Research & Academic Work

Publications

Research contributions in Kurdish language technology and software engineering. Presented at international scientific competitions and peer-reviewed IEEE conferences.

ORCID

0009-0004-3568-1376

Focus

Kurdish NLP

Published

IEEE · SEDAF

Ahmad Abdullah Qadir

Ahmad Abdullah Qadir

Researcher & Engineer

Kurdish NLP IEEE .NET

Researcher Profile

All publications are indexed on ORCID under the verified profile below.

orcid.org/0009-0004-3568-1376
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Journal & Conference Papers

Peer-reviewed and conference publications.

2019 · IEEE Conference
Kurd Spell: A Kurdish Language Spell-Checking Library
IEEE International Conference Proceedings, 2019
Ahmad Abdullah Qadir

Kurd Spell is a .NET library providing Kurdish-language spell-checking using language-specific NLP rules and phonological analysis. The library produces high-accuracy spelling suggestions and is designed for standard integration into editing software and developer APIs. The research was presented at IEEE conference 2019 and evaluated against multiple Kurdish text corpora.

Kurdish NLP Spell Checking .NET Computational Linguistics

Awards & Presentations

Scientific competitions and academic recognition.

SEDAF 2019 — 2nd Place

Award

Presented Kurd Spell at the Sulaimani International Science, Engineering & Technology Fair (SEDAF) and was awarded 2nd place among all competing research projects.

  • International scientific competition — Sulaymaniyah, Kurdistan
  • Evaluated by international scientific committee
  • 2nd place among all presented research
Kurdish NLP 2nd Place International

IEEE Conference 2019

Published

Academic paper on Kurdish spell-checking technology accepted and presented at IEEE Conference 2019. Research covered NLP rules, algorithm design, and accuracy benchmarking.

  • Peer-reviewed IEEE publication
  • Language processing for under-resourced languages
  • Benchmarked against Kurdish text datasets
IEEE Peer-Reviewed 2019

About Kurd Spell

The research project behind the publications.

Research Background

Kurdish is an under-resourced language with limited software tooling. Kurd Spell addresses this gap by providing a standardized spell-checking engine with Kurdish-specific phonological and morphological rules.

The library is written in .NET and exposes a clean API for integration into text editors, web apps, and developer pipelines.

Technical Details

  • Language: .NET (C#)
  • Approach: Rule-based NLP + dictionary lookup
  • Supports: Sorani Kurdish script
  • Output: Ranked spelling suggestions
  • Integration: Standard library API
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Experience

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Projects

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