Rules vs. Analogy in Mandarin Classifier Selection

A long-running debate concerns whether human language is processed solely by analogy to memorized exemplars, as connectionists have claimed, or instead may be processed by symbol-manipulating rules (e.g. Pinker 1999). In this paper we bring this debate to the Mandarin noun classifier system, arguing that the so-called general classifier 個 ge is selected by a default rule. Reviewing evidence from a variety of sources, including new corpus analyses, we first argue that the selection of most classifiers is lexically mediated, and then show that ge has no lexical semantics. Finally, we show that ge is used in a variety of situations that have nothing in common except for the inability to form analogies with examples in memory: when nouns are too dissimilar from lexical exemplars, are derived from other syntactic categories, or cooccur with classifiers too infrequently, and when speakers have memory access problems.