  Machine Translation (MT) is an area in natural language processing, which
focus on translating from one language to another. Many approaches ranging from
statistical methods to deep learning approaches are used in order to achieve
MT. However, these methods either require a large number of data or a clear
understanding about the language. Sinhala language has less digital text which
could be used to train a deep neural network. Furthermore, Sinhala has complex
rules therefore, it is harder to create statistical rules in order to apply
statistical methods in MT. This research focuses on Sinhala to English
translation using an Evolutionary Algorithm (EA). EA is used to identifying the
correct meaning of Sinhala text and to translate it to English. The Sinhala
text is passed to identify the meaning in order to get the correct meaning of
the sentence. With the use of the EA the translation is carried out. The
translated text is passed on to grammatically correct the sentence. This has
shown to achieve accurate results.
