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16 pages, 247 KiB  
Article
Show Me All Writing Errors: A Two-Phased Grammatical Error Corrector for Romanian
by Mihai-Cristian Tudose, Stefan Ruseti and Mihai Dascalu
Information 2025, 16(3), 242; https://doi.org/10.3390/info16030242 - 18 Mar 2025
Viewed by 787
Abstract
Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. This research is focused on developing a methodology to correct grammatical errors in the Romanian language, a less-resourced language for which there [...] Read more.
Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. This research is focused on developing a methodology to correct grammatical errors in the Romanian language, a less-resourced language for which there are currently no up-to-date GEC solutions. Our main contributions include an open-source synthetic dataset of 345,403 Romanian sentences, a manually curated dataset of 3054 social media comments, a two-phased GEC approach, and a comparison with several Romanian models, including RoMistral and RoLama3, but also LanguageTool, GPT-4o mini, and GPT-4o. We consider a synthetic dataset to finetune our models, while we rely on two real-life datasets with genuine human mistakes (i.e., CNA and RoComments) to evaluate performance. Building an artificial dataset was necessary because of the scarcity of real-life mistake datasets, whereas introducing RoComments, a new genuine dataset, is argued by the necessity to cover errors amongst native speakers encountered in social media comments. We also introduce a two-phased approach, where we first identify the location of erroneous tokens in the sentence; next, the erroneous tokens are replaced by an encoder–decoder model. Our approach achieved an F0.5 of 0.57 on CNA and 0.64 on RoComments, surpassing by a considerable margin LanguageTool as well as an end-to-end version based on Flan-T5 and mT0 in most setups. While our two-phased method did not outperform GPT-4o, arguably by its smaller size and language exposure, it obtained on-par results with GPT-4o mini and achieved higher performance than all Romanian LLMs. Full article
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22 pages, 13991 KiB  
Article
Numerical Analysis Related to the ROCOM Pressurized Thermal Shock Benchmark
by Thomas Höhne and Sören Kliem
Fluids 2023, 8(1), 4; https://doi.org/10.3390/fluids8010004 - 22 Dec 2022
Cited by 4 | Viewed by 2612
Abstract
The development, verification, and validation of Computational Fluid Dynamics (CFD) codes in reference to nuclear power plant (NPP) safety has been a focus of many research organizations over the last few decades. Therefore, a collection of Rossendorf Coolant Mixing Test Facility (ROCOM) CFD-grade [...] Read more.
The development, verification, and validation of Computational Fluid Dynamics (CFD) codes in reference to nuclear power plant (NPP) safety has been a focus of many research organizations over the last few decades. Therefore, a collection of Rossendorf Coolant Mixing Test Facility (ROCOM) CFD-grade experiments was made obtainable to line up a global International Atomic Energy Agency (IAEA) benchmark regarding Pressurized Thermal Shock (PTS) situations. The benchmark experiment describes the complicated flow structures in mixed convection zones of the RPV during PTS events. The experiments were utilized to validate CFD codes. Additionally, an experiment with no buoyancy forces was elite to point out the influence of density variations. Compared to earlier studies, the turbulence models of the CFD code improved a lot. The turbulence modeling approach shows a respectable agreement with the experimental data. Full article
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