I am Unbabel's CTO. Thanks for your comment. Our goal is exactly to use that feedback to improve our MT systems. We are currently outsourcing our MT, while training our own models (using Moses). Besides generating parallel text, the types of data we will be collecting (e.g. chain of editions performed by each editor on a task), will allow new and interesting algorithms to update the translation models.
I remember reading your NLP papers back in my academic days. Great work. One typo: in the https://www.unbabel.com/pricing/ page "from Portuguese to Portuguese can take some time".
There is currently a gray dot, which for the other languages is used to indicate that the source and destination language is the same. For Italian to Portuguese this is not the case. It should have one of the other colored icons.
We haven't found a good provider yet to do this properly for our use case, but SpeakerText, Koemei and VoiceBase are examples of companies that offer these functionalities.
Unfortunately SpeakerText doesn't offer non-post-processed prices, Koemei integrated it into their own product and VoiceBase didn't offer post-processing on request, which we would need for integration into our product.
Those formats don't accommodate for timestamps per spoken word though, which would be possible with machine transcription and which I would pay a premium for.
Good point, we are in the process of updating our homepage. Things have been moving so fast it is hard to keep up. In any case we currently offer translations in English, Portuguese, Spanish, Italian, French and Turkish. More languages to come soon.
