KantanOfficeMT™ Explained: Interview with Seosamh, Software Developer

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We are very excited to bring to our readers another new interview with one of our KantanMT Feature Developers. This time we interviewed Seosamh Ó Cinnéide, following the launch of KantanOfficeMT™. Seosamh is an Associate Software Development Engineer at KantanMT, and we asked him a few questions to find out more about the features and benefits of using KantanOfficeMT.
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KantanSnippet Explained: Interview with Conall Malone, Developer at KantanMT

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Last week we announced the launch of KantanSnippet™, a part of the KantanWidgets™ Suite of Productivity Apps. KantanWidgets allows KantanMT clients to integrate KantanMT technology within their own environments, including websites, Microsoft Office programs and supported browsers (Google Chrome, Safari and Firefox).

We interviewed the developer of KantanSnippet, Conall Malone to find out more about the features and benefits of KantanSnippet. Continue reading

MT Trend: Fully Automated Translation Workflows Become a Reality in 2016

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The age of automatic translation worlfow

The innovative Machine Translation features released by KantanMT, along with our contribution towards improving automated translation workflow has earned us the reputation for being thought leaders in the industry. A few months back, we released a white paper on what global companies can expect to see in 2016 for Machine Translation (MT).  Continue reading

Translation Automation in the Automotive Industry

Case Study: Automotive translation with WK Automotive
Case Study: Automotive translation with WK Automotive

The globalised make-up of the car industry, means automated translation is an important tool for those working in the automotive industry. KantanMT has helped clients use Machine Translation to efficiently translate technical documentation, motor part catalogues and how-to manuals, whilst automotive websites, such as ChromeData use KantanMT to translate content, so it can give detailed vehicle info and specifications for thousands of websites and dealerships around the globe.

The automotive industry has always been one of change. That change is leading to fundamental shifts in car technology and how users interact with them. In 2016, a typical car coming off the production line will contain 100 million lines of code. 20 million of those lines of code are required just to run a standard navigation and infotainment system. This increasing complexity inevitably leads to increasing level of customisation.

Changing Automotive Industry

While technology continues to advance, car manufacturers are increasingly looking at it as an area of differentiation. As manufacturers explore ways of delivering superior performance, implementing software that can be updated regularly, similar to that of a mobile phone, will enter mainstream usage in our cars. Technology centric car companies such as Tesla are already utilising such conveniences and it is inevitable more will follow.

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A Trip down Memory Lane: KantanMT in 2015

KantanMT Year in ReviewWhile chatting over a mouthful of mince pies, some tourtière and a few classy glasses of mulled wine this week, we at KantanMT were suddenly struck by the realisation that 2015 was perhaps one of the most sensational, successful and eventful years for us in the company! And the fact is, we can’t wait to start working on everything that we have planned for 2016 – we are certain that the new year is going to be even more exciting for us.

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All your Burning Questions Answered! How Machine Translation Helps Improve Translation Productivity (Part I)

Part I

We had so many questions during the Q&A in our last webinar session ‘How to Improve Translation Productivity‘ by the KantanMT Professional services team, that we decided to split the answers into two blog posts. So, if you don’t find your questions answered here, check out our blog next week for the remaining answers. 

KantanMT_ComputersInternet today is experiencing what is generally referred to as a ‘content explosion!’ In this fast-paced world, businesses have to strive harder and do more to stay ahead of the game – especially if they are a global business or if they have globalization aspirations. One fool-proof way in which a business can successfully go global is through effective localization. Yet, the huge amount of content available online makes human translation for everything almost impossible. The only viable option then in today’s competitive online environment is through the use of Machine Translation (MT).

On Wednesday 21st October, Tony O’Dowd, Chief Architect of KantanMT.com and Louise Faherty, Technical Project Manager at KantanMT presented a webinar where they showed how Language Service Providers (LSPs)  (as well as enterprises) can improve the translation productivity of the team, manage post-editing effort and easily schedule projects with powerful MT engines. Here is a link to the recording of the webinar on YouTube along with a transcript of the Q&A session.

The answers below are not recorded verbatim and minor edits have been made to make the text more readable.

Question: Do you have clients doing Japanese to English MT? What are the results, and how did you get them? (i.e., do you pre-process the Japanese?)

Answer (Tony O’Dowd): English to Japanese Machine Translation (MT) has indeed always posed a challenge in the MT industry. So is it possible to build a high quality, high fidelity MT system for this language combination? Well, there have been quite a few developments recently to improve the prospect of building effective engines in this language combination. For example, one of the latest changes we made on the KantanMT platform for improving the quality of MT is by using new and improved reordering models to make the translation from English to Japanese and Japanese to English much smoother, so we deliver a higher quality output. In addition to that, higher quality training data sets are now available for this language pair, compared to a couple of years ago, when I had started building English to Japanese engines. Back then it was really challenging. It is still requires some effort to build English to Japanese MT engines, but the fact that there’s more content available in these languages makes it slightly easier for us to build high-quality engines.

