The Development and Testing of a Natural Language Processor that Identifies Various Parts of Speech
Hypothesis 1 states that first grade level sentences will have a 50% or higher accuracy. Hypothesis 2 states that second grade level sentences will have a higher accuracy than 30%. Hypothesis 3 states that first grade sentences will have a higher accuracy than second grade.
The natural language processor was written using C++ and uses strings, maps, and lists. Tests were performed by the user typing a sentence into the dialog and the program breaking the sentence apart, identifying the parts of speech, and displaying a report of the sentence, including type of sentence number of words, length of sentence, and parts of speech.
The data did not support hypotheses 1 & 2 and they were rejected. The data did support hypothesis 3, first grade sentences had a higher accuracy than second grade sentences, and it was accepted.