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We introduce DeReKoGram, a novel frequency dataset containing lemma and part-of-speech (POS) information for 1-, 2-, and 3-grams from the German Reference Corpus. The dataset contains information based on a corpus of 43.2 billion tokens and is divided into 16 parts based on 16 corpus folds. We describe how the dataset was created and structured. By evaluating the distribution over the 16 folds, we show that it is possible to work with a subset of the folds in many use cases (e.g., to save computational resources). In a case study, we investigate the growth of vocabulary (as well as the number of hapax legomena) as an increasing number of folds are included in the analysis. We cross-combine this with the various cleaning stages of the dataset. We also give some guidance in the form of Python, R, and Stata markdown scripts on how to work with the resource.
As immigration and mobility increases, so do interactions between people from different linguistic backgrounds. Yet while linguistic diversity offers many benefits, it also comes with a number of challenges. In seven empirical articles and one commentary, this Special Issue addresses some of the most significant language challenges facing researchers in the 21st century: the power language has to form and perpetuate stereotypes, the contribution language makes to intersectional identities, and the role of language in shaping intergroup relations. By presenting work that aims to shed light on some of these issues, the goal of this Special Issue is to (a) highlight language as integral to social processes and (b) inspire researchers to address the challenges we face. To keep pace with the world’s constantly evolving linguistic landscape, it is essential that we make progress toward harnessing language’s power in ways that benefit 21st century globalized societies.