Machine Translation @ the NCLT & the CNGL
Dublin City University, Ireland
EuroMatrix+
Panacea
CoSyne
PLuTO
T4ME
Confident MT
-- completed projects --
Prospect
Attempt
Sign language
translation
Evaluation
Transbooster
DVD subtitling
LFG-DOP
EBMT & Marker
Hypothesis
DOP & DOT
Hybrid EBMT-SMT
| Title: | Prospect: Probabilistic Solutions to the Problems of Computerised Translation |  |
| Duration: | September 1st 2005 -- August 31st 2009 | |
| Funded by: | Science Foundation Ireland's Investigator Programme | |
| People: | Hany Hassan, Yanjun Ma, Mary Hearne, Nicolas Stroppa, Andy Way | |
| Collaboration: | Khalil Sima'an, University of Amsterdam | |
| Description: | Today, data-driven Natural Language Processing (NLP) is by far the predominant research paradigm in the field of NLP, and Machine Translation (MT) is no exception in this respect. The MT team at NCLT is a leading and recognized team in the field of data-driven MT, especially in Data-Oriented Translation (DOT) and Example-Based Machine Translation (EBMT). These approaches have been successfully applied to several European Languages (mainly English, French, and German). | |
| This project aims at (i) continuing this line of research from both a theoretical and practical point-of-view, (ii) adapting these approaches to Arabic<->English and Chinese<->English Machine Translation, for which we have seen a huge growth in demand for automation of the translation process. | ||
| Support: | ICHEC: Irish Centre for High-End Computing |  |