News Express: UM holds Roundtable Seminar on Innovations in Interpreter Training in the Era of AI

新聞快訊:澳大舉辦AI時代口譯培訓改革與創新研討會

 

澳大舉辦AI時代口譯培訓改革與創新研討會
UM holds the Roundtable Seminar on Innovations in Interpreter Training in the Era of AI

 


澳大舉辦AI時代口譯培訓改革與創新研討會

澳門大學人文學院舉辦AI時代口譯培訓改革與創新圓桌研討會,來自海峽兩岸暨港澳地區的口譯專家、口譯教育家和技術開發專家共同聚焦人工智能時代口譯人才培養的最新發展。

澳大人文學院副院長李德鳳致辭時表示,人工智能的高度發展影響人們的工作與生活,是次圓桌研討會為與會者提供了一個非常良好的平台,討論及探索如何充分利用人工智能優化口譯培訓;並藉此次圓桌研討會對口譯範疇的未來發展進行具意義的討論及有見地的議論,以及共同研究具創新性的解決方法。

研討會設線上直播,包括12場口譯主題相關的報告,涵蓋教學與培訓、表現評價、論文寫作等領域,著眼研究成果、前線經驗分享、實例分析。每場報告完畢後,講者與與會者也就相關主題進一步交流、分享想法,更深入了解人工智能在口譯領域的應用與相關對策,獲益良多。

欲瀏覽官網版可登入以下連結:
https://www.um.edu.mo/zh-hant/news-and-press-releases/presss-release/detail/55861/


UM holds Roundtable Seminar on Innovations in Interpreter Training in the Era of AI

The University of Macau’s Faculty of Arts and Humanities (FAH) recently held a Roundtable Seminar on Innovations in Interpreter Training in the Era of AI. The event brought together interpreting experts, educators, and technology developers across the Greater China region to discuss the latest innovations in interpreter training in the era of artificial intelligence (AI).

In his opening remarks, Li Defeng, Associate Dean of the FAH, highlighted the rapid development of AI and how it has influenced people’s lives and work. The seminar provided an excellent platform to explore ways to leverage AI to enhance interpreting training and foster meaningful discussions, insightful debates, and innovative solutions.

The seminar, which was broadcast live, featured 12 speakers who discussed various topics related to interpreting, including teaching, training, performance assessment, and thesis writing, with a focus on research findings, hands-on experience, and case studies. The presentations were followed by discussions between the speakers and the audience on the application of AI in interpreting and related strategies.

To read the news on UM’s official website, please visit the following link:
https://www.um.edu.mo/news-and-press-releases/press-release/detail/55861/