Australasian Language Technology Association (Australia)
Abstract
We investigated methods for the discovery of cliches from song lyrics. Trigrams and rhyme features were extracted from a collection of lyrics and ranked using term-weighting techniques such as tf-idf. These attributes were also examined over both time and genre. We present an application to produce a cliche score for lyrics based on these findings and show that number one hits are substantially more cliched than the average published song
