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Application-based Evaluation of Automatic Terminology Extraction (CROSBI ID 290060)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Brkić Bakarić, Marija ; Babić, Nikola ; Matetić, Maja Application-based Evaluation of Automatic Terminology Extraction // International journal of advanced computer science & applications, 12 (2021), 1; 18-27

Podaci o odgovornosti

Brkić Bakarić, Marija ; Babić, Nikola ; Matetić, Maja

engleski

Application-based Evaluation of Automatic Terminology Extraction

The aim of this paper is to evaluate performance of several automatic term extraction methods which can be easily utilized by translators themselves. The experiments are conducted on German newspaper articles in the domain of politics on the topic of Brexit. However, they can be easily replicated on any other topic or language as long as it is supported by all three tools used. The paper first provides an extensive introduction into the field of automatic terminology extraction. Next, selected terminology extraction methods are assessed using precision with respect to the gold standard compiled on the same corpus. Moreover, the corpus has been completely annotated to allow for the calculation of recall. The effects of using five cut-off points are examined in order to find an optimal value which should be used in translation practice.

terminology extraction ; hybrid methods ; evaluation ; precision ; recall ; gold standard ; language resources

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Podaci o izdanju

12 (1)

2021.

18-27

objavljeno

2158-107X

2156-5570

Trošak objave rada u otvorenom pristupu

Povezanost rada

Informacijske i komunikacijske znanosti

Poveznice
Indeksiranost