This book demonstrates how the underlying principles of the English-based FrameNet project are successfully applied to the description and analysis of typologically diverse languages.

The stimulating collection of articles brings together insights from lexical semantics, corpus linguistics, computational lexicography, machine learning, and psychology to address three main questions:

The contents exemplifies the liveliness of current research on cross-lingual applications of Frame Semantics to natural language processing.