019 The Association for Computational Linguistics.

PY - 2019

Y1 - 2019

N2 - This demo paper describes ADIDA, a webbased system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.

AB - This demo paper describes ADIDA, a webbased system for automatic dialect identification for Arabic text. The system distinguishes among the dialects of 25 Arab cities (from Rabat to Muscat) in addition to Modern Standard Arabic. The results are presented with either a point map or a heat map visualizing the automatic identification probabilities over a geographical map of the Arab World.

UR - http://www.scopus.com/inward/record.url?scp=85085658882&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85085658882&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85085658882

T3 - NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Demonstrations Session

SP - 6

EP - 11

BT - NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics

PB - Association for Computational Linguistics (ACL)

Y2 - 2 June 2019 through 7 June 2019

ER -

ADIDA: Automatic dialect identification for Arabic

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this