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  • 标题:ZeuScansion: A tool for scansion of English poetry
  • 本地全文:下载
  • 作者:Manex Agirrezabal ; Aitzol Astigarraga ; Bertol Arrieta
  • 期刊名称:Journal of Language Modelling
  • 印刷版ISSN:2299-856X
  • 电子版ISSN:2299-8470
  • 出版年度:2016
  • 卷号:4
  • 期号:1
  • 页码:3-28
  • DOI:10.15398/jlm.v4i1.102
  • 语种:English
  • 出版社:Polish Academy of Sciences
  • 摘要:We present a finite-state technology (FST) based system capable of performing metrical scansion of verse written in English.Scansion is the traditional task of analyzing the lines of a poem,marking the stressed and non-stressed elements and dividing the line into metrical feet.The system’s workflow is composed of several subtasks designed around finite-state machines that analyze verse by performing tokenization,part-of-speech tagging,stress placement,and stress-pattern prediction for unknown words.The scanner also classifies poems ac_cording to the predominant type of metrical foot found.We present a brief evaluation of the system using a gold standard corpus of human?scanned verse,on which a per-syllable accuracy of 86.78% is achieved.The program uses open-source components and is released under the GNU GPL license.
  • 关键词:scansion;English;poetry;out-of-vocabulary words
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