Papers with RULEC-GEC
Grammatical Error Correction via Sequence Tagging for Russian (2025.acl-srw)
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| Challenge: | Several types of models have been suggested for grammatical error correction . despite being successful, the difference between GEC and machine translation is not taken into account . |
| Approach: | They propose a modified sequence tagging architecture for the Russian language to be used for grammatical error correction. |
| Outcome: | The proposed model outperforms previous approaches on two Russian GEC benchmarks while achieving competitive performance on RULEC-GEC. |
Universal Dependencies for Learner Russian (2024.lrec-main)
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| Challenge: | a pilot study of Russian learner data with syntactic dependency relations is presented . a focus of recent work in the NLP community has been on grammar errors . |
| Approach: | They propose to annotate Russian learner data with syntactic dependency relations using a subset of sentences from two error-corrected Russian learners. |
| Outcome: | The proposed annotations are performed on a subset of Russian learner datasets. |