In linguistics, a corpus (plural corpora) or text corpus is a language resource consisting of a large and structured set of texts (nowadays usually electronically stored and processed). In corpus linguistics, they are used to do statistical analysis and hypothesis testing, checking occurrences or validating linguistic rules within a specific language territory.

In search technology, a corpus is the collection of documents which is being searched.

Overview

A corpus may contain texts in a single language (monolingual corpus) or text data in multiple languages (multilingual corpus).

In order to make the corpora more useful for doing linguistic research, they are often subjected to a process known as annotation. An example of annotating a corpus is part-of-speech tagging, or POS-tagging, in which information about each word's part of speech (verb, noun, adjective, etc.) is added to the corpus in the form of tags. Another example is indicating the lemma (base) form of each word. When the language of the corpus is not a working language of the researchers who use it, interlinear glossing is used to make the annotation bilingual.

Some corpora have further structured levels of analysis applied. In particular, smaller corpora may be fully parsed. Such corpora are usually called Treebanks or Parsed Corpora. The difficulty of ensuring that the entire corpus is completely and consistently annotated means that these corpora are usually smaller, containing around one to three million words. Other levels of linguistic structured analysis are possible, including annotations for morphology, semantics and pragmatics.

Applications

Corpora are the main knowledge base in corpus linguistics. Other notable areas of application include:

Some notable text corpora

Main article: List of text corpora

See also

References

  1. ^ Yoon, H., & Hirvela, A. (2004). ESL Student Attitudes toward Corpus Use in L2 Writing. Journal of Second Language Writing, 13(4), 257–283. Retrieved 21 March 2012.
  2. ^ Wołk, K.; Marasek, K. (7 April 2014). "A Sentence Meaning Based Alignment Method for Parallel Text Corpora Preparation". Advances in Intelligent Systems and Computing. Springer. 275: 107–114. arXiv:1509.09090. doi:10.1007/978-3-319-05951-8_11. ISBN 978-3-319-05950-1. ISSN 2194-5357. S2CID 15361632.
  3. ^ Wolk, Krzysztof; Marasek, Krzysztof (2015). "Tuned and GPU-accelerated parallel data mining from comparable corpora". In Král, Pavel; Matousek, Václav (eds.). Text, Speech, and Dialogue – 18th International Conference, TSD 2015, Pilsen, Czech Republic, September 14–17, 2015, Proceedings. Lecture Notes in Computer Science. Vol. 9302. Springer. pp. 32–40. arXiv:1509.08639. doi:10.1007/978-3-319-24033-6_4.