1996
DOI: 10.1075/term.3.2.03kag
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Methods of automatic term recognition

Abstract: Following the growing interest in "corpus-based" approaches to computational linguistics, a number of studies have recently appeared on the topic of automatic term recognition or extraction. Because a successful term-recognition method has to be based on proper insights into the nature of terms, studies of automatic term recognition not only contribute to the applications of computational linguistics but also to the theoretical foundation of terminology. Many studies on automatic term recognition treat interes… Show more

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Cited by 299 publications
(168 citation statements)
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“…As articulated by Kageura and Umino (1996), ATR deals with the computation of measures known as unithood and termhood. It is believed that the majority of terms in a domain are complex terms.…”
Section: Computational Terminologymentioning
confidence: 99%
See 1 more Smart Citation
“…As articulated by Kageura and Umino (1996), ATR deals with the computation of measures known as unithood and termhood. It is believed that the majority of terms in a domain are complex terms.…”
Section: Computational Terminologymentioning
confidence: 99%
“…Kageura and Umino (1996) defined the termhood-based methods measure as "the degree that a linguistic unit is related to domain-specific concepts", i.e. the likelihood that a phrase is a valid domain term.…”
Section: Introductionmentioning
confidence: 99%
“…"telephone" in the same text). While this is often seen as a problem that is more or less solved ( [7]; see [15] for a review of methods), the methods employed still rely on the presence of linguistic resources (e.g. corpora of non-domain-specific texts, lexicons; our approach differs in this respect, see below), and in any case are only the first step in a text-based analysis: ideally, the goal is to get a collection of terms that is further structured according to semantic relationships between the terms.…”
Section: Ontology Engineeringmentioning
confidence: 99%
“…Many methods of term scoring have been proposed in the literature [7] [3] [4]. Methods that use corpus statistics have especially emerged over the past decade due to the increasing number of machine-readable documents such as news articles and WWW documents.…”
Section: Related Workmentioning
confidence: 99%