In this paper, authors have demonstrated that MT evaluation using sentence embedding-based approach closely mirrors linguistic evaluation technique. The ...

This paper presents a meta-analyses of machine Translation evaluation metrics like BiLingual Evaluation Understudy (BLEU) and Metric for Evaluation of ...

Machine Translation Evaluation: Unveiling the Role of Dense Sentence Vector Embedding for Morphologically Rich Language · Abstract · No full-text available.

May 29, 2019 · In this paper, authors explored the topic further and investigated the similarity measures between reference translation and candidate ...

Apr 25, 2024 · Machine Translation Evaluation: Unveiling the Role of Dense Sentence Vector Embedding for Morphologically Rich Language. Int. J. Pattern ...

In this study we aim at the automatic evaluation of machine translation through the residual analysis at the sentence level. We created a dataset, ...

Authors have demonstrated that MT evaluation using sentence embedding-based approach closely mirrors linguistic evaluation technique. (Lin et. al., 2020) ...

Machine Translation (MT) depends upon the MT evaluation for comparing several MT systems and gives a measure of their efficiency in terms of translation ...

Machine Translation Evaluation: Unveiling the Role of Dense Sentence Vector Embedding for Morphologically Rich Language. Article. Mar 2019.

Tripathi, S., Kansal, V.: Machine translation evaluation: unveiling the role of dense sentence vector embedding for morphologically rich language. Int. J ...