The beginnings of modern poetry - Modeling literary history with text similarities

现代诗歌的开端 - 用文本相似性建模文学史

• 批准号: 424212127
• 负责人: Professor Dr. Fotis Jannidis
• 金额: --
• 依托单位: Seminar für Deutsche Philologie
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/424212127?language=en
• 关键词: beginnings; modern; poetry; Modeling; literary

The transition of realism, the dominant art form of the 19th Century, to early modernism at the turn to the 20th Century has been seen by contemporaries then and literary history since then as a profound change affecting many formal and content-related aspects. This is also true for poetry. But while today only a small group of poets and poems is seen as ‘modern’, the contemporaries applied this attribute to much more texts as can be seen, for example, by looking at all the anthologies with modern poetry published around 1900. One of the main goals is to understand this discrepancy: Does literary history ignore the modern trends in those other poems or did the contemporaries perceive change and innovation where there was none? In order to answer this question we will look at the similarity of texts, assuming that more modern texts will be more similar with each other than with more traditional texts. Similarity is always related to a specific perspective. The dimensions under which contemporaries then and literary historians today see the main differences between the poetry of realism and early modernism are mostly the same: new themes, new forms and a new way of addressing and expressing emotions in poems. We will cover all these aspects but with different degrees of effort to innovate the methods used. The development of new methods will concentrate on semantic text similarity and sentiment or more exact emotion analysis. Measuring the text similarity of short texts like poems is quite challenging, but since the introduction of word2vec and other forms of word embeddings the situation has improved dramatically. Applying these approaches to historical texts and especially to a genre like poetry is another challenge: The vocabulary of poetry is markedly different even compared to that of other literary genres. It is characterized by the usage of old-fashioned words and neologisms, many of which are compound words. Determining which approach to word embeddings is preferable for our use cases and how they can be used to represent short texts focusing on dimensions like general semantics is one focus. The other is the development of an historical sentiment lexicon including emotions without anachronism.

从世纪占主导地位的现实主义到世纪之交的早期现代主义的转变，在当时的文学史和此后的文学史上都被视为一场深刻的变革，影响了许多与形式和内容有关的方面。诗歌也是如此。但是，虽然今天只有一小部分诗人和诗歌被视为“现代”，但同时代人将这一属性应用于更多的文本，例如，通过查看1900年左右出版的所有现代诗歌选集。其中一个主要目标是理解这种差异：文学史是否忽视了其他诗歌中的现代趋势，或者同时代人是否在没有变化和创新的地方感知到了变化和创新？为了回答这个问题，我们将研究文本的相似性，假设现代文本之间的相似性比传统文本之间的相似性更高。相似性总是与特定的视角相关。当时的同时代人和今天的文学史学家认为，现实主义诗歌和早期现代主义诗歌之间的主要差异基本上是相同的：新的主题，新的形式以及诗歌中处理和表达情感的新方式。我们将涵盖所有这些方面，但在不同程度上努力创新所使用的方法。新方法的发展将集中在语义文本相似性和情感或更精确的情感分析。测量像诗歌这样的短文本的文本相似性是相当具有挑战性的，但是自从引入word2vec和其他形式的词嵌入以来，情况已经有了显着的改善。将这些方法应用于历史文本，特别是诗歌这样的体裁，是另一个挑战：即使与其他文学体裁相比，诗歌的词汇也有明显的不同。它的特点是使用旧词和新词，其中许多是复合词。确定哪种词嵌入方法更适合我们的用例，以及如何使用它们来表示关注一般语义等维度的短文本是一个焦点。二是发展了一个历史情感词汇，其中包括情感，而没有时代错误。