Morphological analysis and generation of Arabic Nouns: A morphemic functional approach

Mohamed Altantawy, Nizar Habash, Owen Rambow, Ibrahim Saleh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

MAGEAD is a morphological analyzer and generator for Modern Standard Arabic (MSA) and its dialects. We introduced MAGEAD in previous work with an implementation of MSA and Levantine Arabic verbs. In this paper, we port that system to MSA nominals (nouns and adjectives), which are far more complex to model than verbs. Our system is a functional morphological analyzer and generator, i.e., it analyzes to and generates from a representation consisting of a lexeme and linguistic feature-value pairs, where the features are syntactically (and perhaps semantically) meaningful, rather than just morphologically. A detailed evaluation of the current implementation comparing it to a commonly used morphological analyzer shows that it has good morphological coverage with precision and recall scores in the 90s. An error analysis reveals that the majority of recall and precision errors are problems in the gold standard or a result of the discrepancy between different models of form-based/functional morphology.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010
EditorsDaniel Tapias, Irene Russo, Olivier Hamon, Stelios Piperidis, Nicoletta Calzolari, Khalid Choukri, Joseph Mariani, Helene Mazo, Bente Maegaard, Jan Odijk, Mike Rosner
PublisherEuropean Language Resources Association (ELRA)
Pages851-858
Number of pages8
ISBN (Electronic)2951740867, 9782951740860
StatePublished - 2010
Event7th International Conference on Language Resources and Evaluation, LREC 2010 - Valletta, Malta
Duration: May 17 2010May 23 2010

Publication series

NameProceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010

Other

Other7th International Conference on Language Resources and Evaluation, LREC 2010
CountryMalta
CityValletta
Period5/17/105/23/10

ASJC Scopus subject areas

  • Education
  • Library and Information Sciences
  • Linguistics and Language
  • Language and Linguistics

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