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View all- Chen M(2023)A Deep Learning-Based Intelligent Quality Detection Model for Machine TranslationIEEE Access10.1109/ACCESS.2023.330539711(89469-89477)Online publication date: 2023
Context-aware machine translation approaches improve the quality of translation by incorporating the context of the surrounding phrases in the translation of a phrase. So far, for the low-resource language pair English-Amharic, context-aware ...
This paper presents a snapshot of what has been investigated in terms of the relationship between machine translation (MT) and foreign language (FL) teaching and learning. For this purpose four different roles of MT in the language class have been ...
The poor grammatical output of Machine Translation (MT) systems appeals syntax-based approaches within language modeling. However, previous studies showed that syntax-based language modeling using (Context-Free) Treebank Grammars was not very helpful in ...
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