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Conventional Orthography for Dialectal Arabic

Summary

Dialectal Arabic (DA) is the everyday spoken Arabic of the Arab world, and it is increasingly written online in blogs, forums, SMS and email. It has no agreed spelling standard, so native writers and the builders of DA resources spell words in inconsistent ways, which hurts computational processing. The authors propose CODA, a conventional orthography for dialectal Arabic built mainly to support NLP modeling rather than linguistic transcription. CODA uses Arabic script and stays close to MSA orthographic habits. It abstracts away from sub-dialectal phonological variation and aims to be one shared convention that keeps differences between dialects small. The paper sets out the design principles and then gives detailed guidelines for Egyptian Arabic (EGY). These cover consonant spelling, Hamza, clitics, Ta-Marbuta, nunation and a list of lexical exceptions. A preliminary annotation of more than 110K words showed that a substantial share of raw dialectal text needs normalization. The work matters because a consistent written target makes it feasible to annotate DA data and to build tools that automatically convert text into CODA.

Key points

  • CODA replaces the authors' earlier CCO (COLABA Conventional Orthography). CCO tried to encode dialect-specific phonology and morphology. Annotators found it hard to learn, described it as "foreign", and agreed poorly, especially on short vowels.
  • CODA draws on the LDC transcription guidelines for Levantine and Iraqi Arabic and on CallHome Egyptian. Unlike those, it targets general-purpose writing rather than phonological transcription.
  • EGY consonant rules:
    • A few consonants keep their etymological MSA spelling. For example, the letter q is kept even when it is pronounced as a glottal stop.
    • Most other sound differences are spelled as pronounced.
    • Hamza is omitted in words where EGY does not pronounce it.
    • The common Egyptian habit of writing word-final y as Alif-Maqsura is not allowed.
  • Clitics and spacing:
    • EGY-only clitics are written attached to the word. These include progressive bi+, future Ha+ and negation +š.
    • Indirect-object enclitics and the negation particle mA are written as separate words.
    • A word list handles ad hoc spellings, such as dah 'this' and barDuh 'also'.
  • Preliminary annotation results:
    • Four annotators worked on more than 110K words.
    • 15.1% of words were changed.
    • Among the changes, 12.1% were merges (removing a wrong space) and 13.2% were splits (adding a missing space).

Interesting ideas

  • I1. Design for annotators, not just linguists. The failure of CCO shows that a phonetically faithful scheme can be too hard to learn and annotate consistently. Choosing conventions that writers find familiar is a useful lesson for any project that normalizes non-standard text, such as Surzhyk or dialectal Ukrainian.
  • I2. One convention across many varieties. CODA picks spellings that reduce differences among dialects instead of recording each local pronunciation. This makes resources more reusable across varieties.
  • I3. Etymological spelling only where it helps. Some sounds are spelled after the standard-language cognate, while most differences are written as pronounced. This hybrid balances readability and data sparsity against faithfulness to speech.
  • I4. A separate list for exceptions. Irregular or competing spellings of frequent words go into an explicit word list instead of complicating the general rules. This keeps the rules simple and the treatment of high-frequency items consistent.
  • I5. Measure the edits. Reporting the share of words changed, split by merge and split operations, gives a cheap first estimate of how far raw text is from the normalized standard. It also shows what an automatic normalizer (here, "CODAfication") would need to learn.

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: Linguistics & languages

Cited by

100 papers of our library cite it (of the 140673 whose bibliographies we read); 10 of them have a page here, 90 not yet.

Cite

The paper itself, not this page. BibTeX from the library's record of the work.

@inproceedings{habash2012conventional,
  title = {{Conventional Orthography for Dialectal Arabic}},
  author = {Habash, Nizar and Diab, Mona and Rambow, Owen},
  booktitle = {Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  doi = {10.63317/3vf7xvvb69fg},
  url = {https://doi.org/10.63317/3vf7xvvb69fg}
}

References

10 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Ernest T. Abdel-Massih, Zaki N. Abdel-Malek, and El-Said M. Badawi. 1979. A Reference Grammar of Egyptian Arabic. Georgetown University Press. find
  2. Abbas Al-Tonsi and Laila Al-Sawi. 1990. An Intensive Course in Egyptial Colloquial Arabic. American University in Cairo. find
  3. Plonka Arkadiusz. 2006. Le nationalisme linguistique au liban autour de sa‘id ‘aql et l’idée de langue libanaise dans la revue “lebnaan” en nouvel alphabet. Arabica, 53(4):423–471. find
  4. Khalil ‘Asaakir. 1950. A Method for Writing Modern Arabic Dialects with Arabic Letters. (in Arabic). The Arab Academy Magazine, 8(181–192), January. find
  5. El-Said Badawi and Martin Hinds. 1986. A Dictionary of Egyptian Arabic. Librairie du Liban. find
  6. Yassine Benajiba and Mona Diab. 2010. A web application for dialectal arabic text annotation. In Proceedings of the LREC Workshop for Language Resources (LRs) and Human Language Technologies (HLT) for Semitic Languages: Status, Updates, and Prospects. find
  7. Fadi Biadsy, Nizar Habash, and Julia Hirschberg. 2009. Improving the Arabic Pronunciation Dictionary for Phone and Word Recognition with Linguistically-Based Pronunciation Rules. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 397–405, Boulder, Colorado. find
  8. Tim Buckwalter. 2007. Issues in Arabic Morphological Analysis. In A. van den Bosch and A. Soudi, editors, Arabic Computational Morphology: Knowledge-based and Empirical Methods. Springer. ↗
  9. Mark W. Cowell. 1964. A Reference Grammar of Syrian Arabic. Georgetown University Press. find
  10. Pradeep Dasigi and Mona Diab. 2011. Codact: Towards identifying orthographic variants in dialectal arabic. In Proceedings of the International Joint Conference on Natural Language Processing, Chiang Mai, Thailand. ↗

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