Paper: Unsupervised Induction Of Modern Standard Arabic Verb Classes Using Syntactic Frames And LSA

ACL ID P06-2102
Title Unsupervised Induction Of Modern Standard Arabic Verb Classes Using Syntactic Frames And LSA
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

We exploit the resources in the Arabic Treebank (ATB) and Arabic Gigaword (AG) to determine the best features for the novel task of automatically creating lexi- calsemanticverbclassesforModernStan- dard Arabic (MSA). The verbs are clas- sified into groups that share semantic el- ements of meaning as they exhibit simi- lar syntactic behavior. The results of the clustering experiments are compared with a gold standard set of classes, which is approximated by using the noisy English translations provided in the ATB to cre- ate Levin-like classes for MSA. The qual- ity of the clusters is found to be sensitive to the inclusion of syntactic frames, LSA vectors, morphological pattern, and sub- ject animacy.