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Autocorrect for Estonian texts: final report from project EKTB25
Feb. 20, 2024, 5:51 a.m. | Agnes Luhtaru, Martin Vainikko, Krista Liin, Kais Allkivi-Metsoja, Jaagup Kippar, Pille Eslon, Mark Fishel
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 language. The main challenge was the very small amount of available error correction data needed for such development. To mitigate this, (1) we annotated more correction data for model training and testing, (2) we tested transfer-learning, i.e. retraining machine learning models created for other tasks, so as …
abstract aim arxiv autocorrect challenge cs.ai cs.cl data development error error correction grammar grammar correction in 2021 language project report small technology tools type
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