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https://doaj.org/article/3acf7...
Article . 2015
Data sources: DOAJ
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Corpus Linguistics and Bilingual Terminology: The AntConc Program and Term Extraction in German

Authors: Cristina Alberts-Franco;

Corpus Linguistics and Bilingual Terminology: The AntConc Program and Term Extraction in German

Abstract

This paper discusses three researches involving Corpus Linguistics and Terminology German/Portuguese using program AntConc. The first aimed to extract terms related to Economics in German electronic newspapers. The second and third aimed to extract terms related to the Indian material culture in works by Koch-Grünberg; the purpose: compile a bilingual glossary. The first and second researches, using tools Word List, Concordance, and File View, shortly allowed extraction of large number of terms, whose frequency was reliably established. The third, in initial phase, will allow us to enlarge the results produced with the second, presently with 257 terms and their translation.

Keywords

English language, Language. Linguistic theory. Comparative grammar, P101-410, Linguística de Corpus, Terminologia, Programa AntConc e Língua Alemã., PE1-3729

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average