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Neural Networks Approach to Splitting German Compounds

Student: Krotova Irina

Supervisor: Ekaterina Artemova

Faculty: Faculty of Humanities

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2019

This work evaluates neural sequence models for the task of splitting German compound words. The model is compared to a state-of-the-art approach based on character ngrams and outperforms it.

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