This work focuses on building a machine translation system that translates English sentences into Sinhala. The translation system uses a Neural Machine Translation (NMT) model based on the encoder-decoder architecture with Gated Recurrent Units(GRUs), implemented using TensorFlow. The model is trained to learn sentence-level mappings from English (source language) to Sinhala (target language).
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Milanka00/Neural-Machine-Translator
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NLP application on English to SInhala Neural Machine translation using encoder-decoder model.
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