Work

Cross linguistic name matching in English and Arabic

Year: 2006

Type: conference-paper

Abstract: This paper presents a solution to the problem of matching personal names in English to the same names represented in Arabic script. Standard string comparison measures perform poorly on this task due to varying transliteration conventions in both languages and the fact that Arabic script does not usually represent short vowels. Significant improvement is achieved by augmenting the classic Levenshtein edit-distance algorithm with character equivalency classes.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.3115/1220835.1220895

Authors: Andrew T. Freeman, Sherri L. Condon, Christopher M. Ackerman

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W1573344341

FWCI: 7.607

Cites: 8

Cited by: 65

Related to: 10