Paper: Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features

ACL ID P11-1159
Title Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011
Authors

We explore the contribution of morphologi- cal features – both lexical and inflectional – to dependency parsing of Arabic, a morpho- logically rich language. Using controlled ex- periments, we find that definiteness, person, number, gender, and the undiacritzed lemma are most helpful for parsing on automatically tagged input. We further contrast the contri- bution of form-based and functional features, and show that functional gender and number (e.g., “broken plurals”) and the related ratio- nality feature improve over form-based fea- tures. It is the first time functional morpho- logical features are used for Arabic NLP.