Natural Language Recognition Using Context Information

Abstract

A method of recognising digital ink input by a user into a computer-based digital ink recognition system is disclosed. The user interacts with a paper-based document. The paper-based document has disposed thereon coded data indicative of a particular field of the paper-based document and of at least one reference point of the paper-based document. An image sensor in a sensing device captures images of at least some of the coded data when the sensing device is placed in an operative position relative to the paper-based document. The sensing device then decodes at least some of the coded data to form indicating data indicative of the identity of the field of the paper-based document containing the coded data and at least one of a position and a movement of the sensing device relative to the paper-based document. A server receives the indicating data from the sensing device, and processes the indicating data using a recognizer residing on the server to produce intermediate format data. The intermediate format data is then transmitted to an application which decodes the intermediate format data into computer-readable format data using context information associated with the paper-based document.

1 . A method of recognising digital ink input by a user into a computer-based digital ink recognition system, the user interacting with a paper-based document, the paper-based document having disposed thereon coded data indicative of a particular field of the paper-based document and of at least one reference point of the paper-based document, the method including the steps of:
 capturing by an image sensor in a sensing device images of at least some of the coded data when the sensing device is placed in an operative position relative to the paper-based document;   decoding by the sensing device at least some of the coded data to form indicating data indicative of the identity of the field of the paper-based document containing the coded data and at least one of a position and a movement of the sensing device relative to the paper-based document;   receiving in a server the indicating data from the sensing device;   processing the indicating data using a recognizer residing on the server to produce intermediate format data;   receiving the intermediate format data in an application;   decoding the intermediate format data by the application into computer-readable format data using context information associated with the paper-based document.   
   
   
       2 . The method as claimed in  claim 1 , wherein the particular field of the paper-based document is associated with at least one zone of the paper-based document, and the method includes identifying the context information from the at least one zone. 
   
   
       3 . The method as claimed in  claim 1 , wherein the intermediate format data is a Directed Acyclic Graph (DAG) data structure. 
   
   
       4 . The method as claimed in  claim 3 , wherein the DAG data structure is a matrix containing the processing results of segments of the indicating data. 
   
   
       5 . The method as claimed in  claim 1 , wherein the intermediate format data includes segmented time-series classifier data. 
   
   
       6 . The method as claimed in  claim 1 , wherein the context information is a user dictionary. 
   
   
       7 . The method as claimed in  claim 1 , wherein the recognizer is trained for a specific user.