Method and system for using alignment means in matching translation
    1.
    发明授权
    Method and system for using alignment means in matching translation 失效
    在匹配翻译中使用对齐方式的方法和系统

    公开(公告)号:US08594992B2

    公开(公告)日:2013-11-26

    申请号:US12996717

    申请日:2009-06-09

    IPC分类号: G06F17/28

    摘要: This application is related to a means and a method for facilitating the use of translation memories by aligning words of an input source language sentence with the correspondent translated words in target language sentence. More specifically, this invention relates to such a means and method where there is an enhanced translation memory comprising an alignment function.

    摘要翻译: 本申请涉及通过将输入源语言句子的单词与目标语言句中的相应翻译单词对齐来促进翻译记忆库的使用的手段和方法。 更具体地,本发明涉及这样一种方法和方法,其中存在包括对准功能的增强翻译记忆库。

    Method and System for Using Alignment Means in Matching Translation
    2.
    发明申请
    Method and System for Using Alignment Means in Matching Translation 失效
    在匹配翻译中使用对齐方式的方法和系统

    公开(公告)号:US20110093254A1

    公开(公告)日:2011-04-21

    申请号:US12996717

    申请日:2009-06-09

    IPC分类号: G06F17/28

    摘要: This application is related to a means and a method for facilitating the use of translation memories by aligning words of an input source language sentence with the correspondent translated words in target language sentence. More specifically, this invention relates to such a means and method where there is an enhanced translation memory comprising an alignment function.

    摘要翻译: 本申请涉及通过将输入源语言句子的单词与目标语言句中的相应翻译单词对齐来促进翻译记忆库的使用的手段和方法。 更具体地,本发明涉及这样一种方法和方法,其中存在包括对准功能的增强翻译记忆库。

    MEANS AND METHOD FOR AUTOMATIC POST-EDITING OF TRANSLATIONS
    3.
    发明申请
    MEANS AND METHOD FOR AUTOMATIC POST-EDITING OF TRANSLATIONS 审中-公开
    自动翻译的手段和方法

    公开(公告)号:US20090326913A1

    公开(公告)日:2009-12-31

    申请号:US12448859

    申请日:2008-01-09

    IPC分类号: G06F17/28

    CPC分类号: G06F17/2836

    摘要: The invention relates to a method and a means for automatically post-editing a translated text. A source language text is translated into an initial target language text. This initial target language text is then post-edited by an automatic post-editor into an improved target language text. The automatic post-editor is trained on a sentence aligned parallel corpus created from sentence pairs T′ and T, where T′ is an initial training translation of a source training language text, and T is second, independently derived, training translation of a source training language text.

    摘要翻译: 本发明涉及一种自动后翻译文本的方法和手段。 源语言文本被翻译成初始目标语言文本。 然后,该初始目标语言文本由自动后编辑器后编辑成改进的目标语言文本。 自动后编辑器对从语句对T'和T创建的对齐并行语料库的句子进行训练,其中T'是源训练语言文本的初始训练翻译,T是第二个独立地导出源的训练翻译 培训语言文字。

    Enhanced automotive monitoring system using sound
    4.
    发明授权
    Enhanced automotive monitoring system using sound 有权
    增强汽车监控系统使用声音

    公开(公告)号:US07085635B2

    公开(公告)日:2006-08-01

    申请号:US10831926

    申请日:2004-04-26

    IPC分类号: G08G1/052 G10L19/12 G06F17/00

    CPC分类号: B60R21/015 B60R21/0153

    摘要: The vehicular monitoring system obtains audio information from the speech of occupants within the vehicle and then processes that audio information to extract information about the behavior of the vehicle occupants. Using the behavioral information the system then assesses whether said behavior is in compliance with a predefined set of rules. Severe violations are reported to a third party via cellular telephone or other means. Less severe violations are recorded in a log file that is subsequently uploaded to a networked computer system for review and analysis. The behavioral rules used to assess violations may be modified by the administrative user.

    摘要翻译: 车辆监控系统从车内乘客的语音中获取音频信息,然后处理该音频信息以提取关于车辆乘客行为的信息。 使用行为信息,系统然后评估所述行为是否符合预定义的一组规则。 通过蜂窝电话或其他手段向第三方报告严重违规行为。 较不严重的违规行为记录在日志文件中,随后上传到联网计算机系统进行审查和分析。 用于评估违规行为的行为规则可能由管理用户修改。

    Voice personalization of speech synthesizer
    5.
    发明授权
    Voice personalization of speech synthesizer 有权
    语音合成器的语音个性化

