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1. 发明授权

US5477451A Method and system for natural language translation 失效
标题翻译：自然语言翻译方法与系统
公开(公告)号：US5477451A
公开(公告)日：1995-12-19
申请号：US736278
申请日：1991-07-25
申请人： Peter F. Brown , John Cocke , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Jennifer C. Lai , Robert L. Mercer
发明人： Peter F. Brown , John Cocke , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Jennifer C. Lai , Robert L. Mercer
IPC分类号： G10L15/14 , G06F17/27 , G06F17/28 , G10L15/00 , G06F17/20
CPC分类号： G06F17/2818 , G06F17/2755 , G06F17/2845 , G06F17/2872
摘要： The present invention is a system for translating text from a first source language into a second target language. The system assigns probabilities or scores to various target-language translations and then displays or makes otherwise available the highest scoring translations. The source text is first transduced into one or more intermediate structural representations. From these intermediate source structures a set of intermediate target-structure hypotheses is generated. These hypotheses are scored by two different models: a language model which assigns a probability or score to an intermediate target structure, and a translation model which assigns a probability or score to the event that an intermediate target structure is translated into an intermediate source structure. Scores from the translation model and language model are combined into a combined score for each intermediate target-structure hypothesis. Finally, a set of target-text hypotheses is produced by transducing the highest scoring target-structure hypotheses into portions of text in the target language. The system can either run in batch mode, in which case it translates source-language text into a target language without human assistance, or it can function as an aid to a human translator. When functioning as an aid to a human translator, the human may simply select from the various translation hypotheses provided by the system, or he may optionally provide hints or constraints on how to perform one or more of the stages of source transduction, hypothesis generation and target transduction.
摘要翻译：本发明是用于将文本从第一源语言翻译成第二目标语言的系统。系统将概率或分数分配给各种目标语言翻译，然后显示或使其他可用的最高得分翻译。源文本首先被转换成一个或多个中间结构表示。从这些中间源结构生成一组中间目标结构假设。这些假设用两种不同的模型进行评分：将中间目标结构分配概率或分数的语言模型，以及将中间目标结构转换为中间源结构的事件分配概率或分数的翻译模型。翻译模型和语言模型的得分被组合为每个中间目标结构假说的综合得分。最后，通过将目标语言文本的最高得分目标结构假设转换为部分文本来产生一组目标文本假设。该系统可以以批处理模式运行，在这种情况下，它将源语言文本转换为目标语言，而无需人工帮助，或者可以作为人类翻译器的辅助功能。人类可以简单地从系统提供的各种翻译假设中进行选择，或者可选择地提供关于如何执行源转换，假设生成的一个或多个阶段的提示或限制，靶转导。

2. 发明授权

US5293584A Speech recognition system for natural language translation 失效
标题翻译：自然语言翻译语音识别系统
公开(公告)号：US5293584A
公开(公告)日：1994-03-08
申请号：US887205
申请日：1992-05-21
申请人： Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Robert L. Mercer
发明人： Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Frederick Jelinek , Robert L. Mercer
IPC分类号： G10L15/18 , G10L5/00
CPC分类号： G10L15/18
摘要： A speech recognition system displays a source text of one or more words in a source language. The system has an acoustic processor for generating a sequence of coded representations of an utterance to be recognized. The utterance comprises a series of one or more words in a target language different from the source language. A set of one or more speech hypotheses, each comprising one or more words from the target language, are produced. Each speech hypothesis is modeled with an acoustic model. An acoustic match score for each speech hypothesis comprises an estimate of the closeness of a match between the acoustic model of the speech hypothesis and the sequence of coded representations of the utterance. A translation match score for each speech hypothesis comprises an estimate of the probability of occurrence of the speech hypothesis given the occurrence of the source text. A hypothesis score for each hypothesis comprises a combination of the acoustic match score and the translation match score. At least one word of one or more speech hypotThis invention was made with Government support under Contract Number N00014-91-C-0135 awarded by the office of Naval Research. The Government has certain rights in this invention.
摘要翻译：语音识别系统以源语言显示一个或多个单词的源文本。该系统具有声学处理器，用于产生要识别的话语的编码表示序列。话语包括与源语言不同的目标语言中的一系列一个或多个单词。产生一组一个或多个语音假设，每个语音假设包括来自目标语言的一个或多个单词。每个言语假说都用声学模型建模。每个语音假设的声匹配分数包括语音假设的声学模型与语音的编码表示序列之间的匹配的接近度的估计。每个语音假设的翻译匹配分数包括给定源文本的出现的语音假设的发生概率的估计。每个假设的假设得分包括声匹配分数和翻译匹配分数的组合。输出具有最佳假设得分的一个或多个语音假设的至少一个字作为识别结果。

