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Cross-Language Structural Correspondence Learning Toolkit

Submitted by on Jul 22 2015 Suggest Revision
By: Peter Prettenhofer
Resource Type:
Code
License:
Other/Unknown
Language:
Python
Data Format:

Description

An implementation of Cross-Language Structural Correspondence Learning (CLSCL). Cross language text classification that builds on structural correspondence learning, The approach uses unlabeled documents, along with a simple word translation in order to induce task specific,cross-lingual word correspondences.
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