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

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 efficient way of handling the templatic morphology that characterizes Semitic verb stems as well as the long-distance dependencies characterizing the complex Tigrinya verb morphotactics. A relatively complete computational implementation of Tigrinya verb morphology is described.

• Type: Conference
• Year: 2009
• Where: EACL
• Authors: Michael Gasser
• Keywords: Complex Tigrinya Verb, EACL 2009, Natural Language Processing, Semitic Language Tigrinya, Tigrinya Verb Morphology