Lessons Learned from a Prototype Implementation of Montagovian Lexical Semantics
Résumé
We present a general-purpose implementation of the process of lexical semantics analysis theorised in the Montagovian Generative Lexicon Λ TY n (hereafter MGL). The prototype software itself serves as a proof of concept of the MGL theory. The implementation process, the data structures and algorithms, also provide valuable results as to the expressive power required by MGL. While the implementation of terms and types for the purpose of meaning assembly assumed by MGL is in itself straightforward, some lexical phenomena imply additional mechanisms in order to process the logical representation using implicit knowledge. We therefore also present a minimal architecture for knowledge representation , and how it can be applied to different phenomena.
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