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@@ -7,6 +7,16 @@ An xlm-roberta-large model fine-tuned on ~1,6 million annotated statements conta
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  The model can be used to categorize any type of text into 56 different political topics according to the Manifesto Project's coding scheme ([Handbook 4](https://manifesto-project.wzb.eu/coding_schemes/mp_v4)).
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  It works for all languages the xlm-roberta model is pretrained on ([overview](https://github.com/facebookresearch/fairseq/tree/main/examples/xlmr#introduction)), just note that it will perform best for the 38 languages contained in the Manifesto Corpus:
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  ## How to use
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  The model can be used to categorize any type of text into 56 different political topics according to the Manifesto Project's coding scheme ([Handbook 4](https://manifesto-project.wzb.eu/coding_schemes/mp_v4)).
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  It works for all languages the xlm-roberta model is pretrained on ([overview](https://github.com/facebookresearch/fairseq/tree/main/examples/xlmr#introduction)), just note that it will perform best for the 38 languages contained in the Manifesto Corpus:
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+ |------|------|------|------|------|
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+ |armenian|bosnian|bulgarian|catalan|croatian|
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+ |czech|danish|dutch|english|estonian|
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+ |finnish|french|galician|georgian|german|
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+ |greek|hebrew|hungarian|icelandic|italian|
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+ |japanese|korean|latvian|lithuanian|macedonian|
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+ |montenegrin|norwegian|polish|portuguese|romanian|
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+ |russian|serbian|slovak|slovenian|spanish|
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+ |swedish|turkish|ukrainian| | |
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  ## How to use
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