Intermediate evaluation results of using Accurat machine translation in web authoring (for general public)

1. Machine
transla-on
in
web
authoring
Mateja
Verlič
Customized
Machine
Transla4on:
Pla7orm,
Tools
and
Applica4on
GALA2012
Workshop
Monte
Carlo
2012-­‐03-­‐25

2. •
2007
winners
Investment
from
Eden,
TAG,
Union
Square
Ventures
• Founders
&
masterminds
Boštjan
Špe-č,
CEO
Andraž
Tori,
CTO

3. Zemanta
authoring
assistant
• Accelera-ng
online
content
produc-on
and
enrichment
• Analyzing
text
and
recognizing
contextual
content
• Sugges-ng
related
content
for
inspira-on
and/or
inclusion

4. Zemanta
authoring
assistant

5. Our
role
in
Accurat

6. Demonstra-on

7. And
a
few
numbers…

8. THANK
YOU
FOR
YOUR
ATTENTION
The
research
within
the
project
LetsMT!
leading
to
these
results
has
received
funding
from
the
ICT
Policy
Support
Programme
(ICT
PSP),
Theme
5
–
MulElingual
web,
grant
agreement
no
250456.
The
research
within
the
project
ACCURAT
leading
to
these
results
has
received
funding
from
The
Seventh
Framework
Programme
(FP7),
Theme
ICT-­‐2009.2.2,
grant
agreement
no
248347.

9. “OFFLINE”
DEMO

10. What
we
have

11. What
we
do:
Accurat
MT
in
ac-on

12. What
we
want