Document-Level Automatic Machine Translation Evaluation Based on Weighted Lexical Cohesion
Gong Zhengxia · Beijing Daxue Xuebao. Zirankexueban · 2014
Based on LC method, weighted LC(WLC) method is proposed, which assigns weights for words by PageRank algorithm running on word graph of documents. Furthermore, a new method named PWLC is also proposed, which biases PageRank algorithm to words with specific POS tags. The experiment results show that WLC and PWLC have higher Spearman correlation than LC at document-level evaluation. Combined with others metrics, such as BLEU and TER, the proposed metrics both show better performance of evaluation at document level.