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This repository contains materials and analysis for an NLP assignment focused on translation tasks using LSTM-based and Seq-to-Seq models. The work involves exploring dataset formats, building model architectures, and evaluating model performance using BLEU and ChrF metrics.
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- **Colab Links** (`Colab Links.txt`):
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- A text file with direct links to the Google Colab notebooks for easy access and execution.
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## Getting Started
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### Prerequisites
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To run the Jupyter notebooks, you will need:
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# Build your own simple translator LSTM and Seq-to-Seq translator
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This repository contains materials and analysis for an NLP assignment focused on translation tasks using LSTM-based and Seq-to-Seq models. The work involves exploring dataset formats, building model architectures, and evaluating model performance using BLEU and ChrF metrics.
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- **Colab Links** (`Colab Links.txt`):
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- A text file with direct links to the Google Colab notebooks for easy access and execution.
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### Prerequisites
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To run the Jupyter notebooks, you will need:
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