    公开(公告)号:US06970820B2

    公开(公告)日:2005-11-29

    申请号:US09792928

    申请日:2001-02-26

    CPC分类号: G10L13/04 G10L2021/0135

    摘要: The speech synthesizer is personalized to sound like or mimic the speech characteristics of an individual speaker. The individual speaker provides a quantity of enrollment data, which can be extracted from a short quantity of speech, and the system modifies the base synthesis parameters to more closely resemble those of the new speaker. More specifically, the synthesis parameters may be decomposed into speaker dependent parameters, such as context-independent parameters, and speaker independent parameters, such as context dependent parameters. The speaker dependent parameters are adapted using enrollment data from the new speaker. After adaptation, the speaker dependent parameters are combined with the speaker independent parameters to provide a set of personalized synthesis parameters. To adapt the parameters with a small amount of enrollment data, an eigenspace is constructed and used to constrain the position of the new speaker so that context independent parameters not provided by the new speaker may be estimated.

    摘要翻译: 语音合成器被个性化以发音或模仿单个扬声器的语音特征。 单个扬声器提供一定数量的登记数据,其可以从短语言中提取,并且系统将基本合成参数修改为更接近于新说话者的参考数据。 更具体地,合成参数可以被分解为与扬声器相关的参数,诸如与上下文无关的参数,以及与扬声器无关的参数,诸如与上下文相关的参数。 使用来自新扬声器的注册数据来调整与扬声器相关的参数。 在适应之后,将扬声器依赖参数与扬声器独立参数组合以提供一组个性化合成参数。 为了使参数具有少量的注册数据,构造本征空间并用于约束新的说话者的位置,以便可以估计不能由新发言者提供的上下文独立参数。

    Small footprint language and vocabulary independent word recognizer using registration by word spelling
    6.
    发明授权
    Small footprint language and vocabulary independent word recognizer using registration by word spelling 有权
    小字体语言和词汇独立的词识别器使用注册字拼写

    公开(公告)号:US06684185B1

    公开(公告)日:2004-01-27

    申请号:US09148579

    申请日:1998-09-04

    IPC分类号: G10L1506

    摘要: A phoneticizer converts spelled words or names into one or an n-best number of phonetic transcriptions. The n-best transcriptions may be generated from a single transcription using a confusion matrix. These n-best transcriptions are then transformed into hybrid units. Preferably only the most frequently encountered units are stored as syllables, with the remainder being stored as smaller units such as demi-syllables or phonemes. Voice input is then used to rescore the n-best transcriptions and these are stored preferably as speaker-independent, similarity-based hybrid units concatenated into a string representing the spelled word.

    摘要翻译: 拼音者将拼写的单词或名称转换为一个或最多数量的语音转录。 可以使用混淆矩阵从单个转录产生n个最佳转录。 然后将这些n个最佳转录转化成混合单位。 优选地,只有最常遇到的单元被存储为音节,其余的被存储为更小的单位,例如音节或音素。 然后,语音输入用于重新排列n个最佳的转录,并且这些被优选地存储为与说明者无关的,基于相似度的混合单元连接成表示拼写单词的字符串。

    Universal remote control allowing natural language modality for television and multimedia searches and requests
    7.
    发明授权
    Universal remote control allowing natural language modality for television and multimedia searches and requests 有权
    通用遥控器允许电视和多媒体搜索和请求的自然语言模式

    公开(公告)号:US06553345B1

    公开(公告)日:2003-04-22

    申请号:US09383762

    申请日:1999-08-26

    IPC分类号: G10L1522

    摘要: The remote control unit supports multi-modal dialog with the user, through which the user can easily select programs for viewing or recording. The remote control houses a microphone into which the user can input natural language speech. The input speech is recognized and interpreted by a natural language parser that extracts the semantic content of the user's speech. The parser works in conjunction with an electronic program guide, through which the remote control system is able to ascertain what programs are available for viewing or recording and supply appropriate prompts to the user. In one embodiment, the remote control includes a touch screen display upon which the user may view prompts or make selections by pen input or tapping. Selections made on the touch screen automatically limit the context of the ongoing dialog between user and remote control, allowing the user to interact naturally with the unit. The remote control unit can control virtually any audio-video component, including those designed before the current technology. The remote control system can be packaged entirely within the remote control handheld unit, or components may be distributed in other systems attached to the user's multimedia equipment.

