Keynote Presentation: Implementing large scale Machine Translation in Patent Information

Duration: 31 minutes and 6 seconds

Year: 2009

Country: Thailand

Language: English

License: CC - Attribution Non-commercial No Derivatives

Genre: Instructional

Producer: Asia Online

Views: 324 (107 embedded)

Posted by: asiaonline on Dec 11, 2009

Localization and Translation Thailand 2009 Day 1 Keynote Presentation: Implementing large scale Machine Translation in Patent Information - Andrew Rufener, COO, LexisNexis Univentio Twitter: #LTBKK http://www.localizationandtranslation.com

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Good morning ladies and gentlemen
I would like first of all thank the organizers for giving me the opportunity to speak here
The honor to be able to kick off the conference with the keynote
As you can see I am going to be talking about the implementation of machine translation in a relatively large scale environment
And am going to look at it from an end-users perspective
So while I know the conference is going to talk about a lot of technical details on
machine translation and localization. This presentation is very much from an end users perspective.
From a large end-users perspective
With me today also is one of my team members
who also happens to be, by the way, the MT expert in my team
So if you have any specific questions later on
in the break, I would be very happy to introduce you and you will get all the details that you would like
With that let me go through and have a quick look at the agenda with you
So what I would like to talk about first of all is just give you a very quick introduction on who we are
no marketing slides don't worry
just to give you a bit of an appreciation of where we fit
and then go onto to talk about the challenges related to MT
from our perspective, how we had been dealing with MT in the past.
And how we are evolving our systems.
And a few comments on the remaining challenges that remain.
To give you a bit of an idea on who we are
Lexis Nexis is a name that you might not have heard before,
we are part of the Reed Elsevier group,
which is pretty large in scientific, medical, technical data
content providers, about 20,000 employees, 400 companies globally.
And Lexis Nexis is a strong player in business content, legal and patent information.
The organization I look after is very small.
We are a small part of the organization, but in the patent world we are a prime supplier of information.

Keynote Presentation: Implementing large scale Machine Translation in Patent Information

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