Work

Using Twitter to Collect a Multi-Dialectal Corpus of Arabic

Year: 2014

Type: conference-paper

Abstract: This paper describes the collection and classification of a multi-dialectal corpus of Arabic based on the geographical information of tweets.We mapped information of user locations to one of the Arab countries, and extracted tweets that have dialectal word(s).Manual evaluation of the extracted corpus shows that the accuracy of assignment of tweets to some countries (like Saudi Arabia and Egypt) is above 93% while the accuracy for other countries, such Algeria and Syria is below 70%.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.3115/v1/w14-3601

Authors: Hamdy Mubarak, Kareem Darwish

Institution: Qatar Foundation

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2252067490

FWCI: 4.908

Cites: 14

Cited by: 95

Related to: 10