Lexical encoding of multiword expressions in XMG

Agata Savary (1) , Simon Petitjean (2) , Timm Lichte (3) , Laura Kallmeyer (2) , Jakub Waszczuk (2)

1 UT - Université de Tours
2 Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf]
3 Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen

Multiword expressions (MWEs) exhibit both regular and idiosyncratic properties. Their idiosyncrasy requires lexical encoding in parallel with their component words. Their (at times intricate) regularity, on the other hand, calls for means of flexible factorization to avoid redundant descriptions of shared properties. However, so far, non-redundant general-purpose lexical encoding of MWEs has not received a satisfactory solution. We offer a proof of concept that this challenge might be effectively addressed within eXtensible MetaGrammar (XMG), an object-oriented metagrammar framework. We first make an existing metagrammatical resource, the FrenchTAG grammar, MWE-aware. We then evaluate the factorization gain during incremental implementation with XMG on a dataset extracted from an MWE-annotated reference corpus.

Mots clés: multiword expressions; metagrammar; XMG

Domaines: Informatique et langage [cs.CL]

Agata Savary, Simon Petitjean, Timm Lichte, Laura Kallmeyer, Jakub Waszczuk. Lexical encoding of multiword expressions in XMG. 2èmes journées scientifiques du Groupement de Recherche Linguistique Informatique Formelle et de Terrain (LIFT), Dec 2020, Montrouge, France. pp.60-63. ⟨hal-03047145⟩