Work

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

Year: 2014

Type: conference-paper

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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/2hnjmbvpoir4

Authors: Claudia Borg, Albert Gatt

Institution: University of Malta

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2251744981