Developing a Rule-Based Machine-Translation System, Ewondo–French–Ewondo.

Autor:	Ngué Um, Emmanuel, Eliette, Émilie, Assembe, Caroline Ngo Tjomb, Tyers, Francis Morton
Předmět:	LINGUISTIC minorities MACHINE translating DIGITAL technology BANTU languages ARTIFICIAL intelligence COMMUNITIES
Zdroj:	International Journal of Humanities & Arts Computing: A Journal of Digital Humanities; Oct2022, Vol. 16 Issue 2, p166-181, 16p
Abstrakt:	Machine translation (MT) significantly contributes to democratizing access to textual information across multiple languages and is established as a dynamic language service in the global multilingual society. Not surprisingly, the attractiveness of the MT market has stirred up spectacular innovations, driven by artificial intelligence in the digital technology industry. The commercial stakes of the industry has led to massive investments in the development of automatic translation systems for languages of wider communication and an increased marginalization of minority languages in this avenue. This article reports on the on-going development of a low-tech, rule-based MT system for Ewondo, a Bantu low-resourced language spoken in Cameroon. The project aims to fill the gap in access to MT services in the target minority language community and to generate parallel corpora from and into the Ewondo language. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.