| other,11-1-P05-1034,ak | machine translation </term> that combines <term> | syntactic information | </term> in the <term> source language </term> | #8850 We describe a novel approach to statistical machine translation that combines syntactic information in the source language with recent advances in phrasal translation. | |
| tech,21-1-P05-1034,ak | language </term> with recent advances in <term> | phrasal translation | </term> . This method requires a <term> source-language | #8860 We describe a novel approach to statistical machine translation that combines syntactic information in the source language with recent advances in phrasal translation . | |
| lr,3-3-P05-1034,ak | alignment component </term> . We align a <term> | parallel corpus | </term> , project the <term> source dependency | #8885 We align a parallel corpus , project the source dependency parse onto the target sentence, extract dependency treelet translation pairs, and train a tree-based ordering model. | |
| tech,27-4-P05-1034,ak | approach that incorporates the power of <term> | phrasal SMT | </term> with the linguistic generality available | #8938 We describe an efficient decoder and show that using these tree-based models in combination with conventional SMT models provides a promising approach that incorporates the power of phrasal SMT with the linguistic generality available in a parser. |
