Word Alignment Between Chinese and Japanese Based on Weighted Bipartite Graph
Yu Ge · Zhongwen xinxi xuebao · 2007
The paper proposed a word alignment model which matches words by maximum matching on a weighted bipartite graph and measures word similarity in terms of morphological similarity,semantic distance,part of speech and co-occurrence.The experiments on Chinese-Japanese word aligment shows that this model can partly solve some problems of existing word alignment methods,such as the unknown word problem,the synonym problem and the global optimization problem.In the experiment,the F-score of our method is 80%,better than the F-score 72% of GIZA++.