Paper: Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures

ACL ID E09-1036
Title Semitic Morphological Analysis and Generation Using Finite State Transducers with Feature Structures
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

This paper presents an application of finite state transducers weighted with feature structure descriptions, following Amtrup (2003), to the morphology of the Semitic language Tigrinya. It is shown that feature-structure weights provide an effi- cient way of handling the templatic mor- phology that characterizes Semitic verb stems as well as the long-distance de- pendencies characterizing the complex Tigrinya verb morphotactics. A relatively complete computational implementation of Tigrinya verb morphology is described.