Patent
1995-06-06
1998-04-07
Hofsass, Jeffery
395760, 395794, 395803, G06F 1720
Patent
active
057376174
ABSTRACT:
A computer-implemented method and system are provided for English text analysis. A file of a plurality of English sentences is received and submitted to a parser. A unified parse structure is generated by the parser for predefined ones of the English sentences. A plurality of predetermined critiquing rules are applied to each of the unified parse structures for identifying exceptions to recommended English. Identified exceptions together with related information are stored in an exception file. Then an interactive session with a user is performed utilizing the stored exception file.
REFERENCES:
patent: 4852003 (1989-07-01), Zamora
patent: 4868750 (1989-09-01), Kucera et al.
patent: 4954984 (1990-09-01), Kaijima et al.
patent: 4994966 (1991-02-01), Hutchins
patent: 5068789 (1991-11-01), Van Vliembergen
patent: 5181163 (1993-01-01), Nakajima et al.
patent: 5243520 (1993-09-01), Jacobs et al.
patent: 5289375 (1994-02-01), Fukumochi et al.
patent: 5299124 (1994-03-01), Fukumochi et al.
patent: 5338976 (1994-08-01), Anwyl et al.
Nyberg et al., The KANT Machine Translation System: A Brief Overview, 1992, pp. 1-6.
Cap Volmac Lingware Services, 1994, Cap Volmac, Utrecht, pp. 1-8.
Harshburger, et al., IBM Technical Disclosure Bulletin, 1986, pp. 5284-5286.
McCord et al., Natural Language Processing Within A Slot Grammar Framework, Jul. 3, 1991, pp. 229-277.
Bernth Arendse
McCord Michael Campbell
Tanabe Andrew Tsuneo
Hill Andrew
Hofsass Jeffery
International Business Machines - Corporation
Pennington Joan
LandOfFree
Method and system for English text analysis does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for English text analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for English text analysis will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-27010