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Morphological Analysis and Generation of Arabic Nouns: A Morphemic Functional Approach

What it is about

MAGEAD is a morphological analyser and generator for Arabic built as finite-state transducers. It maps a lexeme and feature-value pairs to a surface form and back. This paper ports it from verbs to Modern Standard Arabic nominals, which are harder because of broken plurals and irregular feminines. A lexeme is a root, a morphological behaviour class (MBC) and a meaning index. The MBC hierarchy has 962 classes for 32,110 nouns, with inheritance, so a mapping shared by all words, such as the conjunction clitic, is stated once. Morphology is spread over five tiers (pattern and affixes, root, vocalism, phonology, orthography), and morphophonemic and orthographic rules are kept apart. On 4,188 word tokens of the Penn Arabic Treebank Part 3, the system gives no analysis for 243 tokens, and precision and recall are in the 90s for most feature sets. When gender, number, case and state are compared too, scores fall to about 47–54%; the authors trace most of the remaining errors to the gold standard and to the gap between form-based and functional gender and number.

Ideas

For Mova

I1 goes into Pronouns, particles and prepositions and The Noun, the Adjective and the Numeral. I2 is a lemma rule for macula dict. I3 is a reporting rule for macula compare. I4 is a metric view for tools/hbo.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.63317/3vrjobab8jnv

@inproceedings{altantawy2010morphological,
  title = {{Morphological Analysis and Generation of Arabic Nouns: A Morphemic Functional Approach}},
  author = {Altantawy, Mohamed and Habash, Nizar and Rambow, Owen and Saleh, Ibrahim},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  doi = {10.63317/3vrjobab8jnv},
  url = {https://doi.org/10.63317/3vrjobab8jnv}
}

References

21 references, 4 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. Kenneth Beesley. 1996. Arabic Finite-State Morphological Analysis and Generation. In Proceedings of the 16th International Conference on Computational Linguistics (COLING-96), pages 89–94, Copenhagen, Denmark. find
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  4. T. Buckwalter. 2004. Buckwalter Arabic Morphological Analyzer Version 2.0. Linguistic Data Consortium, University of Pennsylvania, 2002. LDC Cat alog No.: LDC2004L02, ISBN 1-58563-324-0. find
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  8. Nizar Habash and Owen Rambow. 2005. Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05), pages 573–580, Ann Arbor, Michigan, June. Association for Computational Linguistics. find our card
  9. Nizar Habash and Owen Rambow. 2006. MAGEAD: A Morphological Analyzer and Generator for the Arabic Dialects. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 681–688, Sydney, Australia, July. Association for Computational Linguistics. find our card
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  12. Nizar Habash, Abdelhadi Soudi, and Tim Buckwalter. 2007. On Arabic Transliteration. In A. van den Bosch and A. Soudi, editors, Arabic Computational Morphology: Knowledge-based and Empirical Methods. Springer. find
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  14. George Kiraz. 1994. Multi-tape Two-level Morphology: A Case study in Semitic Non-Linear Morphology. In Proceedings of Fifteenth International Conference on Computational Linguistics (COLING-94), pages 180–186, Kyoto, Japan. find our card
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