发明名称 Machine learning contextual approach to word determination for text input via reduced keypad keys
摘要 Determination of a word input on a reduced keypad, such as a numeric keypad, by entering a key sequence ambiguously corresponding to the word, by taking into account the context of the word via a machine learning approach, is disclosed. Either the left context, the right context, or the double-sided context of the number sequence can be used to determine the intended word. The machine learning approach can use a statistical language model, such as an n-gram language model. The compression of a language model for use with small devices, such as mobile phones and other types of small devices, is also disclosed.
申请公布号 US7103534(B2) 申请公布日期 2006.09.05
申请号 US20010823619 申请日期 2001.03.31
申请人 MICROSOFT CORPORATION 发明人 GOODMAN JOSHUA T.
分类号 G06F17/20;G06F3/023;G06F17/21;G06F17/27 主分类号 G06F17/20
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