Code-Switching and Back-Transliteration Using a Bilingual Model (2024.findings-eacl)
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| Challenge: | a wealth of Judeo-Arabic texts is available on the internet, but most speakers of Arabic are unfamiliar with the Hebrew script. |
| Approach: | They propose two machine-learning models for transliterating Judeo-Arabic into Arabic . they also propose a model for identifying non-Arabian words, predominantly Hebrew and Aramaic . |
| Outcome: | The proposed models outperform previous solutions for transliterating Judeo-Arabic into Arabic and identifying non-Arabian words, mainly Hebrew and Aramaic. |
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