BLEU is a metric to quantify effectiveness of an Machine Translation (MT). It stands for BiLingual Evaluation Understudy $^{[1]}$. In general it solves the problem of different human translation references by different annotators when comparing to machine generated translation. Let’s start from using BLEU in NLTK translation package $^{[2]}$
I’ve implemented virtebi algorithm and explain the advantage from naive approach at last post. Now it’s time to look at another use case example: the Part of Speech Tagging!
Introduction to Virtebi Algorithm, Virtebi Path, Markov Chain, Hidden Markov Model.
One way ANOVA (Analysis of Variance) is a technique for hypothesis testing. It is used to test whether the means of different group is really different.
It is a probabilistic data structure, that is commonly used to ask question “whether an element is in it or not?”. From my description, it does seems like a job that Set can do, sooo…