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MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects

What it is about

MAGEAD is a finite-state morphological analyzer and generator for MSA and for Levantine verbs. A lexeme is a root, a meaning index and a morphological behaviour class; patterns and vocalisms are interdigitated with the root on a multitape machine (Kiraz's approach, with an added tier for orthography), and affixes are attached afterwards. The MSA version uses a hierarchy of 66 behaviour classes (25 of them abstract), 69 phonological and 53 orthographic rules. Moving to Levantine took a native-speaking linguist about six hours: one rule changed, one added, two new morphemes. Without a lexicon, the analyzer on MSA verbs of the Penn Treebank reaches type recall of 98.5% with all roots allowed, and restricting roots to a list derived from the Buckwalter lexicon raises type precision from 44.8% to 63.5% while recall falls to 96.1%. Most of the 2,536 false-positive types turn out to be gaps in the gold standard (75%, mostly passive forms that differ only in unwritten vowels). On Levantine verbs, context token recall rises from 60.4% with the MSA rules to 94.2% with the Levantine rules.

Ideas

For Mova

I1 goes into tools/hbo (unpointed mode, root restriction). I2 is a rule for tools/macula (macula compare). I3 is a plan for the verb chapter The verb, with the weak-root rules in The weak verbs.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.3115/1220175.1220261

@inproceedings{habash2006magead,
  title = {{MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects}},
  author = {Habash, Nizar and Rambow, Owen},
  booktitle = {Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics},
  year = {2006},
  doi = {10.3115/1220175.1220261},
  url = {https://doi.org/10.3115/1220175.1220261}
}

References

21 references, 3 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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  2. K. Beesley, T. Buckwalter, and S. Newton. 1989. Two-level finite-state analysis of Arabic morphology. In Proceedings of the Seminar on Bilingual Computing in Arabic and English, page n.p. find
  3. K. Beesley. 1998. Arabic morphology using only finite-state operations. In M. Rosner, editor, Proceedings of the Workshop on Computational Approaches to Semitic Languages, pages 50–7, Montereal. find our card
  4. S. Bird and T. Ellison. 1994. One-level phonology. Computational Linguistics, 20(1):55–90. find
  5. Tim Buckwalter. 2004. Buckwalter Arabic morphological analyzer version 2.0. find
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  7. Word, Nizar Habash, Owen Rambow, and Geroge Kiraz. 2005. Morphological analysis and generation for arabic dialects. In Proceedings of the ACL Workshop on Computational Approaches to Semitic Languages, Ann Arbor, MI. find our card
  8. Nizar Habash, Owen Rabmow, and Richard Sproat. 2006. The representation of linguistic knowledge in a pan-Arabic morphological analyzer. Paper under preparation, Columbia University and UIUC. find
  9. Nizar Habash. 2004. Large scale lexeme based arabic morphological generation. In Proceedings of Traitement Automatique du Langage Naturel (TALN-04). Fez, Morocco. find
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  17. Mohamed Maamouri, Ann Bies, Tim Buckwalter, Mona Diab, Nizar Habash, Owen Rambow, and Dalila Tabessi. 2006. Developing and using a pilot dialectal arabic treebank. In Proceedings of LREC, Genoa, Italy. find
  18. John McCarthy. 1981. A prosodic theory of nonconcatenative morphology. Linguistic Inquiry, 12(3):373–418. find
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