Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
Telegraphic messages with numerous instances of omission pose a new challenge to parsing in that a sentence with omission causes a higher degree of ambi6uity than a sentence witho...
Young-Suk Lee, Clifford J. Weinstein, Stephanie Se...
Given a number of machine translations of a source segment, the goal of system combination is to produce a new translation that has better quality than all of them. This paper des...
This paper investigates the effect of direction in phrase-based statistial machine translation decoding. We compare a typical phrase-based machine translation decoder using a left...
— This paper presents work-in-progress towards a C++ source-to-source translator that automatically seeks parallelisable code fragments and replaces them with code for a graphics...
Jay L. T. Cornwall, Olav Beckmann, Paul H. J. Kell...