Paper: Joint Morphological and Syntactic Disambiguation

ACL ID D07-1022
Title Joint Morphological and Syntactic Disambiguation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007

In morphologically rich languages, should morphological and syntactic disambiguation be treated sequentially or as a sin- gle problem? We describe several efficient, probabilistically- interpretable ways to apply joint inference to morphological and syntactic disambiguation using lattice parsing. Joint infer- ence is shown to compare favorably to pipeline parsing methods across a variety of component models. State-of-the-art perfor- mance on Hebrew Treebank parsing is demonstrated using the new method. The benefits of joint inference are modest with the current component models, but appear to increase as com- ponents themselves improve.