More Questions Answered on How MT Helps Improve Translation Productivity (Part II)

Part II

Welcome to Part II of the Q&A blog on How Machine Translation Helps Improve Translation Productivity. In case you missed the first part of our post, here’s a link to quickly have a look at what was covered.

Tony O’Dowd, Chief Architect of KantanMT.com and Louise Faherty, Technical Project Manager presented a webinar where they showed how LSPs (as well as enterprises) can improve the translation productivity of the language team, manage post-editing effort estimations and easily schedule projects with powerful MT engines. For this section, we are accompanied by Brian Coyle, Chief Commercial Officer at KantanMT, who joined the team on October, 2015 to strengthen KantanMT’s strategic vision.

We have provided a link to the slides used during the webinar below, along with a transcript of the Q&A session.

Please note that the answers below are not recorded verbatim and minor edits have been made to make the text more accessible.

Question: We are a mid-sized LSP and we would like to know what benefits would we enjoy if we choose to work with KantanMT, over building our own systems from scratch? The latter would be cheaper, wouldn’t it?

Answer (Brian): Tony and Louise have mentioned a lot of features available in KantanMT – indeed, the platform is very feature-rich and provides a great user experience. But on top of that, what’s really underneath KantanMT is the fact that it has access to a massive computing power, which is what Statistical Machine Translation requires in order to perform efficiently and quickly. KantanMT has the unique architecture to help provide instant on-demand access at scale.

As Louise Faherty  mentioned, we are currently translating half a billion words per month and we have 760 servers deployed currently. So if you were trying to develop something yourself, it would be hard to reach this level of proficiency in your MT. Whilst no single LSP would probably need this total number of servers, to give you an idea of the cost involved, that kind of server deployment in a self-build environment would cost in the region of €25m.

We also offer 99.99% up time with triple data-centre disaster recovery. It would be very difficult and costly to build this kind of performance yourself.  Also, with this kind of performance at your client’s disposal, you can offer Customised MT for mission critical web-based applications such as eCommerce sites.

Finally, a lot of planning, thought, development hours and research has gone into creating what we believe is the best user interface and the platform for MT, which also has the best functionality set with extreme ease of integration in the market place. So, it would be difficult for you to start on your own and build your own system that would be as robust and high quality as KantanMT.com.

Question: Could you also establish KantanNER rules to convert prices on an eCommerce websites?

Answer (Louise Faherty ): Yes, absolutely! With KantanNER, you can also establish rules, convert prices and so on. The only limitation with that being is that the exchange range will of course fluctuate. But there could be options as well of calculating that information dynamically – otherwise you would be looking at a fixed equation to convert those prices.

KantanMT_ProductivityQuestion: My client does not want us to use MT because they have had bad experience in the past with Bing Translate – what would convince them to use KantanMT? How will the output be different?

Answer (Tony O’Dowd): One of things that you have to recognise in terms of using the KantanMT platform is that you are using MT to build customised machine translation engines. So you are not going to create generic engines (Bing Translate and Google Translate are generic engines). You would be building customised engines that are trained on the previous translations, glossaries that you clients have provided. You will also be using some of our stock engines that are relevant to your client’s domain.

So when you combine that, you get an engine that will mimic the translation style of your client. Indeed, instead of generic translation engines, you are using an engine that is designed to mirror the terminology and stylistic requirements of your client. If you can achieve this through Machine Translation, you will see that there is a lot less requirement for Post-Editing, and this is one of the most important things that drives away translators from using generic systems or broad-based systems and that’s why they choose customised systems. Clients and LSPs have tested the generic systems as well as customisable engines and found that cloud-based customisable MT add a value, which is not available on free, non-customisable MT platforms.

End of Q/A session

The KantanMT Professional Services Team would once again like to thank you for all your questions during the webinar and for sending in your questions by email.

Have more burning questions? Or maybe you would like to see the brilliant platform translate in a live environment? No problem! Just send an email to demo@kantanmt.com and we will take care of the rest.

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