The Impact of Information Structure on the Emergence of Differential Object Marking: An Experimental Study

Autor: Jennifer Culbertson, Tal S, Grossman E, Inbal Arnon, Kenny Smith
Rok vydání: 2022
Předmět:
Zdroj: Tal, S, Smith, K, Culbertson, J, Grossman, E & Arnon, I 2022, ' The impact of information structure on the emergence of differential object marking : An experimental study ', Cognitive Science, vol. 46, no. 3, e13119 . https://doi.org/10.1111/cogs.13119
ISSN: 1551-6709
DOI: 10.1111/cogs.13119
Popis: Many languages exhibit differential object marking (DOM), where only certain types of grammatical objects are marked with morphological case. Traditionally, it has been claimed that DOM arises as a way to prevent ambiguity by marking objects that might otherwise be mistaken for subjects (e.g., animate objects). While some recent experimental work supports this account (Fedzechkina et al., 2012), research on language typology suggests at least one alternative hypothesis. In particular, DOM may instead arise as a way of marking objects that are atypical from the point of view of information structure. According to this account, rather than being marked to avoid ambiguity, objects are marked when they are given (already familiar in the discourse) rather than new. Here, we experimentally investigate this hypothesis using two artificial language learning experiments. We find that information structure impacts participants’ object-marking, but in an indirect way: atypical information structure leads to a change of word order, which then triggers increased object marking. Interestingly, this staged process of change is compatible with documented cases of DOM emergence (Iemmolo, 2013). We argue that this process is driven by two cognitive tendencies. First, a tendency to place discourse given information before new information, and second, a tendency to mark non-canonical word order. Taken together, our findings provide corroborating evidence for the role of information structure in the emergence of DOM systems.
Databáze: OpenAIRE