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    • 5. 发明授权
    • Statistical translation system and method for fast sense disambiguation
and translation of large corpora using fertility models and sense models
    • 使用生育力模型和感官模型对大型语料库进行快速消歧和翻译的统计翻译系统和方法
    • US6092034A
    • 2000-07-18
    • US123166
    • 1998-07-27
    • Jeffrey Scott McCarleySalim Roukos
    • Jeffrey Scott McCarleySalim Roukos
    • G06F17/27G06F17/28
    • G06F17/2795G06F17/2818
    • A system and method for translating a series of source words in a first language to a series of target words in a second language is provided. The system includes an input device for inputting the series of source words. A fertility hypothesis generator operatively coupled to the input device generates at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word. A sense hypothesis generator operatively coupled to the input device generates sense hypotheses for a translation of the source word, based on the source word and the context of the source word. A fertility model operatively coupled to the fertility hypothesis generator determines a probability of the fertility of the source word, based on the source word and the context of the source word. A sense model operatively coupled to the sense hypothesis generator determines a probability of a target word being a correct translation of the source word, based on the source word and the context of the source word. A decoder operatively coupled to the fertility and sense models for generating a list of target words for the translation of the source word, based on the probability calculated by the fertility model and the probability calculated by the sense model.
    • 提供了一种用于将第一语言中的一系列源词翻译为第二语言的一系列目标词的系统和方法。 该系统包括用于输入一系列源字的输入装置。 可操作地耦合到输入装置的生殖力假设发生器基于源字和源字的上下文产生用于源字的生育力的至少一个生育力假设。 可操作地耦合到输入设备的感觉假设发生器基于源字和源字的上下文产生用于源字的翻译的有意义假设。 有效耦合到生育力假设发生器的生育力模型基于源词和源词的上下文来确定源词的生育力的概率。 可操作地耦合到感觉假设发生器的感测模型基于源字和源字的上下文来确定目标字是源字的正确翻译的概率。 基于由生育力模型计算的概率和由感知模型计算的概率,可操作地耦合到生育力和感知模型的解码器,用于生成用于翻译源词的目标词列表。
    • 6. 发明申请
    • Self-Regulating Annotation Quality Control Mechanism
    • 自我调节注释质量控制机制
    • US20130091161A1
    • 2013-04-11
    • US13270527
    • 2011-10-11
    • Jeffrey Scott McCarleyLeiming R. Qian
    • Jeffrey Scott McCarleyLeiming R. Qian
    • G06F3/01G06F17/30
    • G06F17/2854G06Q10/06395
    • A method, apparatus and article of manufacture for determining annotation quality, including obtaining N annotations on an artifact, wherein each annotation includes a feature and N annotations include three or more annotations including an annotation provided by a first human annotator, zero or more human annotations and zero or more imposter annotations, selectively displaying the N annotations to the first human annotator, wherein the annotation provided by the first human annotator is completely visible and each of the other N−1 annotations includes a feature hidden, and determining to annotation quality of one of the N−1 annotations based on input from the first human annotator regarding the displayed annotations, wherein ability of the first human annotator to identify imposter annotations or recognize that no imposter annotation exists is gated by the quality of the first human's annotation via hiding other annotations and requiring a probe based on the first human annotator's annotation.
    • 一种用于确定注释质量的方法,装置和制品,包括获得关于伪像的N个注释,其中每个注释包括特征,并且N个注释包括三个或更多个注释,包括由第一人类注释器提供的注释,零个或多个人注释 以及零个或多个冒号注解,选择性地将N个注释显示给第一人类注释器,其中由第一人类注释器提供的注释是完全可见的,并且其它N-1注释中的每一个包括隐藏的特征,并且确定注释质量 基于来自第一人类注释器关于所显示的注释的输入的N-1注释中的一个,其中第一人类注释者识别冒号注解或识别不存在冒号注释的能力由第一人类注释的质量通过隐藏 其他注释,并要求基于第一个人类注释器的探针 的注释。