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1. 发明授权

US11222185B2 Lexicon development via shared translation database 有权
公开(公告)号：US11222185B2
公开(公告)日：2022-01-11
申请号：US15694733
申请日：2017-09-01
申请人： Facebook, Inc.
发明人： Alexander Waibel , Ian R. Lane
IPC分类号： G06F40/58 , G10L13/00 , G10L15/06 , G10L15/22 , G10L15/26 , G06F40/44
摘要： A speech translation system and methods for cross-lingual communication that enable users to improve and customize content and usage of the system and easily. The methods include, in response to receiving an utterance including a first term associated with a field, translating the utterance into a second language. In response to receiving an indication to add the first term associated with the field to a first recognition lexicon, adding the first term associated with the field and the determined translation to a first machine translation module and to a shared database for a community associated with the field of the first term associated with the field, wherein the first term associated with the field added to the shared database is accessible by the community.

2. 发明授权

US10331794B2 Hybrid, offline/online speech translation system 有权
公开(公告)号：US10331794B2
公开(公告)日：2019-06-25
申请号：US15249068
申请日：2016-08-26
申请人： Facebook, Inc.
发明人： Naomi Aoki Waibel , Alexander Waibel , Christian Fuegen , Kay Rottmann
IPC分类号： G06F17/28 , G10L13/00 , G10L13/02 , G10L15/30
摘要： A hybrid speech translation system whereby a wireless-enabled client computing device can, in an offline mode, translate input speech utterances from one language to another locally, and also, in an online mode when there is wireless network connectivity, have a remote computer perform the translation and transmit it back to the client computing device via the wireless network for audible outputting by client computing device. The user of the client computing device can transition between modes or the transition can be automatic based on user preferences or settings. The back-end speech translation server system can adapt the various recognition and translation models used by the client computing device in the offline mode based on analysis of user data over time, to thereby configure the client computing device with scaled-down, yet more efficient and faster, models than the back-end speech translation server system, while still be adapted for the user's domain.

3. 发明授权

US10007663B2 Training statistical speech translation systems from speech 有权
公开(公告)号：US10007663B2
公开(公告)日：2018-06-26
申请号：US14530427
申请日：2014-10-31
申请人： Facebook, Inc.
发明人： Alexander Waibel , Matthias Paulik
IPC分类号： G06F17/27 , G06F17/28 , G10L15/00
CPC分类号： G06F17/289 , G06F17/275 , G06F17/2785 , G06F17/2818 , G10L15/005
摘要： An iterative language translation system includes multiple communicatively connected statistical speech translation systems. The system includes an automatic speech recognition component adapted to recognize spoken language in a source language and to create a source language hypothesis. A machine translation component is adapted to translate the source language hypothesis into a target language. The system also includes a second automatic speech recognition component and second machine translation component. The translation results are used to adapt the automatic speech recognition components and the language hypotheses are used to adapt the machine translation components.

4. 发明申请

US20180089178A1 MINING MULTI-LINGUAL DATA 审中-公开
公开(公告)号：US20180089178A1
公开(公告)日：2018-03-29
申请号：US15823492
申请日：2017-11-27
申请人： Facebook, Inc.
发明人： Matthias Gerhard Eck , Ying Zhang , Yury Andreyevich Zemlyanskiy , Alexander Waibel
IPC分类号： G06F17/28 , G06F17/30
CPC分类号： G06F17/289 , G06F16/951 , G06F17/2818 , G06F17/2827
摘要： Technology is disclosed for mining training data to create machine translation engines. Training data can be mined as translation pairs from single content items that contain multiple languages; multiple content items in different languages that are related to the same or similar target; or multiple content items that are generated by the same author in different languages. Locating content items can include identifying potential sources of translation pairs that fall into these categories and applying filtering techniques to quickly gather those that are good candidates for being actual translation pairs. When actual translation pairs are located, they can be used to retrain a machine translation engine as in-domain for social media content items.

