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Method and System for Reorganizing Received Message Parts based on Natural Language Consistency

IP.com Disclosure Number: IPCOM000248998D
Publication Date: 2017-Jan-25
Document File: 2 page(s) / 39K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed that restores the original and intended order of the messages sent by utilizing natural language techniques.

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Method and System for Reorganizing Received Message Parts based on Natural Language Consistency

Lucrative text messaging plans, associated with service providers often offer unlimited text messaging, resulting in usage of text messaging applications by users similar to that of an instant messaging application. And more often than not, users end up sending a very large message which, due to the message length limitations, results in multiple smaller messages in quick succession rather than sending a single text message. Such messages end up arriving in an order quite different from the order in which the messages were sent, due to the intermittent data network. There exists a need for a system to reorganize message packets that are received out of order by a recipient.

Disclosed is a system and method that restores the original and intended order of the messages sent by utilizing natural language techniques.

Consider a scenario wherein a user composes a large message that is broken into multiple small messages that should be sent in a certain order to a recipient, while the recipient receives the messages in an order different from the original intended order. In accordance with method and system, in the first step, the multiple messages are appended in all possible combinations. For instance, three messages namely A, B and C would have 6 possible combinations namely ABC, ACB, CAB, CBA, BAC, and BCA. In the ensuing step, each combination of multiple messages in a particular order is run by a natural language processing tool to determine the probability of finding the correct order of reorganizing the multiple messages.

The system includes a cognitive module to identify language patterns of the messages, frequently used words, abbreviations, short substitutes for words, and word sequences, often specific to particular users. The cognitive system also enables the detection of potential errors based on the identified language patterns of the messages. The potential errors detected by the cognitive system may be, but are not limited to incomplete sentences, broken words, unknown words, tone d...