Work

Translating named entities using monolingual and bilingual resources

Year: 2001

Type: conference-paper

Abstract: Named entity phrases are some of the most difficult phrases to translate because new phrases can appear from nowhere, and because many are domain specific, not to be found in bilingual dictionaries. We present a novel algorithm for translating named entity phrases using easily obtainable monolingual and bilingual resources. We report on the application and evaluation of this algorithm in translating Arabic named entities to English. We also compare our results with the results obtained from human translations and a commercial system for the same task.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.3115/1073083.1073150

Authors: Yaser Al-Onaizan, Kevin Knight

Institution: University of Southern California

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Defense Advanced Research Projects Agency

OpenAlex ID: W2150028966

FWCI: 4.899

Cites: 5

Cited by: 211

Related to: 10