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A co-classification approach to learning from multilingual corpora

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Academic year: 2021

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Figure

Table 1 Distribution of the number of documents and size of the vocabulary of the Reuters RCV2 data used in our experiments, across languages and categories
Table 2 shows how the co-classification approach improves over the monolingual alter- alter-natives
Table 2 F-measures of different learning algorithms on different classes and for all languages
Fig. 1 Performance on the translation vs. source language, for all combinations of class and language, and all models
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