A Complete FS Model for Amharic Morphographemics

  • Saba Amsalu
  • Dafydd Gibbon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4002)


Our aim was to develop a complete morphographemic model for Amharic, the official language of Ethiopia, which urgently needs computational linguistic tools for information retrieval and natural language processing. Amharic is a Semitic language, with SOV word order and a complex morphology with consonantal roots and vowel intercalation, extensive agglutination, and both consonantal and vocalic stem modification. Previous computational models of Amharic lexemes are fragmentary, being restricted to affix stripping and radical extraction [2], [4], [3], [1]. The verb analysis by Fissaha and Haller [8] is the only previous FS based approach. FS and related approaches to other Semitic languages have also tended to concentrate on selected features of theoretical interest, such as the well–known analyses of Arabic intercalation [9], [5], [10].


Natural Language Processing Machine Transla Semitic Language Amharic Verb Consonantal Root 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Saba Amsalu
    • 1
  • Dafydd Gibbon
    • 1
  1. 1.Universität BielefeldGermany

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