Bilingual terminology extraction dataset KAS-biterm 1.0

  Avtorji

Erjavec, Tomaž ; Fišer, Darja ; Ljubešić, Nikola and Bitenc, Maja

  Identifikator vnosa

http://hdl.handle.net/11356/1199

 URL projekta

http://nl.ijs.si/kas/

 Demo URL

https://github.com/clarinsi/kas-biterm

 Datum objave

2018-08-18

 Vrsta

corpus, text

 Velikost

1952 sentences, 78491 tokens, 3732 terms

 Jezik(i)

English , Slovenian

 Opis

The KAS-biterm bilingual term extraction dataset contains complete sentences selected from PhD theses from the KAS corpus of Slovene academic writing. Only sentences that have a high chance of containing the term in the original language and its translation into Slovene were chosen, by using three CQL patterms in noSketch Engine. These sentences are manually annotated for (1) terms, (2) partial terms and (3) abbreviations in (a) Slovene, (b) English, or (c) other language. Links between the Slovene terms and their equivalents in the other languages, as well as their abbreviations, are encoded as well. The resource can serve as a training set for supervised learning of bilingual term extraction tools and their benchmarking.

 Izdajatelj

Jožef Stefan Institute

 Zahvala

ARRS (Slovenian Research Agency) J6-7094 "Slovene scientific texts: resources and description"

 Ključne besede

terminology manual annotation

 Zbirke

CLARIN.SI data & tools

Prikaži polni zapis vnosa