BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation

arXiv:2403.03521v1 Announce Type: new
Abstract: Neural machine translation (NMT) has progressed rapidly in the past few years, promising improvements and quality translations for different languages. Evaluation of this task is crucial to determine the quality of the translation. Overall, insufficient emphasis is placed on the actual sense of the translation in traditional methods. We propose a bidirectional semantic-based evaluation method designed to assess the sense distance of the translation from the source text. This approach employs the comprehensive multilingual encyclopedic …

abstract arxiv cs.cl evaluation improvements languages machine machine translation neural machine translation quality relations sense translation type