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Modeling Harmony with Skip-Grams
String-based (or viewpoint) models of tonal harmony often struggle with ...
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Semantics- and Syntax-related Subvectors in the Skip-gram Embeddings
We show that the skip-gram embedding of any word can be decomposed into ...
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Learning Interpretable Musical Compositional Rules and Traces
Throughout music history, theorists have identified and documented inter...
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The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain
Eliciting semantic similarity between concepts in the biomedical domain ...
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Skip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation
We present a novel family of language model (LM) estimation techniques n...
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Paraphrasing verbal metonymy through computational methods
Verbal metonymy has received relatively scarce attention in the field of...
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Psychological constraints on string-based methods for pattern discovery in polyphonic corpora
Researchers often divide symbolic music corpora into contiguous sequence...
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Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams
Recurrent voice-leading patterns like the Mi-Re-Do compound cadence (MRDCC) rarely appear on the musical surface in complex polyphonic textures, so finding these patterns using computational methods remains a tremendous challenge. The present study extends the canonical n-gram approach by using skip-grams, which include sub-sequences in an n-gram list if their constituent members occur within a certain number of skips. We compiled four data sets of Western tonal music consisting of symbolic encodings of the notated score and a recorded performance, created a model pipeline for defining, counting, filtering, and ranking skip-grams, and ranked the position of the MRDCC in every possible model configuration. We found that the MRDCC receives a higher rank in the list when the pipeline employs 5 skips, filters the list by excluding n-gram types that do not reflect a genuine harmonic change between adjacent members, and ranks the remaining types using a statistical association measure.
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