LT World

You are here: Home kb Information & Knowledge Technologies Maximum Entropy Methods

Maximum Entropy Methods




Maximum entropy methods are techniques for the estimation of probability distributions that pick the "most uniform" distribution compatible with the observed statistics. The maximum entropy formulation has a unique solution which can be found by iterative scaling algorithms. Maximum entropy models have been applied to NLP-related task like text segmentation and classification, language modeling, part-of-speech tagging, parsing, and machine translation.


ME; MEM

Maximum Entropy; ME Methods;