This study examines the cognitive information processes that Turkish advanced non-native speakers of English employ in assigning the referents of this and that in reading and production. We predicted that these speakers would assign referents in relation to the linear distance between discourse-linked anaphors and their referents in the discourse (i.e., based on spatial-temporal features of this and that), which means they would prefer this for a referent mentioned in the proximal chunk of text and that for a referent mentioned in the distal chunk. We also predicted that readers would not assign referents based on the focusing features of this and that. We tested our predictions in two eye- tracking reading experiments and one sentence-completion experiment. Turkish L2 learners’ on- line reference resolution in reading experiments was different from that of English native speakers that were tested in a previous study. In the eye-tracking experiments, Turkish L2 learners did not show evidence of using a recency strategy to resolve referential ambiguity and did not use spatial- temporal or focusing features of this and that to assign referents. On the other hand, in the sentence- completion experiment, the effect of prominence of discourse structure in the use of this and that was qualitatively similar to that of English native speakers, but their indexing of the degree of focus of this and that was different. Our results suggest that the difference between Turkish L2 learners and English native speakers is due to L1 interference.

We describe an eye-tracking experiment that tested the effect of syntactic predictability on skipping rates during reading. We found that plural noun phrases were skipped more often than singular noun phrases, in syntactic contexts which induced a high expectation for a plural. We interpret this effect as evidence that the plural noun phrase has been predicted ahead of time. The results indicate that the examination of skipping rates might be a useful tool for the investigation of syntactic prediction effects.

We present a system for the investigation of computational properties of categorial grammar parsing based on a labelled analytic tableaux theorem prover. This proof method allows us to take a modular approach, in which the basic grammar can be kept constant, while a range of categorial calculi can be captured by assigning different properties to the labelling algebra. The theorem proving strategy is particularly well suited to the treatment of categorial grammar, because it allows us to distribute the computational cost between the algorithm which deals with the grammatical types and the algebraic checker which constrains the derivation.