Classifying text via topical analysis, for applications to speech recognition
First Claim
Patent Images
1. An assignment device for processing an input text comprising a first word and a second word, the assignment device comprising:
- at least one computer programmed to implement a method comprising;
assigning word-class information to each of a plurality of words in the input text, including assigning first word-class information to the first word and second word-class information to the second word;
determining whether the first word-class information and the second word-class information appear within a predetermined distance of one another;
identifying, by using a mapping from combinations of word-class information to corresponding actions, an action associated with the combination of the first word-class information and the second word-class information; and
executing the identified action in response to determining that the first word-class information and the second word-class information appear within the predetermined distance of one another,wherein the first word-class information identifies the first word as being a member of a first category of semantically related member words and the second word-class information identifies the second word as being a member of a second category of semantically related member words.
5 Assignments
0 Petitions
Accused Products
Abstract
An assignment device (1) assigns word class information (WKI) to one or more words of text information (ETI). Based on word-class sequence information (WK-AI) formed from this assigned word class information (WKI), actions (A) are executed in order to notify the user of conflicts or to provide the user with background information (HI) relating to words in the text information (TT).
-
Citations
18 Claims
-
1. An assignment device for processing an input text comprising a first word and a second word, the assignment device comprising:
at least one computer programmed to implement a method comprising; assigning word-class information to each of a plurality of words in the input text, including assigning first word-class information to the first word and second word-class information to the second word; determining whether the first word-class information and the second word-class information appear within a predetermined distance of one another; identifying, by using a mapping from combinations of word-class information to corresponding actions, an action associated with the combination of the first word-class information and the second word-class information; and executing the identified action in response to determining that the first word-class information and the second word-class information appear within the predetermined distance of one another, wherein the first word-class information identifies the first word as being a member of a first category of semantically related member words and the second word-class information identifies the second word as being a member of a second category of semantically related member words. - View Dependent Claims (2, 3, 4, 5, 6)
-
7. A method for processing an input text comprising a first word and a second word, the method comprising:
-
using at least one computer to perform the acts of; assigning word-class information to each of a plurality of words in the input text, including assigning first word-class information to the first word and second word-class information to the second word; determining whether the first word-class information and the second word-class information appear within a predetermined distance of one another; identifying, by using a mapping from combinations of word-class information to corresponding actions, an action associated with the combination of the first word-class information and the second word-class information; and executing the identified action in response to determining that the first word-class information and the second word-class information appear within the predetermined distance of one another, wherein the first word-class information identifies the first word as being a member of a first category of semantically related member words and the second word-class information identifies the second word as being a member of a second category of semantically related member words. - View Dependent Claims (8, 9, 10, 11, 12)
-
-
13. At least one non-transitory computer readable medium which comprises sections of software code, executable by at least one computer, that when executed by the at least one computer cause the at least one computer to perform a method for processing an input text comprising a first word and a second word, the method comprising:
-
assigning word-class information to each of a plurality of words in the input text, including assigning first word-class information to the first word and second word-class information to the second word; determining whether the first word-class information and the second word-class information appear within a predetermined distance of one another; identifying, by using a mapping from combinations of word-class information to corresponding actions, an action associated with the combination of the first word-class information and the second word-class information; and executing the identified action in response to determining that the first word-class information and the second word-class information appear within the predetermined distance of one another, wherein the first word-class information identifies the first word as being a member of a first category of semantically related member words and the second word-class information identifies the second word as being a member of a second category of semantically related member words. - View Dependent Claims (14, 15, 16, 17, 18)
-
Specification