Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew

Reut Tsarfaty, Khalil Sima'An

نتاج البحث: نتاج بحثي من مؤتمرمحاضرةمراجعة النظراء

ملخص

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.

اللغة الأصليةالإنجليزيّة
الصفحات40-48
عدد الصفحات9
حالة النشرنُشِر - 2010
منشور خارجيًانعم
الحدث1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010 - Los Angeles, الولايات المتّحدة
المدة: ٥ يونيو ٢٠١٠ → …

!!Conference

!!Conference1st Workshop on Statistical Parsing of Morphologically-Rich Languages, SPMRL 2010
الدولة/الإقليمالولايات المتّحدة
المدينةLos Angeles
المدة٥/٠٦/١٠ → …

ملاحظة ببليوغرافية

Publisher Copyright:
© 2010 Association for Computational Linguistics

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