公开(公告)号：US07877256B2

公开(公告)日：2011-01-25

申请号：US11356905

申请日：2006-02-17

Applicant: Xiaolong Li ,  Li Deng ,  Dong Yu ,  Alejandro Acero

Inventor： Xiaolong Li ,  Li Deng ,  Dong Yu ,  Alejandro Acero

IPC: G10L15/14

CPC classification number: G10L15/08

Abstract: A time-synchronous lattice-constrained search algorithm is developed and used to process a linguistic model of speech that has a long-contextual-span capability. In the algorithm, hypotheses are represented as traces that include an indication of a current frame, previous frames and future frames. Each frame can include an associated linguistic unit such as a phone or units that are derived from a phone. Additionally, pruning strategies can be applied to speed up the search. Further, word-ending recombination methods are developed to speed up the computation. These methods can effectively deal with an exponentially increased search space.

Abstract translation: 开发了一种时间同步的格格约束搜索算法，用于处理具有长语境跨度能力的语言语言模型。 在算法中，假设被表示为包括当前帧，先前帧和未来帧的指示的迹线。 每个帧可以包括相关联的语言单元，例如从电话派生的电话或单元。 此外，可以应用修剪策略来加快搜索速度。 此外，开发了文字重组方法以加速计算。 这些方法可以有效地处理指数级增加的搜索空间。

公开(公告)号：US20080177545A1

公开(公告)日：2008-07-24

申请号：US11655702

申请日：2007-01-19

Applicant: Xiaolong Li ,  Yun-Cheng Ju ,  Li Deng ,  Alejandro Acero

Inventor： Xiaolong Li ,  Yun-Cheng Ju ,  Li Deng ,  Alejandro Acero

IPC: G10L15/28

CPC classification number: G06F17/271 ,  G09B17/003 ,  G10L15/197 ,  G10L2015/221

Abstract: A novel system for automatic reading tutoring provides effective error detection and reduced false alarms combined with low processing time burdens and response times short enough to maintain a natural, engaging flow of interaction. According to one illustrative embodiment, an automatic reading tutoring method includes displaying a text output and receiving an acoustic input. The acoustic input is modeled with a domain-specific target language model specific to the text output, and with a general-domain garbage language model, both of which may be efficiently constructed as context-free grammars. The domain-specific target language model may be built dynamically or “on-the-fly” based on the currently displayed text (e.g. the story to be read by the user), while the general-domain garbage language model is shared among all different text outputs. User-perceptible tutoring feedback is provided based on the target language model and the garbage language model.

Abstract translation: 用于自动阅读辅导的新颖系统提供了有效的错误检测和减少的假警报以及较短的处理时间负担和响应时间足够短以保持自然的，互动的互动流。 根据一个说明性实施例，自动阅读辅导方法包括显示文本输出并接收声输入。 声输入是用专门针对文本输出的领域特定的目标语言模型建立的，并且具有通用域垃圾语言模型，这两种语言模型都可以被有效地构建为无上下文的语法。 可以基于当前显示的文本（例如，用户要阅读的故事）动态地或“即时”地构建特定领域的目标语言模型，而一般域垃圾语言模型在所有不同的方式之间共享 文本输出。 基于目标语言模型和垃圾语言模型提供了用户可感知的辅导反馈。

公开(公告)号：US09170640B2

公开(公告)日：2015-10-27

申请号：US13807383

申请日：2011-06-29

Applicant: Xiaolong Li

Inventor： Xiaolong Li

IPC: G06F1/00 ,  G06F1/26 ,  G06F1/32

CPC classification number: G06F1/3287 ,  G06F1/3203 ,  Y02D10/171

Abstract: A control method, a control apparatus and a terminal are provided according to embodiments of the present invention. The method includes: receiving a trigger event; determining from the trigger event whether the terminal enters a limited operation mode in which at least one component of the terminal is unusable; generating a first control instruction when it is determined that the terminal enters the limited operation mode; and controlling to turn off power supply to the at least one component terminal according to the first control instruction. With the present invention, it is possible to switch the terminal system between a limited operation mode and a normal operation mode in terms of hardware, thereby saving power and satisfying the low-carbon environmental preservation requirements.

Abstract translation: 根据本发明的实施例提供了控制方法，控制装置和终端。 该方法包括：接收触发事件; 从所述触发事件确定所述终端是否进入所述终端的至少一个组件不可用的有限操作模式; 当确定终端进入有限操作模式时产生第一控制指令; 并且根据第一控制指令控制关闭对至少一个分量终端的电源。 利用本发明，可以在硬件方面将终端系统切换到有限的操作模式和正常操作模式之间，从而节省功率并满足低碳环保要求。

公开(公告)号：US08577670B2

公开(公告)日：2013-11-05

申请号：US12684749

申请日：2010-01-08

Applicant: Kuansan Wang ,  Xiaolong Li ,  Jiangbo Miao ,  Frederic H. Behr, Jr.

