Key opportunities include the transition to transformer-based neural models for higher accuracy & efficiency, integration with cloud workflows, and growing demand for content localization across ...

The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source ...

Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know—that the best translation of a word often ...

Google Translate is ten years old and in that time, it’s grown quite a bit and gotten increasingly accurate. However, Google made a giant step in improving translations earlier this year through the ...

As one of the most well known providers of global information content management, SDL spends a lot of time and energy ensuring their solution meets the needs of today's market. According to SDL CEO ...

Translation is the process of converting written or spoken content from one language to another while preserving its meaning. By automating and enhancing the translation process, artificial ...

MOUNTAIN VIEW, Calif. – In Google Inc.'s (GOOG) vision of the future, people will be able to translate documents instantly into the world's main languages, with machine logic, not expert linguists, ...