论文标题
自动扫描西班牙诗歌而没有教学列表
Automatic Scansion of Spanish Poetry without Syllabification
论文作者
论文摘要
近年来，已经出现了几种对西班牙诗歌的自动指标分析系统。这些系统依赖于复杂的音节化方法和压力分配的方法，这些方法使用POS-TAGGING库，其计算成本很高。这一成本随着度量歧义的计算而增加。此外，他们不考虑确定音节计数中的问题，例如超过11个音节的经文之间的补偿现象。但是，在不使用这些昂贵的方法的情况下，可以进行内容丰富且准确的度量分析。我们提出了一种执行准确的扫描（音节数量，应力模式和经文类型）的算法，而无需音节缩放。它解决了公制的歧义，并考虑了Hemistichs赔偿。我们的算法在固定米诗中优于当前的艺术状态，而在混合金属诗歌中则胜过25％。它的运行速度也分别更快。最后，为西班牙诗歌研究人员提供了桌面应用程序。
In recent years, several systems of automated metric analysis of Spanish poetry have emerged. These systems rely on complex methods of syllabification and stress assignment, which use PoS-tagging libraries, whose computational cost is high. This cost increases with the calculation of metric ambiguities. Furthermore, they do not consider determining issues in syllabic count such as the phenomena of compensation between hemistichs of verses of more than eleven syllables. However, it is possible to carry out an informative and accurate metric analysis without using these costly methods. We propose an algorithm that performs accurate scansion (number of syllables, stress pattern and type of verse) without syllabification. It addresses metric ambiguities and takes into account the hemistichs compensation. Our algorithm outperforms the current state of the art by 2% in fixed-metre poetry, and 25% in mixed-metre poetry. It also runs 21 and 25 times faster, respectively. Finally, a desktop application is offered as a tool for researchers of Spanish poetry.
