While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In this paper, we propose a shift of focus from change detection to change discovery, i.e., discovering novel word senses over time from the full corpus vocabulary. By heavily fine-tuning a type-based and a token-based approach on recently published German data, we demonstrate that both models can successfully be applied to discover new words undergoing meaning change. Furthermore, we provide an almost fully automated framework for both evaluation and discovery.

While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In this paper, we propose a shift of focus from change detection to change discovery, i.e., discovering novel word senses over time from the full corpus vocabulary. By heavily fine-tuning a type-based and a token-based approach on recently published German data, we demonstrate that both models can successfully be applied to discover new words undergoing meaning change. Furthermore, we provide an almost fully automated framework for both evaluation and discovery.

The majority of new words in dictionaries are included following a certain period of time during which they have become more frequent in use and established morphosyntactic and orthographic features consistent with the language system they are borrowed into. In case of borrowed new words, inclusion often takes place at a transitional state of assimilation to the language system, where delayed orthographic or phonetic change cannot be ruled out and the differentiation between standard-conforming and non-standard orthographic word forms of a lemma oftentimes depends on the proximity between the writing systems of the donor and the recipient language. Following a brief overview of loan words and their lexicographical description in the Neologismenwörterbuch, a specialized online dictionary for neologisms in contemporary German, this paper presents findings of an investigative case study on dictionary entries for a neologism borrowed from a logographic language system and discusses the potential of a corpus-based description of new loan words.

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