Papers with WikiSpell

2 papers
English Language Spelling Correction as an Information Retrieval Task Using Wikipedia Search Statistics (2022.lrec-1)

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Challenge: Existing spelling correction tools lack training or annotated data sets to perform . many spelling correction utilities suffer due to the size and quality of dictionaries available to aid correction.
Approach: They propose a dynamic spelling correction tool that uses the Wikipedia dataset search API to aid misspelled term identification and automatic replacement.
Outcome: The proposed spelling correction tool performs comparable to the industry-standard spelling correction algorithm, Hunspell.
Character-Aware Models Improve Visual Text Rendering (2023.acl-long)

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Challenge: Current image generation models struggle to produce well-formed visual text due to lack of character-level input features.
Approach: They conduct a series of experiments to compare character-aware vs. character-blind text encoders to determine their spelling ability.
Outcome: The character-aware models outperform character-blind models on a range of novel text rendering tasks.

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