Melania Cabezas-García


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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.


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Towards the Inference of Semantic Relations in Complex Nominals: a Pilot Study
Melania Cabezas-García | Pilar León-Araúz
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Semantic annotation to characterize contextual variation in terminological noun compounds: a pilot study
Melania Cabezas-García | Antonio San Martín
Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)

Noun compounds (NCs) are semantically complex and not fully compositional, as is often assumed. This paper presents a pilot study regarding the semantic annotation of environmental NCs with a view to accessing their semantics and exploring their domain-based contextual variation. Our results showed that the semantic annotation of NCs afforded important insights into how context impacts their conceptualization.