Hebrew Morphological Disambiguation

Project description

Objective: To design and implement a morphological disambiguation module for Hebrew.

Researchers: Danny Shacham and Shuly Wintner.

Status: Complete

Funding: Israeli Ministry of Science and Technology, as part of the Knowledge Center for Hebrew Language Telecommunication.

Abstract

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. 📖

• 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. 📖