Output details
15 - General Engineering
University of Cambridge
HMM word and phrase alignment for statistical machine translation
These algorithms are implemented in the open source MTTK Toolkit, which has been downloaded by students and researchers world-wide for teaching and university research. Cambridge translation systems using MTTK are competitive in international evaluations of machine translation: as noted for another selected output, the authors had the top-scoring Arabic-English system at the NIST (USA) 2009 Open Machine Translation Evaluation, and were amongst the top French/Spanish-English systems at the 2010 FP-7 sponsored Workshop on Machine Translation. The core algorithms described have attracted commercial interest: they have been reimplemented in a distributed, `big data', setting by SDL Research, Cambridge.