KoBE: Knowledge-Based Machine Translation Evaluation
We propose a simple and effective method for machine translation evaluation which does not require reference translations. Our approach is based on (1) grounding the entity mentions found in each source sentence and candidate translation against a large-scale multilingual knowledge base, and (2) measuring the recall of the grounded entities found in the candidate vs. those found in the source… Our approach achieves the highest correlation with human judgements on 9 out of the 18 language pairs from the WMT19 […]
Read more