Danish Trends: a daily-updated monitor corpus of news articles
The Danish Trends corpus is a Danish monitor corpus made up of news articles or other sources that are regularly updated from their RSS feeds (newsfeeds). The Danish trends corpus is updated daily with new texts and grows by about 100-200,000 words each day. These regular updates enable you to use the diachronic analysis tool and study word usage changes.
Part-of-speech tagset
The Danish Trends corpus is tagged by TreeTagger with a Danish model respecting ePos tagset trained using the ePAROLE corpus.
Tools to work with the Danish Trends corpus
A complete set of tools is available to work with this Danish Trends corpus from news to generate:
- word sketch – Danish collocations categorized by grammatical relations
- thesaurus – synonyms and similar words for every word
- keywords – terminology extraction of one-word and multi-word units
- word lists – lists of Danish nouns, verbs, adjectives, etc. organized by frequency
- n-grams – frequency list of multi-word units
- concordance – examples in context
- trends – diachronic analysis automatically identifies neologisms and changes in use
- text type analysis – statistics of metadata in the corpus
Bibliography
TenTen corpora
Jakubíček, M., Kilgarriff, A., Kovář, V., Rychlý, P., & Suchomel, V. (2013, July). The TenTen corpus family. In 7th International Corpus Linguistics Conference CL (pp. 125-127).
Suchomel, V., & Pomikálek, J. (2012). Efficient web crawling for large text corpora. In Proceedings of the seventh Web as Corpus Workshop (WAC7) (pp. 39-43).
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Sketch Engine offers a range of tools to work with this Danish Trends corpus from news articles.
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