Work

CUFE$@$QALB-2015 Shared Task: Arabic Error Correction System

Year: 2015

Type: conference-paper

Abstract: In this paper we describe the implementation of an Arabic error correction system developed for the WANLP-2015 shared task on automatic error correction for Arabic text. We proposed improvements to a previous statistical rule based system, where we use the words patterns to improve the error correction, also we have used a statistical system the syntactic error correction rules. The system achieves an F-score of 0.7287 on the Aljtest-2015 dataset, and an F-score of 0.3569 on the L2-test-2015 dataset.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/w15-3215

Author: Michael Nawar

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2251363456

FWCI: 0.564

Cites: 17

Cited by: 14

Related to: 10