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arXiv 1003.1455cs.CL
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一种基于经验分析的梵语诗歌创作算法

A Computational Algorithm based on Empirical Analysis, that Composes Sanskrit Poetry

Presidency College(总统学院);Meenakshi College for Women(米纳克希女子学院);Mother Teresa Women’s University(特蕾莎修女女子大学)

Rama N., Meenakshi Lakshmanan

摘要:

即使是那些精通梵语的人,用梵语写诗也充满了问题。之所以如此,是因为支配梵语韵律的规则众多而严格。我们提出了一种计算算法,将散文作为电子文本转换成诗歌,按照梵语韵律的韵律规则,同时注意确保连读变调或委婉的连接,这是强制性的诗句,处理。通过一种新的目标搜索数据库缩减方法,大大提高了算法的速度。该算法还向诗人提供建议,以防他/她作为输入散文给出的内容不可能适合任何允许的格律格式。还有一个算法的交互组件,通过该组件,算法与诗人交互以解决歧义。此外,这项独特的工作,它提供了一个解决方案,以前从来没有解决的问题,提供了一个简单而有效的语音识别接口,将帮助视障人士口述的话,在电子文本,这是反过来由我们的诗歌作曲引擎。

英文摘要:

Poetry-writing in Sanskrit is riddled with problems for even those who know the language well. This is so because the rules that govern Sanskrit prosody are numerous and stringent. We propose a computational algorithm that converts prose given as E-text into poetry in accordance with the metrical rules of Sanskrit prosody, simultaneously taking care to ensure that sandhi or euphonic conjunction, which is compulsory in verse, is handled. The algorithm is considerably speeded up by a novel method of reducing the target search database. The algorithm further gives suggestions to the poet in case what he/she has given as the input prose is impossible to fit into any allowed metrical format. There is also an interactive component of the algorithm by which the algorithm interacts with the poet to resolve ambiguities. In addition, this unique work, which provides a solution to a problem that has never been addressed before, provides a simple yet effective speech recognition interface that would help the visually impaired dictate words in E-text, which is in turn versified by our Poetry Composer Engine.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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