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Machine learning contextual approach to word determination for text input via reduced keypad keys

  • US 7,103,534 B2
  • Filed: 03/31/2001
  • Issued: 09/05/2006
  • Est. Priority Date: 03/31/2001
  • Status: Active Grant
First Claim
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1. A method for determining a word entered using a reduced keypad, where each of one or more keys of the reduced keypad is mapped to a plurality of letters, the method comprising:

  • receiving key input corresponding to the entered word and at least one of a left context and a right context;

    determining a list of possible words corresponding to the key input for the entered word, wherein each listed word is in a vocabulary or previously entered into a cache;

    using a language model comprising probability values corresponding to sequence of word N-grams of a natural language to rank the listed words based on at least one of the left context and the right context of the key input; and

    updating the language model with additional training using words entered into the cache.

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