An affix stripping morphological analyzer for Turkish

Gülşen Eryiǧit*, Eşref Adali

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Citations (Scopus)

Abstract

This paper presents the design and the implementation of a morphological analyzer for Turkish. A new methodology is proposed for doing the analysis of Turkish words with an affix stripping approach and without using any lexicon. The rule-based and agglutinative structure of the language allows Turkish to be modeled with finite state machines (FSMs). In contrast to the previous works, in this study, FSMs are formed by using the morphotactic rules in reverse order. This paper describes the steps of this new methodology including the classification of the suffixes, the generation of the FSMs for each suffix class and their unification into a main machine to cooperate in the analysis.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
EditorsM.H. Hamza
Pages299-304
Number of pages6
Publication statusPublished - 2004
EventProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics - Innsbruck, Austria
Duration: 16 Feb 200418 Feb 2004

Publication series

NameProceedings of the IASTED International Conference. Applied Informatics

Conference

ConferenceProceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics
Country/TerritoryAustria
CityInnsbruck
Period16/02/0418/02/04

Keywords

  • Affix Stripping
  • Morphology
  • Natural Language Processing
  • Turkish

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