So far, the public has been paying attention to simultaneous interpretation due to the emergence of “goddess translators” who convey China’s voice to the world. To promote The development of machine Simultaneous Translation technology, The 2nd Workshop on Automatic Simultaneous Translation, June 10-11, 2021, It opens online with the North American Chapter of the Association for Computational Linguistics (NAACL), an important conference in the field of natural language processing. The conference was co-hosted by Baidu, Google, Huawei and the University of Grenoble Alpes.
In recent years, machine simultaneous transmission has made great progress, but it still faces challenges such as speech recognition error propagation, poor robustness of translation model, data scarcity and imperfect evaluation system. Following the success of ACL’s first Conference on Machine simultaneous translation in 2020, this conference continues to invite experts and scholars in the field of machine translation and simultaneous translation from Baidu, Imperial College London, University of Washington, Chinese University of Hong Kong and other institutions to discuss the latest progress and outstanding challenges of machine simultaneous translation.
In addition to sharing, this seminar also held a concurrent machine transmission evaluation. Baidu released nearly 70 hours of speech speech translation data set BSTC (arxiv.org/abs/2104.03…) for this competition. For participants to conduct model training and testing, covering information technology, economy, culture, biology, art and other fields. The competition attracted many teams from the Chinese Academy of Sciences, Beijing Institute of Technology, Xiamen University, Ping an Technology and so on. At the workshop, the winning team will share their latest technology achievements and communicate online.
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