my-translation-package-deep-learning 0.1.5

A package for sequence-to-sequence models with encoder-decoder architecture

My Translation Package

A package for sequence-to-sequence models with encoder-decoder architecture, designed for machine translation tasks. This package can be used for translating text from one language to another using an encoder-decoder model with attention mechanism.

Overview

The my_translation_package provides a simple and flexible way to create and train encoder-decoder models with attention for machine translation. It supports preprocessing, tokenization, and evaluation of text data, making it easy to develop and deploy machine translation models for various language pairs.

Features

• Encoder-Decoder Architecture: Implements an encoder-decoder model with LSTM layers.
• Attention Mechanism: Integrates attention mechanism to improve translation accuracy.
• Flexible Preprocessing: Supports customizable preprocessing functions for different languages.
• Easy Tokenization: Provides utilities for tokenizing and padding text data.
• Training and Evaluation: Includes functions for training and evaluating the model.

Installation

You can install the package using pip:

pip install my_translation_package