This paper introduces a new corpus of paired football match reports, the Multilingual Emotional Football Corpus, (MEmoFC), which has been manually collected from English, German, and Dutch websites of individual football clubs to investigate the way different emotional states (e.g. happiness for winning and disappointment for losing) are realized in written language. In addition to the reports, it also contains the statistics for the selected matches. MEmoFC is a corpus consisting of comparable subcorpora since the authors of the texts report on the same event from two different perspectives—the winner’s and the loser’s side, and from an arguably more neutral perspective in tied matches. We demonstrate how the corpus can be used to investigate the influence of affect on the reports through different approaches and illustrate how game outcome influences (1) references to the own team and the opponent, and (2) the use of positive and negative emotion terms in the different languages. The MEmoFC corpus, together with the analyzed aspects of emotional language will open up new approaches for targeted automatic generation of texts.

本文介绍了一种新的配对足球比赛报告语料库，即多语种情感足球语料库（MEmoFC），该语料库是从各个足球俱乐部的英语，德语和荷兰语网站上手动收集的，用于调查不同情绪状态（例如，幸福感）的方式。获胜和对失败的失望）以书面形式实现。除报告外，它还包含所选匹配项的统计信息。MEmoFC是一个由可比较的子语料库组成的语料库，因为文本的作者从两个不同的角度（获胜者和输者一方）以及从并发比赛中更为中立的角度报告同一事件。我们演示了如何使用语料库通过不同的方法来调查影响力对报告的影响，并说明游戏结果如何影响（1）对自己的团队和对手的引用，以及（2）使用正面和负面情绪术语用不同的语言。MEmoFC语料库以及情感语言的分析方面将为有针对性的自动生成文本开辟新的方法。