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US Jury Finds Ex-CIA Employee Guilty for Massive Theft of Information - WikiLeaks_我的网站

A | "Alleged WikiLeaks Vault 7 whistleblower Joshua Schulte found guilty on all counts in response to the embarrassing Vault 7 publication," WikiLeaks said via Twitter referring to a batch of classified US government information of sensitive nature stored in the so-called Vault 7.,Schulte has been on a trial for the second time after he was convicted by a jury on two counts in 2020 for contempt of court and for making false statements to the FBI. He was initially taken into custody in 2017.,Top prosecutor Damian Williams praised the verdict after it had been handed down by the presiding Manhattan judge.,‘F**k Your Top Secret!’: Trial Begins for Ex-CIA Employee Accused of ‘Vault 7’ Leak4 February 2020, 23:18 GMT,"[This was] one of the most brazen and damaging acts of espionage in American history," Williams said in a statement, underscoring that Schulte's revelations were the result of a grudge he held against the US spy agency.,As for Schulte, he has argued that he is being made out as a scapegoat for the CIA failures.,It was earlier believed that WikiLeaks co-founder Julian Assange would be charged for the Vault 7 leaks as well; however, time constraints and fear of exposing additional sensitive information has sidelined such an effort.,The Vault 7 leaks included instructions on how to compromise computer tools used by the CIA and then use said programs to spy on individuals. Programs included Skype and WiFi networks.。 世界上大约7000种已知的语言中,有将近一半的语言,也就是其中的十分之四是口耳相传,没有包含书面内容。

B | 这些无文字的语言给现代机器学习翻译系统带来了一个独特的问题,因为它们通常需要在翻译到新语言之前将口头语言转换为书面文字,并将文字还原为语音,但Meta公司已经通过其最新的开源语言AI进展解决了这个问题。作为Meta公司通用语音翻译器(UST)项目的一部分,该项目正致力于开发实时语音到语音的翻译,以便元宇宙居民能够更容易地进行互动(读作:互相进行性骚扰)。

C | 作为这个项目的一部分,Meta的研究人员研究了福建闽南话,这是一种散居在亚洲各地的无文字语言,也是台湾地区的主流语言之一。机器学习翻译系统通常需要大量可标记的语言例子,包括书面和口语来进行训练--这正是像闽南话这样的无文字语言所不具备的。

D | 为了解决这个问题,"Meta使用语音到单元的翻译(S2UT),将输入的语音直接转换为Meta以前开创的声学单元序列,"首席执行官马克-扎克伯格在周三的一篇博文中解释说。"然后,我们从这些单元生成波形。此外,UnitY被采用为双通解码机制,第一通解码器生成相关语言(普通话)的文本,第二通解码器创建单元。

E | ""我们利用普通话作为中间语言来建立伪标签,我们首先将英语(或上面说的闽南话)语音翻译成普通话文本,然后我们再翻译成闽南话(或英语)并将其加入训练数据。"目前,该系统允许讲福建话的人与讲英语的人交谈,尽管很生硬,且该模型一次只能翻译一个完整的句子。但扎克伯格相信,这项技术最终可以应用于更多语言,并将改进到提供实时翻译的程度。扎克伯格宣布,除了Meta已经从这个项目中开源的模型和训练数据外,该公司还将发布一个基于闽南话话语料库的首个语音翻译基准系统,以及"语音矩阵,一个用Meta的创新数据挖掘技术LASER挖掘的语音翻译大料库"。

F | 这个系统将使研究人员能够创建他们自己的语音到语音翻译(S2ST)系统。
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