Work

The Columbia System in the QALB-2014 Shared Task on Arabic Error Correction

Year: 2014

Type: conference-paper

Abstract: The QALB-2014 shared task focuses on correcting errors in texts written in Modern Standard Arabic.In this paper, we describe the Columbia University entry in the shared task.Our system consists of several components that rely on machinelearning techniques and linguistic knowledge.We submitted three versions of the system: these share several core elements but each version also includes additional components.We describe our underlying approach and the special aspects of the different versions of our submission.Our system ranked first out of nine participating teams.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.3115/v1/w14-3622

Authors: Alla Rozovskaya, Nizar Habash, Ramy Eskander, Noura Farra, Wael Salloum

Institutions: New York University Abu Dhabi, Columbia University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2250504723

FWCI: 2.159

Cites: 17

Cited by: 20

Related to: 10