Fluid Construction Grammar for Historical and Evolutionary Linguistics Pieter Wellens1, Remi van Trijp2, Katrien Beuls1, Luc Steels2,3 1VUB AI Lab 2Sony Computer Science 3 ICREA Institute for Pleinlaan 2 Laboratory Paris Evolutionary Biology (UPF-CSIC) 1050 Brussels (Belgium) 6 Rue Amyot PRBB, Dr Aiguidar 88 pieter|katrien@ 75005 Paris (France) 08003 Barcelona (Spain) ai.vub.ac.be
[email protected] [email protected] Abstract as HPSG (Pollard and Sag, 1994). A genera- tive grammar is a model of language competence Fluid Construction Grammar (FCG) is an that licenses well-formed structures and rejects ill- open-source computational grammar for- formed utterances. Such grammars often decide malism that is becoming increasingly pop- on the well- or ill-formedness of utterances by us- ular for studying the history and evolution ing a strong type system that defines a set of fea- of language. This demonstration shows tures and possible values for those features. The how FCG can be used to operationalise the burden of efficient and robust language process- cultural processes and cognitive mecha- ing with a generative grammar largely rests on the nisms that underly language evolution and shoulders of the language processor. change. A cognitive-functional grammar, on the other hand, functions more like a transducer between 1 Introduction meaning and form. In parsing, such a grammar tries to uncover as much meaning as possible from Historical linguistics has been radically trans- a given utterance rather than deciding on its gram- formed over the past two decades by the ad- maticality. In the other direction, the grammar vent of corpus-based approaches.