Context-Aware Graph Segmentation for Graph-Based Translation
In this paper, we present an improved graph-based translation model which segments an input graph into node-induced subgraphs by taking source context into consideration. Translations are generated by combining subgraph translations left-to-right using beam search. Experiments on Chinese{--}English and German{--}English demonstrate that the context-aware segmentation significantly improves the baseline graph-based model.
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