A default inheritance hierarchy for computing Hebrew verb morphology

Raphael Finkel, Gregory Stump

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We apply default inheritance hierarchies to generating the morphology of Hebrew verbs. This approach represents inflectional exponents as markings associated with the application of rules by which complex word forms are deduced from simpler roots or stems. The high degree of similarity among verbs of different conjugation classes allows us to formulate general rules; these general rules are, however, sometimes overridden by conjugation-specific rules. Similarly, a verb's form within a particular conjugation is determined both by default rules and by overriding rules specific to lexical stem peculiarities. Our result is a concise set of rules defining the morphology of Hebrew verbs in all conjugations. We express these rules in KATR, both a formalism for default inheritance hierarchies and associated software for generating the forms specified by those rules. As we describe the rules, we point out general strategies for expressing morphology in KATR. We conclude by discussing KATR's advantages over ordinary DATR for the representation of morphological systems and our plans for KATR's successor, LATR.

Original languageEnglish
Pages (from-to)117-136
Number of pages20
JournalLiterary and Linguistics Computing
Volume22
Issue number2
DOIs
StatePublished - Jun 2007

Bibliographical note

Funding Information:
This work was partially supported by the National Science Foundation under Grant 0097278 and by the University of Kentucky Center for Computational Science. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.

Funding

This work was partially supported by the National Science Foundation under Grant 0097278 and by the University of Kentucky Center for Computational Science. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.

FundersFunder number
National Science Foundation (NSF)0097278
University of Kentucky Information Technology Department and Center for Computational Sciences

    ASJC Scopus subject areas

    • Information Systems
    • Language and Linguistics
    • Linguistics and Language

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