
handle: 10810/66459
In this paper, I claim that a parametric view on change in pro-drop does not contradict the fact that not all the Partial Null Subject (PNS) languages display identical properties. I show that the contingent nature of diachronic change is the reason for the slight differences between PNS languages. Modern Russian (MR) and Brazilian Portuguese (BP) are two PNS languages that developed from Consistent Null Subject antecessors (Old Russian and European Portuguese) independently from each other. I account for the change in pro-drop experienced by these two languages, analyzing the properties usually related to the null subject parameter (verbal inflection, clitics, null objects, embedded and arbitrary null subjects), and show that the final parametric setting in both MR and BP was almost identical, with small differences that can be attributed to the different initial conditions for the change.
This research has been supported by the PGC2018-096870-B-100 and PGC2018-098995-B-I00 projects, funded by the Spanish Ministry of Science, Innovation, and Universities, the Spanish Research Agency, and the European Regional Development Fund (FEDER), and the IT1344-19 research group, funded by the Basque Government.
modern russian, brazilian portuguese, partial null subject languages, null objects, european portuguese, old russian, pro-drop, null subjects, clitics, consistent null subject languages
modern russian, brazilian portuguese, partial null subject languages, null objects, european portuguese, old russian, pro-drop, null subjects, clitics, consistent null subject languages
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
