| In this thesis, we report on design and implementation of a Hidden Markov Model (HMM) to extract acronyms and their expansions. We also report on the training of this HMM with Maximum Likelihood Estimation (MLE) algorithm using a set of examples.;Finally, we report on our testing using standard recall and precision. The HMM achieves a recall and precision of 98% and 92% respectively. |
