15. A computer readable memory having recorded thereon non-transitory statements and instructions for execution by a processor for implementing the method of claim 14 .
14. A method implemented on a computing device for generating classifiers from multilingual corpora, the method comprising: extracting, using the computing device, textual data from each one of a set of documents which form part of the multilingual corpora, the multilingual corpora comprising a first and a second subset of content-equivalent documents written in one of two respective languages; transforming the textual data into a respective one of feature vectors x 1 and x 2 , each one of the feature vectors being associated to a document classification y for categorizing different language versions of a same document; generating, using the computing device, a first classifier f 1 from the first subset, the first classifier f 1 being associated to the feature vector x 1 ; generating, using the computing device, a second classifier f 2 from the second subset, the second classifier f 2 being associated to the feature vector x 2 ; re-training the first classifier f 1 on the first subset based on classification results obtained from the second classifier f 2 , to obtain a re-trained first classifier f 1 ; re-training the second classifier f 2 on the second subset based on other classification results obtained from the re-trained first classifier f 1 ′, to obtain a retrained second classifier f 2 ′; the re-training comprising applying at least one of a gradient based algorithm for reducing the training cost between classification results, and an analytical algorithm for finding an approximate solution that reduces classification losses to reduce the training cost between classification results; repeating the steps of re-training until a training cost between the retrained first and second classifiers is minimized, thereby producing final first and second re-trained classifiers; and outputting at least one of the final first re-trained classifier and the final second re-trained classifier.