Combining black-box taggers and parsers for modern standard Arabic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Authors:
  • Maytham Alabbas
  • Allan Ramsay

Abstract

A number of trainable dependency parsers have been presented in the literature. These parsers require tagged input: this may potentially cause a problem, because taggers are not in general 100% accurate, and any errors in tagging are likely to lead to errors in the output of the parsers. The current paper investigates the relationship between tagging errors and parsing errors. The investigation is carried out on Arabic text, using specific taggers and parsers, but the lessons that can be learned are applicable to other languages and other tools of the same kind. © 2012 Polish Info Processing Socit.

Bibliographical metadata

Original languageEnglish
Title of host publication2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012|Fed. Conf. Comput. Sci. Inf. Syst., FedCSIS
PublisherPolish Information Processing Society
Pages19-26
Number of pages7
ISBN (Print)9781467307086
Publication statusPublished - 2012
Event2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012 - Wroclaw
Event duration: 1 Jul 2012 → …
http://fedcsis.org/proceedings/fedcsis2012/#H4AAIA

Conference

Conference2012 Federated Conference on Computer Science and Information Systems, FedCSIS 2012
CityWroclaw
Period1/07/12 → …
Internet address