ANALYZING MULTILINGUAL DIAGNOSTIC RECORDS

• US 20170148233A1
• Filed: 11/23/2015
• Published: 05/25/2017
• Est. Priority Date: 11/23/2015
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: RAJPATHAK, Dnyanesh G., DE, Soumen
• Granted Patent: US 10,062,222 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/284 Lexical analysis, e.g. tokenisation or collocates
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

A system and method of analyzing content of multilingual vehicle diagnostic records includes: determining a word window within a vehicle diagnostic record; identifying a pair or a tuple comprising parts, symptoms, or actions; generating a plurality of pairs or tuples comprising parts, symptoms, or actions; determining a frequency value for each pair or tuple; and comparing the determined frequency value with a predetermined threshold.

Claims

1. A method of analyzing content of multilingual vehicle diagnostic records, comprising the steps of:

(a) determining a word window within a vehicle diagnostic record;

(b) identifying a pair or a tuple comprising parts, symptoms, or actions;

(c) generating a plurality of pairs or tuples comprising parts, symptoms, or actions;

(d) determining a frequency value for each pair or tuple;

(e) comparing the determined frequency value with a predetermined threshold.

2. The method of claim 1, further comprising the step of identifying a focal word within the word window.

3. The method of claim 1, further comprising the step of deleting one or more pairs or tuples based on steps (d)-(e).

4. The method of claim 1, wherein the frequency value is obtained by determining the number of times the pairs or tuples appear in a trained database.

5. The method of claim 1, wherein step (c) further comprises generating the tuples based on content from the pairs.

6. A method of analyzing content of multilingual vehicle diagnostic records, comprising the steps of:

(a) identifying a focal word in a vehicle diagnostic record;

(b) determining a word window that includes the focal word;

(c) generating a plurality of unique pairs or tuples comprising parts, symptoms, or actions;

(d) determining a frequency value for each unique pair or tuple; and

(e) comparing the determined frequency value with a predetermined threshold.

7. The method of claim 6, further comprising the step of deleting one or more pairs or tuples based on steps (d)-(e).

8. The method of claim 6, wherein the pair or tuple comprising part, symptoms, or actions includes words found within the word window.

9. The method of claim 6, wherein the frequency value is obtained by determining the number of times the pairs or tuples appear in a trained database.

10. The method of claim 6, wherein step (c) further comprises generating the tuples based on content from the pairs.

11. A method of analyzing content of multilingual vehicle diagnostic records, comprising the steps of:

(a) classifying one or more words within a vehicle diagnostic record as a part, a symptom, or an action;

(b) identifying a focal word in the vehicle diagnostic record;

(c) determining a word window that includes the focal word;

(d) generating a plurality of unique pairs or tuples comprising parts, symptoms, or actions;

(e) determining a frequency value for each unique pair or tuple; and

(f) comparing the determined frequency value with a predetermined threshold.

13. The method of claim 11, wherein the frequency value is obtained by determining the number of times the pairs or tuples appear in a trained database.

14. The method of claim 11, wherein step (d) further comprises generating the tuples based on content from the pairs.

12. The method of claim 12, further comprising the step of deleting one or more pairs or tuples based on steps (e)-(f).