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Exploring and Visualizing Variation in Language Resources
Language resources are often compiled for the purpose of variational analysis, such as studying differences between genres, registers, and disciplines, regional and diachronic variation, influence of gender, cultural context, etc.
Data Mining with Shallow vs. Linguistic Features to Study Diversification of Scientific Registers
We present a methodology to analyze the linguistic evolution of scientific registers with data mining techniques, comparing the insights gained from shallow vs. linguistic features.
Evaluating a Dependency Parser on DeReKo
We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German.
Data-driven Identification of Idioms in Song Lyrics
The automatic recognition of idioms poses a challenging problem for NLP applications.
Count-Based and Predictive Language Models for Exploring DeReKo
We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo.
