SENTENCE PARSING CORRECTION SYSTEM
    71.
    发明申请
    SENTENCE PARSING CORRECTION SYSTEM 审中-公开
    声音校正校正系统

    公开(公告)号:WO2014066651A2

    公开(公告)日:2014-05-01

    申请号:PCT/US2013/066635

    申请日:2013-10-24

    Abstract: A system provides on a computer display screen, a graphical image of an initial parsing as generated by a computerized algorithm. Individual clauses are encased in expandable containers that a user can shift and resize on the screen using a mouse or other cursor control device to thereby improve the initial parsing.

    Abstract translation: 系统在计算机显示屏幕上提供由计算机化算法生成的初始解析的图形图像。 单独的条款被封装在可扩展容器中,用户可以使用鼠标或其他光标控制装置在屏幕上移动和调整大小,从而改进初始解析。

    SYSTEMS FOR DYNAMICALLY GENERATING AND PRESENTING NARRATIVE CONTENT
    72.
    发明申请
    SYSTEMS FOR DYNAMICALLY GENERATING AND PRESENTING NARRATIVE CONTENT 审中-公开
    用于动态生成和显示内容的系统

    公开(公告)号:WO2011127140A1

    公开(公告)日:2011-10-13

    申请号:PCT/US2011/031380

    申请日:2011-04-06

    Inventor: ALLEN, Robert C.

    Abstract: In some embodiments, a non-transitory processor-readable medium stores code representing instructions that when executed cause a processor to select a narrative content template based at least in part on a predetermined content type associated with a real-world and/or virtual event and to select a narrative tone type. The code further represents instructions that when executed cause the processor to, for each phrase included In an ordered set of phrases associated with the narrative content template, select, based at least in part on the narrative tone type, a phrase variation from a set of phrase variations associated with that phrase, and define, based on the selected phrase variation and at least one datum from a set of data, a narrative content portion associated with the real-world event. The code further represents instructions that when executed cause the processor to output, at a display, the narrative content portion.

    Abstract translation: 在一些实施例中,非暂时处理器可读介质存储表示指令的代码,所述指令在被执行时导致处理器至少部分地基于与真实世界和/或虚拟事件相关联的预定内容类型来选择叙述内容模板;以及 选择叙事音色型。 代码进一步表示当被执行时导致处理器对于每个短语包括的指令。在与叙述内容模板相关联的一组有序短语中,至少部分基于叙述音调类型,从一组 与该短语相关联的短语变体,并且基于所选择的短语变体和来自一组数据的至少一个数据,定义与真实世界事件相关联的叙述内容部分。 代码进一步表示当执行时指示处理器在显示器处输出叙述内容部分的指令。

    AUTOMATIC CONTEXT SENSITIVE LANGUAGE GENERATION, CORRECTION AND ENHANCEMENT USING AN INTERNET CORPUS
    73.
    发明申请
    AUTOMATIC CONTEXT SENSITIVE LANGUAGE GENERATION, CORRECTION AND ENHANCEMENT USING AN INTERNET CORPUS 审中-公开
    自动语境敏感语言生成,使用互联网的校正和增强

    公开(公告)号:WO2010013228A1

    公开(公告)日:2010-02-04

    申请号:PCT/IL2009/000130

    申请日:2009-02-04

    CPC classification number: G06F17/2775

    Abstract: A computer-assisted language generation system including sentence retrieval functionality, operative on the basis of an input text containing words, to retrieve from an internet corpus a plurality of sentences containing words which correspond to the words in the input text and sentence generation functionality operative using a plurality of sentences retrieved by the sentence retrieval functionality from the internet corpus to generate at least one correct sentence giving expression to the input text.

    Abstract translation: 一种包括句子检索功能的计算机辅助语言生成系统,其基于包含单词的输入文本进行操作,从互联网语料库检索包含与输入文本中的单词对应的单词的多个句子,以及使用 通过来自互联网语料库的句子检索功能检索的多个句子,以生成给予输入文本表达的至少一个正确的句子。

    MEDIA CONTENT ASSESSMENT AND CONTROL SYSTEMS
    74.
    发明申请
    MEDIA CONTENT ASSESSMENT AND CONTROL SYSTEMS 审中-公开
    媒体内容评估和控制系统

    公开(公告)号:WO2008028070A3

    公开(公告)日:2009-01-29

    申请号:PCT/US2007077286

    申请日:2007-08-30

    CPC classification number: G06F17/27 G06F17/2775 G06F17/30616

    Abstract: Computer implemented methods (100) and computing systems wherein relationships of words or phrases within a textual corpus (201) are assessed (120) via frequencies of occurrence of particular words or phrases and via frequencies of co-occurrence of particular pairs of words or phrases within defined tracts of text from within the textual corpus (201).

