Abstract: Language Translation is the process of detecting the language from any kind of Text, Text File, or an Image and then translate it into target language. Implementation of a Natural Language Processing model for Language Translation is to be carried out in this project. The major task is to identify those features or parameters which could be used to clearly distinguish the language and translate it. This model makes use of Machine Learning, Artificial Intelligence, and Natural Language Processing. The project aims at detecting Japanese and translate it into English. Experiments were conducted by forming text samples obtained from online articles and social media. This corpus comprises of general articles, each of them spanning over at least 100 words. The entire corpus is split into two sets, larger unit as the training data-set and a smaller set as the test set.
Keywords: Language, Translation, Japanese, English.
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DOI:
10.17148/IJARCCE.2022.11431
