SemCor: semantically annotated English corpus

The SemCor corpus is an English corpus with semantically annotated texts. The semantic analysis was done manually with WordNet 1.6 senses (SemCor version 1.6) and later automatically mapped to WordNet 3.0 (SemCor version 3.0). The SemCorpus corpus consists of 352 texts from Brown corpus.

This sense-tagged corpus SemCor 3.0 was automatically created from SemCor 1.6 by mapping WordNet 1.6 to WordNet 3.0 senses. SemCor 1.6 was created and is property of Princeton University. The automatic mapping was performed by Rada Mihalcea (rada@cs.unt.edu).

The corpus has also multi-word expressions (MWE) marked with underscore (_), e.g. manor_house. These multi-word units were annotated by Siva Reddy.

Part-of-speech tagset

SemCor was tagged by TreeTagger using Penn TreeBank tagset.

License

WordNet Release 1.6
Semantic Concordance Release 1.6
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Tools to work with the SemCor corpus

A complete set of tools is available to work with this sense-annotated English corpus to generate:

  • word lists – lists of English nouns, verbs, adjectives etc. organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context

Search the sense-tagged annotated corpus

Sketch Engine offers a range of tools to work with the SemCor corpus.

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