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1. 发明授权

US08615388B2 Intra-language statistical machine translation 有权
标题翻译：语言间统计机器翻译
公开(公告)号：US08615388B2
公开(公告)日：2013-12-24
申请号：US12058328
申请日：2008-03-28
申请人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Aero
发明人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Aero
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.
摘要翻译：可以提供训练数据，训练数据包括源短语和目标短语对。这些对可以用于训练语言间统计机器翻译模型，其中语言内统计机器翻译模型在给予人类语言的文本的输入短语时可以计算输入短语的语义等同性的可能性输入短语在人类语言中的翻译。统计机器翻译模型可用于在查询和列表之间进行翻译。查询可以是提交给搜索引擎的人类语言中的文本字符串。列表字符串可以是要由搜索引擎搜索以查找查询字符串的匹配的真实世界实体的正式名称的文本串。

2. 发明申请

US20090248422A1 INTRA-LANGUAGE STATISTICAL MACHINE TRANSLATION 有权
标题翻译：语言统计机翻译
公开(公告)号：US20090248422A1
公开(公告)日：2009-10-01
申请号：US12058328
申请日：2008-03-28
申请人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Acero
发明人： Xiao Li , Yun-Cheng Ju , Geoffrey Zweig , Alex Acero
IPC分类号： G10L11/00 , G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.
摘要翻译：可以提供训练数据，训练数据包括源短语和目标短语对。这些对可以用于训练语言间统计机器翻译模型，其中语言内统计机器翻译模型在给予人类语言的文本的输入短语时可以计算输入短语的语义等同性的可能性输入短语在人类语言中的翻译。统计机器翻译模型可用于在查询和列表之间进行翻译。查询可以是提交给搜索引擎的人类语言中的文本字符串。列表字符串可以是要由搜索引擎搜索以查找查询字符串的匹配的真实世界实体的正式名称的文本串。

3. 发明授权

US07949526B2 Voice aware demographic personalization 有权
标题翻译：语音感知人口统计
公开(公告)号：US07949526B2
公开(公告)日：2011-05-24
申请号：US11810086
申请日：2007-06-04
申请人： Yun-Cheng Ju , Alejandro Acero , Neal Bernstein , Geoffrey Zweig
发明人： Yun-Cheng Ju , Alejandro Acero , Neal Bernstein , Geoffrey Zweig
IPC分类号： G10L15/00
CPC分类号： G10L15/005 , G10L17/26 , H04M3/4211 , H04M3/4878 , H04M3/493 , H04M2201/40
摘要： A voice interaction system is configured to analyze an utterance and identify inherent attributes that are indicative of a demographic characteristic of the system user that spoke the utterance. The system then selects and presents a personalized response to the user, the response being selected based at least in part on the identified demographic characteristic. In one embodiment, the demographic characteristic is one or more of the caller's age, gender, ethnicity, education level, emotional state, health status and geographic group. In another embodiment, the selection of the response is further based on consideration of corroborative caller data.
摘要翻译：语音交互系统被配置为分析话语并且识别指示说话的系统用户的人口特征的固有属性。然后，系统选择并向用户呈现个性化的响应，至少部分地基于所识别的人口特征来选择响应。在一个实施例中，人口特征是呼叫者的年龄，性别，种族，教育水平，情绪状态，健康状况和地理组中的一个或多个。在另一个实施例中，响应的选择进一步基于对确认呼叫者数据的考虑。

4. 发明授权

US09460708B2 Automated data cleanup by substitution of words of the same pronunciation and different spelling in speech recognition 有权
标题翻译：通过替换相同发音和语音识别中不同拼写的单词进行自动数据清理
公开(公告)号：US09460708B2
公开(公告)日：2016-10-04
申请号：US12561521
申请日：2009-09-17
申请人： Geoffrey Zweig , Yun-Cheng Ju
发明人： Geoffrey Zweig , Yun-Cheng Ju
IPC分类号： G06F17/20 , G06F17/27 , G10L15/06 , G10L15/187
CPC分类号： G10L15/063 , G06F17/2735 , G10L15/187
摘要： The described implementations relate to automated data cleanup. One system includes a language model generated from language model seed text and a dictionary of possible data substitutions. This system also includes a transducer configured to cleanse a corpus utilizing the language model and the dictionary. The transducer can process speech recognition data in some cases by substituting a second word for a first word which shares pronunciation with the first word but is spelled differently. In some cases, this can be accomplished by establishing corresponding probabilities of the first word and second word based on a third word that appears in sequence with the first word.
摘要翻译：所描述的实现涉及自动数据清理。一个系统包括从语言模型种子文本生成的语言模型和可能的数据替换的字典。该系统还包括配置成利用语言模型和词典清理语料库的换能器。在某些情况下，换能器可以处理语音识别数据，通过将第二个单词替换为与第一个单词共享发音但拼写不同的第一个单词。在一些情况下，这可以通过基于与第一个单词顺序出现的第三个单词建立第一个单词和第二个单词的相应概率来实现。

