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1. 发明申请

US20170133007A1 Method for Substantial Ongoing Cumulative Voice Recognition Error Reduction 审中-公开
公开(公告)号：US20170133007A1
公开(公告)日：2017-05-11
申请号：US15415850
申请日：2017-01-25
申请人： William Drewes
发明人： William Drewes
IPC分类号： G10L15/06 , G10L15/02 , G10L25/51 , G06F17/27
CPC分类号： G10L15/063 , G06F17/2735 , G10L15/02 , G10L15/06 , G10L15/22 , G10L25/51 , G10L2015/0635
摘要： In an embodiment, speech is recorded and converted to digital text based on a shared vocabulary dictionary. During the session, voice recognition errors, that is, speech that could not be automatically identified (if any exists), are identified by the system and associated with digital text. When text for the voice recognition error is identified (e.g., by an editor), the shared vocabulary dictionary is updated (so that that particular voice recognition error will not occur again), thereby improving the performance of the system for all users that use the shared vocabulary dictionary. The identification of voice recognitions errors and the updated of the vocabulary dictionary are performed on an ongoing basis, so that the performance of the system for all users continually improves.

2. 发明申请

US20090192782A1 Method for increasing the accuracy of statistical machine translation (SMT) 审中-公开
标题翻译：提高统计机器翻译（SMT）精度的方法
公开(公告)号：US20090192782A1
公开(公告)日：2009-07-30
申请号：US12321436
申请日：2009-01-21
申请人： William Drewes
发明人： William Drewes
IPC分类号： G06F17/28 , H04M3/42
CPC分类号： G06F17/2818
摘要： A method to significantly improve the accuracy of Statistical Machine Translation (SMT) translation output, while increasing the effectively of the required ongoing human translation effort by correlating said ongoing professional human translation effort directly to the translation errors made by the system. Once said translation errors have been corrected by professional human translators and re-input to the system, the SMT's inherent “learning process” will ensure that the same, and possibly similar, translation error(s) will not occur again.
摘要翻译：一种显着提高统计机器翻译（SMT）翻译输出的准确性的方法，同时通过将所述正在进行的专业人工翻译工作直接与系统进行的翻译错误相关联来增加所需的正在进行的人工翻译工作的有效性。一旦翻译错误已由专业的人类翻译人员纠正并重新输入系统，SMT的固有“学习过程”将确保不会再发生相同的可能相似的翻译错误。

3. 发明授权

US4315514A Method and apparatus for selective cell destruction 失效
标题翻译：选择性细胞破坏的方法和装置
公开(公告)号：US4315514A
公开(公告)日：1982-02-16
申请号：US148058
申请日：1980-05-08
申请人： William Drewes , Martin Levine
发明人： William Drewes , Martin Levine
IPC分类号： A61B10/00 , A61B10/02 , A61B17/00 , A61B19/00 , A61F7/00 , A61M1/36 , A61N7/02 , A61B5/00
CPC分类号： A61N7/02 , A61F7/00 , A61B10/02 , A61B2017/00057 , A61B2017/00106 , A61B90/10 , A61M1/36
摘要： Method for destroying selected cells in a host without damage to non-selected cells comprises selecting a transmission path from an energy source (12) to the selected cells (30); determining one or more of the resonant frequencies of the selected cells (30); selecting as a destructive frequency one of the resonant frequencies at which the transmissibility of the selected cells (30) is higher than the transmissibility of the non-selected cells in the transmission path; and transmitting energy from the source (12) at the destructive frequency along the path with sufficient intensity to destroy the selected cells (30) without destroying the non-selected cells. Apparatus for practicing the method is also disclosed.
摘要翻译：用于在不损坏未选择的小区的情况下破坏主机中的选定小区的方法包括选择从能量源（12）到所选小区（30）的传输路径; 确定所选择的单元（30）的一个或多个谐振频率; 选择所选择的单元（30）的传输率高于传输路径中的未选择单元的传输率的谐振频率之一的破坏频率; 以及以足够的强度沿所述路径以所述破坏性频率从所述源（12）传输能量以破坏所选择的单元（30）而不破坏所述未选择的单元。还公开了用于实施该方法的装置。

4. 发明授权

US09947313B2 Method for substantial ongoing cumulative voice recognition error reduction 有权
公开(公告)号：US09947313B2
公开(公告)日：2018-04-17
申请号：US15415850
申请日：2017-01-25
申请人： William Drewes
发明人： William Drewes
IPC分类号： G10L15/00 , G10L15/06 , G06F17/27 , G10L15/02 , G10L25/51
CPC分类号： G10L15/063 , G06F17/2735 , G10L15/02 , G10L15/06 , G10L15/22 , G10L25/51 , G10L2015/0635
摘要： In an embodiment, speech is recorded and converted to digital text based on a shared vocabulary dictionary. During the session, voice recognition errors, that is, speech that could not be automatically identified (if any exists), are identified by the system and associated with digital text. When text for the voice recognition error is identified (e.g., by an editor), the shared vocabulary dictionary is updated (so that that particular voice recognition error will not occur again), thereby improving the performance of the system for all users that use the shared vocabulary dictionary. The identification of voice recognitions errors and the updated of the vocabulary dictionary are performed on an ongoing basis, so that the performance of the system for all users continually improves.

