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公开(公告)号：US07783633B2
公开(公告)日：2010-08-24
申请号：US10992919
申请日：2004-11-19
CPC分类号： G06F17/289
摘要： An improved method, apparatus, and computer instructions displaying search results. A query is received in a first language. A snippet in the document containing the word is selected in response to identifying a document in a second language in which the document contains a word matching a query word in the query. This snippet is translated into the first language.
摘要翻译： 显示搜索结果的改进的方法，装置和计算机指令。 以第一语言接收查询。 选择包含该单词的文档中的片段以响应于以第二语言标识文档，其中文档包含与查询中的查询词匹配的单词。 该片段被翻译成第一种语言。
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公开(公告)号：US5987404A
公开(公告)日：1999-11-16
申请号：US593032
申请日：1996-01-29
申请人： Stephen Andrew Della Pietra , Mark Edward Epstein , Martin Franz , Joshua David Sherer Koppelman , Salim Estephan Roukos , Robert Todd Ward
发明人： Stephen Andrew Della Pietra , Mark Edward Epstein , Martin Franz , Joshua David Sherer Koppelman , Salim Estephan Roukos , Robert Todd Ward
CPC分类号： G06F17/2785 , G06F17/289
摘要： The invention proposes using statistical methods to do natural language understanding. The key notion is that there are "strings" of words in the natural language, that correspond to a single semantic concept. One can then define an alignment between an entire semantic meaning (consisting of a set of semantic concepts), and the English. This is modeled using P(E,A.vertline.S). One can model p(S) separately. This allows each parameter to be modeled using many different statistical models.
摘要翻译： 本发明提出使用统计学方法进行自然语言理解。 关键的概念是自然语言中有“字符串”的单词，这对应于单一的语义概念。 然后，可以定义整个语义（由一组语义概念组成）和英语之间的对齐。 这是使用P（E，A | S）建模的。 可以分别对p（S）建模。 这允许使用许多不同的统计模型对每个参数进行建模。
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3.发明申请Prioritized Incremental Asynchronous Machine Translation of Structured Documents 有权结构化文档的优先增量异步机器翻译公开(公告)号：US20090158137A1
公开(公告)日：2009-06-18
申请号：US11956403
申请日：2007-12-14
CPC分类号： G06F17/289 , G06F17/2854 , G06F17/2872
摘要： Techniques for translating and presenting text in a structured document are provided. A structured document including text to be translated is received. At least one portion of the text to be translated is translated into at least one representation of translated text of a specific language. The translation is carried out in accordance with a prioritization schedule. Further, the representation of translated text is provided by at least first and second servers, the first server independently providing the representation of translated text of a first quality and the second server independently providing the representation of translated text of a second quality, the first quality being different than the second quality. As the text is translated, the representation of translated text is presented immediately when available.
摘要翻译： 提供了在结构化文档中翻译和呈现文本的技术。 收到包含要翻译的文本的结构化文档。 要翻译的文本的至少一部分被翻译成特定语言的翻译文本的至少一个表示。 翻译是按照优先顺序进行的。 此外，翻译文本的表示由至少第一和第二服务器提供，第一服务器独立地提供第一质量的翻译文本的表示，而第二服务器独立地提供第二质量的翻译文本的表示，第一质量 不同于第二品质。 翻译文本时，翻译文本的表示可以立即提供。
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4.发明授权公开(公告)号：US09418061B2
公开(公告)日：2016-08-16
申请号：US11956403
申请日：2007-12-14
CPC分类号： G06F17/289 , G06F17/2854 , G06F17/2872
摘要： Techniques for translating and presenting text in a structured document are provided. A structured document including text to be translated is received. At least one portion of the text to be translated is translated into at least one representation of translated text of a specific language. The translation is carried out in accordance with a prioritization schedule. Further, the representation of translated text is provided by at least first and second servers, the first server independently providing the representation of translated text of a first quality and the second server independently providing the representation of translated text of a second quality, the first quality being different than the second quality. As the text is translated, the representation of translated text is presented immediately when available.
摘要翻译： 提供了在结构化文档中翻译和呈现文本的技术。 收到包含要翻译的文本的结构化文档。 要翻译的文本的至少一部分被翻译成特定语言的翻译文本的至少一个表示。 翻译是按照优先顺序进行的。 此外，翻译文本的表示由至少第一和第二服务器提供，第一服务器独立地提供第一质量的翻译文本的表示，而第二服务器独立地提供第二质量的翻译文本的表示，第一质量 不同于第二品质。 翻译文本时，翻译文本的表示可以立即提供。
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5.发明授权Statistical translation system with features based on phrases or groups of words 失效具有基于短语或词组的特征的统计翻译系统
公开(公告)号：US5991710A
公开(公告)日：1999-11-23
申请号：US859586
申请日：1997-05-20
IPC分类号： G06F17/28
CPC分类号： G06F17/2818
摘要： A system for translating a first word set in a source language into a second word set in a target language, the system comprising: input means for inputting the first word set into the system; tagging means for tagging the first word set input to the system so as to at least substantially reduce non-essential variability in the first word set; translation means including a single a posteriori conditional probability model and a target candidate store for storing target language candidate word sets, wherein the translation means employs the single model to evaluate the target language candidate word sets in order to select the target language candidate word set having a best score with respect to the first word set; and output means for outputting the best scoring target language candidate word set as the second word set in the target language.
摘要翻译： 一种用于将源语言中的第一单词集合翻译为以目标语言集合的第二单词的系统，所述系统包括：输入装置，用于将所述第一单词集合输入到所述系统中; 标记装置，用于标记输入到系统的第一单词集，以便至少基本上减少第一单词集中的非本质可变性; 包括单个后验条件概率模型和用于存储目标语言候选词组的目标候选存储器的翻译装置，其中所述翻译装置使用所述单个模型来评估所述目标语言候选词组，以便选择具有 相对于第一个单词集的最佳得分; 以及输出装置，用于输出作为目标语言中设置的第二单词设置的最佳得分目标语言候选词。
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公开(公告)号：US07464024B2
公开(公告)日：2008-12-09
申请号：US10826707
申请日：2004-04-16
申请人： Xiaoqiang Luo , Robert Todd Ward
发明人： Xiaoqiang Luo , Robert Todd Ward
IPC分类号： G06F17/27
CPC分类号： G06F17/271 , G06F17/2863
摘要： A parser is provided that parses a Chinese text stream at the character level and builds a syntactic structure of Chinese character sequences. A character-based syntactic parse tree contains word boundaries, part-of-speech tags, and phrasal structure information. Syntactic knowledge constrains the system when it determines word boundaries. A deterministic procedure is used to convert word-based parse trees into character-based trees. Character-level tags are derived from word-level part-of-speech tags and word-boundary information is encoded with a positional tag. Word-level parts-of-speech become a constituent label in character-based trees. A maximum entropy parser is then built and tested.
摘要翻译： 提供一个解析器，在字符级别分析中文文本流，构建汉字序列的句法结构。 基于字符的句法解析树包含词边界，词性标签和短语结构信息。 语义知识约束系统确定字边界时。 使用确定性过程将基于字的解析树转换为基于字符的树。 字符级标签是从词级词义标签中得出的，而字边界信息用位置标签编码。 词级词性成为基于字符的树的组成标签。 然后构建和测试最大熵解析器。
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