3. 发明授权

US5510981A Language translation apparatus and method using context-based translation models 失效
标题翻译：使用基于上下文的翻译模型的语言翻译设备和方法
公开(公告)号：US5510981A
公开(公告)日：1996-04-23
申请号：US144913
申请日：1993-10-28
申请人： Adam L. Berger , Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Andrew S. Kehler , Robert L. Mercer
发明人： Adam L. Berger , Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Andrew S. Kehler , Robert L. Mercer
IPC分类号： G06F17/28
CPC分类号： G06F17/2818 , G06F17/2827
摘要： An apparatus for translating a series of source words in a first language to a series of target words in a second language. For an input series of source words, at least two target hypotheses, each including a series of target words, are generated. Each target word has a context comprising at least one other word in the target hypothesis. For each target hypothesis, a language model match score including an estimate of the probability of occurrence of the series of words in the target hypothesis. At least one alignment connecting each source word with at least one target word in the target hypothesis is identified. For each source word and each target hypothesis, a word match score including an estimate of the conditional probability of occurrence of the source word, given the target word in the target hypothesis which is connected to the source word and given the context in the target hypothesis of the target word which is connected to the source word. For each target hypothesis, a translation match score including a combination of the word match scores for the target hypothesis and the source words in the input series of source words. A target hypothesis match score including a combination of the language model match score for the target hypothesis and the translation match score for the target hypothesis. The target hypothesis having the best target hypothesis match score is output.
摘要翻译：一种用于将第一语言的一系列源词翻译为第二语言的一系列目标词的装置。对于一个输入序列的源字，产生至少两个目标假设，每个包含一系列目标词。每个目标词具有包含目标假设中的至少一个其他单词的上下文。对于每个目标假设，语言模型匹配得分，包括目标假设中的一系列单词的发生概率的估计。识别将每个源字与目标假设中的至少一个目标字连接的至少一个对齐。对于每个源词和每个目标假设，给出包括源词出现的条件概率的估计的词匹配分数，给出连接到源词并且给定目标假设的上下文的目标假设中的目标词连接到源字的目标字。对于每个目标假设，翻译匹配分数包括目标假设的词匹配分数与输入源词序列中的源词组合。目标假设匹配得分，包括目标假设的语言模型匹配分数与目标假设的翻译匹配得分的组合。输出具有最佳目标假设匹配得分的目标假设。

4. 发明授权

US5267345A Speech recognition apparatus which predicts word classes from context and words from word classes 失效
标题翻译：语音识别装置，用于从上下文中预测单词类，并从单词类中预测单词
公开(公告)号：US5267345A
公开(公告)日：1993-11-30
申请号：US834063
申请日：1992-02-10
申请人： Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Robert L. Mercer , Philip S. Resnik , Stanley S. Chen
发明人： Peter F. Brown , Stephen A. Della Pietra , Vincent J. Della Pietra , Robert L. Mercer , Philip S. Resnik , Stanley S. Chen
IPC分类号： G10L15/10 , G06F9/44 , G06F17/27 , G10L15/18 , G10L15/28 , G10L9/00
CPC分类号： G10L15/197
摘要： A language generator for a speech recognition apparatus scores a word-series hypothesis by combining individual scores for each word in the hypothesis. The hypothesis score for a single word comprises a combination of the estimated conditional probability of occurrence of a first class of words comprising the word being scored, given the occurrence of a context comprising the words in the word-series hypothesis other than the word being scored, and the estimated conditional probability of occurrence of the word being scored given the occurrence of the first class of words, and given the occurrence of the context. An apparatus and method are provided for classifying multiple series of words for the purpose of obtaining useful hypothesis scores in the language generator and speech recognition apparatus.

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