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A Methodology for Generative Spelling Correction via Natural Spelling
  Errors Emulation across Multiple Domains and Languages

A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages

18 August 2023
Nikita Martynov
Mark Baushenko
Anastasia Kozlova
Katerina Kolomeytseva
Aleksandr Abramov
Alena Fenogenova
ArXivPDFHTML

Papers citing "A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages"

4 / 4 papers shown
Title
Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts
Detecting Spelling and Grammatical Anomalies in Russian Poetry Texts
Ilya Koziev
29
0
0
07 May 2025
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design
Artem Snegirev
Maria Tikhonova
Anna Maksimova
Alena Fenogenova
Alexander Abramov
26
4
0
22 Aug 2024
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
169
86
0
06 Dec 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
246
283
0
02 Feb 2021
1