5. 发明申请

US20110314003A1 TEMPLATE CONCATENATION FOR CAPTURING MULTIPLE CONCEPTS IN A VOICE QUERY 审中-公开
标题翻译：用于在语音查询中捕获多种概念的模板化
公开(公告)号：US20110314003A1
公开(公告)日：2011-12-22
申请号：US12817233
申请日：2010-06-17
申请人： Yun-Cheng Ju , Wei Wu , Ye-Yi Wang , Xiao Li
发明人： Yun-Cheng Ju , Wei Wu , Ye-Yi Wang , Xiao Li
IPC分类号： G06F17/30
CPC分类号： G10L15/06 , G06F16/3329 , G06F16/951 , G10L15/1822
摘要： Architecture that provides the capability to identify which parts (terms and phrases) of a voice query have been covered by predefined phrase templates, and then to concatenate matching phrase templates into a new paraphrased query. A match-drop-continue algorithm is disclosed that progressively masks out the portions (phrases, terms) of the query matched to the phrase templates. Ultimately, the matched phrase templates are accumulated and organized together dynamically into a rephrased version of the original voice query. A user interface is provided that allows the user to confirm/summarize the multiple concepts in a progressive manner.
摘要翻译：提供识别语音查询的哪些部分（术语和短语）已经被预定义的短语模板覆盖的能力的架构，然后将匹配短语模板连接成新的释义查询。公开了逐行掩蔽与短语模板匹配的查询的部分（短语，术语）的匹配 - 丢弃 - 继续算法。最终，匹配的短语模板被积累并且一起动态地组织成原始语音查询的转换版本。提供了一种用户界面，允许用户以渐进的方式确认/总结多个概念。

6. 发明申请

US20120323967A1 Spelling Using a Fuzzy Pattern Search 审中-公开
标题翻译：拼写使用模糊模式搜索
公开(公告)号：US20120323967A1
公开(公告)日：2012-12-20
申请号：US13159442
申请日：2011-06-14
申请人： Yun-Cheng Ju , Ivan J. Tashev , Xiao Li , Dax Hawkins , Thomas Soemo , Michael H. Kim
发明人： Yun-Cheng Ju , Ivan J. Tashev , Xiao Li , Dax Hawkins , Thomas Soemo , Michael H. Kim
IPC分类号： G06F17/30
CPC分类号： G06F16/685 , G06F16/93
摘要： A multimedia system configured to receive user input in the form of a spelled character sequence is provided. In one implementation, a spell mode is initiated, and a user spells a character sequence. The multimedia system performs spelling recognition and recognizes a sequence of character representations having a possible ambiguity resulting from any user and/or system errors. The sequence of character representations with the possible ambiguity yields multiple search keys. The multimedia system performs a fuzzy pattern search by scoring each target item from a finite dataset of target items based on the multiple search keys. One or more relevant items are ranked and presented to the user for selection, each relevant item being a target item that exceeds a relevancy threshold. The user selects the indented character sequence from the one or more relevant items.
摘要翻译：提供了被配置为以拼写字符序列的形式接收用户输入的多媒体系统。在一个实现中，启动拼写模式，并且用户拼写字符序列。多媒体系统执行拼写识别并识别由任何用户和/或系统错误导致的可能的模糊性的字符表示序列。具有可能模糊性的字符表示序列产生多个搜索关键字。多媒体系统通过基于多个搜索关键词从目标物品的有限数据集中对每个目标物品进行评分来执行模糊模式搜索。将一个或多个相关项目排序并呈现给用户进行选择，每个相关项目是超过相关阈值的目标项目。用户从一个或多个相关项目中选择缩进的字符序列。

7. 发明授权

US09082403B2 Spoken utterance classification training for a speech recognition system 有权
标题翻译：语音识别系统讲话分类训练
公开(公告)号：US09082403B2
公开(公告)日：2015-07-14
申请号：US13326659
申请日：2011-12-15
申请人： Yun-Cheng Ju , James Garnet Droppo, III
发明人： Yun-Cheng Ju , James Garnet Droppo, III
IPC分类号： G10L15/00 , G10L15/18
CPC分类号： G10L15/1822
摘要： The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.
摘要翻译：主题披露旨在培训用于讲话的分类器，而不依赖人力援助。讲话话语可能与语音菜单程序相关，语音理解组件将语音话语解释成语音菜单选项。语音理解组件为一些语音语音提供了确认，以便准确地分配语义标签。对于每个具有拒绝确认的口语说话，语音理解组件自动生成与拒绝确认一致的伪语义标签，并从一组潜在语义标签中选择，并使用伪语义更新与分类器相关联的分类模型标签。

