Pivot Translation

. We present an approach to the machine translation of French to Arabic in which we explain each of the different steps and some of the problems encountered at each …...

This paper describes efforts towards the development of an Arabic to Italian SMT system for the news domain. Since only very little parallel data are available for this language pair, …...

AbstractStatistical machine translation (SMT) requires a parallel corpus between the source and target languages. Although a pivot-translation approach can be applied to a language pair that does not have a …...

Pivot translation is a useful method for translating between languages with little or no parallel data by utilizing parallel data in an intermediate language such as En- glish. A popular …...

AbstractExploiting a common language as an auxiliary for better translation has a long tradition in machine translation and lets supervised learning-based machine translation enjoy the enhancement delivered by the well-used …...

AbstractComplex natural language applications such as speech translation or pivot translation traditionally rely on cascaded models. However,cascaded models are known to be prone to error propagation and model discrepancy problems. …...

AbstractFollowing recent advancements in multilingual machine translation at scale, our team carried out tests to compare the performance of multilingual models (M2M from Facebook and multilingual models from Helsinki-NLP) with …...

AbstractA multilingual translation model enables a single model to handle multiple languages. However, the translation qualities of unlearned language pairs (i.e., zero-shot translation qualities) are still poor. By contrast, pivot …...