Morphological analysis is a crucial stage in a variety of natural
language processing applications. When languages with complex
morphology are concerned, even shallow applications such as search
engines, information retrieval or question answering, let alone
heavier applications such as machine translation, require
morphological analysis and disambiguation as a first step. The lack of
a morphological disambiguation module for languages such as Hebrew or
Arabic handicaps the performance of many other applications. The goal
of this project is to develop a morphological disambiguation module
which could be used to rank the analyses produced by a
state-of-the-art morphological analyzer.
Resources
None.
Publications
Gennadi Lembersky, Danny Shacham and Shuly Wintner.
Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination.
Natural Language Engineering 20(1):69-97, January 2014.
PDF (Copyright Cambridge University Press, official version here).
Danny Shacham and Shuly Wintner.
Morphological Disambiguation of Hebrew: A Case Study in
Classifier Combination.
In Proceedings of the 2007 Joint Conference on Empirical
Methods in Natural Language Processing and Computational
Natural Language Learning (EMNLP-CoNLL), pages
439-447, Prague, June 2007.
PDF.
Danny Shacham.
Morphological Disambiguation of Hebrew.
University of Haifa MSc. Thesis, 2007.
PDF