Work

Automatic Correction of Arabic Text: a Cascaded Approach

Year: 2014

Type: conference-paper

Abstract: This paper describes the error correction model that we used for the Automatic Correction of Arabic Text shared task. We employed two correction mod-els, namely a character-level model and a case-specific model, and two punctuation recovery mod-els, namely a simple statistical model and a CRF model. Our results on the development set suggest that using a cascaded correction model yields the best results. 1

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.3115/v1/w14-3617

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: W2251199546

FWCI: 1.178

Cites: 9

Cited by: 16

Related to: 10