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 promise of instant, near-perfect machine translation is driving rapid adoption across enterprises, but a dangerous blind ...

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 ...

For language translation tasks, traditional machine translation systems like Google Translate and those based on Statistical Machine Translation (SMT) or Neural Machine Translation (NMT) have been ...

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 ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...