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RoBERTurk: Adjusting RoBERTa for Turkish

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arxiv 2401.03515 v1 pith:UVIG4V2G submitted 2024-01-07 cs.CL cs.LG

Nuri Tas This is my paper
classification cs.CLcs.LG
keywords datasettaskturkishmodelpretrainedrobertatokenizerwhile
verification ladder T0 review T1 audit T2 compute T3 formal
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We pretrain RoBERTa on a Turkish corpora using BPE tokenizer. Our model outperforms BERTurk family models on the BOUN dataset for the POS task while resulting in underperformance on the IMST dataset for the same task and achieving competitive scores on the Turkish split of the XTREME dataset for the NER task - all while being pretrained on smaller data than its competitors. We release our pretrained model and tokenizer.

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Cited by 1 Pith paper

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  1. SindBERT, the Sailor: Charting the Seas of Turkish NLP

    cs.CL 2025-10 conditional novelty 5.0 of 10

    SindBERT releases Turkish RoBERTa base/large models trained on 312GB of text; they match existing models, with the large variant best on two of four tasks and little scaling gain.

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