SkELL

SkELL (abbreviation of "Sketch Engine for Language Learning") is a free corpus-based web tool that allows language learners and teachers find authentic sentences for specific target word(s). For any word or a phrase, SkELL displays a concordance that lists example sentences drawn from a special text corpus crawled from the World Wide Web, which has been cleaned of spam and includes only high-quality texts covering everyday, standard, formal, and professional language. There are versions of SkELL for English, Russian, German, Italian, Czech and Estonian.
SkELL is based on the commercial Sketch Engine corpus manager and the proprietary GDEX (Good Dictionary Examples) score that it implements.
Features.
SkELL can provide three kinds of results for a query:
The number of displayed lines in a concordance is limited to 40. However, the frequency of the searched query in the reference corpus is indicated above the concordance as "hits per million".
Use.
It has been suggested that SkELL can be used, for instance:
Data.
For each language, SkELL uses a dedicated text corpus, which can also be searched manually in the Sketch Engine using more powerful tools.
For example, the English Corpus for SkELL includes a total of more than 57 million sentences that contain more than one billion words. It is based on the English Wikipedia (a special selection of 130,000 articles), a subset from the English web corpus enTenTen14, the whole of the British National Corpus, and free news sources. The English collection of Project Gutenberg used to be a part of the corpus as well, but was removed due to its too archaic language.
History.
SkELL was first presented in 2014, when only English was supported. In 2015, support for Russian was added, and Czech has been supported since 2017. German, Italian and Estonian were added in 2018.