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- W1937910921 abstract "An error correction strategy that can be applied to existing chord based text entry systems is proposed. The strategy is capable of correcting 99.1% of all single bit errors (insertions and deletions) and 98.1% of certain double bit errors (substitutions) occurring in words. The strategy compares the entered words against entries in a reference wordlist. A genetic algorithm is used to search for the close-to-optimal chord-to-character mapping in terms of single bit errors, certain double bit errors and mean fingers per chord (effort). The paper also explores the magnitude of the error-correcting degradation that occurs with multiple bit errors per word. The chord-to-character mappings proposed is capable of correcting 0.6% more single bit errors than the classic micro writer design, and one design is presented that result in about 17% fewer finger movements." @default.
- W1937910921 created "2016-06-24" @default.
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- W1937910921 date "2005-12-10" @default.
- W1937910921 modified "2023-09-27" @default.
- W1937910921 title "Non-Intrusive Error-Correction of Text Input Chords: A Language Model Approach" @default.
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- W1937910921 doi "https://doi.org/10.1109/nafips.2005.1548564" @default.
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