Article published in:Recent Trends in Computational Terminology
Edited by Béatrice Daille, Kyo Kageura, Hiroshi Nakagawa and Lee-Feng Chien
[Terminology 10:1] 2004
► pp. 101–130
Abducing term variant translations in aligned texts
Term variation is an important issue in various applications of natural language processing (NLP) such as machine translation, information retrieval and text indexing. In this paper, we describe an ‘Abductive Terminological Database’ (ATDB) aiming to detect translations of terms and their variants in bilingual texts. We describe abduction as the process to infer specific term translation templates from multiple resources which have been induced from a bilingual text. We show that precision and recall of the ATDB increase when using more resources and when the resources interfere in a less restricted way. We discuss a way to feed back evaluation values into the induced resources thus allowing for weighted abduction which further enhances the precision of the tool.
Keywords: recognition of terminological variation, automatic generation of variation templates, weighted term variant abduction
Published online: 10 June 2004
Cited by 2 other publications
Bernier-Colborne, Gabriel & Patrick Drouin
Miyata, Rei & Kyo Kageura
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