Computer Science / BCS 530
Methods in Data-Enabled Research
Homework 1, Due 9/8 10amPlot rank vs. frequency on a log-log scale, and fit parameters for the generalized power law.
Data are in: /u/cs248/data/mt/training.eng on the instructional network. Note: on grad network, the same files are available in /u/cs448.
Homework 2, Due 9/16 10amUse the Kolmogorov-Smirnov statistic to fit x_min and alpha for the data from the previous assignment. Discuss how the values compare with the results of HW 1, and plot both models against the data.
Homework 3, Due 9/23 10amImplement a Kneser Ney bigram language model, training on the file training.eng and testing on test.eng. See test files kn.train, kn.test, kn.out.
Homework 4, Due 10/5 10amImplement IBM Model 1, and plot log probability of training and test files. See test files train.eng, train.fra, test.eng, test.fra.
To turn in: /u/cs530/TURN_IN dir_name
gildea @ cs rochester edu September 30, 2015