Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation
Lilin Zhang, Zhen Weng, Wenyan Xiao, Wan Jianyi, Zhiming Chen, Yiming Tan, Maoxi Li, Mingwen Wang · 2016
Paraphrase can help match synonyms or match phrases with the same or similar meaning, thus it plays an important role in automatic evaluation of machine translation.The traditional approaches extract paraphrase in general domain from bilingual corpus.Because the WMT16 metrics task consists of three subtasks, namely news domain, medical domain, and IT domain, we propose to extract domainspecific paraphrase tables from monolingual corpus to replace the general paraphrase table.We utilize the M-L approach to filter the large scale general monolingual corpus into a domain-specific sub-corpus, and exploit Markov Network model to extract paraphrase tables from the sub-corpus.The experimental results on WMT15 Metrics task show that METEOR metric using the domain-specific paraphrase tables outperforms that using the paraphrase table in general domain extracted from the bilingual corpus.