Messaging Translation Service Application Server for Cross-Platform Language Adaptation

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Solution Overview

Problem

Existing social network systems fail to seamlessly translate messages written in one language for posting across multiple social network sites, where recipients may speak different languages, and do not automatically adapt messages to the preferred language of individual users.

Innovation Solution

A Messaging Translation Service Application Server (MTS AS) determines the language preferences of social media servers and users, automatically translating messages into the appropriate languages for each social network site, using a communication interface and processor to request and send translations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If messages are posted in the original language to multiple social network sites simultaneously, then the message dissemination efficiency is improved, but the understanding and consumption of the message by recipients in different countries deteriorates

Engineering Contradiction:
Improvemessage dissemination efficiencyVSAvoidmessage understanding
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The message posting process is segmented into multiple language versions. Instead of posting one original message to all social networks, the system divides the message into multiple translations tailored to different target languages and regions, allowing each recipient group to receive content in their native language while maintaining simultaneous dissemination across all platforms

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A translation service intermediary is introduced between the message source and the social network platforms. This intermediary automatically translates the original message into multiple languages and distributes the translated versions to appropriate social networks, resolving the conflict between efficient simultaneous posting and language-appropriate delivery

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of information

If manual translation and posting is performed for each social network service, then the language appropriateness for each recipient is improved, but the operational complexity and time consumption deteriorates

Engineering Contradiction:
Improvemessage understandingVSAvoidtranslation and posting time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system performs preliminary translation of the message into multiple languages before distribution to social networks. By pre-translating the content and preparing language-specific versions in advance, the system eliminates the need for manual translation at the time of posting, significantly reducing the time and effort required while ensuring language appropriateness

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The translation service operates autonomously without requiring manual intervention for each posting instance. Once configured with target languages and social network mappings, the system automatically translates and distributes messages itself, freeing users from repetitive manual translation and posting tasks across multiple platforms

Inventive Principle:
Principle #25Self-service

Data Source

PatentEP2656564B1Messaging translation service application servers and methods for use in message translations
Publication Date: 2014.11.26 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • EP2656564B1 patent drawingFigure 1
  • EP2656564B1 patent drawingFigure 2
  • EP2656564B1 patent drawingFigure 2

AI summary

A method for message translation and a Messaging Translation Service Application Server (MTS AS) (124) are provided for translating messages exchanged with, and among, social network services alike Facebook Strade; and Tweeter Strade;. According to the invention, a message written in a first language (204) by a user (102) is received by a first social media network (124), which further obtains (210, 216, 218) from other social media network (s) (110, 108, 106) information related to a language used by therein. Then, the first social media network (124) requests translation (140) of the message from the first language into the language used by the other social network systems (110, 108, 106), and further sends (238, 244) the translated message (226) to the other social network systems (110, 108, 106).