SYSTEM AND METHOD FOR LINGUISTIC TERM DIFFERENTIATION

• US 20170161257A1
• Filed: 02/20/2017
• Published: 06/08/2017
• Est. Priority Date: 05/02/2013
• Status: Abandoned Application

• Current Assignee: Intelligent Language, LLC
• Original Assignee: Intelligent Language, LLC
• Inventors: Smyros, Athena Ann, Smyros, Constantine
• Application Number:
  US15/437,297
• Publication Number:
  US 20170161257A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/10 Text processing natural language analysis G06F40/20; semantic analysis G06F40/30; processing or translation of natural language G06F40/40
• CPC Class Codes: G06F 40/253 Grammatical analysis; Style critique
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/35 Discourse or dialogue representation

Abstract

A representative system and method for linguistic differentiation comprises a computing device: receiving input data from a requestor; generating a plurality of term units from the input data, where the plurality of term units comprise of a first number of term units; identifying a plurality of differentiable terms of the plurality of term units, where the plurality of differentiable terms comprise a second number of term units; determining a differentiability score for each term unit of the plurality of term units; determining an input data score for the input data by evaluating a ratio of the second number of term units to the first number of term units; and transmitting, a plurality of differentiable term units to the requestor in order of their differentiability scores.

Claims

1. A method comprising:

receiving, by a computing device, an input;

generating, by the computing device, a plurality of term units (TUs) from the input, the plurality of TUs consisting of a first number of TUs;

identifying, by the computing device, a plurality of differentiable TUs of the plurality of TUs, the plurality of differentiable TUs consisting of a second number of TUs;

determining, by the computing device, a differentiability score for each term unit (TU) of the plurality of TUs, wherein the differentiability score indicates a substantially fixed meaning or a non-fixed meaning;

determining, by the computing device, an input score for the input by dividing the second number of TUs by the first number of TUs; and

transmitting, by the computing device, the plurality of differentiable TUs in differentiability-scored order.

2. The method of claim 1, wherein the input comprises a document, and the method is repeated for a plurality of documents.

3. The method of claim 2, further comprising prioritizing, by the computing device, the plurality of documents based on input score.

4. The method of claim 2, wherein the plurality of TUs comprises a set of topics, and further comprising prioritizing, by the computing device, the set of topics based on differentiable TUs of the set of topics.

5. The method of claim 1, wherein determining the differentiability score is based on a grammatical scheme or a functional scheme.

6. The method of claim 5, wherein:

the grammatical scheme comprises classification as a noun, a modifier, an adverb, or a verb; and

the functional scheme comprises classification based on a type of writing.

7. The method of claim 6 further comprising, producing, by the computing device, a topical analysis of the input based on the plurality of differentiable TUs.

8. The method of claim 6 further comprising, performing, by the computing device, a search of the input based on the plurality of differentiable TUs.

9. The method of claim 6, wherein the type of writing comprises a style of writing or a linguistic functional scope of the input.

10. The method of claim 1, wherein the computing device comprises a computer, a laptop computer, a personal computer, a server computer, a personal data assistant, a camera, a phone, a cell phone, a mobile phone, a smart phone, a tablet, a media server, a music player, a game box, a data storage device, a measuring device, a handheld scanner, a scanning device, a barcode reader, a point-of-sale (POS) device, a digital assistant, a desk phone, an Internet Protocol (IP) phone, a solid-state memory device, or a memory card.

11. A method comprising:

receiving, by a computing device, a document;

generating, by the computing device, a plurality of term units (TUs) from the document, wherein each term unit (TU) of the plurality of TUs comprises a word, a multi-word, a number, or a symbol, wherein the plurality of TUs consist of a plurality of differentiable TUs and a plurality of non-differentiable TUs, and the plurality of TUs consists of a first number of TUs;

identifying, by the computing device, the plurality of non-differentiable TUs, wherein each of the plurality of non-differentiable TUs comprises non-fixed meaning;

identifying, by the computing device, the plurality of differentiable TUs, wherein each of the plurality of differentiable TUs comprises substantially fixed meaning, and the plurality of differentiable TUs consists of a second number of TUs;

determining, by the computing device, a differentiability score for each TU of the plurality of TUs;

determining, by the computing device, a document score for the document by dividing the second number of TUs by the first number of TUs; and

transmitting, by the computing device, the plurality of differentiable TUs in order of differentiability score for each TU of the plurality of differentiable TUs.

12. The method of claim 11, wherein the method is repeated for a plurality of documents, and further comprising prioritizing, by the computing device, the plurality of documents based on document score.

13. The method of claim 12, wherein the plurality of TUs comprises a set of topics, and further comprising prioritizing, by the computing device, the set of topics based on differentiability scores of the plurality of TUs of the set of topics.

14. The method of claim 13, wherein determining the differentiability score is based on a grammatical scheme or a functional scheme.

15. The method of claim 14, wherein:

the grammatical scheme comprises classification as a noun, an adjective, a modifier, an adverb, or a verb; and

the functional scheme comprises classification based on a linguistic scope comprising at least one of a type of writing or a style of writing.

16. The method of claim 15, wherein the determining the differentiability score comprises providing a plurality of differentiability-scored TUs configured for use in a topical analysis of the plurality of documents.

17. The method of claim 15, wherein the determining the differentiability score comprises providing a plurality of differentiability-scored TUs configured for use in a search of the plurality of documents.

18. A computing device comprising:

one or more processors; and

a non-transitory, computer-readable medium storing a program that is executable by the one or more processors, the program comprising instructions to;

receive a document;

generate a plurality of term units (TUs) from the document, wherein each term unit (TU) of the plurality of TUs comprises a word, a multi-word, a number, or a symbol, the plurality of TUs consisting of a plurality of differentiable TUs and a plurality of non-differentiable TUs, the plurality of TUs consisting of a first number of TUs;

identify the plurality of non-differentiable TUs, wherein each of the plurality of non-differentiable TUs have a non-fixed linguistic meaning;

identify a plurality of differentiable TUs of the plurality of TUs, wherein each of the plurality of differentiable TUs have a fixed linguistic meaning, and the plurality of differentiable TUs consists of a second number of TUs;

determine a differentiability score for each TU of the plurality of TUs, wherein the differentiability score indicates a substantially fixed linguistic meaning or a non-fixed linguistic meaning;

determine a document score for the document, the document score based on a ratio of the second number of TUs to the first number of TUs; and

transmit the plurality of differentiable TUs in order of at least one of ascending differentiability score or descending differentiability score.

19. The computing device of claim 18, wherein the program further comprises instructions to prioritize a set of topics based on differentiability scores of TUs comprising the set of topics, wherein determination of the differentiability score is based on a grammatical scheme or a functional scheme, wherein:

the grammatical scheme comprises classification as a noun, an adjective, a modifier, an adverb, or a verb; and

the functional scheme comprises classification based on type of writing.

20. The computing device of claim 19, wherein:

the computing device comprises a computer, a laptop computer, a personal computer, a server computer, a personal data assistant, a camera, a phone, a cell phone, a mobile phone, a smart phone, a tablet, a media server, a music player, a game box, a data storage device, a measuring device, a handheld scanner, a scanning device, a barcode reader, a point-of-sale (POS) device, a digital assistant, a desk phone, an Internet Protocol (IP) phone, a solid-state memory device, or a memory card; and

the plurality of scored differentiable TUs are transmitted to a requestor, and the requestor is a human user, a process of the computing device, or a second computing device.