Problem towards local language translation in artificial neural networks


  • Wuyi Len South China Normal University, Guangzhou, China
  • Ruiwong Hoang South China Normal University, Guangzhou, China


regional language, obstacles, segmentation technique, translation process, text classification


Regional languages ​​are the languages ​​used to communicate with each other in certain areas. Many factors have weakened the current generation's awareness of preserving the local language. One of them is the lack of means that can be used to access information from the regional language itself, so this is one of the obstacles that occur. This study will design a system for translating an image/image containing Indonesian text into a text in regional languages. This research starts from the pre-processing stage, the character segmentation technique in the image uses the Connected Component Analysis labeling, then the image is extracted then the character image is classified using the Artificial Neural Network method. The next step is combining characters into the text. After that, the translation process uses the Levenshtein algorithm to match the text classification results with regional languages. This research is expected to be able to translate Indonesian text images into regional language texts, to help preserve regional languages ​​in Indonesia.


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How to Cite

Len, W., & Hoang, R. (2019). Problem towards local language translation in artificial neural networks. Applied Translation, 13(2), 8–15.



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