Traditionally, grammar-based methods have been used for CSL, but more recently machine learning approaches to semantic structure computation have been shown to yield higher accuracy.
most previous work did not exploit syntactic/semantic structures of the utterances, and the state-of-the-art is represented by conditional models for sequence labeling, such as Conditional Random Fields (Lafferty et al., 2001) trained with simple morphological and lexical features.