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Diurnal variation in psychometric indicators of emotion found in Twitter content has been known for many years. The degree to which this pattern depends upon different environmental zeitgebers has been difficult to determine. The nationwide lockdown in the United Kingdom in spring 2020 provided a unique government-mandated experiment to observe the temporal variation of psychometric indicators in the absence of certain specific social rhythms related to commuting and workplace social activities as well as many normal home-based social activities. We therefore analyzed the aggregated Twitter content of 54 UK cities in the 9 weeks of complete lockdown, comparing them with the 10 weeks that preceded them (as well as with the corresponding weeks of 2019). We observed that the key indicators of emotion retained their diurnal behavior. This suggests that even during lockdown there are still sufficient zeitgebers to maintain this diurnal variation in indicators of emotion. [ABSTRACT FROM AUTHOR]

We have digitised a corpus of Italian newspapers published in 1873-1914 in Gorizia, the county town of an area in the North Adriatic at the crossroad of the Latin, Slavic and Germanic civilizations, then part of the Habsburg Empire and now divided between Italy and Slovenia. This new corpus (of 47,466 pages) is analysed along with a comparable set of local Slovenian newspapers, already digitised by the Slovenian National Library. This large and multilingual effort in digital humanities reveals the statistical traces of events and ideas that shaped a remarkable place and period. The emerging picture is one of rapid cultural, social and technological transformation, and of rising national awareness, combining the larger European pattern with uniquely local aspects. [ABSTRACT FROM AUTHOR]

We apply to the task of linguistic phylogenetic inference a successful cognate identification learning model based on point accepted mutation (PAM)-like matrices. We train our system and we employ the learned parameters for measuring the lexical distance between languages. We estimate phylogenetic trees using distance-based methods on an Indo-European database. Our results reproduce correctly all the established major language groups and subgroups present in the dataset, are compatible with the Indo-European benchmark tree and include also some of the supported higher-level structures. We review and compare other studies reported in the literature with regard to recognized aspects of the Indo-European language family. [ABSTRACT FROM AUTHOR]