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Computational Benchmarks for Egyptian Arabic Child Directed Speech

  • Salam Khalifa
  • , Abdelrahim Qaddoumi
  • , Nizar Habash
  • , Owen Rambow
  • Stony Brook University
  • New York University Abu Dhabi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present ARABABYTALK-EGY, an enriched release of the Egyptian Arabic CHILDES corpus, that opens the child-adult interactions genre to modern Arabic NLP research. Starting from the original CHILDES recordings and IPA transcriptions of caregiver-child sessions, we (i) map each IPA token to fully diacritized Arabic script, and (ii) add core part-of-speech tags and lemmas aligned with existing dialectal Arabic morphological resources. These layers yield ∼26K annotated tokens suitable for both text- and speech-based NLP tasks. We provide a benchmark on morphological disambiguation and Arabic ASR. We outline lexical and morphosyntactic differences between ARABABYTALK-EGY and general Egyptian Arabic resources, highlighting the value of genre-specific training data for language acquisition studies and Arabic speech technology.

Original languageEnglish
Title of host publicationLong Papers
EditorsVera Demberg, Kentaro Inui, Lluis Marquez Villodre
PublisherAssociation for Computational Linguistics (ACL)
Pages2296-2307
Number of pages12
ISBN (Electronic)9798891763807
DOIs
StatePublished - 2026
Event19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026 - Rabat, Morocco
Duration: Mar 24 2026Mar 29 2026

Publication series

NameEACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1 - (Long Papers)
Volume1

Conference

Conference19th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2026
Country/TerritoryMorocco
CityRabat
Period03/24/2603/29/26

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