TCSL at the MediaEval 2014 C@merata Task

We describe a system to address the MediaEval 2014 C@merata task of natural language queries on classical music scores. Our system first tokenizes the question to tag the musically relevant features in the question using pattern matching. In this stage suitable word replacements are made in the question based on a list of synonyms. Using the tokenized sentence we infer the question type using a set of handwritten rules. We then search the input music score based on the question type to find the musical features requested. MIT's music21 library [2] is used for indexing, accessing and traversing the score.