Translation and technocracy in development

This article attempts to determine the role that translation technology might play in effective, indigenous-led development practices. It uses Maya Guatemala as an example. has seen growth of a robust non-governmental organization (NGO) sector implements technocratic, neoliberal strategies and historically excluded input (Raxche’, 1996). Mayan languages are key focus efforts assert their autonomy (French, 2010, p. 5). Language barriers still render vital resources inaccessible (Fischer-Mackey et al., 2020, 906), few Guatemalan NGOs emphasize work (Henderson 2014, 80). Translation, therefore, is essential component effective inclusive Whereas best practices commercial becoming increasingly intertwined with (Rico Pérez, 2019, 116), remains largely absent from humanitarian (p. 119). Despite opportunity this gap presents, implementation information communication (ICT) such neural machine (NMT) may exacerbate existing power imbalances between technocratic planners intended beneficiaries (Chipidza & Leidner, 153). meta-analytical approach assessing research on subject illustrate ways which language integral three areas: intercommunity meetings, health sector, environmental social impact assessments (ESIAs). Chipidza Leidner’s (2019, 160) theory parity ICT propose NMT serve alternative, more these specific contexts. The details possible solutions anticipated practical challenges implementing contexts; it highlights limitations each application. serves roadmap for indigenous communities.