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Calculating syllable count automatically from fixed-meter poetry in English and Welsh

机译:根据英语和威尔士语的定长诗自动计算音节数

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摘要

In this article I develop a set of simple algorithms for deriving syllable count information for words from fixed-meter poetry. The focus is on the determination of what features of language or meter might be most useful. I therefore first review what factors might be useful for this, selecting those that require as little information as possible about the language in question and making as few computational demands as possible. We end up with algorithms based on: (ⅰ) the number of syllables in each line, (ⅱ) the number of words in each line, (ⅲ) the number of letters in those words, and (ⅳ) the frequency of those words. I test these algorithms on corpora from English and Welsh, getting parallel results in both cases. The results establish that the variables I identify do have significant success in deriving syllable count, but that work remains to be done.
机译:在本文中,我开发了一套简单的算法,用于从固定米诗歌中获取单词的音节计数信息。重点在于确定语言或仪表的哪些功能可能最有用。因此,我首先回顾一下哪些因素可能对此有用,选择那些需要有关该语言的信息尽可能少的因素,并尽可能减少计算需求。我们最终得出的算法基于:(ⅰ)每行中的音节数量,(ⅱ)每行中的单词数,(ⅲ)这些单词中的字母数,以及(ⅳ)这些单词的频率。我在英语和威尔士语的语料库上测试了这些算法,在两种情况下都得到了平行的结果。结果表明,我确定的变量在导出音节数方面确实取得了很大的成功,但仍有工作要做。

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  • 来源
    《Literary & linguistic computing》 |2014年第2期|218-233|共16页
  • 作者

    Michael Hammond;

  • 作者单位

    Department of Linguistics, University of Arizona, Tuscon, AZ 85721;

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  • 正文语种 eng
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