Unsupervised Discovery of Rhyme Schemes
نویسندگان
چکیده
This paper describes an unsupervised, language-independent model for finding rhyme schemes in poetry, using no prior knowledge about rhyme or pronunciation.
منابع مشابه
Unsupervised Rhyme Scheme Identification in Hip Hop Lyrics Using Hidden Markov Models
We attack a woefully under-explored language genre—lyrics in music—introducing a novel hidden Markov model based method for completely unsupervised identifica-tion of rhyme schemes in hip hop lyrics, which to the best of our knowledge, is the first such effort. Unlike previous approaches that use supervised or semi-supervised approaches for the task of rhyme scheme identification, our model doe...
متن کاملModeling Hip Hop Challenge-Response Lyrics as Machine Translation
We cast the problem of hip hop lyric generation as a translation problem, automatically learn a machine translation system that accepts hip hop lyric challenges and improvises rhyming responses, and show that improving the training data by learning an unsupervised rhyme detection scheme further improves performance. Our approach using unsupervised induction of stochastic transduction grammars i...
متن کاملA two-step blocking scheme learner for scalable link discovery
A two-step procedure for learning a link-discovery blocking scheme is presented. Link discovery is the problem of linking entities between two or more datasets. Identifying owl:sameAs links is an important, special case. A blocking scheme is a one-to-many mapping from entities to blocks. Blocking methods avoid O(n) comparisons by clustering entities into blocks, and limiting the evaluation of l...
متن کاملAutomatic Analysis of Rhythmic Poetry with Applications to Generation and Translation
We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. We then use these word-stress patterns, in addition to rhyme and discourse models, to generate English love poetry. Finally, we translate Italian poetry into English, choosing target realizations that conform to desired...
متن کاملOnline unsupervised pattern discovery in speech using parallelization
Segmental dynamic time warping (DTW) has been demonstrated to be a useful technique for finding acoustic similarity scores between segments of two speech utterances. Due to its high computational requirements, it had to be computed in an offline manner, limiting the applications of the technique. In this paper, we present results of parallelization of this task by distributing the workload in e...
متن کامل