Context based word prediction

Details Context based word prediction Context based word prediction

2011-03-22

2011-03-22

Sked, Matthew J (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S001000, C715S708000

Reexamination Certificate

active

07912700

ABSTRACT:
Context-based word prediction is provided. A software application utilizes words contained in an application document to provide context-based word prediction in the same or a related document. The software application creates an application defined data source and populates the data source with words occurring in a document. When the same or a related document is being edited via an input method, for example, typing, speech recognition, electronic handwriting, etc., a prediction engine presents candidate words from the application defined data source that match current text input, and the user may choose from the presented candidate words for automatic population into the document being edited. Information from the application defined data source may be transferred between computing devices, for example, between a mobile computing device and a desktop (non-mobile) computing device.

REFERENCES:
patent: 5377281 (1994-12-01), Ballard et al.
patent: 5390279 (1995-02-01), Strong
patent: 5467425 (1995-11-01), Lau et al.
patent: 5805911 (1998-09-01), Miller
patent: 5896321 (1999-04-01), Miller et al.
patent: 5907839 (1999-05-01), Roth
patent: 6204848 (2001-03-01), Nowlan et al.
patent: 6223059 (2001-04-01), Haestrup
patent: 6346894 (2002-02-01), Connolly et al.
patent: 6377965 (2002-04-01), Hachamovitch et al.
patent: 6578032 (2003-06-01), Chandrasekar et al.
patent: 6687697 (2004-02-01), Collins-Thompson et al.
patent: 6839667 (2005-01-01), Reich
patent: 6917910 (2005-07-01), Itoh et al.
patent: 6922810 (2005-07-01), Trower et al.
patent: 6970599 (2005-11-01), Longe et al.
patent: 7031908 (2006-04-01), Huang et al.
patent: 7111248 (2006-09-01), Mulvey et al.
patent: 7296223 (2007-11-01), Chidlovskii et al.
patent: 7630980 (2009-12-01), Parikh
patent: 7657423 (2010-02-01), Harik et al.
patent: 2003/0046073 (2003-03-01), Mori et al.
patent: 2004/0044422 (2004-03-01), Fux et al.
patent: 2004/0153975 (2004-08-01), Williams et al.
patent: 2005/0017954 (2005-01-01), Kay et al.
patent: 2005/0114770 (2005-05-01), Sacher et al.
patent: 2006/0173678 (2006-08-01), Gilbert et al.
patent: 2006/0190436 (2006-08-01), Richardson et al.
patent: 2006/0190447 (2006-08-01), Harmon et al.
patent: 2006/0259479 (2006-11-01), Dai
patent: 2006/0265208 (2006-11-01), Assadollahi
patent: 2006/0265648 (2006-11-01), Rainisto et al.
patent: 2008/0076472 (2008-03-01), Hyatt
patent: 2008/0306732 (2008-12-01), Ghenania et al.
patent: 2006185380 (2006-07-01), None
U.S. Office Action dated Apr. 2, 2009 cited in U.S. Appl. No. 11/704,111.
U.S. Office Action dated Feb. 2, 2010 cited in U.S. App. No. 11/704,111.
Chien, Jen-Tzung, “Association Pattern Language Modeling”, IEEE Transactions On Audio, speech, And Language Processing, V. 14, No. 5, Sep. 2006, pp. 1719-1728 http://ieeexplore.ieee.org/iel5/10376/35293/01677991.pdf?isNumber=&htry=1.
Johansen, A.S., Hansen, J.P., “Augmentative and Alternative Communication: The Future of Text on the Move”, The IT University of Copenhagen, Universal Access in the Information Society (UAIS), V. 5, No. 2, Aug. 2006, pp. 125-149, http://www.itu.dk/courses/U/E2005/forelaeningsslides/UAIS—Textonthemove.pdf.
Lieberman, et al., “Commonsense on the Go”, BT Technology Journal, V. 22, No. 4, Oct. 2004, pp. 241-252, http://alumni.media.mit.edu/˜tstocky/pubs/Lieberman.Faaborg.Espinosa.Stocky—BT04.pdf.
Vayrynen, Pertti, “Perspectives on the Utility of Linguistic Knowledge in English Word Prediction”, Date Nov. 19, 2005, 237 pages, http://herkules.oulu.fi/isbn951427850X/isbn951427850X.pdf.
Kenji Furuuchi , Kenichi Morimoto, U.S. Appl. No. 11/704,111, filed Feb. 8, 2007, “Predicting Textual Candidates”.
Komatsu, H., Takabayashi, S., Masui, T., “Corpus-based Predictive Text Input”, 6 pages.
Van Den Bosch, A., “Scalable classification-based word prediction and confusable correction”, TAL, V. 46—noFeb. 2005, pp. 39-63, ILK/Language and Information Science, Tilburg University, The Netherlands.
Carlson, A.J., Rosen, J., Roth, D., “Scaling Up Context-Sensitive Text Correction”, Department of Computer Science, University of Illinois at Urbana-Champaign, IAAI'01, Copyright 2001, American Association for Artificial Intelligence, 6 pages.
“EMU Manual Vienna University of Technology Institute “integrated study””, Copyright Vienna University of Technology, is-TU, Favoritenstrasse 11/029, A-1040 Vienna, Austria, Apr. 2006, 24 pages.
U.S. Office Action dated Oct. 7, 2009 cited in U.S. Appl. No. 11/704,111.
Notice of Allowance mailed May 21, 2010, in U.S. Appl. No. 11/704,111.

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