5. 发明授权

US09524295B2 Simultaneous translation of open domain lectures and speeches 有权
公开(公告)号：US09524295B2
公开(公告)日：2016-12-20
申请号：US14797045
申请日：2015-07-10
申请人： Facebook, Inc.
发明人： Alexander Waibel
IPC分类号： G06F17/28 , G06F17/20 , G10L15/00 , G10L15/26 , G10L13/00 , G10L21/00 , G10L25/00 , G10L15/04 , G10L15/22
CPC分类号： G06F17/289 , G06F17/28 , G06F17/2818 , G10L15/005 , G10L15/04 , G10L15/18 , G10L15/26 , G10L15/265 , G10L2015/226
摘要： Speech translation systems and methods for simultaneously translating speech between first and second speakers, wherein the first speaker speaks in a first language and the second speaker speaks in a second language that is different from the first language. The speech translation system may comprise a resegmentation unit that merge at least two partial hypotheses and resegments the merged partial hypotheses into a first-language translatable segment, wherein a segment boundary for the first-language translatable segment is determined based on sound from the second speaker.

6. 发明授权

US09430465B2 Hybrid, offline/online speech translation system 有权
标题翻译：混合式，离线/在线语音翻译系统
公开(公告)号：US09430465B2
公开(公告)日：2016-08-30
申请号：US13915820
申请日：2013-06-12
申请人： Facebook, Inc.
发明人： Naomi Aoki Waibel , Alexander Waibel , Christian Fuegen , Kay Rottman
IPC分类号： G06F17/28 , G10L13/00 , G10L15/30
CPC分类号： G06F17/289 , G10L13/00 , G10L13/02 , G10L15/30
摘要： A hybrid speech translation system whereby a wireless-enabled client computing device can, in an offline mode, translate input speech utterances from one language to another locally, and also, in an online mode when there is wireless network connectivity, have a remote computer perform the translation and transmit it back to the client computing device via the wireless network for audible outputting by client computing device. The user of the client computing device can transition between modes or the transition can be automatic based on user preferences or settings. The back-end speech translation server system can adapt the various recognition and translation models used by the client computing device in the offline mode based on analysis of user data over time, to thereby configure the client computing device with scaled-down, yet more efficient and faster, models than the back-end speech translation server system, while still be adapted for the user's domain.
摘要翻译：一种混合语音翻译系统，其中无线使能的客户端计算设备可以在离线模式下将输入语音话语从一种语言本地转换为另一种语言，并且还可以在存在无线网络连接的在线模式中具有远程计算机执行翻译并经由无线网络将其发送回客户端计算设备，以便客户端计算设备进行声音输出。客户端计算设备的用户可以在模式之间切换，也可以根据用户偏好或设置自动切换。后端语音翻译服务器系统可以基于用户数据随时间的分析，在离线模式下适应客户端计算设备所使用的各种识别和翻译模型，从而使客户端计算设备按比例缩小但更有效率而且比后端语音翻译服务器系统的模型更快，同时仍然适应用户的领域。

7. 发明申请

US20160170973A1 INCORPORATION OF USER-PROVIDED NATURAL LANGUAGE TRANSLATIONS IN A SOCIAL NETWORKING SYSTEM 有权
标题翻译：在社交网络系统中使用用户提供的自然语言翻译
公开(公告)号：US20160170973A1
公开(公告)日：2016-06-16
申请号：US14567941
申请日：2014-12-11
申请人： Facebook, Inc.
发明人： Ying Zhang , Alexander Waibel
IPC分类号： G06F17/28
CPC分类号： G06F17/289 , G06Q50/01
摘要： A social networking system determines whether a particular user is qualified to provide translations of text from a first language to a second language. The determination may include evaluation of the language competencies of the user, and also of the trustworthiness of the user as a translator, as determined based on prior translations submitted by the user. The social networking system also selects translations of a text item for a user to whom that text is to be shown. When evaluating a candidate translation for presentation to the user, the evaluation may assess factors such as the determined qualification as a translator of the user who provided the candidate translation; a quality score of the candidate translation itself; and/or the similarity of the user viewing the content and the user providing the candidate translation.
摘要翻译：社交网络系统确定特定用户是否有资格提供从第一语言到第二语言的文本翻译。确定可以包括对用户的语言能力的评估，以及基于用户提交的先前翻译所确定的用户作为翻译者的可信度。社交网络系统还为要显示该文本的用户选择文本项目的翻译。在评估候选翻译以呈现给用户时，评估可以评估诸如确定的资格作为提供候选翻译的用户的翻译者的因素; 候选人翻译本身的质量得分; 和/或观看内容的用户和提供候选翻译的用户的相似性。

