Combining strategies for tagging and parsing ArabicCitation formats

  • Authors:
  • M Alabbas
  • A M Ramsay

Standard

Combining strategies for tagging and parsing Arabic. / Alabbas, M; Ramsay, A M.

host publication. Association for Computational Linguistics, 2014. p. 73-77.

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

Harvard

Alabbas, M & Ramsay, AM 2014, Combining strategies for tagging and parsing Arabic. in host publication. Association for Computational Linguistics, pp. 73-77, Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing, Doha, 1/01/24.

APA

Alabbas, M., & Ramsay, A. M. (2014). Combining strategies for tagging and parsing Arabic. In host publication (pp. 73-77). Association for Computational Linguistics.

Vancouver

Alabbas M, Ramsay AM. Combining strategies for tagging and parsing Arabic. In host publication. Association for Computational Linguistics. 2014. p. 73-77

Author

Alabbas, M ; Ramsay, A M. / Combining strategies for tagging and parsing Arabic. host publication. Association for Computational Linguistics, 2014. pp. 73-77

Bibtex

@inproceedings{ad35754c703845cf889d6e06b322be99,
title = "Combining strategies for tagging and parsing Arabic",
abstract = "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.",
keywords = "Natural language processing, dependency parsing, part of speech tagging",
author = "M Alabbas and Ramsay, {A M}",
year = "2014",
language = "English",
pages = "73--77",
booktitle = "host publication",
publisher = "Association for Computational Linguistics",

}

RIS

TY - GEN

T1 - Combining strategies for tagging and parsing Arabic

AU - Alabbas, M

AU - Ramsay, A M

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Natural language processing

KW - dependency parsing

KW - part of speech tagging

M3 - Conference contribution

SP - 73

EP - 77

BT - host publication

PB - Association for Computational Linguistics

ER -