Abstract
The ability to measure the quality of word
order in translations is an important goal
for research in machine translation. Current
machine translation metrics do not
adequately measure the reordering performance
of translation systems. We present
a novel metric, the LRscore, which directly
measures reordering success. The
reordering component is balanced by a
lexical metric. Capturing the two most important
elements of translation success in
a simple combined metric with only one
parameter results in an intuitive, shallow,
language independent metric.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Joint 5th Workshop on Statistical Machine Translation and MetricsMATR |
| Publisher | Association for Computational Linguistics |
| Pages | 327-332 |
| Number of pages | 6 |
| Publication status | Published - 2010 |