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Automatic Translation of Spatial and Non-Spatial Expressions from English into ...

Rafael Macário Fernandes; Souza, Rodrigo; Lopes, Marcos; Santos, Paulo; Finbow, Thomas

Neural models for Machine Translation have been proving significant advances in performance in recent years, becoming the most widely employed tools for that task. Nevertheless, they still struggle with semantically complex expressions. In this paper, we investigated the performance of two of the most widely used systems available today, namely Google Translator and DeepL, in translating expressions involving r...

Date: 2025   |   Origin: Linguamática
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