| Abstract | We present a new approach to cross-language text classification that builds on structural correspondence learning, a recently proposed theory for domain adaptation. |
| Introduction | This paper deals with cross-language text classification problems. |
| Introduction | Stated precisely: We are given a text classification task 7 in a target language ’2' for which no labeled documents are available. |
| Introduction | Such type of cross-language text classification problems are addressed by constructing a classifier f5 with training documents written in S and by applying f3 to unlabeled documents written in ’2'. |
| Related Work | Cross-Language Text Classification Bel et al. |
| Related Work | (2003) belong to the first who explicitly considered the problem of cross-language text classification . |