These translations gave rise to a number of automatically constructed linguistic resources : ( 1 ) the original ( source , target ) phrasal translation pairs , ( 2 ) the marker lexicon , ( 3 ) the gen11 Thanks are due to one of the anonymous reviewers for pointing out that our wEBMT system , seeded with input from multiple translation systems , with a postvalidation process via the Web ( amounting to an n-gram target language model ) , in effect forms a multiengine MT system as described by Frederking and Nirenburg ( 1994 ) , Frederking et al. ( 1994 ) , and Hogan and Frederking ( 1998 ) .
three heads are better than one
Robert Frederking Sergei Nirenburg
These phrases were then translated automatically by three on-line MT systems . These translations gave rise to a number of automatically constructed linguistic resources : ( 1 ) the original ( source , target ) phrasal translation pairs , ( 2 ) the marker lexicon , ( 3 ) the gen11 Thanks are due to one of the anonymous reviewers for pointing out that our wEBMT system , seeded with input from multiple translation systems , with a postvalidation process via the Web ( amounting to an n-gram target language model ) , in effect forms a multiengine MT system as described by Frederking and Nirenburg ( 1994 ) , Frederking et al. ( 1994 ) , and Hogan and Frederking ( 1998 ) . eralized lexicon , and ( 4 ) the word-level lexicon .
These translations gave rise to a number of automatically constructed linguistic resources : ( 1 ) the original ( source , target ) phrasal translation pairs , ( 2 ) the marker lexicon , ( 3 ) the gen11 Thanks are due to one of the anonymous reviewers for pointing out that our wEBMT system , seeded with input from multiple translation systems , with a postvalidation process via the Web ( amounting to an n-gram target language model ) , in effect forms a multiengine MT system as described by @@CITATION , Frederking et al. ( 1994 ) , and Hogan and Frederking ( 1998 ) .