8. 发明申请

US20150254238A1 System and Methods for Maintaining Speech-To-Speech Translation in the Field 审中-公开
标题翻译：维系语言到语音翻译的系统和方法
公开(公告)号：US20150254238A1
公开(公告)日：2015-09-10
申请号：US14722013
申请日：2015-05-26
申请人： Facebook, Inc.
发明人： Alexander Waibel , Ian R. Lane
IPC分类号： G06F17/28
CPC分类号： G06F17/289 , G06F17/2765 , G06F17/2785 , G06F17/2818 , G10L13/00 , G10L15/26
摘要： Extensions to an apparatus for speech translation improve the effectiveness of communication. An apparatus for speech translation capable of repairing errors and expanding its vocabulary. System and methods improve the ease by which common, linguistically untrained users can better recover from errors, extend and customize the language coverage of their speech translation device and increase the speed of effective communication, including stopping translation by shaking, correction of pronunciations using pseudo phonetics, translation favorites, translation modes, small dictionary based on user repair and boosting, single action speech translators, speech translation dialog language learning, translation from telephone conversations, targeted ads based on translated speech, backchanneling based on speech, and web presentation based on speech.
摘要翻译：用于语音翻译的设备的扩展提高了通信的有效性。一种用于语音翻译的装置，能够修复错误并扩展其词汇。系统和方法提高了常见的语言未经训练的用户能够更好地从错误中恢复，扩展和定制其语音翻译设备的语言覆盖面并提高有效沟通的速度，包括通过摇动停止翻译，使用伪语音学校正发音的轻松，翻译收藏，翻译模式，基于用户修复和提升的小词典，单行动语音翻译，语音翻译对话语言学习，电话对话翻译，基于翻译语音的有针对性的广告，基于语音的反向链接和基于语音的网络呈现。

9. 发明申请

US20140337007A1 HYBRID, OFFLINE/ONLINE SPEECH TRANSLATION SYSTEM 有权
标题翻译：混合，离线/在线语音翻译系统
公开(公告)号：US20140337007A1
公开(公告)日：2014-11-13
申请号：US13915820
申请日：2013-06-12
申请人： Facebook, Inc.
发明人： Naomi Aoki Waibel , Alexander Waibel , Christian Fuegen , Kay Rottmann
IPC分类号： G06F17/28
CPC分类号： G06F17/289 , G10L13/00 , G10L13/02 , G10L15/30
摘要： A hybrid speech translation system whereby a wireless-enabled client computing device can, in an offline mode, translate input speech utterances from one language to another locally, and also, in an online mode when there is wireless network connectivity, have a remote computer perform the translation and transmit it back to the client computing device via the wireless network for audible outputting by client computing device. The user of the client computing device can transition between modes or the transition can be automatic based on user preferences or settings. The back-end speech translation server system can adapt the various recognition and translation models used by the client computing device in the offline mode based on analysis of user data over time, to thereby configure the client computing device with scaled-down, yet more efficient and faster, models than the back-end speech translation server system, while still be adapted for the user's domain.
摘要翻译：一种混合语音翻译系统，其中无线使能的客户端计算设备可以在离线模式下将输入的语音话语从一种语言本地转换到另一种语言，并且在存在无线网络连接的在线模式中，远程计算机执行翻译并经由无线网络将其发送回客户端计算设备，以便客户端计算设备进行声音输出。客户端计算设备的用户可以在模式之间切换，也可以根据用户偏好或设置自动切换。后端语音翻译服务器系统可以基于用户数据随时间的分析，在离线模式下适应客户端计算设备所使用的各种识别和翻译模型，从而使客户端计算设备按比例缩小但更有效率而且比后端语音翻译服务器系统的模型更快，同时仍然适应用户的领域。

10. 发明授权

US11256882B1 Translation training with cross-lingual multi-media support 有权
公开(公告)号：US11256882B1
公开(公告)日：2022-02-22
申请号：US17090801
申请日：2020-11-05
申请人： Facebook, Inc.
发明人： Alexander Waibel
IPC分类号： G06F40/40 , G06F40/58 , G06F40/166 , G10L15/00 , G06F40/205 , G06F40/20 , G06F40/44 , G06F40/216 , G06F40/45
摘要： An improved lecture support system integrates multi-media presentation materials with spoken content so that the listener can follow with both the speech and the supporting materials that accompany the presentation to provide additional understanding. Computer-based systems and methods are disclosed for translation of a spoken presentation (e.g., a lecture, a video) along with the accompanying presentation materials. The content of the presentation materials can be used to improve presentation translation, as it extracts supportive material from the presentation materials as they relate to the speech.

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