A methodology is presented for component-based machine translation (MT) evaluation through causal error analysis to complement existing global evaluation methods. Thismethodology ...
Producing machine translation (MT) for the many minority languages in the world is a serious challenge. Minority languages typically have few resources for building MT systems. Fo...
Abstract-- The V-BLAST (vertical Bell Labs layered Space-Time) architecture involves independent coding/decoding per antenna (layer) with equal rate and power per antenna and a fix...
DBMT is researched here in the context of future systems for the general public, where a monolingual author wants to translate into several languages. We have produced a complete ...
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...