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Titlebook: Computational Processing of the Portuguese Language; 14th International C Paulo Quaresma,Renata Vieira,Teresa Gonçalves Conference proceedi

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Making the Most of Synthetic Parallel Texts: Portuguese-Chinese Neural Machine Translation Enhanced que used to augment the amount of parallel data available for training Machine Translation systems and is known to improve translation quality and thus mitigate the lack of data for under-resourced language pairs. It is assumed that, when training on synthetic parallel data, the original monolingual
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Fake News Detection on Fake.Br Using Hierarchical Attention Networksts. This article examines the use of Hierarchical Attention Network (HAN) as a method for automatic fake news detection. We evaluate the proposed models in the Brazilian Portuguese fake news parallel corpus Fake.Br using its original full text, and also in the truncated version. We run the HAN varyi
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Back to the Feature, in Entailment Detection and Similarity Measurement for Portugueseus to build a supervised model, and employs the same features regardless of the task. Our experiments cover two types of features, contextualized embeddings and lexical features, which we evaluate separately and in combination. The model is derived from a voting strategy on an ensemble of distinct r
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Gabi Dreo Rodosek,Mario Gollingtanding of the static and dynamic aspects of speech, namely by providing information regarding which articulators are essential (critical) in producing specific sounds and how (gestures). Previous work has successfully demonstrated the possibility to determine critical articulators considering vocal
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