Combining black-box taggers and parsers for modern standard Arabic

Maytham Alabbas, Allan Ramsay

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.
    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
    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

    Keywords

    • part of speech tagging
    • parsing
    • combining systems

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