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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."

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Academic Paper

Title: Morphological disambiguation of Hebrew: a case study in classifier combination
Author: Gennadi Lembersky
Institution: University of Haifa
Author: Danny Shacham
Institution: University of Haifa
Author: Shuly Wintner
Institution: University of Haifa
Linguistic Field: Computational Linguistics; Morphology; Text/Corpus Linguistics
Subject Language: Hebrew
Abstract: 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.


This article appears IN Natural Language Engineering Vol. 20, Issue 1.

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