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arXiv · 1308.4479

An Investigation of the Sampling-Based Alignment Method and Its Contributions

Juan Luo·Yves Lepage
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Abstract

By investigating the distribution of phrase pairs in phrase translation tables, the work in this paper describes an approach to increase the number of n-gram alignments in phrase translation tables output by a sampling-based alignment method. This approach consists in enforcing the alignment of n-grams in distinct translation subtables so as to increase the number of n-grams. Standard normal distribution is used to allot alignment time among translation subtables, which results in adjustment of the distribution of n- grams. This leads to better evaluation results on statistical machine translation tasks than the original sampling-based alignment approach. Furthermore, the translation quality obtained by merging phrase translation tables computed from the sampling-based alignment method and from MGIZA++ is examined.

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Juan Luo, Yves Lepage. 2013-08-21. An Investigation of the Sampling-Based Alignment Method and Its Contributions. https://doi.org/10.5121/ijaia.2013.4402

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