Papers by Mohammed Hossein Jafari Harandi

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Challenge:	Existing human labeled QE datasets are limited to limited language pairs . a small subset of the proposed dataset can improve its performance by 8% .
Approach:	They propose to use an English-Persian QE dataset with manually annotated direct assessment labels to evaluate translation quality estimation models.
Outcome:	The proposed dataset improves on two state-of-the-art QE models by 8% . the proposed dataset contains 1000 translated sentences from English to Persian .