MameLoshnLM, trained by continuing pretraining Llama 3.1 8B on a curated Yiddish corpus, outperforms similar-scale open models on a new multi-task Yiddish benchmark and better retains Yiddish-specific loshn-koydesh vocabulary and morphology than general multilingual models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
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MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
MameLoshnLM, trained by continuing pretraining Llama 3.1 8B on a curated Yiddish corpus, outperforms similar-scale open models on a new multi-task Yiddish benchmark and better retains Yiddish-specific loshn-koydesh vocabulary and morphology than general multilingual models.