Dimensions of variability in Northern Khoekhoe language and culture

This article takes an interdisciplinary route towards explaining the complex history of Hai//om culture and language. We begin this article with a short review of ideas relating to 'origins' and historical reconstructions as they are currently played out among Khoekhoe groups in Namibia, in particular with regard to the Hai//om. We then take a comparative look at parts of the kinship system and the tonology of ≠Âkhoe Hai//om and other variants of Khoekhoe. With regard to the kinship and naming system, we see patterns that show similarities with Nama and Damara on the one hand but also with 'San' groups on the other hand. With regard to tonology, new data from three northern Khoekoe varieties shows similarities as well as differences with Standard Namibian Khoekhoe and Ju and Tuu varieties. The historical scenarios that might explain these facts suggest different centres of innovations and opposite directions of diffusion. The anthropological and linguistic data demonstrates that only a fine-grained and multi-layered approach that goes far beyond any simplistic dichotomies can do justice to the Hai//om riddle

The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing.

The increasing availability of "real-world" data in the form of written text holds promise for deepening our understanding of societal and health-related challenges. Textual data constitute a rich source of information, allowing the capture of lived experiences through a broad range of different sources of information (eg, content and emotional tone). Interviews are the "gold standard" for gaining qualitative insights into individual experiences and perspectives. However, conducting interviews on a large scale is not always feasible, and standardized quantitative assessment suitable for large-scale application may miss important information. Surveys that include open-text assessments can combine the advantages of both methods and are well suited for the application of natural language processing (NLP) methods. While innovations in NLP have made large-scale text analysis more accessible, the analysis of real-world textual data is still complex and requires several consecutive steps. We developed and subsequently examined the utility and scientific value of an NLP pipeline for extracting real-world experiences from textual data to provide guidance for applied researchers. We applied the NLP pipeline to large-scale textual data collected by the Swiss Multiple Sclerosis (MS) registry. Such textual data constitute an ideal use case for the study of real-world text data. Specifically, we examined 639 text reports on the experienced impact of the first COVID-19 lockdown from the perspectives of persons with MS. The pipeline has been implemented in Python and complemented by analyses of the "Linguistic Inquiry and Word Count" software. It consists of the following 5 interconnected analysis steps: (1) text preprocessing; (2) sentiment analysis; (3) descriptive text analysis; (4) unsupervised learning-topic modeling; and (5) results interpretation and validation. A topic modeling analysis identified the following 4 distinct groups based on the topics participants were mainly concerned with: "contacts/communication;" "social environment;" "work;" and "errands/daily routines." Notably, the sentiment analysis revealed that the "contacts/communication" group was characterized by a pronounced negative emotional tone underlying the text reports. This observed heterogeneity in emotional tonality underlying the reported experiences of the first COVID-19-related lockdown is likely to reflect differences in emotional burden, individual circumstances, and ways of coping with the pandemic, which is in line with previous research on this matter. This study illustrates the timely and efficient applicability of an NLP pipeline and thereby serves as a precedent for applied researchers. Our study thereby contributes to both the dissemination of NLP techniques in applied health sciences and the identification of previously unknown experiences and burdens of persons with MS during the pandemic, which may be relevant for future treatment

The development of human social learning across seven societies

D.B.M.H., E.C., M.S., S.S. and E.J.C.v.L. were supported by the Max Planck Society for the Advancement of Science. E.J.C.v.L. was furthermore supported in part by the ERC (grant agreement no. 609819, project SOMICS) and the Research Foundation Flanders (FWO).Social information use is a pivotal characteristic of the human species. Avoiding the cost of individual exploration, social learning confers substantial fitness benefits under a wide variety of environmental conditions, especially when the process is governed by biases toward relative superiority (e.g., experts, the majority). Here, we examine the development of social information use in children aged 4–14 years (n = 605) across seven societies in a standardised social learning task. We measured two key aspects of social information use: general reliance on social information and majority preference. We show that the extent to which children rely on social information depends on children’s cultural background. The extent of children’s majority preference also varies cross-culturally, but in contrast to social information use, the ontogeny of majority preference follows a U-shaped trajectory across all societies. Our results demonstrate both cultural continuity and diversity in the realm of human social learning.Publisher PDFPeer reviewe

Beneficiary and other roles of the dative in Tashelhiyt

This paper explores the semantics of the dative in Tashelhiyt, a Berber language from Morocco. After a brief morphosyntactic overview of the dative in this language, I identify a wide range of its semantic roles, including possessor, experiencer, distributive and unintending causer. I arrange these roles in a semantic map and propose semantic links between the roles such as metaphorisation and generalisation. In the light of the Tashelhiyt data, the paper also proposes additions to previous semantic maps of the dative (Haspelmath 1999, 2003) and to Kittilä’s 2005 typology of beneficiary coding

Semantics of Khoekhoe reciprocal constructions

This paper identifies four reciprocal construction types in Khoekhoe (Central Khoisan). After a brief description of the morphosyntax of each construction, semantic factors governing their choice are explored. Besides lexical semantics, the number of participants, timing of symmetric subevents, and symmetric conceptualisation are shown to account for the distribution of the four partially competing reciprocal constructions

The encoding of placement and removal events in ǂAkhoe Haiǁom

This paper explores the semantics of placement and removal verbs in Ākhoe Hai om based on event descriptions elicited with a set of video stimuli. After a brief sketch of the morphosyntax of placement/removal constructions in Ākhoe Haiom, four situation types are identified semantically that cover both placement and removal events. The language exhibits a clear tendency to make more fine-grained semantic distinctions in placement verbs, as opposed to semantically more general removal verbs