System and method for improving text input in a shorthand-on-keyboard interface

Abstract

A word pattern recognition system improves text input entered via a shorthand-on-keyboard interface. A core lexicon comprises commonly used words in a language; an extended lexicon comprises words not included in the core lexicon. The system only directly outputs words from the core lexicon. Candidate words from the extended lexicon can be outputted and simultaneously admitted to the core lexicon upon user selection. A concatenation module enables a user to input parts of a long word separately. A compound word module combines two common shorter words whose concatenation forms a long word.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This application relates to the following co-pending U.S. patent application Ser. No. 10 / 325,197, titled “System and Method for Recognizing Word Patterns Based on a Virtual Keyboard Layout,” Ser. No. 10 / 788,639, titled “System and Method for Recognizing Word Patterns in a Very Large Vocabulary Based on a Virtual Keyboard Layout,” and Ser. No. 11 / 121,637, titled “System and Method for Issuing Commands Based on Pen Motion on a Graphical Keyboard,” all of which are assigned to the same assignee as the present application, and are incorporated herein by reference. FIELD OF THE INVENTION [0002] The present invention generally relates to lexicon-based text entry and text prediction systems. More specifically, the present invention relates to text entry using shorthand-on-keyboard, an efficient method of entering words by drawing geometric patterns on a graphical on-screen keyboard. BACKGROUND OF THE INVENTION [0003] Shorthand on graphical key...

AI Technical Summary

Benefits of technology

[0017] The present system reduces the overhead inflicted upon the user in the case the word gestured by the user is not in the vocabulary of the core lexicon. Instead ...

Problems solved by technology

A lexicon that is either too large or too small can introduce problems to the user.

A larger lexicon could present certain challenges, since it tends to reduce the recognition accuracy due to the likelihood of a greater number of distracters for each user input.

For other users, these specialized terms can be irrelevant and can introduce noise in the recognition process, making the recognition process less robust.

This is especially important in mobile devices where processing power is severely limited.

However, when a small lexicon does not contain the word the user needs, the user experience can be frustrating.

A user does not know, prior to entry, whether a word is in the lexicon, causing uncertainty for the user.

The lack of recognition of a word by a conventional system can occur either when the word is input incorrectly or when the word is not in the lexicon.

Consequently, it can be difficult for the user to determine why a word is not recognized.

The downside of a language model approach is generally the overhead of creating and making efficient use of a large language model.

Moreover, a language model can introduce errors and mistakenly filter out the intended words.

In practice, efficient customization of a language model is difficult.

Furthe...

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