Paper Info
Title
Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings.
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.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
computational morphology,segmentation,machine learning
Field
DocType
Citations 
Computer science,Speech recognition,Artificial intelligence,Natural language processing,Cluster analysis,Maltese
Conference
1
PageRank 
References 
Authors
0.35
13
2
Name
Order
Citations
PageRank
Claudia Borg152.15
Albert Gatt269960.78