Morphological disambiguation of Hebrew: A case study in classifier combination

Gennadi Lembersky, Danny Shacham, Shuly Wintner

Research output: Contribution to journalArticlepeer-review


Morphological analysis and disambiguation are crucial stages in a variety of natural language processing applications, especially when languages with complex morphology are concerned. We present a system which disambiguates the output of a morphological analyzer for Hebrew. It consists of several simple classifiers and a module that combines them under the constraints imposed by the analyzer. We explore several approaches to classifier combination, as well as a back-off mechanism that relies on a large unannotated corpus. Our best result, around 83 percent accuracy, compares favorably with the state of the art on this task.

Original languageEnglish
Pages (from-to)69-97
Number of pages29
JournalNatural Language Engineering
Issue number1
StatePublished - Jan 2014

ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence


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