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    • 22. 发明申请
    • INTRA-ORAL THREE-DIMENSIONAL IMAGING SYSTEM
    • 内窥镜三维成像系统
    • US20100227291A1
    • 2010-09-09
    • US12738199
    • 2008-10-23
    • Robert F. DillonBing ZhaoNeil H.K. Judell
    • Robert F. DillonBing ZhaoNeil H.K. Judell
    • A61B1/24G01B11/24G01J3/00
    • A61B5/0088A61B5/0084A61B5/4547A61B5/682A61C9/006A61C9/0073G01B11/2527
    • Described are a method and device for determining three-dimensional position information of a surface of a translucent object having a wavelength-dependent transmittance and reflectance characteristics. The method includes illuminating the surface of the translucent object with optical radiation at a predetermined wavelength emitted from a pair of optical sources. Radiation scattered from the surface and below the surface is detected, and a phase of the optical radiation from one of the optical sources relative to a phase of the optical radiation from the other optical source is changed before again detecting the scattered radiation. The predetermined wavelength is selected so that the optical radiation scattered from below the surface and detected provides a substantially constant background intensity with respect to the optical radiation scattered from the surface and detected. Three-dimensional position information of the surface is calculated in response to the detected radiation.
    • 描述了一种用于确定具有波长依赖的透射率和反射率特性的半透明物体的表面的三维位置信息的方法和装置。 该方法包括用从一对光源发射的预定波长的光辐照照射半透明物体的表面。 检测从表面和表面下方散射的辐射,并且在再次检测散射辐射之前改变来自光源之一相对于来自另一光源的光辐射的相位的相位的相位。 选择预定波长,使得从表面下方散射的光辐射相对于从表面散射的光辐射提供基本上恒定的背景强度并被检测。 响应于检测到的辐射计算表面的三维位置信息。
    • 23. 发明授权
    • Optimization of natural language processing system based on conditional output quality at risk
    • 基于条件输出质量风险的自然语言处理系统优化
    • US08660836B2
    • 2014-02-25
    • US13073255
    • 2011-03-28
    • Vittorio CastelliDavid NahamooBing Zhao
    • Vittorio CastelliDavid NahamooBing Zhao
    • G10L15/00
    • G06F17/2818G06F17/2854
    • Techniques are disclosed for optimizing results output by a natural language processing system. For example, a method comprises optimizing one or more parameters of a natural language processing system so as to improve a measure of quality of an output of the natural language processing system for a first type of data processed by the natural language processing system while maintaining a given measure of quality of an output of the natural language processing system for a second type of data processed by the natural language processing system. For example, the first type of data may have a substantive complexity that is greater than that of the second type of data. Thus, when the natural language processing system is a machine translation system, use of a conditional value at risk metric for the translation quality provides for a high quality output of the machine translation system for data of a high substantive complexity (for sophisticated users) while maintaining an average quality output for average data (for average users).
    • 公开了用于优化由自然语言处理系统输出的结果的技术。 例如,一种方法包括优化自然语言处理系统的一个或多个参数,以便改善对于由自然语言处理系统处理的第一类型的数据的自然语言处理系统的输出的质量的量度,同时保持 给出自然语言处理系统对自然语言处理系统处理的第二类数据的输出质量的度量。 例如,第一类型的数据可能具有大于第二类型的数据的实质性复杂度。 因此,当自然语言处理系统是机器翻译系统时,使用翻译质量的风险度量条件值为机器翻译系统提供高质量的高实质性复杂性(针对复杂用户)的数据输出,同时 维持平均数据(平均用户)的平均质量输出。
    • 24. 发明申请
    • Predicting Pronouns for Pro-Drop Style Languages for Natural Language Translation
    • 预测自然语言翻译中Pro-Drop风格语言的代词
    • US20130185049A1
    • 2013-07-18
    • US13348995
    • 2012-01-12
    • Bing ZhaoImed ZitouniXiaoqiang LuoVittorio Castelli
    • Bing ZhaoImed ZitouniXiaoqiang LuoVittorio Castelli
    • G06F17/28G06F17/27
    • G06F17/2827
    • A method, an apparatus and an article of manufacture for determining a dropped pronoun from a source language. The method includes collecting parallel sentences from a source and a target language, creating at least one word alignment between the parallel sentences in the source and the target language, mapping at least one pronoun from the target language sentence onto the source language sentence, computing at least one feature from the mapping, wherein the at least one feature is extracted from both the source language and the at least one pronoun projected from the target language, and using the at least one feature to train a classifier to predict position and spelling of at least one pronoun in the target language when the at least one pronoun is dropped in the source language.
    • 一种用于从源语言确定掉落代词的方法,装置和制品。 该方法包括从源和目标语言收集并行句子,在源和目标语言中的并行句子之间创建至少一个单词对齐,将来自目标语言句子的至少一个代词映射到源语言句子上,计算 所述映射中的至少一个特征,其中从所述源语言和从所述目标语言投射的所述至少一个代词中提取所述至少一个特征,并且使用所述至少一个特征来训练分类器来预测位置和拼写的位置和拼写 当至少一个代词在源语言中被删除时,目标语言中至少有一个代词。
    • 25. 发明申请
    • OPTIMIZATION OF NATURAL LANGUAGE PROCESSING SYSTEM BASED ON CONDITIONAL OUTPUT QUALITY AT RISK
    • 基于条件输出质量风险的自然语言处理系统优化
    • US20120253783A1
    • 2012-10-04
    • US13073255
    • 2011-03-28
    • Vittorio CastelliDavid NahamooBing Zhao
    • Vittorio CastelliDavid NahamooBing Zhao
    • G06F17/28G06F17/27
    • G06F17/2818G06F17/2854
    • Techniques are disclosed for optimizing results output by a natural language processing system. For example, a method comprises optimizing one or more parameters of a natural language processing system so as to improve a measure of quality of an output of the natural language processing system for a first type of data processed by the natural language processing system while maintaining a given measure of quality of an output of the natural language processing system for a second type of data processed by the natural language processing system. For example, the first type of data may have a substantive complexity that is greater than that of the second type of data. Thus, when the natural language processing system is a machine translation system, use of a conditional value at risk metric for the translation quality provides for a high quality output of the machine translation system for data of a high substantive complexity (for sophisticated users) while maintaining an average quality output for average data (for average users).
    • 公开了用于优化由自然语言处理系统输出的结果的技术。 例如,一种方法包括优化自然语言处理系统的一个或多个参数,以便改善对于由自然语言处理系统处理的第一类型的数据的自然语言处理系统的输出的质量的量度,同时保持 给出自然语言处理系统对自然语言处理系统处理的第二类数据的输出质量的度量。 例如,第一类型的数据可能具有大于第二类型的数据的实质性复杂度。 因此,当自然语言处理系统是机器翻译系统时,使用翻译质量的风险度量条件值为机器翻译系统提供高质量的高实质性复杂性(针对复杂用户)的数据输出,同时 维持平均数据(平均用户)的平均质量输出。