Abstract
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. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Cui, Y., Zhu, C., Zhu, X., Zhao, T., & Zheng, D. (2013). Phrase table combination deficiency analyses in pivot-based SMT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7934 LNCS, pp. 355–358). https://doi.org/10.1007/978-3-642-38824-8_37
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