Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew

Reut Tsarfaty, Khalil Sima'An

Research output: Contribution to conferencePaperpeer-review

Abstract

We show that naïve modeling of morphosyntactic agreement in a Constituency-Based (CB) statistical parsing model is worse than none, whereas a linguistically adequate way of modeling inflectional morphology in CB parsing leads to improved performance. In particular, we show that an extension of the Relational-Realizational (RR) model that incorporates agreement features is superior to CB models that treat morphosyntax as state-splits (SP), and that the RR model benefits more from inflectional features. We focus on parsing Hebrew and report the best result to date, F184.13 for parsing off of gold-tagged text, 5% error reduction from previous results.

Original languageEnglish
Pages40-48
Number of pages9
StatePublished - 2010
Externally publishedYes
Event1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010 - Los Angeles, United States
Duration: 5 Jun 2010 → …

Conference

Conference1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010
Country/TerritoryUnited States
CityLos Angeles
Period5/06/10 → …

Bibliographical note

Funding Information:
The work of the first author has been funded by NWO, grant 017.001.271. We wish to thank Joakim Nivre and three anonymous reviewers for helpful comments on earlier drafts.

Publisher Copyright:
© 2010 Association for Computational Linguistics

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