Systems and Methods for Using a Program Schedule to Facilitate Modifying Closed-Captioning Text

Abstract

In one aspect, an example method involves: a computing device selecting a media program; the computing device accessing first data representing closed-captioning text that corresponds to the media program; accessing second data representing a program schedule of the selected media-program, wherein the program schedule comprises first text; the computing device selecting second text from among the first text; the computing device using the selected second-text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and the computing device outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.

What is claimed is: 
     
         1 . A method comprising:
 a computing device accessing closed-captioning text that corresponds to a media program;   the computing device accessing a program schedule of the media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program;   the computing device selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text;   the computing device using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and   the computing device modifying the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.   
     
     
         2 . The method of  claim 1 , wherein the second text comprises text included as part of a character-generator template. 
     
     
         3 . The method of  claim 1 , wherein selecting second text from among the first text comprises:
 the computing device extracting, from the first text, third text that satisfies one or more criterion; and   the computing device selecting, as the second text, the extracted third text.   
     
     
         4 . The method of  claim 3 , wherein the one or more criterion comprises a criterion that the third text comprises a proper noun. 
     
     
         5 . The method of  claim 1 , wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:
 modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and   using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.   
     
     
         6 . The method of  claim 1 , further comprising:
 the computing device outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term; and   the computing device receiving, via the user interface, the command, wherein the computing device modifies the closed-captioning text in response to receiving the command.   
     
     
         7 . The method of  claim 6 , wherein outputting, via the user interface, comprises outputting, via a display device. 
     
     
         8 . The method of  claim 1 , wherein the media program comprises a news program. 
     
     
         9 . A computing system comprising:
 one or more processors; and   a non-transitory, computer-readable medium having stored thereon program instructions that, when executed by the one or more processors, cause the computing system to perform a set of acts comprising:
 accessing closed-captioning text that corresponds to a media program; 
 accessing a program schedule of the media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program; 
 selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text; 
 using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and 
 modifying the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term. 
   
     
     
         10 . The computing system of  claim 9 , wherein the second text comprises text included as part of a character-generator template. 
     
     
         11 . The computing system of  claim 9 , wherein selecting second text from among the first text comprises:
 extracting, from the first text, third text that satisfies one or more criterion; and   selecting, as the second text, the extracted third text.   
     
     
         12 . The computing system of  claim 11 , wherein the one or more criterion comprises a criterion that the third text comprises a proper noun. 
     
     
         13 . The computing system of  claim 9 , wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:
 modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and   using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.   
     
     
         14 . The computing system of  claim 9 , the set of acts further comprising:
 outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term; and   receiving, via the user interface, the command, wherein the computing device modifies the closed-captioning text in response to receiving the command.   
     
     
         15 . A non-transitory computer-readable medium having stored thereon program instructions that when executed cause a computing device to perform a set of acts comprising:
 accessing closed-captioning text that corresponds to a media program;   accessing a program schedule of the media program, wherein the program schedule comprises first text, and wherein the program schedule is used to produce the media program by coordinating the use of various media content items in the media program;   selecting second text from among the first text, wherein the selected second text is different from the closed-captioning text;   using the selected second text to (i) identify a candidate misspelled-term within the closed-captioning text, and (ii) identify a candidate replacement-term for the candidate misspelled-term; and   modifying the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term.   
     
     
         16 . The computer-readable medium of  claim 15 , wherein the second text comprises text included as part of a character-generator template. 
     
     
         17 . The computer-readable medium of  claim 15 , wherein the act of selecting second text from among the first text further comprises:
 extracting, from the first text, third text that satisfies one or more criterion; and   selecting, as the second text, the extracted third text.   
     
     
         18 . The computer-readable medium of  claim 17 , wherein the one or more criterion comprises a criterion that the third text comprises a proper noun. 
     
     
         19 . The computer-readable medium of  claim 15 , wherein using the selected second text to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term comprises:
 modifying an electronic dictionary by adding the selected second text to the electronic dictionary; and   using the modified electronic dictionary to (i) identify the candidate misspelled-term within the closed-captioning text, and (ii) identify the candidate replacement-term for the candidate misspelled-term.   
     
     
         20 . The computer-readable medium of  claim 15 , the set of acts further comprising:
 outputting, via a user interface, a prompt requesting a command to modify the closed-captioning text by replacing the identified candidate misspelled-term with the identified candidate replacement-term; and   receiving, via the user interface, the command, wherein the computing device modifies the closed-captioning text in response to receiving the command.