This paper describes Dublin City University’s (DCU) submission to the WMT 2014 Medical Summary task. We report our results on the test data set in the French to English translation direction. We also report statistics collected from the corpora used to train our translation system. We conducted our experiment on the Moses 1.0 phrase-based translation system framework. We performed a variety of ...

Several bilingual WSD algorithms which exploit translation correspondences between parallel corpora have been proposed. However, the availability of such parallel corpora itself is a tall task for some of the resource constrained languages of the world. We propose an unsupervised bilingual EM based algorithm which relies on the counts of translations to estimate sense distributions. No parallel...

In continuous learning settings stochastic stable policies are often necessary to ensure that agents continuously adapt to dynamic environments. The choice of the decentralised learning system and the employed policy plays an important role in the optimisation task. For example, a policy that exhibits fluctuations may also introduce non-linear effects which other agents in the environment may n...

While there are a number of corpora with protein annotations, the annotations in different corpora are not compatible with each other. It is, however, not yet well understood how they are different and how the incompatibilities can be overcome. The situation discourages utilization of the corpora in a united way. It also indicates that even within individual corpora, the actual annotations are ...

This paper experiments with frequency-based corpus similarity measures across 39 languages using a register prediction task. The goal is to quantify (i) the distance between different corpora from same language and (ii) homogeneity of individual corpora. Both these goals are essential for measuring how well corpus-based linguistic analysis generalizes one dataset another. problem that previous ...