Source-Path-Goal: Investigating the Cross-Linguistic Potential of Frame-Semantic Text Analysis


The ability to analyse natural language semantically has been a long-standing goal in information technology. In the last few decades, the increased availability of annotated text collections and new statistical methods have led to great advances in this area. Frame-semantic annotation, as exemplified by the FrameNet project, describes the meaning of a sentence in terms of the involved cognitive scenarios and the roles of individual participants (e. g. the buyer and the seller in a commerce scenario, but also abstract entities like source, path, and goal in a travel scenario). This contribution studies the cross-linguistic potential of FrameNet from multiple perspectives. It investigates a statistical method to determine frame-semantic relatedness of individual words across languages. It also shows how commonalities and differences between languages in expressing states of affairs can be analysed and extracted from annotated parallel corpora.

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it - Information Technology is a strictly peer-reviewed scientific journal. It is the oldest German journal in the field of information technology. Today, the major aim of it - Information Technology is highlighting issues on ongoing newsworthy areas in information technology and informatics and their application. It aims at presenting the topics with a holistic view.