The following was a project I completed for a graduate course in Artificial Intelligence I took at the University of Memphis in the spring of 2019. For the project, I analyzed whether part of speech evaluation could modulate Markov Chain-based next word predictors. In particular, I developed and tested two different strategies for incorporating part of speech predictions, which I termed excluder and multiplier. The multiplier method performed better than the excluder and matched the performance of the control. Hopefully, this is a helpful exploration into ways to use lexical information to improve next word predictors.
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