Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The main argument of this article is that natural language processing (NLP) projects of Indigenous African languages can be understood as an effort to restore and preserve Africa’s memory in the digital. Language has always occupied a particular place in the African decolonial imaginary. Several African states embarked on processes of Africanisation of postcolonial institutions in their respective national contexts. One of the main features of this project in many African countries was the restoration of African languages in education and public service. Taking a social constructivist approach rooted in science and technology studies and looking through the analytical lens of decoloniality in Africa, I conceptualise NLP models of Indigenous African languages as liberating artifacts. I mobilise decolonial theory to look at language as a technology that can be used to dis-member and re-member the African subjects of their memory of being as people. The coloniser erased the memory of the African subjugated by cutting off their linguistic connections and instead planted the European memory. From this perspective, decolonisation can be understood as a process of re-memberment that can be achieved through the return of the languages of those whose humanity has been denied or questioned. In this sense, NLP projects offer instances of the digital that represent spaces of restoration and negotiated digital futurities. I contend that these digital spaces in Africa are social spaces of contestation about what common investments should be made, what collective futures are desirable and what are the perceived material consequences of such shared imaginations.
The main argument of this article is that natural language processing (NLP) projects of Indigenous African languages can be understood as an effort to restore and preserve Africa’s memory in the digital. Language has always occupied a particular place in the African decolonial imaginary. Several African states embarked on processes of Africanisation of postcolonial institutions in their respective national contexts. One of the main features of this project in many African countries was the restoration of African languages in education and public service. Taking a social constructivist approach rooted in science and technology studies and looking through the analytical lens of decoloniality in Africa, I conceptualise NLP models of Indigenous African languages as liberating artifacts. I mobilise decolonial theory to look at language as a technology that can be used to dis-member and re-member the African subjects of their memory of being as people. The coloniser erased the memory of the African subjugated by cutting off their linguistic connections and instead planted the European memory. From this perspective, decolonisation can be understood as a process of re-memberment that can be achieved through the return of the languages of those whose humanity has been denied or questioned. In this sense, NLP projects offer instances of the digital that represent spaces of restoration and negotiated digital futurities. I contend that these digital spaces in Africa are social spaces of contestation about what common investments should be made, what collective futures are desirable and what are the perceived material consequences of such shared imaginations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.