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Found 5 papers, 4 papers with code
A Quality Estimation and Quality Evaluation Tool for the Translation Industry
In the latter, a quality estimate of the translation output can guide the human post-editor or even make rough approximations of the post-editing effort.
Tailoring Domain Adaptation for Machine Translation Quality Estimation
While quality estimation (QE) can play an important role in the translation process, its effectiveness relies on the availability and quality of training data.
Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews
However, only a few reviews ever receive any helpfulness votes on online marketplaces.
Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts
We then select the top K sentences with the highest similarity score to train a new machine translation system tuned to the specific in-domain data.
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus
To best of our knowledge, we do not merely suffer from lack of well-annotated Persian sentiment corpus, but also a novel model to classify the Persian opinions in terms of both multiple and binary classification.
