Improving Word Alignment using Word Similarity
Theerawat Songyot, David Chiang · 2014
We show that semantic relationships can be used to improve word alignment, in addition to the lexical and syntactic features that are typically used.In this paper, we present a method based on a neural network to automatically derive word similarity from monolingual data.We present an extension to word alignment models that exploits word similarity.Our experiments, in both large-scale and resourcelimited settings, show improvements in word alignment tasks as well as translation tasks.