Alconost MQM Annotation Tool - Annotate translation errors, score quality, get PDF reports
Free MQM annotation tool for evaluating translation quality. Mark errors by category and severity, set custom weights, and export as CSV, TSV, JSON, or PDF. No installation and no signup required.
Replies
Kudos on your launch! What do you think, what's the real value of your tool for Localization Managers? The first thing I thought of was: If a company has a few loc. providers, a Localization Manager can use your tool for unbiased evaluation of their performance, then compare the scores and clearly see who performs best, what typical errors exist, etc. But are there any other use cases then? Cheers!
Alconost Localization Lab
@natalia_est yessss, you are right that using MQM-based evaluation in our tool helps choose the best provider
other use cases:
you can pick the best-performing AI engine to implement AI translations
researchers can use the annotated data as datasets for machine learning (Quality Evaluation models)
Hope this helps! ;)
Alconost Localization Lab
Hi everyone! 👋
I'm one of the makers behind this tool.
We built this because we saw how much time localization teams spend on quality evaluation using spreadsheets or complex research tools. Our goal was simple: make MQM annotation accessible to anyone who needs it, without setup or learning curve.
Happy to answer any questions about how the tool works or how it can fit into your workflow.
Alconost Localization Lab
Congrats, nicely done! Just tried it with a few segments. The error selection panel is intuitive, didn't need to read any documentation.
Alconost Localization Lab
@margarita_tsygankova Thank you Margarita, happy that you liked our tool! ☺️
Just wondering whether it supports some "complicated" languages like Arabic or maybe any of its dialects?
Alconost Localization Lab
Yes it does 😏 We’ve tried Arabic with our tools and everything works fine - see the GIFs below
Alconost Localization Lab
Useful tool! Congratulations on the launch guys 🚀
Alconost Localization Lab
@ksenia_khriptovich thank you, we'll do our best! 💪
The PDF report looks clean. Good for documenting quality issues when there's a dispute with a vendor!
Alconost Localization Lab
@nastassia_baravik1 thank you for your support! Yes, that's one of the use cases, and we've added PDF reports as a convenient way to share results with vendors or clients
Bookmarked. We've needed something like this for vendor evaluations.
Alconost Localization Lab
@yeshjain Thanks! Hope it will be useful in your work!
Would be great to see a short video walkthrough. I get the concept but would help to see the annotation workflow in action.
Alconost Localization Lab
@zedzima Not yet, but thanks for the suggestion! We may add a walkthrough video to the landing page later. In the meantime, try loading one of the pre-annotated samples. It lets you test the full workflow: source and target segments, error marking, severity levels, and the final report.
Nice work, team! I like how you can go segment by segment. Keeps things organized when you're dealing with a lot of text.