A Corpus for Multilingual Document Classification in Eight Languages

Understand

Cross-lingual document classification aims at training a document classifier on resources in one language and transferring it to a different language without any additional resources.

• Several approaches have been proposed in the literature and the current best practice is to evaluate them on a subset of the Reuters Corpus Volume 2.
• However, this subset covers only few languages (English, German, French and Spanish) and almost all published works focus on the the transfer between English and German.
• In addition, we have observed that the class prior distributions differ significantly between the languages.