Inventor： Kuansan Wang ,  Xiaolong Li ,  Jiangbo Miao ,  Frederic H. Behr, Jr.

IPC: G06F17/27

CPC classification number: G06F17/2715 ,  G06F17/277 ,  G06F17/30864 ,  G10L15/183

Abstract: A statistical language model (SLM) may be iteratively refined by considering N-gram counts in new data, and blending the information contained in the new data with the existing SLM. A first group of documents is evaluated to determine the probabilities associated with the different N-grams observed in the documents. An SLM is constructed based on these probabilities. A second group of documents is then evaluated to determine the probabilities associated with each N-gram in that second group. The existing SLM is then evaluated to determine how well it explains the probabilities in the second group of documents, and a weighting parameter is calculated from that evaluation. Using the weighting parameter, a new SLM is then constructed as a weighted average of the existing SLM and the new probabilities.

Abstract translation: 可以通过考虑新数据中的N-gram计数，并将新数据中包含的信息与现有SLM进行混合来迭代地改进统计语言模型（SLM）。 评估第一组文件以确定与文件中观察到的不同N-gram相关联的概率。 基于这些概率构建SLM。 然后评估第二组文件以确定与该第二组中的每个N-gram相关联的概率。 然后评估现有SLM以确定它如何解释第二组文档中的概率，并从该评估计算加权参数。 使用加权参数，然后构建新的SLM作为现有SLM的加权平均值和新概率。

公开(公告)号：US08489533B2

公开(公告)日：2013-07-16

申请号：US12499092

申请日：2009-07-08

Applicant: Kuansan Wang ,  Xiaolong Li ,  Nikolas Clemens Gloy

Inventor： Kuansan Wang ,  Xiaolong Li ,  Nikolas Clemens Gloy

IPC: G06F17/00

CPC classification number: G06F9/451

Abstract: Technologies pertaining to inferring a view sequence of a user are described herein. A view sequence is an order that graphical objects on a graphical user interface are viewed by a user. A view sequence with respect to graphical objects presented on a graphical user interface is inferred based upon historically observed user actions, such as selection of a link or hovering over respective graphical objects. The view sequence is inferred without employment of sensor equipment that tracks eye movements of users.

Abstract translation: 本文描述了关于推断用户的视图序列的技术。 视图序列是图形用户界面上的图形对象被用户查看的顺序。 基于历史上观察到的用户动作（例如选择链接或悬停在各个图形对象上）来推断关于在图形用户界面上呈现的图形对象的视图序列。 推测视图序列，而不使用跟踪用户眼睛移动的传感器设备。

公开(公告)号：US20130085970A1

公开(公告)日：2013-04-04

申请号：US13251294

申请日：2011-10-03

Applicant: Shardool Karnik ,  Xiaolong Li ,  Partha Sundaram

Inventor： Shardool Karnik ,  Xiaolong Li ,  Partha Sundaram

IPC: G06F17/30 ,  G06F15/18

CPC classification number: G06F17/30867 ,  G06Q50/01 ,  H04L51/32

Abstract: An intent engine that automatically detects user intent from messages of a social network (e.g., messages with questions to ask) and outputs intent data. The engine is intelligent in that it can process natural language input such as questions and terms. The user is then directed to an answer page filtered according to the intent data and which proviJoshdes answers related to a question, for example. The intent engine can be designated (e.g., tagged, or “friended”) and then linked into a specialized relationship (e.g., a “friend”). Accordingly, in one example, a URL link is constructed that points to the answer page, with filters configured based on the intent data. The URL is then sent back to the user as a friendly response. When the user selects the link, the user is presented with an answer page that provides answers which match the user intent derived from the user messages.

Abstract translation: 意图引擎，其自动地从社交网络的消息中检测用户意图（例如，具有询问问题的消息）并输出意图数据。 引擎是智能的，它可以处理自然语言输入，如问题和术语。 然后，用户被引导到例如根据意图数据过滤的答案页面以及与问题相关的proviJoshdes答案。 意图引擎可以被指定（例如，标记或修饰），然后被链接到专门的关系（例如，朋友）中。 因此，在一个示例中，构建指向答案页面的URL链接，其中基于意图数据配置过滤器。 然后，该URL将作为友好的响应发回给用户。 当用户选择链接时，向用户呈现提供与从用户消息导出的用户意图相匹配的答案的答复页面。

公开(公告)号：US08306822B2

公开(公告)日：2012-11-06

申请号：US11900274

申请日：2007-09-11

Applicant: Xiaolong Li ,  Li Deng ,  Yun-Cheng Ju ,  Alex Acero

Inventor： Xiaolong Li ,  Li Deng ,  Yun-Cheng Ju ,  Alex Acero

IPC: G10L15/22

CPC classification number: G10L15/18 ,  G09B17/003 ,  G10L15/183

Abstract: A method of providing automatic reading tutoring is disclosed. The method includes retrieving a textual indication of a story from a data store and creating a language model including constructing a target context free grammar indicative of a first portion of the story. A first acoustic input is received and a speech recognition engine is employed to recognize the first acoustic input. An output of the speech recognition engine is compared to the language model and a signal indicative of whether the output of the speech recognition matches at least a portion of the target context free grammar is provided.

