In the framework of the Tc-Star project, we analyze and propose a combination of two Statistical Machine Translation systems: a phrase-based and an N -gram-based one. The exhaustive analysis includes a comparison of the translation models in terms of efficiency (number of translation units used in the search and computational time) and an examination of the errors in each system's output. Additionally, we combine both systems, showing accuracy improvements.
REF analyze the impact of the beam size used in statistical machine translation (SMT) systems.
Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Computer Science