Volume 9, Issue 2 (3-2013)                   JSDP 2013, 9(2): 3-12 | Back to browse issues page

XML Persian Abstract Print

Unsupervised Persian Verb Valency Induction
Behrouz Minaei-Bidgoli , Heshaam Faili , Maryam Aminian
Abstract:   (13902 Views)
Valency is the key concept in dependency grammar. Among all word categories, verbs are the most important categories with a key role in syntax and semantics. Verb is the central role in a sentence and acts as the main semantic component in the dependency grammar. In this paper, after studying several methods for unsupervised discovery of Persian verb valency, the ambiguities are studied. Among all methods, EM gained the best results i.e. two time more F-score that binomial hypothesis testing
Keywords: Dependency grammar, verb valency, Persian language, unsupervised induction, EM algorithm
Full-Text [PDF 2065 kb]   (2324 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2013/06/6 | Accepted: 2013/08/25 | Published: 2013/08/25 | ePublished: 2013/08/25
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.