Dynamically Scoring Rhymes with Phonetic Features and Sequence Alignment

摘要

We present a formalized rhyme function for machine approximation of human rhyme. Words are represented as sequences of phonemic features that facilitate the use of alignment mechanisms to compute different types of phonemic similarities between words. The rhyme function computes a weighted hierarchical combination of these similarities, with the weights determined using an evolutionary approach. We present empirical and qualitative analyses that demonstrate the rhyme function's ability to successfully detect rhyme, and we briefly discuss the model's linguistic basis and its resulting generality.