Environment Corpus – domain-specific corpus

The English Environment Corpus is a domain-specific corpus made up of texts in English related to environmental science, collected from the Internet. The corpus consists of 61 million words and was created by SpiderLing on 29 November 2011, initially using a topic word list supplied by Macmillan Dictionaries.

This Environment corpus has named entity recognition (NER) created by using the tool GATE. The name entities include 5 classes: Date, Location, Money, Organization, and Person.

Part-of-speech tagset

The Environment corpus is tagged by TreeTagger using the Penn TreeBank tagset with Sketch Engine modifications.

Tools to work with the English Environment web corpus

A complete set of tools is available to work with this English domain-specific corpus 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
  • text type analysis – statistics of metadata in the corpus

Search Environment corpus

Sketch Engine offers a range of tools to work with this English Environament corpus from the web.

English Web corpora (enTenTen)

Sketch Engine offers multi-billion word corpora with genre and topic classification.

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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.