Context-Aware Graph Segmentation for Graph-Based Translation

Abstract

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.

Tasks

Reproductions