Cross-language text classification
Published 15 August 2005
J. Scott Olsson, Douglas W. Oard, Jan Hajič
Citations50
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The goal in cross-language text classification (CLTC) is to use English training data to classify Czech documents (although the concepts presented here are applicable to any language pair), and the authors are unaware of any previous work in this area.
Abstract
No abstract available.
Keywords
Computer Science
Natural Language EngineeringApplied morphological processing of English
347 Citations2001Guido Minnen, John M. Carroll +1 more
Two newly developed computational tools for morphological processing are described: a program for analysis of English inflectional morphology, and a morphological generator, automatically derived from the analyser, which are fast, being based on finite-state techniques, and robust, in that they are able to deal effectively with unknown words.
