Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings

Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)

Abstract

The automatic discovery and clustering of morphologically related words is an important problem with several practical applications. This paper describes the evaluation of word clusters carried out through crowd-sourcing techniques for the Maltese language. The hybrid (Semitic-Romance) nature of Maltese morphology, together with the fact that no large-scale lexical resources are available for Maltese, make this an interesting and challenging problem.