acl acl2013 acl2013-15 acl2013-15-reference knowledge-graph by maker-knowledge-mining
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Author: Qun Liu ; Zhaopeng Tu ; Shouxun Lin
Abstract: In this paper, we propose a novel compact representation called weighted bipartite hypergraph to exploit the fertility model, which plays a critical role in word alignment. However, estimating the probabilities of rules extracted from hypergraphs is an NP-complete problem, which is computationally infeasible. Therefore, we propose a divide-and-conquer strategy by decomposing a hypergraph into a set of independent subhypergraphs. The experiments show that our approach outperforms both 1-best and n-best alignments.
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