Grammatical Gender Disambiguates Syntactically Similar Nouns.

Recent research into grammatical gender from the perspective of information theory has shown how seemingly arbitrary gender systems can ease processing demands by guiding lexical prediction. When the gender of a noun is revealed in a preceding element, the list of possible candidates is reduced to the nouns assigned to that gender. This strategy can be particularly effective if it eliminates words that are likely to compete for activation against the intended word. We propose syntax as the crucial context within which words must be disambiguated, hypothesizing that syntactically similar words should be less likely to share a gender cross-linguistically. We draw on recent work on syntactic information in the lexicon to define the syntactic distribution of a word as a probability vector of its participation in various dependency relations, and we extract such relations for 32 languages from the Universal Dependencies Treebanks. Correlational and mixed-effects regression analyses reveal that syntactically similar nouns are less likely to share a gender, the opposite pattern that is found for semantically and orthographically similar words. We interpret this finding as a design feature of language, and this study adds to a growing body of research attesting to the ways in which functional pressures on learning, memory, production, and perception shape the lexicon in different ways.

Considering experimental and observational evidence of priming together, syntax doesn't look so autonomous.

We agree with Branigan & Pickering (B&P) that structural priming experiments should supplant grammaticality judgments for testing linguistic representation. However, B&P overlook a vast (corpus-)linguistic literature that converges with - but extends - the experimental findings. B&P conclude that syntax is functionally independent of the lexicon. We argue that a broader approach to priming reveals cracks in the façade of syntactic autonomy.

How to measure development in corpora? An association strength approach.

In this paper we propose a method for characterizing development in large longitudinal corpora. The method has the following three features: (i) it suggests how to represent development without assuming predefined stages; (ii) it includes caregiver speech/child-directed speech; (iii) it uses statistical association measures for investigating co-occurrence data. We exemplify the implementation of these proposals with data on the acquisition of the patterning of tense and grammatical aspect of four Russian children. The method, however, is suitable for a wide range of other acquisition questions as well.

Syntactic priming: a corpus-based approach.

The present study is a corpus-based investigation of syntactic priming, i.e. the tendency to reuse syntactic constructions. On the basis of data from the ICE-GB corpus, I analyze two different pairs of syntactic patterns, the so-called dative alternation and particle placement of transitive phrasal verbs. Although it has sometimes been argued that only experimental data can contribute to studies of priming, the analysis shows that (a) the corpus-based results for datives are very similar to the experimental ones; (b) priming is also obtained for the verb-particle construction, a construction hitherto not explored in the priming literature and (c), most importantly, in line with much previous psycholinguistic and corpus-linguistic work, priming effects turn out to be strongly verb-specific such that some verbs are much more resistant or responsive to priming than others. I conclude with a discussion of how corpus data relate to experimental data and how the corpus-based findings can contribute to psycholinguistic model building.