TOWARD A 'HALF-MACHINE, HALF-HUMAN' TRANSLATOR FOR LOCAL MALAY: A SIMPLE TRANSLATION APP
DOI:
https://doi.org/10.25170/kolita.v23i23.7183Keywords:
Machine Translation Algorithm, Ambon Malay, Fortran, PythonAbstract
Translation from one language to another requires substantial recources, including manpower and time, often causing significant delays. One possible solution is machine translation, which automates pasrt of the process. Various computational tools, such as Google Translate, Babelfish, adn DocTranslator, have been develop to assist general translation tasks. However, these tools do not support many local languages, despite the high demand for such translations. In Indonesia alone, there are hundreds of local language, making this an urgent need. This challenge motivated the authors to develop a simple translation machine specifically for local Malay languages.