A dataset of subject agreement in Hewramî

This dataset contains manual tagging for the paper Subject agreement emerges from topic continuity, not topic shift. Corpus-based evidence from Hewramî, a West Iranian language (accepted, Word Structure), written by Masoud Mohammadirad and Geoffrey Haig. The data set contains tagging for transitive subjects in past transitive constructions (A-past). Therefore, all clauses that are based on past transitive verbs have been marked as 1 (column 8). Clauses containing non-overt A-past arguments have been accordingly checked for "overtness" (column I), and "indexing" (column K). Clauses containing overt A-past arguments have been assessed for the following variables: Dependent variable: Indexing index, no index Predictive variables: Constituent order AV, OAV, AOV, VOA, VA Case marking of A direct, oblique, na (for 1st and 2nd persons), nv (for A NPs ending in ê, or followed by the additive particle =îç) Animacy of the A human, non-human animate, inanimate Clause type main declarative, interr(ogative), comp(lement), adv(erbial), rel(ative), cond(itional), PoS of A noun, indf-pro, wh-pro, pro-1, pro-2, pro-3