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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
U. Paris-Sorbonne/INRIA.
Weizman Institute.
Indiana U..
U. Paris-Diderot/INRIA.
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2013 (English)In: Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, Association for Computational Linguistics, 2013, 146-182 p.Conference paper, Published paper (Other academic)
Abstract [en]

This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the evaluation metrics for parsing MRLs given different representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2013. 146-182 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-114374ISBN: 978-1-937284-97-8 (print)OAI: oai:DiVA.org:liu-114374DiVA: diva2:789585
Conference
Fourth Workshop on Statistical Parsing of Morphologically Rich Languages
Available from: 2015-02-19 Created: 2015-02-19 Last updated: 2015-02-26Bibliographically approved

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Kuhlmann, Marco

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf