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Towards Understanding Egyptian Arabic Dialogues

by Abdelrahim A. Elmadany, Sherif M. Abdou, Mervat Gheith
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 22
Year of Publication: 2015
Authors: Abdelrahim A. Elmadany, Sherif M. Abdou, Mervat Gheith
10.5120/21390-4427

Abdelrahim A. Elmadany, Sherif M. Abdou, Mervat Gheith . Towards Understanding Egyptian Arabic Dialogues. International Journal of Computer Applications. 120, 22 ( June 2015), 7-12. DOI=10.5120/21390-4427

@article{ 10.5120/21390-4427,
author = { Abdelrahim A. Elmadany, Sherif M. Abdou, Mervat Gheith },
title = { Towards Understanding Egyptian Arabic Dialogues },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 22 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number22/21390-4427/ },
doi = { 10.5120/21390-4427 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:07:04.617507+05:30
%A Abdelrahim A. Elmadany
%A Sherif M. Abdou
%A Mervat Gheith
%T Towards Understanding Egyptian Arabic Dialogues
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 22
%P 7-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Labelling of user's utterances to understanding his attends which called Dialogue Act (DA) classification, it is considered the key player for dialogue language understanding layer in automatic dialogue systems. In this paper, we proposed a novel approach to user's utterances labeling for Egyptian spontaneous dialogues and Instant Messages using Machine Learning (ML) approach without relying on any special lexicons, cues, or rules. Due to the lack of Egyptian dialect dialogue corpus, the system evaluated by multi-genre corpus includes 4725 utterances for three domains, which are collected and annotated manually from Egyptian call-centers. The system achieves F1 scores of 70. 36% overall domains.

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Index Terms

Computer Science
Information Sciences

Keywords

Dialogue Act Classification Arabic Dialogue Understanding Egyptian Arabic Dialect Arabic Instant Messages.

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