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A Simple Rule-Based Part of Speech Tagger (1992)

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by Eric Brill
Citations:596 - 9 self
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BibTeX

@MISC{Brill92asimple,
    author = {Eric Brill},
    title = {A Simple Rule-Based Part of Speech Tagger},
    year = {1992}
}

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Abstract

Automatic part of speech tagging is an area of natural language processing where statistical techniques have been more successful than rule- based methods. In this paper, we present a sim- ple rule-based part of speech tagger which automatically acquires its rules and tags with accuracy coinparable to stochastic taggers. The rule-based tagger has many advantages over these taggers, including: a vast reduction in stored information required, the perspicuity of a sinall set of meaningful rules, ease of finding and implementing improvements to the tagger, and better portability from one tag set, cor- pus genre or language to another. Perhaps the biggest contribution of this work is in demonstrating that the stochastic method is not the only viable method for part of speech tagging. The fact that a simple rule-based tagger that automatically learns its rules can perform so well should offer encouragement for researchers to further explore rule-based tagging, searching for a better and more expressive set of rule templates and other variations on the simple but effective theme described below.

Keyphrases

speech tagger    simple rule-based part    speech tagging    viable method    stochastic method    rule-based tagger    cor pu genre    rule template    sinall set    natural language processing    simple rule-based tagger    effective theme    tag set    meaningful rule    automatic part    stochastic tagger    vast reduction    rule-based tagging    sim ple rule-based part    many advantage    expressive set    statistical technique    stored information   

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