Although term extraction has been researched for more than 20 years, only a few studies focus on under-resourced languages. Moreover, bilingual term mapping from comparable corpora for these languages has attracted researchers only recently. This paper presents methods for term extraction, term tagging in documents, and bilingual term mapping from comparable corpora for four under-resourced languages: Croatian, Latvian, Lithuanian, and Romanian. Methods described in this paper are language independent as long as language specific parameter data is provided by the user and the user has access to a part of speech or a morpho-syntactic tagger.
T. Yuan, G. Li, J. Lu, C. Liu, L. Li, und J. Xue. 2021 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Seite 187-199. Los Alamitos, CA, USA, IEEE Computer Society, (März 2021)
S. Rodriguez, N. Gaud, und S. Galland. the 2014 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Warsaw, Poland, IEEE Computer Society Press, (2014)