Resource-Light Approaches to Computational Morphology. Part 1: Monolingual Approaches
Journal / Book Title
Language & Linguistics Compass
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.
Journal ISSN / Book ISBN
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.
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.