2013 | OriginalPaper | Buchkapitel
Phrase Table Combination Deficiency Analyses in Pivot-Based SMT
verfasst von : Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao, Dequan Zheng
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer Berlin Heidelberg
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As the parallel corpus is not available all the time, pivot language was introduced to solve the parallel corpus sparseness in statistical machine translation. In this paper, we carried out several phrase-based SMT experiments, and analyzed the detailed reasons that caused the decline in translation performance. Experimental results indicated that both covering rate of phrase pairs and translation probability accuracy affect the quality of translation.