Abstract translation: 公开了提供自动阅读辅导的方法。 该方法包括从数据存储中检索故事的文本指示并创建包括构建指示故事的第一部分的目标上下文自由语法的语言模型。 接收到第一声输入，并且采用语音识别引擎来识别第一声输入。 将语音识别引擎的输出与语言模型进行比较，并且提供指示语音识别的输出是否与目标语境自由语法的至少一部分匹配的信号。

公开(公告)号：US20110231394A1

公开(公告)日：2011-09-22

申请号：US12726358

申请日：2010-03-18

Applicant: Kuansan Wang ,  Bo-June Hsu ,  Xiaolong Li

Inventor： Kuansan Wang ,  Bo-June Hsu ,  Xiaolong Li

IPC: G06F17/30

CPC classification number: G06F17/30654 ,  G06F17/30731 ,  G06F17/30976

Abstract: Architecture that employs a modeling technique based on language modeling to estimate a probability of a document matching the user need as expressed in the query. The modeling technique is based on the data mining results that various portions of a document (e.g., body, title, URL, anchor text, user queries) use different styles of human languages. Thus, the results based on a language can be adapted individually to match the language of query. Since the approach is based on adaptation, the framework also provides a natural means to progressively revise the model as user data are collected. Different styles of languages in a document can be recognized and adapted individually. Background language models are also employed that offer a fallback approach in case the document has incomplete fields of data, and can utilize topical or semantic hierarchy of the knowledge domain.

Abstract translation: 采用基于语言建模的建模技术的架构来估计在查询中表达的与用户匹配的文档的概率。 建模技术基于数据挖掘结果，文档的各个部分（例如，主体，标题，URL，锚文本，用户查询）使用不同风格的人类语言。 因此，基于语言的结果可以单独调整以匹配查询语言。 由于该方法是基于适应性的，所以该框架还提供了一种在收集用户数据时逐步修改模型的自然方法。 文档中不同风格的语言可以单独识别和修改。 还使用背景语言模型，在文档具有不完整的数据领域的情况下提供回退方法，并且可以利用知识领域的局部或语义层次结构。

公开(公告)号：US07789020B2

公开(公告)日：2010-09-07

申请号：US12212769

申请日：2008-09-18

Applicant: Xiaolong Li

Inventor： Xiaolong Li

IPC: E01B25/00

CPC classification number: B60F1/04 ,  B60F2301/10 ,  B61B13/00 ,  B61B15/00 ,  E01B2/00 ,  E01B25/28 ,  Y02T30/30

Abstract: A track of a road and rail vehicle, comprising: a railway track, and a routing device having a supporting plate and a turnout; wherein the routing device is disposed in front of the railway track and connected to a road; the supporting plate is aligned with the road and capable of moving horizontally and adjusting a direction or an angle of the road and rail vehicle entering the railway track; and the turnout enables the road and rail vehicle to switch between the road and the rail. A road and rail vehicle is also provided.

Abstract translation: 一种道路轨道车辆的轨道，包括：铁路轨道，以及具有支撑板和道岔的路线装置; 其中所述路由设备被布置在所述铁路轨道的前面并连接到道路; 支撑板与道路对准，能够水平移动，并调整进入铁路轨道的道路和轨道车辆的方向或角度; 道路和轨道车辆能够在道路和铁路之间切换。 还提供公路和铁路车辆。

公开(公告)号：US08942978B2

公开(公告)日：2015-01-27

申请号：US13182971

申请日：2011-07-14

Applicant: Li Deng ,  Dong Yu ,  Xiaolong Li ,  Alejandro Acero

Inventor： Li Deng ,  Dong Yu ,  Xiaolong Li ,  Alejandro Acero

IPC: G10L15/00 ,  G10L15/06

CPC classification number: G10L15/063 ,  G10L2015/025

Abstract: Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood function.

Abstract translation: 使用用于观察向量的声学似然函数作为优化的反对函数来估计包括装置和方差的隐藏轨迹模型的分布参数。 该估计仅包括声学数据，而不包括对隐藏的动态变量的任何中间估计。 可以开发梯度上升方法来优化声似然函数。