5. 发明授权

US4349898A Sonic weapon system 失效
标题翻译：声波武器系统
公开(公告)号：US4349898A
公开(公告)日：1982-09-14
申请号：US959302
申请日：1978-11-09
申请人： William Drewes , Edward M. Vlicki
发明人： William Drewes , Edward M. Vlicki
IPC分类号： F41B15/00 , G01S15/88 , G10K7/04 , G10K11/04 , G10K11/28 , G10K15/04 , H04B1/02
CPC分类号： F41H13/0081 , F41B15/00 , G01S15/88 , G10K11/04 , G10K11/28 , G10K15/04 , G10K7/04 , G01N2291/02491
摘要： A system for transmitting a parametrically pumped sonic signal through a transmission medium to a remote location is disclosed. The preferred system, which is particularly intended for use as a sonic weapon, comprises a sound source; means for separating the sound into a plurality of discrete frequency components including a fundamental component and at least one additional component, each additional component having a frequency twice that of the next lowest frequency component; means for adjusting the phase difference between each frequency component and the next lowest frequency component to substantially 90.degree.; means for colinearly focusing the components on the remote location; and means for rendering the transmission medium nonlinear between the focusing means and the remote location.
摘要翻译：公开了一种用于通过传输介质将参数抽取的声音信号传输到远程位置的系统。特别用作声音武器的优选系统包括声源; 用于将声音分离成包括基本分量和至少一个附加分量的多个离散频率分量的装置，每个附加分量的频率是下一个最低频率分量的频率的两倍; 用于将每个频率分量和下一个最低频率分量之间的相位差调整到大致90度的装置; 用于将组件聚焦在远程位置的方法; 以及用于使所述传输介质在所述聚焦装置和所述远程位置之间呈非线性的装置。

6. 发明申请

US20160275942A1 Method for Substantial Ongoing Cumulative Voice Recognition Error Reduction 审中-公开
标题翻译：大量正在进行的累积语音识别误差减少的方法
公开(公告)号：US20160275942A1
公开(公告)日：2016-09-22
申请号：US15006092
申请日：2016-01-25
申请人： William Drewes
发明人： William Drewes
IPC分类号： G10L15/06 , G10L15/04 , G06F17/27 , G10L15/10
CPC分类号： G06F17/2735 , G10L15/06 , G10L15/22 , G10L2015/0638
摘要： In an embodiment, speech is recorded and converted to digital text based on a shared vocabulary dictionary. During the session, voice recognition errors, that is, speech that could not be automatically identified (if any exists), are identified by the system and associated with digital text. When text for the voice recognition error is identified (e.g., by an editor), the shared vocabulary dictionary is updated (so that that particular voice recognition error will not occur again), thereby improving the performance of the system for all users that use the shared vocabulary dictionary. The identification of voice recognitions errors and the updated of the vocabulary dictionary are performed on an ongoing basis, so that the performance of the system for all users continually improves.
摘要翻译：在一个实施例中，基于共享词汇词典记录语音并将其转换为数字文本。在会话期间，语音识别错误，即无法自动识别（如果存在）的语音由系统识别并与数字文本相关联。当识别到语音识别错误的文本（例如，通过编辑器）时，更新共享词汇词典（使得不再发生特定的语音识别错误），从而提高系统对所有使用共享词汇词典。语音识别错误的识别和词汇词典的更新在持续的基础上进行，使得系统对所有用户的性能不断提高。

