How to interpret the variables when we drop an independent variable to avoid collinearity in Regression?

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I went through this and this. So whenever there are dummy variables which happen to be collinear, we need to drop one of them to avoid collinearity. My confusion is how would I interpret the value of the other dummy variables with respect to the variable that I dropped?

For example, if I have 3 variables - Human, Bart and Pegasus, as binary variables. They represent how much repetition of words is there in each architecture. I dropped the human column and the values for the coefficient for Bart and Pegasus were :

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Bart is -83.0908 and Pegasus is 76.5434. How do I interpret these in terms of the Human architecture? Please help!

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