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Proceedings Article
2000
Persian NLP
Unification-Based Persian Morphology
Karine Megerdoomian
Proceedings of the International Conference on
Computational Linguistics and Intelligent Text Processing (CICLing 2000)
Formalizes Persian inflectional morphology in a unification-based analyzer for Persian-English machine translation. Declarative rules and typed feature structures represent word categories, inflectional features, and morphotactic constraints in a form usable by a syntactic parser.
Technical Report
2000
Persian NLP
Persian computational morphology: A unification-based approach
Karine Megerdoomian
Memoranda in Computer and Cognitive Science (MCCS-00-320). Computing Research Laboratory, New Mexico State University. Las Cruces, New Mexico.
Describes Persian inflectional morphology and its implementation in a unification-based analyzer for the Shiraz machine translation system. Covers morphotactic constraints, verbal conjugation, and the representation of morphological information through typed feature structures.
Proceedings Article
2000
Armenian linguistics
Against Optional wh-Movement
Karine Megerdoomian and Shadi Ganjavi
Fresno, California
Challenges an analysis of Persian and Eastern Armenian as languages with optional wh-movement. Argues that apparent wh-movement is scrambling, while question interpretation relies on an in-situ operator-variable relationship.