We have released Post-Edit Booster to streamline post-editing after machine translation.
"The same errors always come up during post-editing, and it's frustrating"
"Terms that don't need translation are always being translated, and I'm repeating the same corrections"
"There is a lot of program code, and I'm struggling with many symbol-related corrections"
Do you have any challenges like this in post-editing work?
What is Post-Edit Booster
・An automatic post-editing tool that detects and replaces style-related errors such as frequently occurring symbols and regular expressions in machine translation.
・A plugin for Trados.
・The search/replace conditions can be freely set by the user and are saved locally.
・It is possible to export/import this definition and share the search/replace definitions with the team.
Benefits of Using Post-Edit Booster
Benefit 1: Further Efficiency with Regular Expressions
In addition to simple string search and replace, advanced search and replace using regular expressions is also possible.
Benefit 2: You can start immediately because the work environment remains unchanged.
Once you install the plugin, "MTrans Post-Edit Booster" will appear on the TM/MT selection screen of Trados Studio, and you can use it immediately.
There are almost no changes from the traditional translation work environment, making it easy to implement.
Benefit 3: Ability to share definition files within the team
The replacement configuration files are managed locally. The export/import functionality of the configuration files allows you to share settings with team members, thereby streamlining the process of standardizing expressions within the team.
Free trial of Post-Edit Booster now available!
First, please try using our service and experience its ease of use.
We are currently offering a free trial (limited to 2 weeks).
Feel free to apply.
Post-Edit Booster Details Page
Post-Edit Booster Details Page
Post-Edit Booster Trial Application Form
Price
Standard Plan 24,000 yen/month
* Estimates will be provided individually based on the number of users and various conditions.
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