微軟宣佈其研發的機器翻譯系統已達到人類水平大綱
A team of researchers from the Microsoft Research Asia and Research Redmond announced that, when reporting and translating general news between Chinese and English, its R&D machine translation system has reached the level of human professional translators.
由微軟亞洲研究院與雷德蒙研究院的研究人員組成的團隊近日宣佈，其研發的機器翻譯系統在通用新聞報道的中譯英測試中，達到了人類專業譯者水平。
This is the first ever system that could be on a par with human professionals in terms of quality and accuracy.
這是首個在新聞報道的翻譯質量和準確率上可以比肩人工翻譯的翻譯系統。
"This is a landmark achievement in the field of natural language processing," said Dr. Huang, who is responsible for Microsoft's voice, natural language and machine translation.
負責微軟語音、自然語言和機器翻譯工作的黃博士表示：“這是自然語言處理領域的一項里程碑式的成就。”
Microsoft's breakthrough, which takes the machine translation beyond the time of human amateur translators, has advanced seven years ahead of the expectations of numerous researchers.
微軟的這次突破，將機器翻譯超越人類業餘譯者的時間提前了整整7年，遠遠超出了衆多研究人員的預想。
Although the breakthrough is remarkable, Microsoft researchers also remind you that this doesn't mean that humans have completely solved the problem of machine translation, but we can only explain that we're closer to the machine.
雖然此次突破意義非凡，但微軟研究人員也提醒大家，這並不代表人類已經完全解決了機器翻譯的問題，只能說明我們離終極目標又更近了一步。
In order to be able to obtain a landmark breakthrough in Chinese-English translation, three research groups from the Microsoft Asian Research Institute and the Redmond Research Institute conducted joint innovation across the region and across the area of research.
爲了能夠取得中-英翻譯的里程碑式突破，來自微軟亞洲研究院和雷德蒙研究院的三個研究組，進行了跨越中美時區、跨越研究領域的聯合創新。
Finally, they find that our system is completely complementary, so that we can benefit from the system combination and ultimately achieve the goal of machine translation to the human level.
最後，他們發現我們的系統是完全互補的，因此可以從系統組合中獲益很多，最終實現機器翻譯達到人類水平的目標。
Based on AI，cloud-computing, smart corpus database and the ongoing development in neuromachine technology, neuromachine translation would be the mainstream media in insofar machine automation translation.
有了人工智能、雲計算、智能語料數據庫和正在研發當中的神經機器技術的加持，神經機器翻譯將會成爲今後的機器翻譯的絕對主流。
