The New Testament presents twenty-two verbs that grammaticalize the resultant state of an entity undergoing change. This article introduces the method of analysis and description and resolves these verbs into five groups according to the manner in which they grammaticalize resultant state. The introductory discussion develops the method of semantic, syntactic, and lexical analysis and description. The discussion then describes the licensing properties of the verbs in each group, specifies the lexical realization of all observed required complements of the verbs, clarifies the verbs’ interpretation, and illustrates their translation.

Corpus linguistic research often necessitates large amounts of data (especially for Natural Language Processing tasks), yet this is exactly where ancient language corpora are most deficient. Many ancient language corpora increase their size by extending the temporal coverage of the corpus, allowing for diachronic analysis over an enlarged dataset. Because of this, less attention has been given to the compilation of synchronic corpora for ancient languages. Since temporal demarcation must be strictly controlled, other means of increasing corpus size must be explored. This paper considers a number of important theoretical considerations for the construction of a corpus for Koine Greek, including representativeness, size, and temporal coverage. While this study does present a corpus for Koine Greek, its primary aim is to foreground the particular theoretical challenges that face linguists engaged in synchronic corpus design for ancient languages.

This article examines passages where the typically corrective ἀλλά and the typically explanatory γάρ are claimed by BDAG to have an inferential sense. By demonstrating that the inferential senses are unnecessary and that here specialized manners of correction and explanation persist, it serves to support an approach to conjunction lexicography which recognizes the fundamental unity of conjunction semantics, known as the “core constraint” approach.