Morphological representation in PC-based text processing systems.

This paper summarizes our experience in optimizing representational models of inflexional (accidence) morphological analysis for different languages. Some of the linguistic engineering questions addressed in the paper include the following: How far can linguistic adequacy be maintained in morphologi...

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Published in:Literary & Linguistic Computing Vol. 15; no. 2; pp. 131 - 157
Main Authors: Koval, S, Beliaeva, L, Kogan, L, Mikhailov, A, Nilolaev, V, Piotrowski, R, Tovmach, Y
Format: Article
Published: Oxford University Press / USA 2000
Subjects:
Online Access:View this record in EBSCOhost
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          Koval, S
          Beliaeva, L
          Kogan, L
          Mikhailov, A
          Nilolaev, V
          Piotrowski, R
          Tovmach, Y
        affil: St Petersburg State University, Herzen State Pedagogical University of Russia, Komteks, Ltd, State Institute of Hydrology, St Petersburg, Russia Russian State University for the Humanities, Moscow, Russia Software Unlimited, Inc., Santa Clara, CA, USA Corresponding author address: 63 Oktyabrskaya Street, Flat 113, Kolpino, St Petersburg 189630, Russia E-mail: skoval@online.ru
      su:
        Data entry
        Morphology (Grammar)
        Linguistics
        Text processing (Computer science)
        Natural language processing
      sug:
        subj:
          Data entry
          Morphology (Grammar)
          Linguistics
          Text processing (Computer science)
          Natural language processing
      ab: This paper summarizes our experience in optimizing representational models of inflexional (accidence) morphological analysis for different languages. Some of the linguistic engineering questions addressed in the paper include the following: How far can linguistic adequacy be maintained in morphological components of marketable machine translation software on the IBM PC platform? What generalizations can be made contributing to the more uniform approach to morphology for languages of various structures? What are the parameters that can be adjusted quantitatively to allow for general model application to different languages? A generalized approach of treating postfixal languages is proposed, which is supplemented by suggestions on its modification for languages that are clearly not postfixal (e.g. Arabic).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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