The ultimate goal of ¢ ¡ ¤ £ £ ¦ £ is to alleviate the data labelling bottleneck by means of a trade-off between quality and quantity of the training data.
the automatic sense tagging for Mt and SV2LS tR training data is based on using SALAAM with machine translated parallel corpora.