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1. 发明授权

US06687689B1 System and methods for document retrieval using natural language-based queries 失效
标题翻译：使用自然语言查询的文档检索系统和方法
公开(公告)号：US06687689B1
公开(公告)日：2004-02-03
申请号：US09613849
申请日：2000-07-11
申请人： Pascale Fung , Chi Shun Cheung , Yi Guan , Yongsheng Yang
发明人： Pascale Fung , Chi Shun Cheung , Yi Guan , Yongsheng Yang
IPC分类号： G06F1730
CPC分类号： G06F17/30672 , Y10S707/99933 , Y10S707/99936
摘要： A system and associated methods identify documents relevant to an inputted natural-language user query. One associate method includes: selecting a set of keywords from the user query; determining at least one word, not necessarily found in the user query, that is semantically similar to a keyword of the set of keywords; using the set of keywords and the at least one word to determining a subset of word sets from a database of pre-stored word sets, wherein the pre-stored word sets are each pre-associated with at least one document; determining a plurality of word sets, from the subset of word sets, that is most semantically similar to the user query; and identifying documents that have been pre-associated with the plurality of word sets as being relevant to the natural-language user query.
摘要翻译：系统和相关方法识别与输入的自然语言用户查询相关的文档。一个关联方法包括：从用户查询中选择一组关键字; 确定语义上类似于该组关键字的关键词的在用户查询中不一定找到的至少一个单词; 使用所述一组关键字和所述至少一个单词来从预先存储的单词集的数据库中确定单词组的子集，其中所述预先存储的单词集每个都与至少一个文档预先关联; 从所述词集的子集中确定在语义上类似于所述用户查询的多个单词集合; 以及将已经与所述多个单词集预先相关联的文档识别为与所述自然语言用户查询相关。

2. 发明授权

US06810376B1 System and methods for determining semantic similarity of sentences 失效
标题翻译：用于确定句子的语义相似性的系统和方法
公开(公告)号：US06810376B1
公开(公告)日：2004-10-26
申请号：US09614465
申请日：2000-07-11
申请人： Yi Guan , Pascale Fung
发明人： Yi Guan , Pascale Fung
IPC分类号： G06F1727
CPC分类号： G06F17/2775 , G06F17/2785
摘要： A system and associated methods determine the semantic similarity of different sentences to one another. A particularly appropriate application of the present invention is to automatic processing of Chinese-language text, for example, for document retrieval. A method for computing the similarity between a first and a second set of words comprises identifying a word of the second set of words as being most similar to a word of the first set of words, wherein the word of the second set of words need not be identical to the word of the first set of words; and computing a score of the similarity between the first and second set of words based at least in part on the word of the second set of words.
摘要翻译：系统和相关联的方法确定不同句子彼此的语义相似性。本发明的特别合适的应用是例如用于文档检索的中文文本的自动处理。一种用于计算第一和第二组词之间的相似度的方法包括将第二组词的单词识别为与第一组单词最相似的单词，其中第二组单词的单词不需要与第一组单词相同; 以及至少部分地基于所述第二组词的单词计算所述第一和第二组词之间的相似度的得分。

3. 发明申请

US20080147404A1 System and methods for accent classification and adaptation 审中-公开
标题翻译：口音分类和适应的系统和方法
公开(公告)号：US20080147404A1
公开(公告)日：2008-06-19
申请号：US09858334
申请日：2001-05-15
申请人： Wai Kat Liu , Pascale Fung
发明人： Wai Kat Liu , Pascale Fung
IPC分类号： G10L15/00
CPC分类号： G10L15/005 , G10L17/26
摘要： Speech is processed that may be colored by speech accent. A method for recognizing speech includes maintaining a model of speech accent that is established based on training speech data, wherein the training speech data includes at least a first set of training speech data, and wherein establishing the model of speech accent includes not using any phone or phone-class transcription of the first set of training speech data. Related systems are also presented. A system for recognizing speech includes an accent identification module that is configured to identify accent of the speech to be recognized; and a recognizer that is configured to use models to recognize the speech to be recognized, wherein the models include at least an acoustic model that has been adapted for the identified accent using training speech data of a language, other than primary language of the speech to be recognized, that is associated with the identified accent. Related methods are also presented.
摘要翻译：语音被处理，可以用语音口音着色。用于识别语音的方法包括维持基于训练语音数据建立的语音口音模型，其中所述训练语音数据至少包括第一组训练语音数据，并且其中建立语音口音模型包括不使用任何电话或电话级转录的第一组训练语音数据。还介绍了相关系统。用于识别语音的系统包括：重音识别模块，被配置为识别要被识别的话音的重音; 以及识别器，其被配置为使用模型来识别要被识别的语音，其中，所述模型至少包括使用语言的训练语音数据适配于所识别的口音的声学模型，所述语音的主要语言被识别，这与识别的口音相关联。还提出了相关方法。

4. 发明申请

US20060074664A1 System and method for utterance verification of chinese long and short keywords 审中-公开
标题翻译：中文长短关键词话语验证系统及方法
公开(公告)号：US20060074664A1
公开(公告)日：2006-04-06
申请号：US09758034
申请日：2001-01-09
申请人： Kwok Lam , Pascale Fung
发明人： Kwok Lam , Pascale Fung
IPC分类号： G10L15/28
CPC分类号： G10L15/142 , G10L2015/027
摘要： An utterance verification system and method includes: a new formulation of log-likelihood ratio (LLR) that discriminates between true and mis-recognition scores; a new dynamic threshold setting that permits each keyword to have its own individual threshold; and/or use of higher resolution subword units for HMM based (Hidden Markov Model-based) utterance verification. The system and method are especially suited for automated processing of speech of syllable-based languages, for example, Chinese (for example, Mandarin or Cantonese).
摘要翻译：一种话语验证系统和方法包括：区分真实和错误识别分数的对数似然比（LLR）的新公式; 新的动态阈值设置，允许每个关键字具有其自己的单独阈值; 和/或使用更高分辨率的子单位用于基于HMM（基于隐马尔可夫模型）的话语验证。该系统和方法特别适用于基于音节语言的语音的自动处理，例如中文（例如，普通话或粤语）。

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