Neural Spell-Checker: Beyond Words with Synthetic Data Generation

Author:

Klemen Matej,Božič Martin,Holdt Špela Arhar,Robnik-Šikonja Marko

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Arhar Holdt, Š., Gantar, P., Bon, M., Gapsa, M., Lavrič, P., Klemen, M.: Dataset for evaluation of Slovene spell- and grammar-checking tools Šolar-Eval 1.0 (2023). http://hdl.handle.net/11356/1902, Slovenian language resource repository CLARIN.SI

2. Arhar Holdt, Š., et al.: Developmental corpus šolar 3.0 (2022). http://hdl.handle.net/11356/1589, Slovenian language resource repository CLARIN.SI

3. Aziz, R., Anwar, M.W., Jamal, M.H., Bajwa, U.I.: A hybrid model for spelling error detection and correction for Urdu language. Neural Comput. Appl. 33(21), 14707–14721 (2021). https://doi.org/10.1007/s00521-021-06110-7

4. Čibej, J., et al.: Morphological lexicon Sloleks 3.0 (2022). http://hdl.handle.net/11356/1745, Slovenian language resource repository CLARIN.SI

5. Clark, K., Luong, M.T., Le, Q.V., Manning, C.D.: ELECTRA: pre-training text encoders as discriminators rather than generators. In: ICLR (2020)

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