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    "info": {
        "author": "MoraesCaio (LAVID-UFPB)",
        "author_email": "caiomoraes.cesar@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
            "Natural Language :: Portuguese (Brazilian)",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Text Processing :: Linguistic"
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        "description": "\n# VLibras Translate\n\n![Version](https://img.shields.io/badge/version-v1.0.10-blue.svg)    ![Platform](https://img.shields.io/badge/platform-Linux-lightgrey.svg) ![License](https://img.shields.io/badge/license-LGPLv3-blue.svg) ![VLibras](https://img.shields.io/badge/vlibras%20suite-2019-green.svg)\n\n---\nO VLibras \u00e9 um projeto desenvolvido no Laborat\u00f3rio de Aplica\u00e7\u00f5es de V\u00eddeo Digital (LAVID) para a tradu\u00e7\u00e3o de Portugu\u00eas Brasileiro (PT-BR) para Libras. O pacote VLibras Translate \u00e9 parte da su\u00edte VLibras e disponibiliza um conjunto de ferramentas de pr\u00e9-processamento de texto para tradu\u00e7\u00e3o por deep learning e um m\u00f3dulo de tradu\u00e7\u00e3o PT-BR/Libras.\n\n## Sum\u00e1rio\n - [Pr\u00e9-requisitos](#pr\u00e9-requisitos)\n - [Instala\u00e7\u00e3o](#instala\u00e7\u00e3o)\n - [Utiliza\u00e7\u00e3o](#utiliza\u00e7\u00e3o)\n    - [Tradu\u00e7\u00e3o PT-BR/Libras](#tradu\u00e7\u00e3o-ptbr-libras)\n        - [Tradu\u00e7\u00e3o de Texto](#tradu\u00e7\u00e3o-de-texto)\n        - [Tradu\u00e7\u00e3o de Arquivo](#tradu\u00e7\u00e3o-de-arquivo)\n    - [Pr\u00e9-Processamento](#pr\u00e9-processamento)\n        - [Texto de Treino](#texto-de-treino)\n        - [Texto de Teste](#texto-de-teste)\n        - [Arquivo de Treino](#arquivos-de-treino)\n        - [Arquivo de Teste](#arquivo-de-teste)\n - [Licen\u00e7a](#license)\n\n## Pr\u00e9-requisitos\n- Java 8\n- Hunspell (__sudo apt-get install libhunspell-dev__)\n- Python 3\n\n## Instala\u00e7\u00e3o\n- pip3 install vlibras-translate\n\n## Utiliza\u00e7\u00e3o\n\nO VLibras Translate possui duas interfaces: o seu m\u00f3dulo python (__vlibras_translate__) e suas linhas de comando (__vlibras-translate__ e __vlibras-translate-file__). Para utilizar a interface de linha de comando, o alias 'python' deve ser uma vers\u00e3o de python 3 com o vlibras_translate instalado. Para definir o alias \u00e9 recomendado um dos seguintes modos:\n\n- Adicionar ao final do arquivo __~/.bashrc__ a linha __alias python='python3'__. Em seguida, fechar e abrir o terminal ou executar o comando __source ~/.bashrc__.\n- Utiliza\u00e7\u00e3o de ambiente virtual para python 3 como o [conda](https://docs.conda.io/en/latest/);\n\n## Tradu\u00e7\u00e3o PTBR-Libras:\n### Tradu\u00e7\u00e3o de Texto\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\ntradutor = vlibras_translate.translation.Translation()\nglosa = tradutor.rule_translation('Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja.')\nprint(glosa)\n```\nSa\u00edda\n```\nMARIA COMPRAR POR 3 PARCELA 35 V\u00cdRGULA 50 REAL AQUELE LOJA [PONTO]\n```\n#### Linha de comando\n```\nvlibras-translate -r 'Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja.'\n```\nSa\u00edda\n```\nGLOSA (rule):\nMARIA COMPRAR POR 3 PARCELA 35 V\u00cdRGULA 50 REAL AQUELE LOJA [PONTO]\n```\n### Tradu\u00e7\u00e3o de Arquivo\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\nvlibras_translate.file_translation.FileTranslation()\ntradutor.rule_translation('minha_pasta/texto_treino_ptbr1', 'minha_pasta/texto_treino_ptbr2', 'minha_pasta/texto_treino_ptbr3')\n```\n#### Linha de comando\n```\nvlibras-translate-file -r minha_pasta/texto_treino_ptbr1 minha_pasta/texto_treino_ptbr2 minha_pasta/texto_treino_ptbr3\n```\n## Pr\u00e9-Processamento\nAs ferramentas de pr\u00e9-processamento de texto do VLibras Translate s\u00e3o destinadas ao desenvolvimento de modelos neurais de tradu\u00e7\u00e3o (_deep learning_). S\u00e3o disponibilizadas as seguintes funcionalidades:\n\n- An\u00e1lise morfossint\u00e1tica utilizando o [Aelius](http://aelius.sourceforge.net/)\n- Remo\u00e7\u00e3o de s\u00edmbolos (_e.g._ '-@#') com exce\u00e7\u00e3o de hifens entre palavras e pontos decimais (v\u00edrgula ou ponto, mas n\u00e3o os separadores de milhares). Por exemplo, o pr\u00e9-processamento de '#123 @ -34 1.234,56 guarda-roupa' resulta em '123 34 1234 , 56 guarda-roupa'\n- Reconhecimento de nomes pr\u00f3prios\n- Reconhecimento de erros ortogr\u00e1ficos\n- Lematiza\u00e7\u00e3o utilizando o [cogroo4py](https://github.com/gpassero/cogroo4py)\n- Obten\u00e7\u00e3o de glosas PT-BR/Libras\n- Substitui\u00e7\u00e3o de nomes, n\u00fameros e erros ortogr\u00e1ficos pelos s\u00edmbolos \", ' e # respectivamente. Esta fun\u00e7\u00e3o \u00e9 apenas para arquivos de treino.