Reusable Lexical Representations for Idioms
Jan Odijk · 2004
In this paper I introduce (1) a technically simple and highly theory-independent way for lexically representing flexible idiomatic expressions, and (2) a procedure to incorporate these lexical representations in a wide variety of NLP systems.The method is based on Structural EQuivalence Classes for Idioms and therefore called the SEQCI method.I illustrate the approach using the Rosetta MT system as an example of an NLP system.I discuss the advantages and some possible objections to the method.I conclude that the method is a good candidate for a standard for the lexical representation of idioms.The method also has the potential to be used for multi-word expressions other than idioms.