A Simple Rule-Based Part of Speech Tagger

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

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by Eric Brill

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584 - 9 self

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@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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