All posts tagged Let’sMT!

September 15, 2011

SemLab talk on SMT and News Sentiment Analysis at Multilingualweb meeting (W3C)

SemLab’s project director Thomas Dohmen will give a presentation on the benefits and problems of using Statistical Machine Translation for News Sentiment Analysis at the Multilingualweb workshop in Limerick, Ireland.

SemLab is a partner in the LetsMT project for machine translation of smaller European languages, such as Latvian, Danish, Dutch and Croatian. The resulting translation engines of the LetsMT project are showcased on SemLab’s Newssentiment.eu website once completed.

For more information, please visit:
Multilingual web
LetsMT
Newssentiment.eu

 

May 12, 2011

Positive evaluation of Let’sMT! project’s 1st year

SemLab and the other partners of the Let’sMT project have met in Luxembourg to present the results of the first year of the project.

Presentations were given for each of the work packages as well as a live demo of the already operational translation system, the translation widget and browser plugin.

The preliminary response from the evaluators was very positive and the project will continue as planned.

 

October 12, 2009

Semlab in Machine Translation project: Let’sMT!

Letsmt
Semlab had joined an international consortium of researchers, linguistic experts and software developers to create a system that automatically translates relatively small languages.

The focus in the project lies with small languages such as Latvian, Lithuanian, Croatian, etc. and one of the main methods that will be used is Statistical Machine Translation (SMT). SMT systems are built by analyzing huge volumes of parallel corpus and learning translation models from these data. This is particularly tricky with smaller languages since the available corpus data is much smaller.

The project aims at a.o. developing a widget or browser add-on that translates such small languages and is currently under evaluation at the European union.

For more information: Let’sMT! Project website