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Words that are learned early were shown to be semantically more stable, and vice versa (Cassani et al. 2021, Cognitive Science). Semantic change, however, has multiple aspects. In this diachronic corpus study, we examine the relationship between the age of acquisition (AoA) of words and a set of different measures of semantic change: change in a word's polysemy; overall semantic displacement; and average extent of semantic fluctuation. All measures are based on diachronically layered sense distributions (Hu et al. 2019, ACL) derived from the Corpus of Historical American English. AoA is taken from Kuperman et al. (2012, Behav. Res. Meth.). Taking interactions with frequency into account, we show that semantic displacement and fluctuation are positively associated with AoA as expected. Early acquisition is associated with an increase in polysemy. This hints at the relevance of semantic (metaphorical) extension in the early acquisition of the lexicon.

In recent years, a number of methodological approaches has been developed that allow for identifying patterns in first language acquisition. In most cases, such methods have been used to analyze monolingual acquisition. In a global perspective, however, monolingual acquisition is the exception, and multilingualism is the norm. This raises the question to what extent such pattern-detection methods can be used for multilingual data as well, especially in the case of code-mixing, i.e. the use of more than one language in a single utterance. In this paper, we explore the potential of a data-driven approach to child language data proposed by McCauley & Christiansen (2019a), viz. chunk-based learning, to account for multilingual acquisition data. In particular, we compare the patterns found inthe children’s code-mixed utterances with those in their monolingual utterances to test the hypothesis that both types of utterances are ultimately constructed from the same “building blocks”.

We investigated the ecological validity of performance measures from a computer-based assessment tool that utilises scripted video vignettes. The intended purpose of this tool is to assess the maintenance and repair skills of automotive technician apprentices, complementing traditional hands-on assessment formats from the German journeymen's exams. We hypothesise that the ability to correctly judge repair actions shown in videos is a good predictor of the ability to perform corresponding actions in hands-on scenarios. Apprentices in the third year of vocational training carried out repairs on real cars or car systems, while experts rated their performance. After this, they worked on our computer-based tests, which utilise videos of very similar repairs. The correlation between video judgement and hands-on performance was lower than expected for most repair actions as well as for overall scores, indicating insufficient ecological validity of the test score interpretations. However, the findings are promising for developing future tests, as the results for some repair actions indicate it is generally possible to develop ecologically valid video-based items focusing on hands-on skills. We discuss the results in the light of a validation framework that combines validity evidence from different sources for the same assessment tool. Finally, we hope our findings contribute to a broader discussion about the psychometric quality of exams.

The possible impact of gender-sensitive language on readers is among the most controversially debated issues in linguistics and beyond. Previous studies have suggested that there is an effect of gender-sensitive language on mental representations, based on data gathered in laboratory settings with small groups of participants. We add a new perspective by examining correlations of authentic language use with authentic user interaction on a recruitment website. Drawing upon a large dataset provided by the recruitment platform StepStone, we evaluate whether job advertisements using certain kinds of gender-sensitive language in their titles correlate with higher proportions of views by female users. Our results indicate that there are differing effects depending on the type of gender-sensitive language that is used. Overall, the strongest correlation can be found with terms that include the feminine suffix -in. [ABSTRACT FROM AUTHOR]

Although inhibitors targeting the PD1/PD-L1 immune checkpoint are showing comparably good outcomes, a significant percentage of head and neck squamous cell carcinoma (HNSCC) patients do not respond to treatment. Apart from using different treatment strategies, another possibility would be to target other immune checkpoints operating in these non-responding tumors. To obtain an overview of which checkpoint ligands are expressed on HNSCC tumor cells and if these ligands are affected by HGF/MET signaling, we used mRNA sequencing and antibody-based techniques for identifying checkpoint ligands in six HNSCC tumor cell lines. Furthermore, we compared our results to mRNA sequencing data. From the checkpoint ligands we investigated, VISTA was expressed the highest at the RNA level and was also the most ubiquitously expressed. PD-L2 and B7-H3 were expressed comparably lower and were not present in all cell lines to the same extent. B7-H4, however, was only detectable in the Detroit 562 cell line. Concerning the effect of HGF on the ligand levels, PD-L2 expression was enhanced with HGF stimulation, whereas other checkpoint ligand levels decreased with stimulation. B7-H4 levels in the Detroit 562 cell line drastically decreased with HGF stimulation. This is of interest because both the checkpoint ligand and the growth factor are reported to be connected to epithelial–mesenchymal transition in the literature. [ABSTRACT FROM AUTHOR]