Text completion system for a miniature computer

In a computer system, a word prediction system configured to implement a method for obtaining a prioritized list of word predictions for a partial data entry, comprising the steps of:

• receiving a partial data entry;
• comparing the partial data entry to the entries in a dictionary to obtain a list of feasible words;
• submitting the list of feasible words to a plurality of word prediction experts;
• obtaining a word prediction from each word prediction expert;
• and
• positioning each word prediction in the prioritized list of word predictions based on a computed indication of likelihood of being a correct completion suggestion.

In a computer system, a word prediction system for producing a prioritized list of word predictions for a partial data entry, comprising:

• a dictionary comprising a plurality of static dictionary entries and a plurality of dynamic dictionary values, each static dictionary entry having a word associated with a unique word identification value;
• a word count value associated with each dictionary entry indicating the historical frequency of the occurrence of the particular dictionary entry in the word prediction system;
• a probability score associated with each static dictionary entry indicating the frequency of the occurrence of the particular dictionary entry in a training corpus;
• an array of word identification values corresponding to a list of recently received words in the order in which the words were received by the word prediction system;
• and
• an array of signature values based on hash values, each hash value stored at a memory address based on the corresponding hash value, each hash value computed based on a word identification value and a context parameter associated with the partial data entry.