Paper Info
Title
Feature Discovery for Diachronic Register Analysis: a Semi-Automatic Approach.
Abstract
In this paper, we present corpus-based procedures to semi-automatically discover features relevant for the study of recent language change in scientific registers. First, linguistic features potentially adherent to recent language change are extracted from the SciTex Corpus. Second, features are assessed for their relevance for the study of recent language change in scientific registers by means of correspondence analysis. The discovered features will serve for further investigations of the linguistic evolution of newly emerged scientific registers.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
diachronic register analysis,correspondence analysis,linguistic feature evaluation
Field
DocType
Citations 
Computer science,Language change,Artificial intelligence,Natural language processing,Correspondence analysis,Feature discovery
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Stefania Degaetano-Ortlieb175.86
Ekaterina Lapshinova-Koltunski2137.67
Elke Teich37719.09