A Basic Language Resource Kit Implementation for the Igbo NLP Project
| Autor: | Ikechukwu E. Onyenwe, Mark Hepple, Uchechukwu Chinedu, Ignatius Ezeani |
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| Rok vydání: | 2018 |
| Předmět: |
060201 languages & linguistics
Text corpus General Computer Science Computer science business.industry Igbo 06 humanities and the arts 02 engineering and technology computer.software_genre Basic language language.human_language Text processing 0602 languages and literature Language technology 0202 electrical engineering electronic engineering information engineering language Preprocessor 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
| Zdroj: | ACM Transactions on Asian and Low-Resource Language Information Processing. 17:1-23 |
| ISSN: | 2375-4702 2375-4699 |
| DOI: | 10.1145/3146387 |
| Popis: | Igbo, an African language with around 32 million speakers worldwide, is one of the many languages having few or none of the language processing resources needed for advanced language technology applications. In this article, we describe the approach taken to creating an initial set of resources for Igbo, including an electronic text corpus, a part-of-speech (POS) tagset, and a POS-tagged subcorpus. We discuss the approach taken in gathering texts, the preprocessing of these texts, and the development of the POS tagged corpus. We also discuss some of the problems encountered during corpus and tagset development and the solutions arrived at for these problems. |
| Databáze: | OpenAIRE |
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