Semiautomatic disabbreviation of technical text

Neil Rowe, Kari Laitinen

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)

Abstract

Abbreviations adversely affect information retrieval and text comprehensibility. We describe a software tool to decipher abbrevations by finding their whole-word equivalents or “disabbreviations”.
It uses a large English dictionary and a rule-based system to guess the most-likely candidates, with users having final approval. The rule-based system uses a variety of knowledge to limit its search, including phonetics, known methods of constructing multiword abbrevations, and analogies to previous abbreviations. The tool is especially helpful for retrieval from computer programs, a form of technical text in which abbreviations are notoriously common; disabbreviation of programs can make programs more reusable, improving software engineering.
It also helps decipher the often-specialized abbreviations in technical captions. Experimental results confirm that the prototype tool is easy to use, finds many correct disabbreviations, and improves text comprehensibility.
Original languageEnglish
Pages (from-to)851-857
JournalInformation Processing and Management
Volume31
Issue number6
DOIs
Publication statusPublished - 1995
MoE publication typeA1 Journal article-refereed

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Knowledge based systems
Speech analysis
Glossaries
Information retrieval
Computer program listings
Software engineering
data processing program
information retrieval
phonetics
dictionary
candidacy
engineering
software
Rule-based systems

Cite this

Rowe, Neil ; Laitinen, Kari. / Semiautomatic disabbreviation of technical text. In: Information Processing and Management. 1995 ; Vol. 31, No. 6. pp. 851-857.
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Semiautomatic disabbreviation of technical text. / Rowe, Neil; Laitinen, Kari.

In: Information Processing and Management, Vol. 31, No. 6, 1995, p. 851-857.

Research output: Contribution to journalArticleScientificpeer-review

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