2 papers
cs.CL2024
To Err Is Human, but Llamas Can Learn It Too
Agnes Luhtaru, Taido Purason, Martin Vainikko +2
This study explores enhancing grammatical error correction (GEC) through artificial error generation (AEG) using language models (LMs). Specifically, we fine-tune Llama 2-based LMs…
cs.CL2024
Autocorrect for Estonian texts: final report from project EKTB25
Agnes Luhtaru, Martin Vainikko, Krista Liin +4
The project was funded in 2021-2023 by the National Programme of Estonian Language Technology. Its main aim was to develop spelling and grammar correction tools for the Estonian la…