Methods in both categories have their unique strengths and weaknesses.
Besides disambiguating uncertain input strings, linguistic knowledge can also be used for predicting users’ future intention (a.k.a. T9 ), character level N-gram models (e.g. Linguistic knowledge can be leveraged either through Dictionary-based Disambiguation (DBD e.g. Also known as predictive input, these methods use redundant information in language to disambiguate users’ input when entering standard English words. MultiTap, TNT ), concurrent chording, tilting or motion to select one character from the multiple alphabetical characters on each key. Most disambiguation methods can be categorized into the following two categories: Action Based Disambiguation. All mobile text input techniques relying on the 12-key keypad have to resolve the ambiguity that arises from this one-to-many mapping. In the ITU E.161 standard, one numeric button corresponds to 3 or 4 alphabet characters on the keypad ( Figure 1). One fundamental difficulty in text entry using a 12-key keypad is that the mapping of 26 alphabet characters to the 12 keys is inherently ambiguous. Other input devices, such as mini QWERTY keyboards and touch screens are on the rise, but the 12-button keypad-based mobile phones are still, and will likely to be for years to come, the majority in the market. This keypad is effective for dialing phone numbers but not for editing contact lists, composing SMS messages or writing emails. Due to trade-offs in both size and compatibility, most mobile phones today are equipped with a 12-key keypad ( Figure 1). However, despite the rapid growth of mobile phones, text entry on small devices remains a major challenge.
Their portability and communication capabilities have revolutionized how people interact with each other.
an estimated 4 billion units in use in December 2008, mobile phones have already become the most popular computing device in human history.
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