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Introducing Amazon Translate Custom Terminology

aws.amazon.com

11–16 of 16 posts

Re: Introducing Amazon Translate Custom Terminology

#11
post #6

Earlier quoted context omitted.

We have four Amazon services on the front page of HN at time of posting, and another three on page 2. Prolific week for Amazon, or is this a targeted campaign?

AWS re:invent is going on which explains why a lot of amazon postings are on the site. It's their yearly conference where they announce all their new features

I agree I was simply responding to the question of why so many are there today. Definitely legit to question that particular accounts history.

Re: Introducing Amazon Translate Custom Terminology

#13

updated: looks like aws reintent happening.

We have four Amazon services on the front page of HN at time of posting, and another three on page 2. Prolific week for Amazon, or is this a targeted campaign?

Considering this account and the event going on, I'd say it is a mix of both.

Re: Introducing Amazon Translate Custom Terminology

#14
post #8

I wonder if this would be really good for expanding acronyms in a given context or for keeping proper nouns accurate. For instance "RDS" to "Relation Data Store". This is something that impacts systems ranging from Ruby on Rails plural to singular system (I forget what is used), you can define irregulars essentially. It's nice that you can now do the same for the translation. This may help conversation systems[1], es…

+1 for me, using Eno to check balances, pay bills, etc. is as easy as using the Capital One App. Really well done chatbot with real functionality.

Re: Introducing Amazon Translate Custom Terminology

#16

I know some professional translators who specialize in cleaning up machine-generated translations so that they have that 'native speaker' quality (Yes, including DeepL). I doubt Amazon Translate will help that much, if the goal is to reduce the use of a native speaker to clean up the generated translation.

You don’t necessarily need to eliminate them but make them more efficient (words/documents translated per translator per hour). If they were previously hand changing company specific terms and now they don’t have to, it’s a pretty big productivity win.
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