SIGIR2025: Lost in Transliteration
Collection
Model Checkpoints and Data for the SIGIR Short Paper: Lost in Transliteration: Bridging the Script Gap in Neural IR
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Updated
mt5-base Reranker RU mMARCO/v2 50/50 Native Transliterated Queries
This is a variation of Unicamp's mt5-base Reranker initially finetuned on mMARCOv/2.
The queries are a 50/50 split between native Russian and transliterated Russian to English text using uroman.
The model was used for the SIGIR 2025 Short paper: Lost in Transliteration: Bridging the Script Gap in Neural IR.
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