Building a Community-Grounded Spell Checker for the Kabyle Language Using NLP Powered by AI

Status: Conference contribution listed in HAL; proceedings publication details are not yet verified.

Conference period: 2026-11. The page date records this listing; it is not a proceedings publication date.

Research summary

This early extended abstract presents a Kabyle spell checker combining edit distance, phonetic matching, n-gram context models and linguistic rules for the state of annexation. It describes community participation and an evaluation using synthetic spelling noise. Evaluation on real errors from OCR and automatic speech recognition is identified as ongoing work; LLM integration is future work in this version.

Available version

Early author extended abstract, 3 pages, archived on 18 August 2026. This is the available initial version, not a verified final conference manuscript. The title is retained exactly as in the manuscript and HAL record. The PDF is shared unchanged, including its limitations and AI-use statement. A subsequent conference revision has not been verified.