A Resource-Light Approach to Morpho-Syntactic Tagging by Jirka Hana
Rodopi; 1st edition | December 18, 2009 | English | ISBN: 9042027681 | 200 pages | PDF | 2 MB
While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian.