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.
M. Schwab, R. Jäschke, и F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, стр. 110--115. Association for Computational Linguistics, (2023)
M. Schwab, R. Jäschke, и F. Fischer. Proceedings of the 5th International Conference on Natural Language and Speech Processing, стр. 282--287. Association for Computational Linguistics, (2022)
F. Arnold, и R. Jäschke. Proceedings of the Workshop Understanding LIterature references in academic full TExt at JCDL 2022, том 3220 из ULITE-ws '22, стр. 7--15. CEUR Workshop Proceedings, (2022)