Toward a Name Entity Aligned Bilingual Corpus

This paper describes a co-training framework in which, through named entity aligned bilingual text, named entity taggers can complement and improve each other via an iterative process. This co-training approach allows us to 1) apply our method to not only parallel but also comparable text, greatly extending the applicability of the approach; and to 2) adapt named entity taggers to new domains; 3) create a named entity aligned bilingual corpus. Experiment results on Chinese-English data are shown and discussed.