7. 发明申请

US20120284015A1 Method for Increasing the Accuracy of Subject-Specific Statistical Machine Translation (SMT) 审中-公开
标题翻译：提高专题统计机器翻译（SMT）精度的方法
公开(公告)号：US20120284015A1
公开(公告)日：2012-11-08
申请号：US13551752
申请日：2012-07-18
申请人： William Drewes
发明人： William Drewes
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2854
摘要： A method of improving the accuracy of the translation output of Statistical Machine Translation (SMT), while increasing the effectiveness of an ongoing professional human translation effort by correlating the ongoing professional human translation effort directly with the translation errors made by the system. Once the translation errors have been corrected by professional human translators and are re-input to the system, the SMT's training process may ensure that the same, and possibly similar, translation error(s) may not occur again.
摘要翻译：提高统计机器翻译（SMT）的翻译输出的准确性的方法，同时通过将正在进行的专业人工翻译工作直接与系统进行的翻译错误相关联，提高正在进行的专业人力翻译工作的有效性。一旦翻译错误已被专业人员翻译者纠正并重新输入系统，SMT的培训过程可能会确保不会再发生相同的可能相似的翻译错误。

8. 发明申请

US20090125295A1 Voice auto-translation of multi-lingual telephone calls 审中-公开
标题翻译：语音自动翻译多语言电话
公开(公告)号：US20090125295A1
公开(公告)日：2009-05-14
申请号：US12290761
申请日：2008-11-03
申请人： William Drewes
发明人： William Drewes
IPC分类号： G06F17/28 , H04M3/42
CPC分类号： G06F17/289 , H04M3/42 , H04M3/56 , H04M2203/2061
摘要： The present invention discloses the system design, module requirements, specifications and methods that comprise the core technology required to enable the development of a viable Multi-Lingual Auto-Translation Telephony System. During a conversation utilizing said Multi-Lingual Auto-Translation Telephony System, each participant speaks only one language for the duration of the conversation, and there is no limit on the number of participants that may participate in said conversation, provided said number of participants is two or greater, nor is there any limit on the number of different languages that may be employed by said different participants during said conversation.
摘要翻译：本发明公开了包括能够开发可行的多语言自动翻译电话系统所需的核心技术的系统设计，模块要求，规范和方法。在使用所述多语言自动翻译电话系统的对话期间，每个参与者在谈话期间仅说一种语言，并且对于可能参与所述对话的参与者的数量没有限制，只要参与者的数量是两个或更多个，在所述对话期间，所述不同参与者可能使用的不同语言的数量也没有限制。

9. 发明申请

US20080177528A1 Method of enabling any-directional translation of selected languages 审中-公开
标题翻译：启用所选语言的任意方向翻译的方法
公开(公告)号：US20080177528A1
公开(公告)日：2008-07-24
申请号：US12008082
申请日：2008-01-08
申请人： William Drewes
发明人： William Drewes
IPC分类号： G06F17/28
CPC分类号： G06F17/289
摘要： A method of utilizing multiple Machine Translation “Language Pairs” to create a “Community of Language Pairs” (The Community) that consists of one “Language Pair” for every possible combination of every two languages and/or language dialects included in The Community. The present invention greatly enhances the utility of the art of Machine Translation. Utilizing the present invention, any user whose native language, or other language in which the user is fluent, which is included in The Community may now have access to machine translations of electronically recorded material produced in any other language, or language dialect, included in The Community. The present invention applies to both machine translation of material that is electronically recorded in different languages included in The Community, as well as real time interactive communication with and among multiple users whose native language, or other language in which each user is fluent, is included in The Community.
摘要翻译：一种利用多机器翻译“语言对”来创建“共同体社区”的方法，该社区由“社区”中包含的每两种语言和/或语言方言的每种可能的组合组成一个“语言对”。本发明大大提高了机器翻译技术的实用性。利用本发明，包括在社区中的本国语言或用户流利的其他语言的任何用户现在可以访问包括在任何其他语言或语言方言中的电子记录材料的机器翻译社区。本发明适用于以电子方式记录在社群中的不同语言的材料的机器翻译，以及与其母语或每种用户流利的其他语言的多个用户之间的实时交互式通信在社区。

10. 发明授权

US6156549A Method of destroying cells via resonant destruction of intracellular structures 失效
标题翻译：通过细胞内结构的共振破坏破坏细胞的方法
公开(公告)号：US6156549A
公开(公告)日：2000-12-05
申请号：US238123
申请日：1999-01-27
申请人： William Drewes , Alon Amitay , Giora Rosenhouse
发明人： William Drewes , Alon Amitay , Giora Rosenhouse
IPC分类号： A61N7/00 , C12N13/00
CPC分类号： C12N13/00 , A61N7/00
摘要： A method of destroying cells selected for destruction within a host body with little to no collateral damage to healthy surrounding tissue utilizes energy to effect resonant destruction of intracellular components within the cells selected for destruction.
摘要翻译：在宿主体内破坏被选择用于破坏的细胞的方法，其对健康的周围组织几乎没有至少的附带损伤利用能量来影响被选择用于破坏的细胞内细胞内组分的共振破坏。

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