Language Ecology and Endangerment Dataset for South-South Nigeria

Published: 11 December 2024| Version 3 | DOI: 10.17632/sp23gbtvsj.3
Contributors:
Moses Ekpenyong,
, Eno-Abasi Urua, Nse Udoh, Ebitare Obikudo, Ogbonna Anyanwu, Ahmadu Shehu, Esther Sylvanus, Richard Bassey, Unyime Saturday, Temitope Fakiyesi, Celestina-Predia Kekai, EmemObong Udoh, Stella Ansa, Emeka Ifesie, Gladys Ikhimwin, Unyime Udoeyo, Emem Alexander, Emmanuel Okon, Mfon Ekpe, Benjamin Okon, Moses Darah, Akpobome Diffre-Odiete, Lucky Ejobee, William Aigbedo, Francis Imoudu, Chima Manda, Mee-eebari Kiine, Doris Ugwu, Aniefon Akpan

Description

This dataset was obtained from a field survey conducted on proper households (those with at least one parent and one child) in the South-South Geopolitical Zone of Nigeria. The dataset, collected between July 2023 and April 2024 using a purposeful sampling method, includes 543 validated responses captured in real-time through an online, electronic survey (e-survey) instrument developed with Google Forms. The survey instrument was synthesised from the United Nations Educational, Scientific, and Cultural Organisation (UNESCO) 2003 Language Vitality and Endangerment (LVE) framework/questionnaire to capture personalised views from households (five per Local Government Area (LGA)) within the language communities. The synthesised instrument makes the dataset suitable for identifying the causal LVE factors, group(s) or agent(s), thereby supporting efficient knowledge extraction and localisation. Also included are data on the speech systems of the languages spoken in these communities–consisting of recorded speech of 108 words selected from the Swadesh wordlist, with textual documentation of the gloss, syllable, and tone patterns of each word. The dataset is useful for mining insights into LVE patterns, providing a basis for understanding linguistic trends, changes, interactions over time, and other factors impacting language sustainability. It can also can support the analysis of complex linguistic behaviours across language communities.

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Institutions

University of Uyo

Categories

Arts and Humanities, Linguistics, Data Mining, Geographic Information System

Funding

Tertiary Education Trust Fund

TETF/ES/DR&D-CE/NRF2020/HSS/13/VOL.1.

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