Connecting Content and Logical Words

Author:

Chemla Emmanuel1,Buccola Brian1,Dautriche Isabelle2

Affiliation:

1. Laboratoire de Sciences Cognitives et Psycholinguistique, Département d’Études Cognitives, ENS, EHESS, CNRS, PSL University, Paris, France

2. Centre for Language Evolution, University of Edinburgh, Edinburgh, UK

Abstract

Abstract Content words (e.g. nouns and adjectives) are generally connected: there are no gaps in their denotations; no noun means ‘table or shoe’ or ‘animal or house’. We explore a formulation of connectedness which is applicable to content and logical words alike, and which compares well with the classic notion of monotonicity for quantifiers. On a first inspection, logical words satisfy this generalized version of the connectedness property at least as well as content words do — that is, both in terms of what may be observed in the lexicons of natural languages (although our investigations remain modest in that respect) and in terms of acquisition biases (with an artificial rule learning experiment). This reduces the putative differences between content and logical words, as well as the associated challenges that these differences would pose, e.g., for learners.

Funder

European Research Council

European Union Seventh Framework Programme

Economic and Social Research Council

Agence Nationale de la Recherche

Publisher

Oxford University Press (OUP)

Subject

Artificial Intelligence,Linguistics and Language,Arts and Humanities (miscellaneous)

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