    Abstract translation: 计算机实现的方法(100)和计算系统,其中文本语料库(201)内的单词或短语的关系通过特定单词或短语的出现频率以及通过特定的单词或短语对的频率来评估(120) 在文本语料库(201)内部定义的文本段内。

    情報処理装置、プログラム、情報処理方法
    75.
    发明申请
    情報処理装置、プログラム、情報処理方法 审中-公开
    信息处理设备,程序和信息处理方法

    公开(公告)号:WO2009001696A1

    公开(公告)日:2008-12-31

    申请号:PCT/JP2008/060916

    申请日:2008-06-13

    CPC classification number: G06F17/2775 G06F17/3061

    Abstract: 本発明に係る情報処理装置は、文書データを記憶する記憶部2と、ユーザから分析対象となる文書データ群の情報を受付ける入力部3と、受付けた文書データ群の情報に基づいて記憶部2から当該文書データ群を取得し、当該文書データ群について形態素解析処理を行って各文書データを形態素データに分解し、所定規則に従って各形態素データからなる特徴語を生成し、生成した特徴語を用いて各文書データの傾向を示す情報を生成する制御部10と、各文書データの傾向を示す情報を出力する表示部4とを備える。これにより、ユーザが文書を解読することなく、当該文書の特徴を従来よりも容易に推測しうる情報処理装置を提供する。

    Abstract translation: 本发明的目的是提供一种信息处理装置,包括用于存储文档数据的存储单元(2) 用于从用户接收分析对象的文档数据组信息的输入单元(3) 根据接收到的文档数据组信息从存储器单元(2)获取文档数据组的控制单元(10)对文档数据组执行表单元素分析处理,以将每个文档数据解析为表单元素数据, 根据预定规则生成由每个表单元素数据组成的特征字,并且通过所生成的字生成表示每个文档数据的趋势的信息; 以及显示单元,用于输出指示每个文档数据的趋势的信息。 因此,用户不被要求分析地解释文档,但是信息处理设备可以比常规设备更容易地估计文档的特征。

    HIERARCHICAL STATE MACHINE GENERATION FOR INTERACTION MANAGEMENT USING GOAL SPECIFICATIONS
    76.
    发明申请
    HIERARCHICAL STATE MACHINE GENERATION FOR INTERACTION MANAGEMENT USING GOAL SPECIFICATIONS 审中-公开
    用目标规范进行交互管理的层次状态机生成

    公开(公告)号:WO2007143264B1

    公开(公告)日:2008-07-10

    申请号:PCT/US2007065572

    申请日:2007-03-30

    CPC classification number: G06F17/2775

    Abstract: A Statechart (300, 400) is generated automatically from a set of goals ( 200) for completion of a data model (100, 102). A set of states (304-312, 404-420) is generated corresponding to completion states of the data model, an initial pseudo-state (302) and a final state (312). Transitions are generated from the initial pseudo-state (302) to an empty state (304) of the set of states and between each state and its subset states. Outgoing transitions are generated from any state that satisfies at least one goal of the set of goals and a transition is generated from that state to the final state 312). The resulting Statechart may be used to manage an interactive dialog to complete a data model (100, 102) having a set of data fields.

    Abstract translation: 状态图(300,400)从一组目标 200)中自动生成以完成数据模型(100,102)。 对应于数据模型的完成状态,初始伪状态(302)和最终状态(312),生成一组状态(304-312,404-420)。 从初始伪状态(302)产生转变到状态集合的空状态(304)以及每个状态与其子集状态之间的转换。 从满足目标集合中的至少一个目标的任何状态生成传出转换并且从该状态到最终状态312生成转换)。 所得到的状态图可用于管理交互式对话以完成具有一组数据字段的数据模型(100,102)。

    METHOD OF LEARNING A CONTEXT OF A SEGMENT OF TEXT, AND ASSOCIATED HANDHELD ELECTRONIC DEVICE
    77.
    发明申请
    METHOD OF LEARNING A CONTEXT OF A SEGMENT OF TEXT, AND ASSOCIATED HANDHELD ELECTRONIC DEVICE 审中-公开
    学习文本部分的语境和相关的手持电子设备的方法

    公开(公告)号:WO2008000056A1

    公开(公告)日:2008-01-03

    申请号:PCT/CA2006/001087

    申请日:2006-06-30

    CPC classification number: G06F17/2223 G06F3/018 G06F17/2775 G06F17/2863

    Abstract: An improved method of learning a context of a segment of text input enables facilitated text input on an improved handheld electronic device. In response to a series of inputs, segments and other objects are analyzed to generate a proposed character interpretation of the series of inputs. Responsive to detecting a replacement of a segment of the character interpretation with another segment, a combination object comprising the another segment and a preceding object is stored. In response to another series of inputs, the combination object can be employed by a processing algorithm to ascertain a preference for the another segment in the context of the preceding object of the combination object.

