AUTOMATED AND HUMAN INTERACTION IN WRITTEN DISCOURSE: A CONTRASTIVE PARALLEL CORPUS-BASED INVESTIGATION OF METADISCOURSE FEATURES IN MACHINE-HUMAN TRANSLATIONS

Automated and Human Interaction in Written Discourse: A Contrastive Parallel Corpus-based Investigation of Metadiscourse Features in Machine-Human Translations

The rise of the internet has generated a footballs need for fast online translations, which human translators cannot meet.Statistical tools such as Google and Baidu Translate provide automatic translation from one written language to another.This study reports the descriptive comparison of the machine-translation (MT) with human translation (HT), c

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Addressing uncertainty in the safety assurance of machine-learning

There is increasing interest in the application of machine learning (ML) technologies to safety-critical cyber-physical systems, with the promise of increased levels of autonomy eye due to their potential for solving complex perception and planning tasks.However, demonstrating the safety of ML is seen as one of the most challenging hurdles to their

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