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| <h1 style="font-weight: 900; font-size: 3rem; margin: 20px;"> | |
| Porttagger-DANTE | |
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| <p class="slogan">A Brazilian Portuguese part of speech tagger according to the <a | |
| href="https://universaldependencies.org/">Universal Dependencies</a> model | |
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| <p style="margin-top: 30px; margin-bottom: 10px; font-size: 94%; text-align: justify;"> | |
|  Porttagger is a state of the art part of speech tagger for Brazilian Portuguese that automatically assigns | |
| morphosyntactic classes to the words of sentences, following the Universal Dependencies international model. You | |
| may provide single sentences or multiple sentences (using plain text files with several sentences) to be tagged. | |
| You may also choose which trained model to use. The options include a model trained on news texts (using the | |
| <a href="https://sites.google.com/icmc.usp.br/poetisa/resources-and-tools">Porttinari-base</a> corpus), on stock | |
| market tweets (from the <a | |
| href="https://www.kaggle.com/datasets/fernandojvdasilva/stock-tweets-ptbr-emotions">DANTE</a> corpus), on | |
| academic texts from the oil & gas | |
| domain (from the <a | |
| href="https://github.com/UniversalDependencies/UD_Portuguese-PetroGold/blob/master/README.md">PetroGold</a> | |
| corpus), and on all of them together. To the interested reader, this initiative is | |
| part of the <a href="https://sites.google.com/icmc.usp.br/poetisa/">POeTiSA</a> project, where much more | |
| information is available. | |
| See more details about Porttagger in this <a href="https://sol.sbc.org.br/index.php/stil/article/view/25438/25259">paper</a>. | |
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