We explore the contribution of lexical and inflectional morphology features to dependency parsing of Arabic, a morphologically rich language with complex agreement patterns. Using controlled experiments, we contrast the contribution of different part-of-speech (POS) tag sets and morphological features in two input conditions: machine-predicted condition (in which POS tags and morphological feature values are automatically assigned), and gold condition (in which their true values are known). We find that more informative (fine-grained) tag sets are useful in the
REF explored the contribution of different POS tag sets and several lexical and inflectional morphology features to dependency parsing of Arabic.
Dependency Parsing of Modern Standard Arabic with Lexical and Inflectional Features
CL
Computer Science