https://github.com/arpan132002/english-to-french-translation-lstm

This project demonstrates the use of Long Short-Term Memory (LSTM) networks for translating English text to French.
https://github.com/arpan132002/english-to-french-translation-lstm

deep-learning lstm-neural-networks machine-learning nlp

Last synced: about 1 month ago
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This project demonstrates the use of Long Short-Term Memory (LSTM) networks for translating English text to French.

• Host: GitHub
• URL: https://github.com/arpan132002/english-to-french-translation-lstm
• Owner: arpan132002
• Created: 2024-08-05T10:52:00.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-07T05:24:30.000Z (5 months ago)
• Last Synced: 2024-08-07T13:20:11.108Z (5 months ago)
• Topics: deep-learning, lstm-neural-networks, machine-learning, nlp
• Language: Jupyter Notebook
• Homepage:
• Size: 18 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# English-to-French-Translation-LSTM-NLP

This project demonstrates the use of Long Short-Term Memory (LSTM) networks for translating English text to French. The model is trained on a dataset of English-French sentence pairs and aims to provide accurate translations.

## Project Overview

The main components of this project include:

- **Data Preprocessing**: Tokenization and padding of sentences to prepare the data for the LSTM model.

- **Model Architecture**: Building and training an LSTM-based sequence-to-sequence (Seq2Seq) model for translation.

- **Evaluation**: Measuring the performance of the model using BLEU scores and other relevant metrics.

- **Inference**: Translating new English sentences into French using the trained model.

Achieved LSTM model Validation accuracy of 89.85%