Combining strategies for tagging and parsing Arabic

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

  • Authors:
  • M Alabbas
  • A M Ramsay


We describe a simple method for combiningtaggers which produces substantiallybetter performance than any of thecontributing tools. The method is verysimple, but it leads to considerable improvementsin performance: given threetaggers for Arabic whose individual accuraciesrange from 0.956 to 0.967, thecombined tagger scores 0.995–a sevenfoldreduction in the error rate whencompared to the best of the contributingtools.Given the effectiveness of this approachto combining taggers, we have investigatedits applicability to parsing. Forparsing, it seems better to take pairs ofsimilar parsers and back off to a third ifthey disagree.

Bibliographical metadata

Original languageEnglish
Title of host publicationhost publication
PublisherAssociation for Computational Linguistics
Number of pages5
Publication statusPublished - 2014
EventProceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing - Doha
Event duration: 1 Jan 1824 → …


ConferenceProceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing
Period1/01/24 → …
Internet address