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        "author": "Samuel Heinrichs",
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        "description": "# Spell Corrector PT\nCorrect automatically words in Portuguese.\n\n# How to use\n- Get word list (best to use domain-specific words to lower the computational costs)\n- Train the Model (check out [example-train.py](https://github.com/samuelhei/spell-corrector-pt/blob/master/example-train.py))\n- Specify the path to save the model to reuse afterward.\n- Load the Model and correct the words (check out [example.py](https://github.com/samuelhei/spell-corrector-pt/blob/master/example.py))\n\n# How the model works (high level)\n- Preprocess the dictionary removing accentuation and transform to lowercase\n- Extract char n_grams from the dictionary\n- Create a sparse matrix from the dictionary utilizing the Bag of Words strategy\n- Create a sparse matrix from the word preprocessed\n- Compare the two sparse matrices by cosine similarity\n- Return the most similar word\n\n\n",
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