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Multiple classification tasks with one upload (coming soon)
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Sentiment analysis (S3) targeted at named entities within sentence (coming soon)
Current Supported Languages per Task
| Language \ Task | Policy Content Binary Classifier (for CAP) | CAP | Manifesto | Sentiment (3) | Emotions (6) | NER |
|---|---|---|---|---|---|---|
| Coverage % | 6.12% | 13.27% | 32.65% | 7.14% | 7.14% | 2.04% |
| Armenian | ✅ | |||||
| Bulgarian | ✅ | |||||
| Croatian | ✅ | |||||
| Czech | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Danish | ✅ | ✅ | ||||
| Dutch | ✅ | ✅ | ||||
| English | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| Estonian | ✅ | |||||
| Finnish | ✅ | |||||
| French | ✅ | ✅ | ✅ | ✅ | ||
| Georgian | ✅ | |||||
| German | ✅ | ✅ | ✅ | ✅ | ||
| Greek | ✅ | |||||
| Hebrew | ✅ | |||||
| Hungarian | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Icelandic | ✅ | |||||
| Italian | ✅ | ✅ | ||||
| Japanese | ✅ | |||||
| Korean | ✅ | |||||
| Latvian | ✅ | |||||
| Lithuanian | ✅ | |||||
| Norwegian | ✅ | ✅ | ✅ | |||
| Polish | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Portuguese | ✅ | ✅ | ||||
| Romanian | ✅ | |||||
| Russian | ✅ | |||||
| Serbian | ✅ | |||||
| Slovak | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Slovenian | ✅ | |||||
| Somali | ✅ | |||||
| Spanish | ✅ | ✅ | ||||
| Swedish | ✅ | |||||
| Turkish | ✅ |
The research was supported by the Ministry of Innovation and Technology NRDI Office within the RRF-2.3.1-21-2022-00004 Artificial Intelligence National Laboratory project and received additional funding from the European Union's Horizon 2020 program under grant agreement no 101008468. We also thank the Babel Machine project and HUN-REN Cloud (Héder et al. 2022; https://science-cloud.hu) for their support. We used the machine learning service of the Slices RI infrastructure (https://www.slices-ri.eu/)
HOW TO CITE: If you use the Babel Machine for your work or research, please cite this paper:
Sebők, M., Máté, Á., Ring, O., Kovács, V., & Lehoczki, R. (2024). Leveraging Open Large Language Models for Multilingual Policy Topic Classification: The Babel Machine Approach. Social Science Computer Review, 0(0). https://doi.org/10.1177/08944393241259434