Aplikasi translate bahasa lampung how to#

By utilizing SOM, the application could recognize 75% Lampung letters. Images are retrieved from web camera and print screen application from the computer (Prarian, 2010). Next, Prarian creates an application that utilizes SOM to recognize Lampung letters. Limbing found that SOM could recognize 70.43% sentences and 55.62% paragraphs for the font that has not been trained before. First of all, Limbing uses self-organizing map (SOM) to recognize Latin letters in an image (Limbing, 2007). Several researches in this area had been conducted. As the computer can not read the text directly from the image, it needs a preprocessing phase to read the text in the image. However, using the image from the smartphoneâ€™s camera emerges a new problem. With this approach, we expect the application will help 28 million visitors who visit Russia (UNWTO, 2014) to translate the Russian word easier. According to those problems, how if we change the way users input the word to the dictionary? We propose to provide the input by using image captured by the smartphoneâ€™s camera. It is difficult to search the Russian word in dictionary book or type it in digital dictionary either.

Aplikasi translate bahasa lampung how to#

This problem will affect the ability of visitors to translate it.įrom the statement mentioned earlier, the problem in translating Russian word is how to provide the word to be an input to the digital dictionary. As well as its other neighbor countries, Russia uses letters called Cyrillic instead of Latin. This is caused by the Russian letters are not like common letters by the most visitors. Searching translation for Russian word by using digital dictionary in a smartphone might be as difficult as searching by using dictionary book.