[PDF][PDF] Improving pivot-based statistical machine translation by pivoting the co-occurrence count of phrase pairs
Proceedings of the 2014 Conference on Empirical Methods in Natural …, 2014•aclanthology.org
To overcome the scarceness of bilingual corpora for some language pairs in machine
translation, pivot-based SMT uses pivot language as a" bridge" to generate source-target
translation from sourcepivot and pivot-target translation. One of the key issues is to estimate
the probabilities for the generated phrase pairs. In this paper, we present a novel approach
to calculate the translation probability by pivoting the co-occurrence count of source-pivot
and pivot-target phrase pairs. Experimental results on Europarl data and web data show that …
translation, pivot-based SMT uses pivot language as a" bridge" to generate source-target
translation from sourcepivot and pivot-target translation. One of the key issues is to estimate
the probabilities for the generated phrase pairs. In this paper, we present a novel approach
to calculate the translation probability by pivoting the co-occurrence count of source-pivot
and pivot-target phrase pairs. Experimental results on Europarl data and web data show that …
Abstract
To overcome the scarceness of bilingual corpora for some language pairs in machine translation, pivot-based SMT uses pivot language as a" bridge" to generate source-target translation from sourcepivot and pivot-target translation. One of the key issues is to estimate the probabilities for the generated phrase pairs. In this paper, we present a novel approach to calculate the translation probability by pivoting the co-occurrence count of source-pivot and pivot-target phrase pairs. Experimental results on Europarl data and web data show that our method leads to significant improvements over the baseline systems.
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