Paper No: 13
Specific Circumstances
on the Ability of Linguistic Feature Extraction based on Context
Preprocessing by ICA
Author(s): Markus Borschbach, Martin Pyka
Abstract
Blind Signal Separation (BSS) based on Independent Component
Analysis (ICA) is an emerging approach which application is not
limited to the signal processing research, where its application
principle is rather straight forward. For an increasing amount of
information processing fields, ICA has meaningful application which
are still undiscovered. The aim of this paper is to investigate the
ability of linguistic feature extraction based on word context
preprocessing by ICA. The work refers to a first brief analysis in
which ICA was applied to an English corpus. We continue this
analysis depending on the number of components and the amount of
syntactical informations that we take into account. Further more we
discuss to which extent the results deliver general linguistic
features, or linguistic features giving us informations about the
text. |
