Comparing Dependency and Constitency Approaches for Interpreting Natural Language

Abstract: The purpose of this paper is to compare two general methods of parsing; dependency parsing and constituency parsing. This is to examine which is favorable when interpreting input in the form of natural language regarding navigating in a simulated environment. Accordingly, we collected a series of different input commands using a form of Wizard-Of-Oz-system were the participants gave commands to what they believed was a fully automated application. Analysis of the tree-structures of each respective method for the retrieved input shows that, while both methods are implementable, constituency parsing is to be preferred due to the stable structuring of the words in the received commands.