Semi-supervised Learning Framework for Cross-Lingual Projection

Abstract

Cross-lingual projection encounters two major challenges, the noise from word-alignment error and the syntactic divergences between two languages. To solve these two problems, a semi-supervised learning framework of cross-lingual projection is proposed to get better annotations using parallel data. Moreover, a projection model is introduced to model the… (More)
DOI: 10.1109/WI-IAT.2011.58

Topics

5 Figures and Tables

Cite this paper

@article{Hu2011SemisupervisedLF, title={Semi-supervised Learning Framework for Cross-Lingual Projection}, author={PengLong Hu and Mo Yu and Jing Li and Conghui Zhu and Tiejun Zhao}, journal={2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology}, year={2011}, volume={3}, pages={213-216} }