MAKING USEFUL TOOLS FOR LANGUAGE COMMUNITIES WITHOUT BIG CORPORA: A VERSATILE MORPHOLOGICAL ANALYSER AND SPELLCHECKER FOR SONGHAY BASED ON FREE SOFTWARE

Authors

  • Loïc Boizou Author
  • Mohomodou Houssouba Author

Keywords:

free software - spellchecker - morphological tagging - morphology - Songhay language - under-resourced languages

Abstract

The current excitement over data-driven artificial intelligence makes headlines across the world, including in Africa. Accordingly, AI is supposed to enable an exponential growth in digital resources and level the playing field for less-resourced languages. However, this enthusiasm largely eludes the correlation between AI capacity and the availability of massive and well-curated datasets. In this regard, for the most part, African languages do not fulfill the basic requirements to participate in the new “revolution”. The Songhay language is a case in point, with slow and continuous work done over two decades to develop even a basic tool like a spellchecker.
Still, even limited experience with localization and building corpora helps toward developing more advanced tools and content over time.

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Published

2024-06-24

Issue

Section

SECTION 3. Language and speech analysis in NLP (morphological, syntactic and semantic analysis; speech analysis and synthesis).

How to Cite

MAKING USEFUL TOOLS FOR LANGUAGE COMMUNITIES WITHOUT BIG CORPORA: A VERSATILE MORPHOLOGICAL ANALYSER AND SPELLCHECKER FOR SONGHAY BASED ON FREE SOFTWARE. (2024). «CONTEMPORARY TECHNOLOGIES OF COMPUTATIONAL LINGUISTICS», 2(22.04), 244-254. https://myscience.uz/index.php/linguistics/article/view/59

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