Qaamuuska-NLP

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Ogaal Labs is pleased to introduce the research preview of Qaamuuska-NLP, a structured lexical resource developed from Qaamuuska Af-Soomaaliga, the 2012 monolingual Somali dictionary edited by Annarita Puglielli and Cabdalla Cumar Mansuur.

Qaamuuska-NLP converts the dictionary into 46,314 machine-readable records designed to support Somali natural language processing, computational lexicography and language-technology research.

Unlike OCR-based digitisation projects, Qaamuuska-NLP was extracted directly from the PDF’s native text layer. The project uses a transparent, deterministic and rule-based pipeline without machine-learning or generative-AI extraction.

What the resource contains

The structured resource preserves information explicitly recorded in the source dictionary, including:

  • Headwords and homonym indices

  • Parts of speech

  • Noun gender and plural information

  • Verb conjugation classes and transitivity

  • Numbered definitions

  • Synonym references

  • Dictionary cross-references

  • Subject-domain labels

  • Original extracted entry text

Resource highlights

  • 46,314 dictionary records

  • 34,726 nouns

  • 11,445 verbs

  • 32,801 extracted definitions

  • 21,032 redirect records

  • 20,075 successfully resolved redirects

  • 11,854 synonym links

  • 9,212 homonym-marked records

  • 16 specialised subject domains

The project retains the dictionary’s internal structure instead of reducing it to a simple word list. This makes the resource useful for lexical lookup, morphological research and future Somali language technologies.

Research findings

The accompanying study also examines whether grammatical labels can be predicted from Somali word forms.

Using only character suffixes, a simple classifier achieved:

  • 93.5% accuracy for verb conjugation class

  • 86.4% accuracy for noun gender

  • 86.9% accuracy for coarse part of speech

These results show that Somali word-final patterns contain strong signals for several grammatical categories represented in the dictionary.

Potential applications

Qaamuuska-NLP may support future work in:

  • Somali morphological analysis

  • Lemmatization and part-of-speech processing

  • Search and information retrieval

  • Spell-checking and writing assistance

  • Digital dictionary applications

  • Educational language tools

  • Lexical-semantic research

  • Training and evaluation of Somali NLP systems

  • Lexical-standard exports such as TEI Lex-0 and OntoLex-Lemon

Responsible release

Qaamuuska-NLP is currently being released as a research preview.

The original extraction code, schema, aggregate statistics and validation methodology are being prepared for public release under appropriate software terms. Public redistribution of the complete structured lexical dataset remains subject to written rightsholder permission.

The software license does not apply to dictionary definitions or other content derived from the original publication.

Research team

Abdullahi Mohamud Ahmed¹, Abdulkadir Ugas¹˒², Abdirashid Omar¹ and Abdulhakim Ismail¹

¹ Ogaal Labs
² Department of Bigdata, Chungbuk National University

Acknowledgement:

Qaamuuska-NLP is derived from:

Annarita Puglielli and Cabdalla Cumar Mansuur, editors. Qaamuuska Af-Soomaaliga. Roma Tre Press, 2012. ISBN 978-88-97524-02-1. DOI: 10.13134/978-88-97524-02-1.

Interactive research dashboard: qaamuuska-nlp.ogaaldata.com

Common questions

Find your answers here

Find answers to common questions about our mission, our research, and how you can join the Somali AI movement.

Still have questions?

What is Ogaal Labs?

Ogaal Labs is a Somali AI research and innovation lab dedicated to building local datasets and practical AI tools for African communities.

Who does Ogaal Labs serve?

We serve students, researchers, startups, and public institutions interested in localizing AI technology.

How can I join your programs?

We offer research programs, fellowships, and bootcamps for young graduates and developers focusing on AI engineering, Natural Language Processing (NLP), and advanced data science.

Why focus on local Somali datasets?

Global models often overlook local languages. We believe Somali people should build and own systems that reflect their own culture and needs.

Is Ogaal Labs an open-source project?

Ogaal Labs operates as both an AI startup and a research center. While we build proprietary solutions for specific sectors, a core part of our mission is to accelerate AI development by releasing open-source Somali datasets, NLP models, and research tools for the global developer community to use and build upon.

How can organizations partner with you?

We actively collaborate with universities, NGOs, tech companies, and private enterprises. Organizations can partner with us in three main ways: Research Partnerships: Co-developing open-source Somali datasets, collaborating on advanced NLP models, or co-authoring academic research. Funding & Sponsorships: Providing grants or funding to support our AI bootcamps, research fellowships, and essential computing infrastructure. Applied AI Solutions: Working with us to build custom machine learning tools tailored to solve specific challenges in your sector (such as Health, Education, or Agriculture).

Common questions

Find your answers here

Find answers to common questions about our mission, our research, and how you can join the Somali AI movement.

Still have questions?

What is Ogaal Labs?

Ogaal Labs is a Somali AI research and innovation lab dedicated to building local datasets and practical AI tools for African communities.

Who does Ogaal Labs serve?

We serve public institutions interested in localizing AI technology, researchers, startups and students

How can I join your programs?

We offer research programs, fellowships, and bootcamps for young graduates and developers in Python and Machine Learning.

Is Ogaal Labs an open-source project?

Yes, where possible, we support open learning and open access to knowledge to help the wider community grow.

How can organizations partner with you?

We collaborate with universities, NGOs, and private businesses to solve real-world problems through applied machine learning.

Common questions

Find your answers here

Find answers to common questions about our mission, our research, and how you can join the Somali AI movement.

Still have questions?

What is Ogaal Labs?

Ogaal Labs is a Somali AI research and innovation lab dedicated to building local datasets and practical AI tools for African communities.

Who does Ogaal Labs serve?

We serve students, researchers, startups, and public institutions interested in localizing AI technology.

How can I join your programs?

We offer research programs, fellowships, and bootcamps for young graduates and developers focusing on AI engineering, Natural Language Processing (NLP), and advanced data science.

Why focus on local Somali datasets?

Global models often overlook local languages. We believe Somali people should build and own systems that reflect their own culture and needs.

Is Ogaal Labs an open-source project?

Ogaal Labs operates as both an AI startup and a research center. While we build proprietary solutions for specific sectors, a core part of our mission is to accelerate AI development by releasing open-source Somali datasets, NLP models, and research tools for the global developer community to use and build upon.

How can organizations partner with you?

We actively collaborate with universities, NGOs, tech companies, and private enterprises. Organizations can partner with us in three main ways: Research Partnerships: Co-developing open-source Somali datasets, collaborating on advanced NLP models, or co-authoring academic research. Funding & Sponsorships: Providing grants or funding to support our AI bootcamps, research fellowships, and essential computing infrastructure. Applied AI Solutions: Working with us to build custom machine learning tools tailored to solve specific challenges in your sector (such as Health, Education, or Agriculture).

Join the Movement

Shape the Future of Somali AI

Join our community of researchers, developers, and innovators building local solutions for Africa.

Join the Movement

Shape the Future of Somali AI

Join our community of researchers, developers, and innovators building local solutions for Africa.