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Corpus-based studies on language varieties


Francisco Alonso Almeida, Laura Cruz García and Víctor González-Ruiz

This volume brings together a number of corpus-based studies dealing with language varieties. These contributions focus on contemporary lines of research interests, and include language teaching and learning, translation, domain-specific grammatical and textual phenomena, linguistic variation and gender, among others. Corpora used in these studies range from highly specialized texts, including earlier scientific texts, to regional varieties. Under the umbrella of corpus linguistics, scholars also apply other distinct methodological approaches to their data in order to offer new insights into old and new topics in linguistics and applied linguistics. Another important contribution of this book lies in the obvious didactic implications of the results obtained in the individual chapters for domain-based language teaching.
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Multidimensional categorization in corpus-based hyponymic structures


1.  Introduction

In Terminology, hyponymy is an important semantic relation, since it is the starting point for the construction of taxonomies and concept hierarchies. Thus, the automatic retrieval of hyponymic pairs from specialized corpora would improve the creation of any terminological resource, as this is usually a time-consuming manual task. However, concepts are not static representations in the human mind. They are rather dynamic constructs that belong to fuzzy categories. Proof of this is the fact that concepts are often categorized according to different hypernyms, giving rise to multidimensionality (Rogers 2004). Multidimensionality occurs when a concept can be seen from different points of view and can therefore be classified in more than one way (Bowker 1997; Kageura 1997; Wright 1997; Rogers 2004). According to Picht and Draskau (1985: 48, apud Rogers 2004: 219), multidimensionality depends on who is the classifier as well as the different knowledge sources that may reflect different criteria when organizing the same domain or knowledge node. For example, botanists would classify roses differently from rose growers.

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