translating English sentences to French using a seq2seq model that learns to encode the source sequences (English) into a fixed context vector C and passing C into a decoder that predicts that the next word translation in the output sequence. LSTM hidden units were used to capture long term dependencies. Dataset: WMT'14 (en-fr) from HuggingFace
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translating English sentences to French using a seq2seq model that learns to encode the source sequences (English) into a fixed context vector C and passing C into a decoder that predicts that the next word translation in the output sequence. LSTM hidden units were used to capture long term dependencies. Dataset: WMT'14 (en-fr) from HuggingFace
MyDarapy/english-to-french-Neural-Machine-Translation
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translating English sentences to French using a seq2seq model that learns to encode the source sequences (English) into a fixed context vector C and passing C into a decoder that predicts that the next word translation in the output sequence. LSTM hidden units were used to capture long term dependencies. Dataset: WMT'14 (en-fr) from HuggingFace
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