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11

EMNLP
2010

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Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation

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Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation

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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 rhythmic patterns.

Erica Greene, Tugba Bodrumlu, Kevin Knight

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EMNLP 2010 | English Love Poetry | Natural Language Processing | Poetry | Word-stress Patterns |

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Added	11 Feb 2011
Updated	11 Feb 2011
Type	Journal
Year	2010
Where	EMNLP
Authors	Erica Greene, Tugba Bodrumlu, Kevin Knight

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