8. 发明申请

US20120185252A1 CONFIDENCE MEASURE GENERATION FOR SPEECH RELATED SEARCHING 有权
标题翻译：用于语音相关搜索的信心度量产生
公开(公告)号：US20120185252A1
公开(公告)日：2012-07-19
申请号：US13428917
申请日：2012-03-23
申请人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
发明人： Ye-Yi Wang , Yun-Cheng Ju , Dong Yu
IPC分类号： G10L15/04
CPC分类号： G10L15/1822
摘要： A method of generating a confidence measure generator is provided for use in a voice search system, the voice search system including voice search components comprising a speech recognition system, a dialog manager and a search system. The method includes selecting voice search features, from a plurality of the voice search components, to be considered by the confidence measure generator in generating a voice search confidence measure. The method includes training a model, using a computer processor, to generate the voice search confidence measure based on selected voice search features.
摘要翻译：提供了一种产生置信度量产生器的方法，用于语音搜索系统中，该语音搜索系统包括包括语音识别系统，对话管理器和搜索系统的语音搜索组件。该方法包括从多个语音搜索组件中选择语音搜索特征，以由置信度量产生器在生成语音搜索置信度量时考虑。该方法包括使用计算机处理器来训练模型，以基于所选择的语音搜索特征生成语音搜索置信度度量。

9. 发明申请

US20090287626A1 MULTI-MODAL QUERY GENERATION 审中-公开
标题翻译：多模式查询生成
公开(公告)号：US20090287626A1
公开(公告)日：2009-11-19
申请号：US12200648
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F7/06 , G06F17/30 , G06N5/02
CPC分类号： G06F16/3322 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) is provided. The system employs text, speech, touch and gesture input to establish a search query. Additionally, a subset of the modalities can be used to obtain search results based upon exact or approximate matches to a search result. For example, wildcards, which can either be triggered by the user or inferred by the system, can be employed in the search.
摘要翻译：提供了一种多模式搜索系统（及相应的方法）。系统采用文字，语音，触摸和手势输入建立搜索查询。此外，模态的子集可以用于基于与搜索结果的精确或近似匹配来获得搜索结果。例如，可以由用户触发或由系统推断的通配符可用于搜索。

10. 发明申请

US20090082037A1 PERSONAL POINTS OF INTEREST IN LOCATION-BASED APPLICATIONS 审中-公开
标题翻译：基于位置的应用程序的个人兴趣点
公开(公告)号：US20090082037A1
公开(公告)日：2009-03-26
申请号：US11860433
申请日：2007-09-24
申请人： Yun-Cheng Ju , Michael Seltzer , Ivan J. Tashev
发明人： Yun-Cheng Ju , Michael Seltzer , Ivan J. Tashev
IPC分类号： H04Q7/20
CPC分类号： G01C21/3608 , G01C21/3679 , H04L67/18
摘要： Framework for receiving, processing, and re-using personal points of interest (PPOI) information of a user in a location-based application. A telephone dialog system provides location-based information related PPOI of a user. For example, the PPOI information can include major intersections that the user may normally travel, gas stations, clubs, etc., based on real-time data obtained via web services. The PPOI information can be acquired using common names and nicknames, which are added into system lexicon and recognition grammars. Each PPOI is also tagged to the user (or “owner”) who defined it. The PPOI information can also be shared to support a community of users. The framework also resolves conflicting PPOI information between multiple users and multiple locations. PPOI information input by one user can be used to extract demographic information and personal preferences and be re-used by other users by automatically popping up common names and attributes other users entered for the same nickname.
摘要翻译：用于在基于位置的应用程序中接收，处理和重新使用用户的个人兴趣点（PPOI）信息的框架。电话对话系统提供用户的基于位置的信息相关的PPOI。例如，PPOI信息可以包括基于通过web服务获得的实时数据，用户可能正常旅行的主要交叉路口，加油站，俱乐部等。可以使用通用名称和昵称来获取PPOI信息，这些名称和昵称被添加到系统词典和识别语法中。每个PPOI也被标记给定义它的用户（或“所有者”）。 PPOI信息也可以共享，以支持用户社区。该框架还解决了多个用户和多个位置之间的冲突的PPOI信息。一个用户输入的PPOI信息可以用于提取人口统计信息和个人偏好，并通过自动弹出其他用户为相同昵称输入的公用名称和属性，由其他用户重新使用。

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