    摘要翻译: 遥控器支持与用户的多模态对话,用户可以轻松地选择节目进行观看或录制。 遥控器装有麦克风,用户可以在其中输入自然语言语音。 输入语音由提取用户语音的语义内容的自然语言解析器识别和解释。 解析器与电子节目指南一起工作,通过该电子节目指南,遥控系统能够确定哪些节目可用于观看或录制,并向用户提供适当的提示。 在一个实施例中,遥控器包括触摸屏显示器,用户可以通过触摸屏显示器通过笔输入或点击来查看提示或进行选择。 在触摸屏上进行的选择自动限制用户和遥控器之间正在进行的对话框的上下文,从而允许用户自然地与本机进行交互。 遥控器可以实际控制任何音频 - 视频组件,包括在当前技术之前设计的。 远程控制系统可以完全包装在遥控手持单元内,或者组件可以分布在附接到用户的多媒体设备的其它系统中。

    Automatic filtering of TV contents using speech recognition and natural language
    8.
    发明授权
    Automatic filtering of TV contents using speech recognition and natural language 有权
    使用语音识别和自然语言自动过滤电视内容

    公开(公告)号:US06330537B1

    公开(公告)日:2001-12-11

    申请号:US09383758

    申请日:1999-08-26

    IPC分类号: G10L1518

    摘要: Speech recognition and natural language parsing components are used to extract the meaning of the user's spoken input. The system stores a semantic representation of an electronic program guide, and the contents of the program guide can be mapped into the grammars used by the natural language parser. Thus, when the user wishes to navigate through the complex menu structure of the electronic program guide, he or she only needs to speak in natural language sentences. The system automatically filters the contents of the program guide and supplies the user with on-screen display or synthesized speech responses to the user's request.

    摘要翻译: 语音识别和自然语言解析组件用于提取用户口语输入的含义。 该系统存储电子节目指南的语义表示,并且节目指南的内容可被映射到自然语言解析器使用的语法中。 因此,当用户希望通过电子节目指南的复杂菜单结构导航时,他或她只需要用自然语言句子来说话。 该系统自动过滤节目指南的内容,并向用户提供用户请求的屏幕显示或合成语音响应。

    Speaker verification and speaker identification based on eigenvoices
    9.
    发明授权
    Speaker verification and speaker identification based on eigenvoices 失效
    基于特征语音的扬声器验证和扬声器识别

    公开(公告)号:US6141644A

    公开(公告)日:2000-10-31

    申请号:US148911

    申请日:1998-09-04

    CPC分类号: G10L17/02

    摘要: Speech models are constructed and trained upon the speech of known client speakers (and also impostor speakers, in the case of speaker verification). Parameters from these models are concatenated to define supervectors and a linear transformation upon these supervectors results in a dimensionality reduction yielding a low-dimensional space called eigenspace. The training speakers are then represented as points or distributions in eigenspace. Thereafter, new speech data from the test speaker is placed into eigenspace through a similar linear transformation and the proximity in eigenspace of the test speaker to the training speakers serves to authenticate or identify the test speaker.

    摘要翻译: 语音模型根据已知的客户端扬声器的语音进行构建和训练(并且在演讲人验证的情况下也引用了演讲者)。 来自这些模型的参数被连接以定义超级向量,并且这些超向量的线性变换导致维度降低,产生称为本征空间的低维空间。 培训演讲者随后被表示为本土空间的分数或分布。 此后,来自测试扬声器的新的语音数据通过类似的线性变换被放置到本征空间中,并且测试扬声器的本征空间与训练扬声器的接近度用于认证或识别测试扬声器。

    Method for letter-to-sound in text-to-speech synthesis
    10.
    发明授权
    Method for letter-to-sound in text-to-speech synthesis 失效
    文字到语音合成中的字母对声音的方法

    公开(公告)号:US06029132A

    公开(公告)日:2000-02-22

    申请号:US70300

    申请日:1998-04-30

    IPC分类号: G10L13/08 G10L5/00 G10L9/00

    CPC分类号: G10L13/08

    摘要: A two-stage pronunciation generator utilizes mixed decision trees that includes a network of yes-no questions about letter, syntax, context, and dialect in a spelled word sequence. A second stage utilizes decision trees that includes a network of yes-no questions about adjacent phonemes in the phoneme sequence corresponding to the spelled word sequence. Leaf nodes of the mixed decision trees provide information about which phonetic transcriptions are most probable. Using the mixed trees, scores are developed for each of a plurality of possible pronunciations, and these scores can be used to select the best pronunciation as well as to rank pronunciations in order of probability. The pronunciations generated by the system can be used in speech synthesis and speech recognition applications as well as lexicography applications.

    摘要翻译: 两阶段发音生成器利用混合决策树,其中包含有拼写单词序列中关于字母,语法,上下文和方言的是 - 否问题的网络。 第二阶段利用对应于拼写单词序列的音素序列中包含关于相邻音素的是 - 否问题的网络的决策树。 混合决策树的叶节点提供了哪些语音转录最有可能的信息。 使用混合树,为多个可能的发音中的每一个开发分数,并且这些分数可以用于选择最佳发音以及按概率的排序排列发音。 系统生成的发音可用于语音合成和语音识别应用以及词典应用。