What is the translation of " SWIFTKEY " in Chinese?

Examples of using Swiftkey in English and their translations into Chinese

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I have chosen Swiftkey.
而我选择了Swift
The SwiftKey Services.
SwiftKey服务还.
Recently Microsoft have bought SwiftKey.
微软几年前收购了SwiftKey
Microsoft acquired SwiftKey for $250 million.
微软收购SwiftKey耗资2.5亿美元。
SwiftKey was acquired by Microsoft in 2016.
微软实际上在2016年收购了SwiftKey
Microsoft acquired SwiftKey for $250 million.
三年前微软以2.5亿美元的价格收购了SwiftKey。
SwiftKey has received many awards, including:.
SwiftKey获得过许多奖项,包括:.
People want to type faster, SwiftKey has done a great job in this area.
人们想要更快的打字速度,SwiftKey在这方面已经做得很完美了。
Swiftkey recently sold to Microsoft for $250m.
SwiftKey最近被微软以2.5亿美元的价格收购了。
Also a successful entrepreneur, spinning out SwiftKey(acquired by Microsoft) and iLexIR.
此外,他还是一位成功的企业家,SwiftKey(被微软收购),iLexIR和iTutoring。
SwiftKey keyboard finally comes to Windows 10 devices.
SwiftKey滑动键盘终于抵达Windows10设备.
Over 300 million people use the Android andiOS app, but SwiftKey has yet to find a reliable business model.
SwiftKey是一个拥有三亿用户的Android和iOS输入法应用,但它目前尚未找到一个可靠的商业模式。
When you use SwiftKey Services, we also collect device and usage data.
当你使用SwiftKey服务时,我们还会收集设备和使用情况数据。
I understand the appeal of this view, because I co-founded SwiftKey, a predictive-language software company that was bought by Microsoft.
我理解这种观点的吸引力,因为我是SwiftKey的联合创始人之一,这是一家被微软收购的预测性语言软件公司。
British Swiftkey company expert in the field of machine learning are also involved in this development.
另一家英国公司Swiftkey的机器认知方面的专家也参加了这一系统的开发。
A year before that it bought start-up SwiftKey, which has relied on AI to boost the capabilities of mobile virtual keyboard applications.
一年前,它收购了初创公司SwiftKey,该公司依靠人工智能来增强移动虚拟键盘应用程序的功能。
SwiftKey was first released as a beta in the Android Market on 14 July 2010, supporting seven languages.
SwiftKey首次发布测试版在安卓市场2010年7月14日支持七种语言。
In a survey conducted by London-based software developer SwiftKey media, over 1 billion items of text-based data were analyzed from users spread across 16 different languages.
伦敦软件开发商SwiftKeymedia进行的一项调查中,基于16种不同语言的用户中分析了超过10亿件基于文本的数据。
SwiftKey prediction technology learns from the way you use language to build a personalised language model.
SwiftKey预测技术从你使用语言的方式了解信息,以生成个性化的语言模型。
In a survey conducted by London-based software developer SwiftKey media, over 1 billion items of text-based data were analyzed from users spread across 16 different languages.
在进行的一项调查显示,伦敦的软件开发者swiftkey媒体,在基于文本的数据10亿项目从用户分布在16个不同的语言分析。
SwiftKey is a PCMag favorite custom keyboard for Android, though it's also available on iOS.
免费SwiftKey是一款适用于Android的PCMag最喜欢的自定义键盘,不过它也可以在iOS上使用。
Microsoft recently acquired SwiftKey, which analyzes data to predict what the user is going to type next.
微软最近还收购了SwiftKey,它能通过分析数据,来预测用户下一步要输入的内容。
The SwiftKey Services also include an optional cloud component called a SwiftKey Account.
SwiftKey服务还包括可选的云组件,称为“SwiftKey帐户”。
When you create a SwiftKey Account, Microsoft will also collect your email address and basic demographic data.
当你创建SwiftKey帐户时,Microsoft还将收集你的电子邮件地址和基本统计数据。
SwiftKey is the intelligent keyboard from Microsoft that learns your writing style, so you can type faster.
SwiftKey是微软的智能键盘,可以学习你的写作风格,因此你可以更快地打字。
This intelligence allows SwiftKey to offer you the most appropriate prediction or autocorrection based on the sentence being typed.
这种智能可以让SwiftKey为您提供最合适的预测,或根据已经输入的句子类型进行自动校正。
SwiftKey is always learning and adapting to match your unique way of typing- including your slang, nicknames, and emoji.
SwiftKey始终在学习和适应你独特的打字方式-包括俚语,昵称和表情符号。
Meanwhile, SwiftKey, which was already fairly popular prior to its acquisition by Microsoft, has a total of 159 million active users.
与此同时,SwiftKey在被微软收购之前已经相当受欢迎,共有1.59亿活跃用户。
The SwiftKey keyboard and model attempts to avoid collecting sensitive data, such as fields flagged as containing password or payment data.
SwiftKeyKeyboard和模型会试图避免收集敏感数据,例如标记为包含密码或付款数据的字段。
SwiftKey estimates that its users have saved nearly 10 trillion keystrokes, across 100 languages, saving more than 100,000 years in combined typing time.
SwiftKey估计,使用SwiftKey键盘的用户,总共省下近10兆次的点击,跨越100种语言,所有人加起来省下相当于至少10万年的打字时间。
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