METHOD AND SYSTEM FOR DISTINGUISHING INSERTION AND REPLACEMENT OF TEXT

    公开(公告)号:JP2000284795A

    公开(公告)日:2000-10-13

    申请号:JP2000061542

    申请日:2000-03-07

    Applicant: IBM

    Abstract: PROBLEM TO BE SOLVED: To improve the total accuracy of voice recognizing processing related to a user by providing a step for monitoring an application program and a step for discriminating whether or not an erroneously recognized word in a test dictating one text correction input is to be corrected. SOLUTION: An operating system 24 and an audio text processor application 28 are monitored and all the changes or corrections executed by the user are identified (S52). Next, it is first discriminated whether or not a certain dictated text is displayed while being intensified or selected by the user (S54). In the case of YES, it is secondly discriminated whether or not a new text is inserted in the text displayed while being intensified by the user (S56). Then, it is discriminated whether the text displayed while being intensified is deleted or not (S58), and after cursor confirmation, it is discriminated whether the new text can be inserted in place of the deleted text or not (S62 and S64).

    METHOD AND SYSTEM FOR DISTINGUISHING BETWEEN TEXT INSERTION AND REPLACEMENT

    公开(公告)号:CA2297414A1

    公开(公告)日:2000-09-08

    申请号:CA2297414

    申请日:2000-01-28

    Applicant: IBM

    Abstract: In a computer speech dictation system, a method and system for automatically determining whether to update a language model based upon user amendments to text in a dictated word processing document. The method includes the steps of monitoring a user's textamending input to an application program for amending the dictated text and subsequently performing processing responsive to the monitoring step to determine whether the text-amending input corrects a misrecognized word in the dictated text. If the test amending input corrects a misrecognized word, the system updates a language model based upon the text which has been amended.

Patent Agency Ranking