In this paper, we t)resent and compare various alignnmnt models for statistical machine translation. We propose to measure tile quality of an aligmnent model using the quality of ...
Mophological processing, syntactic parsing and other useflfl tools have been proposed in the field of natural language processing(NLP). Many of those NLP tools take dictionary-bas...
Coordination in natural language hamlmrs ef tieient parsing, especially due to the multiple and mostly unintended candidate conjuncts/disjmmts in a given sentence that shows struc...
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Recent years have shown a surge in interest in temporal database systems, which allow users to store time-dependent intbrmation. We present a novel controlled natural language int...
While recent advancements in virtual reality technology have created a rich communication interface linking humans and computers, there has been little work on building dialogue s...