Smart Review

Smart Review

By Trados AppStore Team

Free

Description

The Smart Review app for Trados Studio serves as an automated linguistic review companion, rating segments as green or red, depending on their level of quality. You can use this rating and the explanations provided to decide whether to assess segments in more detail. To generate an assessment of your translation, Smart Review uses the Azure OpenAI Large Language Models (LLMs) such as gpt-4 or gpt-4o, while at the same time considering the terminology available.

Getting Support

Customers with an active Trados support contract are entitled to submit a support case for any issues related to this app through the support portal (Gateway). Customers without a support contract can seek assistance by raising their queries in the AppStore forums within the RWS Community, accessible via the support tab.

Technical details

1.4.1.3 - Trados Studio 2024

Changelog:

  • Enhanced score representation: the review score is now represented as two distinct labels. A score of 100 is indicated as a green label with “Translation is good enough” explanation, while scores below 100 are marked with a red label and an explanation of the error(s).
  • Historical evaluations: A historical representation of previous evaluations with Smart Review is now available in the plugin. This allows users to track and reference past review results.
  • Plugin renaming: The plugin’s name has been updated from “Trados Copilot- Smart Review” to simply “Smart Review”.
  • Improved results and explanations: The results and explanations returned by Smart Review have been improved for better clarity and usefulness.


Checksum: a0f81c23dc5cb89d8e93e1442f93cda6e1b86744f382a3d10992ac22b7294422

Release date: 2024-06-25

1.4.0.5 - Trados Studio 2024

Changelog:

  • Enhanced score representation: the review score is now represented as two distinct labels. A score of 100 is indicated as a green label with “Translation is good enough” explanation, while scores below 100 are marked with a red label and an explanation of the error(s).
  • Historical evaluations: A historical representation of previous evaluations with Smart Review is now available in the plugin. This allows users to track and reference past review results. Plugin renaming: The plugin’s name has been updated from “Trados Copilot- Smart Review” to simply “Smart Review”.
  • Improved results and explanations: The results and explanations returned by Smart Review have been improved for better clarity and usefulness.


Checksum: 12e4a8fc86f2099c9d4bc17a40bb17f14bdccc7b187d80e6acce8f82878ffa09

Release date: 2024-06-24

1.4.1.3 - Trados Studio 2024

  • Enhanced score representation: the review score is now represented as two distinct labels. A score of 100 is indicated as a green label with “Translation is good enough” explanation, while scores below 100 are marked with a red label and an explanation of the error(s).
  • Historical evaluations: A historical representation of previous evaluations with Smart Review is now available in the plugin. This allows users to track and reference past review results.
  • Plugin renaming: The plugin’s name has been updated from “Trados Copilot- Smart Review” to simply “Smart Review”.
  • Improved results and explanations: The results and explanations returned by Smart Review have been improved for better clarity and usefulness.



1.4.0.5 - Trados Studio 2024

  • Enhanced score representation: the review score is now represented as two distinct labels. A score of 100 is indicated as a green label with “Translation is good enough” explanation, while scores below 100 are marked with a red label and an explanation of the error(s).
  • Historical evaluations: A historical representation of previous evaluations with Smart Review is now available in the plugin. This allows users to track and reference past review results. Plugin renaming: The plugin’s name has been updated from “Trados Copilot- Smart Review” to simply “Smart Review”.
  • Improved results and explanations: The results and explanations returned by Smart Review have been improved for better clarity and usefulness.



The Smart Review app for Trados Studio serves as an automated linguistic review companion, rating segments as green or red, depending on their level of quality.

Segments evaluated by Smart Review carry a score represented by a colored, vertical line:

  • Green segments indicate high quality.
  • Red segments indicate low quality.

 

You can use this rating and the explanations provided to decide whether to assess segments in more detail. To generate an assessment of your translation, Smart Review uses the Azure OpenAI Large Language Models (LLMs) such as gpt-4 or gpt-4o while at the same time considering the terminology available.

 

 

Minimum requirements

  • Trados Studio 2024.
  • A Trados cloud account that is prepared for this capability.
  • A Microsoft Azure subscription with an OpenAI resource.

 

Getting the app

 

You can install the Smart Review app from:

  • Trados AppStore
  • From within Trados Studio via the Integrated AppStore

 

After installing the Smart Review app, you can select it in Trados Studio, from the Editor->View menu while editing or reviewing your translation.

 

Authentication within Trados Studio

 

To use the Smart Review app, you need to be connected to a Trados cloud account with a custom subscription (at the time of writing, this is based on Trados Enterprise, we will open this up for other subscriptions in future). Contact your Trados account manager for more information.

 

Specifying the Azure OpenAI API key

 

Your API key must be set up for the app to work. After obtaining the key and the other details from your Microsoft Azure subscription, contact your account manager to help with setting it up in your Trados account.

 

Data Transmission

Smart Review will transmit the source and target segments, including the prompt data, between Trados Studio and the Trados backend systems for statistics. RWS may use this data to further improve the algorithm.

 

Note that the Azure subscription is not provided by RWS and you need to observe also the Terms and Conditions for use of the configured Azure OpenAI: https://learn.microsoft.com/en-us/legal/cognitive-services/openai/data-privacy

Data, privacy, and security for Azure OpenAI Service - Azure AI services

This document details issues for data, privacy, and security for Azure OpenAI Service

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