This page was machine-translated and may differ from the original. View original

Systran to Host PNMT Showcase at AMTA 2018

Google 우선 소스Published2018.03.23 15:47
Experience the latest Systran solutions through our artificial neural network machine translation exhibition booth.
"We will support the growth of AI and neural network machine translation through continuous technological development."

Systran International announced that it participated in the 'Association for Machine Translation in the Americas 2018' (hereinafter referred to as AMTA 2018) held in Boston and presented its artificial neural machine translation technology (PNMT).

Systran operated a booth showcasing its cutting-edge on-premise and cloud-based neural machine translation (NMT) solutions, offering conference attendees the opportunity to experience its latest solutions. The company also provided government-level insights into commercial innovation through the integration of machine and translation memory systems, as well as open-source NMT tools for enterprises. We also discussed topics such as building OpenNMT models for production scale provision on Systran Enterprise Server and shared the latest insights on artificial neural machine translation.

Systran's PNMT is a representative artificial neural network translation engine that interprets sentences at the same level as a human speaker based on previously input translations and context-based language rules.

Dennis Gacho, CEO of Systran America, said, “PNMT is a technology that can perform fluent translation without losing the meaning of the entire sentence, unlike previous translation methods,” and explained, “It is an excellent technology that can attract the attention of experts in related fields with accuracy that reaches the level of human translation and the ability to process massive amounts of information.”

“As Systran celebrates its 50th anniversary this year, we have experienced many innovations,” said Ji Lucas, CEO of Systran. “We will continue to do our best to advance the fields of artificial intelligence and artificial neural network machine translation through continuous technological development.”
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.
김학준 기자