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- Bilge Say & Varol Akman (1997). Current Approaches to Punctuation in Computational Linguistics. .Some recent studies in computational linguistics have aimed to take advantage of various cues presented by punctuation marks. This short survey is intended to summarise these research efforts and additionally, to outline a current perspective for the usage and functions of punctuation marks. We conclude by presenting an information-based framework for punctuation, influenced by treatments of several related phenomena in computational linguistics.
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This document provides a system of punctuation that is based on the syntax of English sentences. It accords with the practice of leading publishers, and it conforms to the recommendations of such publications as The New York Public Library Writer’s Guide to Style and Usage. Skillful writers often punctuate in ways that violate this system of punctuation, but they have earned the right to do so: they know what they are doing and why. If you master the system presented in this document, you will not make errors of punctuation that teachers and editors will want to correct. You will also have the ability to justify your occasional departures from the rules: you will understand why your usage is preferable in the circumstances.
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We o er a preliminary account of the information-based aspects of punctuation marks. We give our initial treatment within the Discourse Representation Theory and its segmented version. We hypothesize that this work will be useful in classifying the informational contributions of punctuation marks and bringing them to bear on the semantic characterization of written discourse.
Punctuation has so far attracted attention within the linguistics community mostly from a syntactic perspective. In this paper, we give a preliminary account of the information-based aspects of punctuation, drawing our points from assorted, naturally occurring sentences. We present our formal models of these sentences and the semantic contributions of punctuation marks. Our formalism is a simpli ed analogue of an extension|due to Nicholas Asher|of Discourse Representation Theory.
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