弗拉门克音乐类型的计算语言分析
Computational lexical analysis of Flamenco genres
AI总结：
本文通过自然语言处理和机器学习对2000多首弗拉门克歌词进行分类，揭示了不同音乐类型间的语义场和文化联系，为传统音乐类型起源和发展提供了量化分析。
摘要：
弗拉门克，被联合国教科文组织列为非物质文化遗产，是安达卢西亚文化身份的深刻表达。然而，缺乏量化研究来识别这一长期存在的音乐传统中的特征模式。本文提出了一种计算分析，利用自然语言处理和机器学习将超过2000首歌词分类到相应的弗拉门克音乐类型（称为palos）。使用多项式朴素贝叶斯分类器，我们发现不同风格间的词汇变化能够准确识别不同的palos。更重要的是，通过自动词使用方法，我们获得了每个风格的语义场。进一步地，应用一个量化不同音乐类型间距离的指标，我们进行了网络分析，揭示了弗拉门克音乐风格之间的关系。值得注意的是，我们的结果表明了历史联系和palos的演变。总体而言，我们的工作揭示了弗拉门克歌词中复杂的相互关系和文化意义，补充了以前的定性讨论，通过量化分析引发了关于传统音乐类型起源和发展的新讨论。
英文摘要：
Flamenco, recognized by UNESCO as part of the Intangible Cultural Heritage of Humanity, is a profound expression of cultural identity rooted in Andalusia, Spain. However, there is a lack of quantitative studies that help identify characteristic patterns in this long-lived music tradition. In this work, we present a computational analysis of Flamenco lyrics, employing natural language processing and machine learning to categorize over 2000 lyrics into their respective Flamenco genres, termed as $\textit{palos}$. Using a Multinomial Naive Bayes classifier, we find that lexical variation across styles enables to accurately identify distinct $\textit{palos}$. More importantly, from an automatic method of word usage, we obtain the semantic fields that characterize each style. Further, applying a metric that quantifies the inter-genre distance we perform a network analysis that sheds light on the relationship between Flamenco styles. Remarkably, our results suggest historical connections and $\textit{palo}$ evolutions. Overall, our work illuminates the intricate relationships and cultural significance embedded within Flamenco lyrics, complementing previous qualitative discussions with quantitative analyses and sparking new discussions on the origin and development of traditional music genres.
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。