    Abstract translation: 改进的一种学习文本输入段的上下文的方法使得能够在改进的手持式电子设备上实现便捷的文本输入。 响应于一系列输入,对分段和其他对象进行分析,以生成一系列输入的提出的字符解释。 响应于检测到具有另一段的字符解释段的替换,包含另一段和前一对象的组合对象被存储。 响应于另一系列输入,可以通过处理算法来采用组合对象来确定在组合对象的前一对象的上下文中对另一段的偏好。

    HIERARCHICAL STATE MACHINE GENERATION FOR INTERACTION MANAGEMENT USING GOAL SPECIFICATIONS
    78.
    发明申请
    HIERARCHICAL STATE MACHINE GENERATION FOR INTERACTION MANAGEMENT USING GOAL SPECIFICATIONS 审中-公开
    使用目标规范进行交互管理的分层状态机生成

    公开(公告)号:WO2007143264A2

    公开(公告)日:2007-12-13

    申请号:PCT/US2007065572

    申请日:2007-03-30

    CPC classification number: G06F17/2775

    Abstract: A Statechart (300, 400) is generated automatically from a set of goals ( 200) for completion of a data model (100, 102). A set of states (304-312, 404-420) is generated corresponding to completion states of the data model, an initial pseudo-state (302) and a final state (312). Transitions are generated from the initial pseudo-state (302) to an empty state (304) of the set of states and between each state and its subset states. Outgoing transitions are generated from any state that satisfies at least one goal of the set of goals and a transition is generated from that state to the final state 312). The resulting Statechart may be used to manage an interactive dialog to complete a data model (100, 102) having a set of data fields.

    Abstract translation: 用于完成数据模型(100,102)的一组目标(> 200)自动生成状态图(300,400)。 对应于数据模型的完成状态,初始伪状态(302)和最终状态(312),产生一组状态(304-312,404-420)。 从状态集合的初始伪状态(302)到空状态(304)以及每个状态与其子集状态之间生成转换。 从满足目标集合的至少一个目标的任何状态生成出局转换,并且从该状态到最终状态312产生转换。 所得到的状态图可以用于管理交互式对话以完成具有一组数据字段的数据模型(100,102)。

    PREDICTING RESULTS FOR INPUT DATA BASED ON A MODEL GENERATED FROM CLUSTERS
    79.
    发明申请
    PREDICTING RESULTS FOR INPUT DATA BASED ON A MODEL GENERATED FROM CLUSTERS 审中-公开
    基于从集群生成的模型的输入数据的预测结果

    公开(公告)号:WO2007142982A1

    公开(公告)日:2007-12-13

    申请号:PCT/US2007/012762

    申请日:2007-05-30

    Inventor: PENG, Fuchun

    CPC classification number: G06F17/2775 G06F17/278 G06F17/2863

    Abstract: A method for predicting results for input data based on a model that is generated based on clusters of related characters, clusters of related segments, and training data. The method comprises receiving a data set that includes a plurality of words in a particular language. In the particular language, words are formed by characters. Clusters of related characters are formed from the data set. A model is generated based at least on the clusters of related characters and training data. The model may also be based on the clusters of related segments. The training data includes a plurality of entries, wherein each entry includes a character and a designated result for said character. A set of input data that includes characters that have not been associated with designated results is received. The model is applied to the input data to determine predicted results for characters within the input data.

    Abstract translation: 一种用于基于基于相关字符的集群,相关段的集群和训练数据生成的模型来预测输入数据的结果的方法。 该方法包括接收包含特定语言的多个单词的数据集。 在特定的语言中,单词由字符组成。 相关字符群由数据集形成。 至少基于相关字符和训练数据的集群生成模型。 该模型也可以基于相关段的集群。 训练数据包括多个条目,其中每个条目包括字符和所述字符的指定结果。 接收到一组包含尚未与指定结果相关联的字符的输入数据。 该模型应用于输入数据,以确定输入数据中字符的预测结果。

    SYSTEM AND METHOD FOR NATURAL LANGUAGE PROCESSING AND USING ONTOLOGICAL SEARCHES
    80.
    发明申请
    SYSTEM AND METHOD FOR NATURAL LANGUAGE PROCESSING AND USING ONTOLOGICAL SEARCHES 审中-公开
    用于自然语言处理和使用本体搜索的系统和方法

    公开(公告)号:WO2006128123A2

    公开(公告)日:2006-11-30

    申请号:PCT/US2006020792

    申请日:2006-05-30

    CPC classification number: G06F17/2775 G06F17/30864

    Abstract: A search engine is disclosed that utilizes natural language processing (NLP) techniques. The search engine utilizes meaning-based natural language processing using ontological semantics in analyzing the meaning of queries and the searched text. This system analyzes Web pages and queries. The NLP method produces equivalent meanings to a sequence of user initiated words, wherein relevance parsing of the original query produces a display of queries/questions as hot links to the next round of searching without additional typing by the user.

    Abstract translation: 公开了一种利用自然语言处理(NLP)技术的搜索引擎。 搜索引擎利用基于意义的自然语言处理,使用本体论语义来分析查询和搜索文本的含义。 该系统分析网页和查询。 NLP方法产生与用户发起的单词序列的等效含义,其中原始查询的相关性解析产生作为下一轮搜索的热链接的查询/问题的显示,而不需要用户的另外打字。

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