This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Hierarchical phrase-based translation model has been proven to be a simple and powerful machine translation model. However, due to the computational complexity constraints, the ext...
When people communicate in their native languages using machine translation, they face various problems in constructing common ground. This study investigates the difficulties of ...