REFORMATTING OF CONTEXT SENSITIVE DATA

• US 20160357732A1
• Filed: 10/28/2015
• Published: 12/08/2016
• Est. Priority Date: 06/05/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: HSU, YU-NING, LIAO, ELAINE IH, LIN, CHIH-YUAN, YU, CHENG-YU
• Granted Patent: US 11,244,122 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/5846 using extracted text
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/151 Transformation
• CPC Class Codes: G06F 40/263 Language identification
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/42 Data-driven translation
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: G06F 9/454 Multi-language systems; Localisation; Internationalisation
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/262 using context analysis, e.g. lexical, syntactic or semantic context

Abstract

A method for dynamically detecting and converting a context-sensitive information in a first language and a first format to a second language and a second format that is understandable to an end user based on a user-specified setting is provided. The method may use a built-in camera of a computing device to dynamically detect and capture an image frame of context-sensitive information. The method may use Optical character recognition (OCR), as well as contextual information such as GPS data available from a mobile computing device, to automatically translate and reformat the context-sensitive information in real-time so a user may understand it unambiguously.

Claims

1. A method for reformatting a text phrase, comprising:

capturing, by a computing device, a first text having a first format;

identifying a context of the first text based on the first format; and

converting the first text from the first format to a second format associated with the context.

2. The method of claim 1, further comprising:

identifying a first language associated with the first text; and

translating the first text from the first language to a second language.

3. The method of claim 1, wherein identifying the context is based on one or more of a location, format, abbreviation, sign, color, icon, currency symbol, date, time, cosmetic product batch number, notation specific to a social group, and metadata associated with the first text.

4. The method of claim 1, further comprising:

displaying the first text in the second format as an image on a display device of a computing device in real-time.

5. The method of claim 1, wherein converting the first text from the first format to the second format comprises:

searching a database to locate the second format that corresponds to the first format.

6. The method of claim 1, wherein identifying the context comprises:

searching a social database to find one or more texts having formats matching the first format;

identifying a first context corresponding to the one or more texts; and

determining the context of the first text based on the first context corresponding to the one or more texts.

7. The method of claim 1, further comprising:

capturing an image, of one or more of a label and a logo located within a defined proximity to the first text, with an image capturing device;

searching a social database to find one or more of labels and logos matching those in the captured image;

identifying a first context corresponding to the one or more matching labels and logos; and

determining the context of the first text based on the first context corresponding to the one or more matching labels and logos.

8. The method of claim 1, wherein the context is a date, and the first format is a date format in a first language, and the second format is a date format in a second language.

9. The method of claim 1, further comprising:

uploading the first text having the first format to a social network;

generating a query on the social network to seek inputs from a plurality of users on the social network to identify a first context corresponding to the first text based on the first format; and

determining the context of the first text based on the first context identified from inputs from the plurality of users.

10. The method of claim 1, further comprising:

uploading the first text having the first format to a social network;

generating a query on the social network to seek inputs from a plurality of users on the social network to identify a first context corresponding to the first text based on the first format;

determining the context of the first text based on the first context identified from inputs from the plurality of users; and

storing the context of the first text in a database.

11. The method of claim 1, wherein capturing the first text comprises:

receiving an image from an image capturing device; and

performing character recognition on the image to identify a text present within the image to generate a recognized character string comprising the first text.