Augmentative and Alternative Communication (AAC) is the field of study concerned with providing devices or techniques to augment the communicative ability of a person whose disability makes it difficult to speak in an understandable fashion. A variety of AAC devices and techniques exist today. Some are non-electronic word boards containing words and phrases in standard orthography and/or iconic representations. A user of such a non-electronic system points to locations on the board and depends on the listener to appropriately interpret the selection. Electronic word boards may use the same sorts of selectable items, but may also include speech synthesis. These presumably provide more independence for the user who does not need to rely on a partner to interpret the selections. However, these systems may place more burden on the user who must be aware of the actual strings associated with each selection and must ensure that the synthesized string be an appropriate English sentence. Since the system will only "speak" what has been selected, generally more selections are required per sentence and speed of selection becomes more crucial. Some common features used to improve access time include abbreviation expansion (where the user of the system memorizes a set of unique abbreviations for some set of words/phrases) and letter/word prediction (where the system attempts to predict the next word of input based on the first few letters; typically these predictions are displayed on the screen and may be accessed very easily). While the techniques that have been made possible with the advent of personal computers have certainly provided great benefits, in this paper we explore how the use of natural language processing techniques can be used to improve performance.