Mikel L. Forcada, Mireia Ginestí-Rosell, Jacob Nordfalk, Jim O'Regan, Sergio Ortiz-Rojas, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Gema Ramírez-Sánchez, Francis M. Tyers
In this work, we present an extension of n-gram-based translation models based
on factored language models (FLMs). Translation units employed in the
n-gram-based approach to statistical machine translation (SMT) are based on
mappings of sequences of raw words, while translation model probabilities are
estimated through standard language modeling of such bilingual units. Therefore,
similar to other... hiện toàn bộ