MEmoFC: introducing the Multilingual Emotional Football Corpus.
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 win...
| Publicado en: | Language Resources & Evaluation Vol. 55; no. 2; pp. 389 - 431 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=150471572&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 150471572 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2021 vid: 55 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 150471572 10.1007/s10579-020-09508-2 ppf: 389 ppct: 42 formats: fmt: @attributes: type: P size: 736KB tig: atl: MEmoFC: introducing the Multilingual Emotional Football Corpus. aug: au: Braun, Nadine van der Lee, Chris Gatti, Lorenzo Goudbeek, Martijn Krahmer, Emiel affil: Tilburg Center for Cognition and Communication (TiCC), Tilburg University, 5037 AB, Tilburg, The Netherlands Human Media Interaction Lab, University of Twente, Zilverling 2082, 7500 AE, Enschede, The Netherlands su: Happiness Emotions Corpora Emotional state Soccer teams Soccer sug: subj: Happiness Emotions Corpora Emotional state Soccer teams Soccer keyword: Affect Comparable corpora Emotion Multilingual corpus Natural language generation Reportage Sports ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2021. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
|---|