This disclosure describes techniques to provide suggestions of expanded text from abbreviated or compressed text that has been input by a user. A language model is used to determine and present the most likely full words and phrases that match user intent based on the user’s abbreviated text input, such as the first letter of each word of a phrase and/or omission of one or more words of the phrase. The described techniques can greatly improve speed of text entry to devices via a keyboard or other input modality.
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Narayanan, Ajit; Morris, Meredith; Venugopalan, Subhashini; Terry, Michael; Wu, Sherry Tongshuang; Cai, Shanqing; and Cai, Carrie, "Providing Suggestions of Expanded Text from Abbreviated Text Input", Technical Disclosure Commons, (October 12, 2021)