Arianne Reimerink


2020

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Representing Multiword Term Variation in a Terminological Knowledge Base: a Corpus-Based Study
Pilar León-Araúz | Arianne Reimerink | Melania Cabezas-García
Proceedings of the Twelfth Language Resources and Evaluation Conference

In scientific and technical communication, multiword terms are the most frequent type of lexical units. Rendering them in another language is not an easy task due to their cognitive complexity, the proliferation of different forms, and their unsystematic representation in terminographic resources. This often results in a broad spectrum of translations for multiword terms, which also foment term variation since they consist of two or more constituents. In this study we carried out a quantitative and qualitative analysis of Spanish translation variants of a set of environment-related concepts by evaluating equivalents in three parallel corpora, two comparable corpora and two terminological resources. Our results showed that MWTs exhibit a significant degree of term variation of different characteristics, which were used to establish a set of criteria according to which term variants should be selected, organized and described in terminological knowledge bases.

2018

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Manzanilla: An Image Annotation Tool for TKB Building
Arianne Reimerink | Pilar León-Araúz
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Evaluating EcoLexiCAT: a Terminology-Enhanced CAT Tool
Pilar León-Araúz | Arianne Reimerink
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2010

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EcoLexicon: An Environmental TKB
Arianne Reimerink | Pilar León Araúz | Pedro J. Magaña Redondo
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

EcoLexicon, a multilingual knowledge resource on the environment, provides an internally coherent information system covering a wide range of specialized linguistic and conceptual needs. Data in our terminological knowledge base (TKB) are primarily hosted in a relational database which is now linked to an ontology in order to apply reasoning techniques and enhance user queries. The advantages of ontological reasoning can only be obtained if conceptual description is based on systematic criteria and a wide inventory of non-hierarchical relations, which confer dynamism to knowledge representation. Thus, our research has mainly focused on conceptual modelling and providing a user-friendly multimodal interface. The dynamic interface, which combines conceptual (networks and definitions), linguistic (contexts, concordances) and graphical information offers users the freedom to surf it according to their needs. Furthermore, dynamism is also present at the representational level. Contextual constraints have been applied to reconceptualise versatile concepts that cause a great deal of information overload.