Predictive Text - Disambiguation Failure and Misspelling

Disambiguation Failure and Misspelling

Textonyms in which a disambiguation systems gives more than one dictionary word for a single sequence of keystrokes, are not the only issue, or even the most important issue, limiting the effectiveness of predictive text implementations. More important, according to the above references, are words for which the disambiguation produces a single, incorrect response. The system may, for example, respond with "Blairf" upon input of 252473, when the intended word was "Blaire" or "Claire" both of which correspond to the keystroke sequence, but are not, in this example, found by the predictive text system. When mis-typings or misspellings occur, they are very unlikely to be recognized correctly by a disambiguation system, though error correction mechanisms may mitigate that effect.