Corpus-based Lexicography for Lesser-resourced Languages — Maximizing the Limited Corpus

Abstract

This article focuses on lesser-resourced languages for which only very limited corpora are available and how such relatively small and often unbalanced, raw corpora could be maximally utilized for lexicographic purposes to obtain similar results as for bigger corpora. Sepedi and Afri-kaans will be studied in this regard. The aim is to determine to what extent enlarging a corpus from e.g. one to 10 million, and from 10 million to 100 million words enhances its potential for (a) macro-structure compilation, (b) sourcing information on the most important microstructural aspects and (c) the creation of lexicographic tools. It will be argued that valuable and even sufficient data for the compilation of a specific dictionary can be extracted from a relatively small corpus of approxi-mately one million words but that "bigger" in some instances indeed means "better".

Keywords: Corpus-based lexicography, lesser-resourced languages, limited corpora, corpus tools, lexicographic tools