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VOLARE - Visual Ontological LAnguage REpresentation

In this paper, we introduce a novel meaning representation, which is based on AMR but extends it towards a visual ontological representation. We visualize concepts by representative images, and roles by emojis. All concepts are identified either by PropBank rolesets, Wikipedia page titles, WordNet synsets, or Wikidata lexeme senses. We have developed a Web-based annotation environment enabled by augmented browsing and interactive diagramming. As first application, we have implemented a multilingual annotation solution by using English as anchor language and comparing it with French and Japanese language versions. Therefore, we have extended our representation by a translation deviation annotation to document the differences between the language versions. The intended user groups are, besides professional translators and interpreters, students of translation, language, and literary studies. We describe a first use case in which we use novels by French authors and compare them with their English and Japanese translations. The main motivation for choosing Japanese is the soaring popularity of Japanese courses at our university and the particular challenges involved with trying to master this language.