We are also developing example-based MT for these engines and it so far this is showing encouraging signs of improving quality for this language pair. However, we have not started deploying this development on the platform yet.

KantanMT note: For more insights into how you can prepare high-quality training data, read these tips shared by Tony O’Dowd, and Selçuk Özcan, co-founder of Transistent Language Automation Services during the webinar ‘Tips for Preparing Training Data for High Quality MT.’

Question: Have you got a webinar recorded or scheduled, where we could see how the system works hands-on?

Answer (Tony O’Dowd): If you go on to the KantanMT website, we have video links on the product features pages. So you can actually watch an explanation video while you are looking at the component.

We work in a very visual environment, and we think videos are a great way of explaining how the platform works. And, if you go on to the website, on the bottom left corner of the page, you will find our YouTube channel, which contains videos on all sorts of topics, including how to build your first enginehow to translate your first document and  how to improve the output of your engines.

If you click on the Resources menu on our site, you can access a number of tutorials that will talk you through the basics of Statistical Machine Translation Systems. In other words, explore the website and you should find what you need.

KantanMT note: Some other useful links for resources are listed below:

Question: Do you provide any Post-Editing recommendations or standards for standardising the PE process? You said translation productivity rose to 8k words per day – this is only PE, correct?

Answer (Tony O’Dowd): I will take the second question first! The 8,000 words per day is the Post-Editing (PE) rate, yes. It is not the raw translation rate. In Machine Translation, everything comes out pretranslated. So this number refers to the Post-Editing effort – like insertions, deletions, substitution of words, and so on that you need to do to get the content to publishable quality.

Louise Faherty: What we recommend to our clients is that when it comes to PE, they should try to use MT. A lot of translators who are new to using MT will try and translate manually, which is a natural tendency, of course. But what we advise our clients is to copy and paste the translation (MT) in the engine and use the MT. The more you use MT and the more you Post-Edit, the better your engine will become.

Tony O’Dowd: I will add something to Louise Faherty ’s comments there. The best example of PE recommendations that I have come across is provided by a group called TAUS. They are at the pivot of educating the industry on how to develop a proficiency in PE.

Subscribe to TAUS YouTube channel here.

Question: What do ‘PPX’ and ‘PEX’ stand for (as abbreviations)?

Answer (Louise Faherty  and Tony O’Dowd): PEX stands for Post-Editing Automation. PEX allows you to take the output of an MT engine and dynamically alter that. When would you need to use PEX? Suppose there is a situation where your engine is repeating the same error over and over again. What you can do in such cases is write a PEX file (developed in the GENTRY programming language). This allows the engine to look for patterns in the output of the engine and to dynamically change that in the output.

For example, one of our French clients did not want to have a space preceding a colon mark in the output of their MT (because this was one of their typographical standards and repeated throughout the content). So we wrote a PEX rule that forced a stylistic change in the output of the engine. This enabled the client to reduce the number of Post-Edits substantially.

PPX stands for Preprocessor automation. You can use PPX files for to normalise or improve the training data. It is based on our GENTRY programming language which is available to all our clients for free.

In short then, PPX is for your training data, while PEX is for the actual raw output of your engine.

For more questions and answers, stay tuned for the next part of this post!

Free Webinar: How Machine Translation Improves Translation Productivity

KantanMT Quick to deploy Machine TranslationIf you are in the language service industry, you are undoubtedly on the lookout for ways in which you can improve the productivity of your team – more translated words in less time – that’s what drives your clients as well as you. Automated Machine Translation (MT) seems to be the logical step forward in today’s world of content explosion and tightening deadlines. However, for most Language Service Providers (LSPs), the challenge lies in the actual implementation of this sophisticated technology.

For this reason, it is important that no matter what translation management tools you use, it should be integrated with a powerful MT engine that is reliable, scalable, flexible, and can be trained and re-trained constantly for maximum efficiency and quick turnaround times.

In today’s fast-paced world of content explosion on the Internet, the need for translating this organically growing content with the help of machines has become inevitable. While post-editing the machine translated content will always be required, choosing the right MT features will ensure that translators do not spend countless frustrating hours on those edits.

In this Kantanwebinar, The KantanMT Professional Services Team, Tony O’Dowd and Louise Faherty (Quinn) will show how you can improve the translation productivity of your team, and manage effort estimations and project deadlines better with a powerful MT engine.

During this webinar you will learn:

  • Translation challenges (co-ordinating and managing translation projects)
  • About the necessity of Machine Translation to be competitive
  • How KantanMT.com can be integrated with other Translation Management Systems

Register for KantanWebinar

To find out how KantanMT.com can improve your company’s translation productivity, send an email to demo@kantanmt.com