Iykeln/WAZOBIA-NLP

A repo of resources for research, conservation, development, and documentation of Niaja major low-resourced human languages, WA(Hausa), ZO(Yoruba) and BIA(Igbo). # WAZOBIA-NLP A repo of resources for research, conservation, development, and documentation of Naija major low-resourced human languages, WA(Yoruba), ZO(Hausa) and BIA(Igbo). The three largest linguistic groups in Nigeria are collectively called WAZOBỊA. # Outline of Project Goals This project is called WAZOBỊA MulText. It is for building a publicly available multilingual PoS annotated parallel dataset for the three largest linguistic groups in nigeria viz; Hausa, Yoruba and Igbo with English as a source language. This project aims to contribute to the development of resources required for NLP and MT applications to aid in societal and digital inclusion. We propose that this corpus is going to be useful for many NLP applications, where the sentence-alignment, the PoS tagging, and the size of corpora are influential for such tasks as machine translation, language recognition, and bilingual dictionary generation. Kindly contact us at ie.onyenwe@unizik.edu.ng if you would like to fund or be part of this all-important project. We promise to be updating this repo based on the progress of the project. # Contributors List: 1. Dr Ikechukwu Onyenwe, Nnamdi Azikiwe University, Anambra, Nigeria. 2. PROF. PAUL RAYSON, Lancaster University, UK. 3. Prof CHINEDU UCHECHUKWU, Nnamdi Azikiwe University, Anambra, Nigeria. 4. Dr. TUNDE ADEGBOLA, head of African Languages Technology Initiative, Nigeria. 5. Okoli, Chukwunonyelum Esther, Nnamdi Azikiwe University, Anambra, Nigeria. 6. Yakubu Bitrus Gali, Federal University of Kashere, Gombe, Nigeria. 7. Adamu Yusuf, Nnamdi Azikiwe University, Anambra, Nigeria. 8. Emmanuella Ogechukwu, Nnamdi Azikiwe University, Anambra, Nigeria. 9. Aliu Oladimeji Shodunke, University of Ilorin, Ilorin, Nigeria. 10. Dr Ebele Deborah Uba, Nnamdi Azikiwe University, Anambra, Nigeria. # Repo Content: So far, this repo contains WAZOBỊA MulText data: | Lang Name | \# of Words | \# of Sentencs| \# of Speakers| | ------------- | ------------- | ---- …