Linguistic computing with UNIX tools

Lothar M. Schmitt, Kiel Christianson, Renu Gupta

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents an outline of applications to language analysis that open up through the combined use of two simple yet powerful programming languages with particularly short descriptions: sed and awk. We shall demonstrate how these two UNIX1 tools can be used to implement small, useful and customized applications ranging from text-formatting and text-transforming to sophisticated linguistic computing. Thus, the user becomes independent of sometimes bulky software packages which may be difficult to customize for particular purposes.

Original languageEnglish (US)
Title of host publicationNatural Language Processing and Text Mining
PublisherSpringer London
Pages221-258
Number of pages38
ISBN (Print)184628175X, 9781846281754
DOIs
StatePublished - Dec 1 2007

Fingerprint

UNIX
Linguistics
Software packages
Computer programming languages

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Schmitt, L. M., Christianson, K., & Gupta, R. (2007). Linguistic computing with UNIX tools. In Natural Language Processing and Text Mining (pp. 221-258). Springer London. https://doi.org/10.1007/978-1-84628-754-1_12

Linguistic computing with UNIX tools. / Schmitt, Lothar M.; Christianson, Kiel; Gupta, Renu.

Natural Language Processing and Text Mining. Springer London, 2007. p. 221-258.

Research output: Chapter in Book/Report/Conference proceedingChapter

Schmitt, LM, Christianson, K & Gupta, R 2007, Linguistic computing with UNIX tools. in Natural Language Processing and Text Mining. Springer London, pp. 221-258. https://doi.org/10.1007/978-1-84628-754-1_12
Schmitt LM, Christianson K, Gupta R. Linguistic computing with UNIX tools. In Natural Language Processing and Text Mining. Springer London. 2007. p. 221-258 https://doi.org/10.1007/978-1-84628-754-1_12
Schmitt, Lothar M. ; Christianson, Kiel ; Gupta, Renu. / Linguistic computing with UNIX tools. Natural Language Processing and Text Mining. Springer London, 2007. pp. 221-258
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