Automatic Term Extraction

Kris HeylenDirk De Hertog
Table of contents

The general aim of Term Extraction (TE) is to identify the core vocabulary of a specialized domain. Traditional Manual Term Extraction (MTE) is carried out by a terminologist who lists potential Term Candidates (TC) and then consults with a domain expert to arrive at a final list of validated terms. However, in a rapidly changing world with an ever growing technical vocabulary, the manual maintenance, or in the case of new technological fields, the manual exploration, indexation and description of a domain’s core vocabulary is a labour-intensive enterprise. Automatic Term Extraction (ATE) is meant first and foremost as a computerized aid to alleviate this time-consuming task. For now, ATE concentrates on automating the preliminary identification of Term Candidates. In the long run, ATE might replace MTE completely.

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