\n\nOutra funcionalidade oferecida por esse pacote \u00e9 o pr\u00e9-processamento de textos em PT-BR para o desenvolvimento de modelos de deep learning para tradu\u00e7\u00e3o de PT-BR para Libras. Para isso foram implementadas dois pipelines de processamento: um para arquivos de treino e outro para arquivos de teste (que ser\u00e3o traduzidos pelo modelo j\u00e1 treinado). As se\u00e7\u00f5es a seguir cont\u00eam exemplos para a processamento de textos de treino, textos de teste, arquivos de treino e arquivos de teste respectivamente.\n\n### Texto de treino\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\ntradutor = vlibras_translate.translation.Translation()\nptbr_treino, glosa_treino = tradutor.preprocess_train_files('Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja hje.')\nprint(ptbr_treino)\nprint(glosa_treino)\n```\nSa\u00edda\n```\n\" comprou por ' parcelas de ' , ' reais naquela loja # .\n\" COMPRAR POR ' PARCELA ' V\u00cdRGULA ' REAL AQUELE LOJA # [PONTO]\n```\n\n#### Linha de comando\n```\nvlibras-translate -t 'Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja hje.'\n```\nSa\u00edda\n```\nPT-BR (treino):\n\" comprou por ' parcelas de ' , ' reais naquela loja # .\n\nGLOSA (treino):\n\" COMPRAR POR ' PARCELA ' V\u00cdRGULA ' REAL AQUELE LOJA # [PONTO]\n```\n\n### Texto de teste\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\ntradutor = vlibras_translate.translation.Translation()\nptbr_teste = tradutor.preprocess_pt('Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja hje.')\nprint(ptbr_teste)\n```\nSa\u00edda\n```\nmaria comprou por 3 parcelas de 35 , 50 reais naquela loja hje .\n```\n#### Linha de comando\n```\nvlibras-translate -p 'Maria comprou por tr\u00eas parcelas de 35,50 reais naquela loja hje.'\n```\nSa\u00edda\n```\nPT-BR (teste):\nmaria comprou por 3 parcelas de 35 , 50 reais naquela loja hje .\n```\n\n### Arquivos de treino\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\ntradutor = vlibras_translate.file_translation.FileTranslation()\ntradutor.preprocess_train_files('minha_pasta/texto_treino_ptbr1', 'minha_pasta/texto_treino_ptbr2', 'minha_pasta/texto_treino_ptbr3')\n```\n#### Linha de comando\n```\nvlibras-translate-file -t minha_pasta/texto_treino_ptbr1 minha_pasta/texto_treino_ptbr2 minha_pasta/texto_treino_ptbr3\n```\n### Arquivo de teste\n#### M\u00f3dulo Python\n```python\nimport vlibras_translate\ntradutor = vlibras_translate.file_translation.FileTranslation()\ntradutor.preprocess_pt('minha_pasta/texto_teste_ptbr1', 'minha_pasta/texto_teste_ptbr2', 'minha_pasta/texto_teste_ptbr3')\n```\n#### Linha de comando\n```\nvlibras-translate-file -p minha_pasta/texto_teste_ptbr1 minha_pasta/texto_teste_ptbr2 minha_pasta/texto_teste_ptbr3\n```\n\n## Log\n#### 1.0.6\n - Novos sin\u00f4nimos\n\n#### 1.0.7\n - Fix para uso conjunto de processameto de arquivos de treino e tradu\u00e7\u00e3o por regra;\n - Fix para checagem de ortografia de palavras com caracteres fora do padr\u00e3o latin-1\n\n#### 1.0.8\n - Fix para caracteres que n\u00e3o s\u00e3o do conjunto latin-1\n\n#### 1.0.9\n - Fix para compatibilidade com Python 3.5\n\n#### 1.0.10\n - Fix para frases contendo apenas caracteres que n\u00e3o s\u00e3o do conjunto latin-1\n\n## Licen\u00e7a\n\nEste projeto est\u00e1 sob a licen\u00e7a LGPLv3 - veja o link [https://choosealicense.com/licenses/lgpl-3.0/](https://choosealicense.com/licenses/lgpl-3.0/) para detalhes.\n\n# Sobre o VLibras Translate\n\n- Autor: Caio Moraes (caiomoraes.cesar@gmail.com)\n- LAVID ([http://lavid.ufpb.br/](http://lavid.ufpb.br/))\n\n\n",
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