Context-Aware Machine Translation with Source Coreference Explanation

arXiv:2404.19505v1 Announce Type: new
Abstract: Despite significant improvements in enhancing the quality of translation, context-aware machine translation (MT) models underperform in many cases. One of the main reasons is that they fail to utilize the correct features from context when the context is too long or their models are overly complex. This can lead to the explain-away effect, wherein the models only consider features easier to explain predictions, resulting in inaccurate translations. To address this issue, we propose a model …

abstract arxiv cases context cs.cl features improvements machine machine translation quality translation type