Title
Resource-Light Approaches to Computational Morphology. Part 1: Monolingual Approaches
Document Type
Article
Publication Date
10-2012
Journal / Book Title
Language & Linguistics Compass
Abstract
This article surveys resource-light monolingual approaches to morphological analysis and tagging. While supervised analyzers and taggers are very accurate, they are extremely expensive to create. Therefore, most of the world languages and dialects have no realistic prospect for morphological tools created in this way. The weakly-supervised approaches aim to minimize time, expertise and/or financial cost needed for their development. We discuss the algorithms and their performance considering issues such as accuracy, portability, development time and granularity of the output.
DOI
10.1002/lnc3.358
Journal ISSN / Book ISBN
1749-818X
MSU Digital Commons Citation
Hana, Jirka and Feldman, Anna, "Resource-Light Approaches to Computational Morphology. Part 1: Monolingual Approaches" (2012). Department of Linguistics Faculty Scholarship and Creative Works. 9.
https://digitalcommons.montclair.edu/linguistics-facpubs/9
Published Citation
Hana J. and A. Feldman. 2012. Resource-light approaches to computational morphology. Part I: Monolingual Approaches . In Language and Linguistics Compass Journal (Computational Linguistics Section), Vol.6, Issue 10, pp. 622-634. Blackwell.