English Trends: a daily-updated monitor corpus of news articles
The English Trends corpus is an English monitor corpus made up of news articles, Wikipedia or other sources that are regularly updated from their RSS feeds (newsfeeds). The English trends corpus is updated daily with new texts and grows by about 2–4 million words each day. These regular updates enable you to use the diachronic analysis tool and study word usage changes.
The English Trends corpus is tagged by TreeTagger using Penn Treebank tagset with Sketch Engine modifications.
Tools to work with the English Trends corpus
A complete set of tools is available to work with this English Trends corpus from news to generate:
- word sketch – English 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 English 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
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).
Search the English Trends corpus
Sketch Engine offers a range of tools to work with this English Trends corpus from news articles.
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Generate collocations, frequency lists, examples in contexts, n-grams or extract terms. Use our Quick Start Guide to learn it in minutes.