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1. 发明授权

US07729655B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US07729655B2
公开(公告)日：2010-06-01
申请号：US10948417
申请日：2004-09-22
申请人： Jill Burstein , Daniel Marcu , Martin Sanford Chodorow , Claudia Leacock , Vyacheslav Andreyev
发明人： Jill Burstein , Daniel Marcu , Martin Sanford Chodorow , Claudia Leacock , Vyacheslav Andreyev
IPC分类号： G09B11/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

2. 发明申请

US20100233666A1 Methods for Automated Essay Analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US20100233666A1
公开(公告)日：2010-09-16
申请号：US12785721
申请日：2010-05-24
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B7/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

3. 发明授权

US06796800B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US06796800B2
公开(公告)日：2004-09-28
申请号：US10052380
申请日：2002-01-23
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B700
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.
摘要翻译：通过接受论文并确定每篇文章的每个句子中是否存在预定的一组特征，分别自动分析一篇文章。对于文章中的每个句子，计算句子是某个话语元素类别成员的概率。概率基于确定特征集中的每个特征是否存在或不存在。此外，根据计算的概率，选择句子作为话语元素类别的选择。

4. 发明授权

US08452225B2 Methods for automated essay analysis 有权
标题翻译：自动散文分析方法
公开(公告)号：US08452225B2
公开(公告)日：2013-05-28
申请号：US12785721
申请日：2010-05-24
申请人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
发明人： Jill Burstein , Daniel Marcu , Vyacheslav Andreyev , Martin Sanford Chodorow , Claudia Leacock
IPC分类号： G09B11/00 , G09B7/00
CPC分类号： G09B7/00 , G06F17/274 , G09B7/02
摘要： Systems and methods for creating a mathematical model for use in identifying discourse elements are described. A plurality of first essays relating to a particular subject are received, where each first essay is in an electronic format. Annotations for each first essay are received, where each annotation identifies at least one discourse element. Features are identified with a processor, where each feature is exhibited by at least one identified discourse element. Empirical frequencies are computed with a processor, where each empirical frequency relates to the presence of a feature with respect to the identified discourse elements across the plurality of first essays. Each empirical frequency is associated with the related identified discourse element with a processor. The empirical frequencies are utilized to select discourse elements in at least one second essay.
摘要翻译：描述了用于创建用于识别话语元素的数学模型的系统和方法。接收与特定主题相关的多个第一散文，其中每个第一篇文章都是电子格式。收到每篇第一篇文章的注释，其中每个注释标识至少一个话语元素。特征用处理器识别，其中每个特征由至少一个所标识的话语元素展现。经验频率用处理器计算，其中每个经验频率涉及相对于所述多个第一散文中的所识别的话语元素的特征的存在。每个经验频率与具有处理器的相关的识别的话语元素相关联。使用经验频率至少在第二篇文章中选择话语元素。

5. 发明申请

US20100036654A1 Systems and methods for identifying collocation errors in text 有权
标题翻译：用于识别文本中的并置错误的系统和方法
公开(公告)号：US20100036654A1
公开(公告)日：2010-02-11
申请号：US12458847
申请日：2009-07-24
申请人： Yoko Futagi , Paul Douglas Deane , Martin Sanford Chodorow
发明人： Yoko Futagi , Paul Douglas Deane , Martin Sanford Chodorow
IPC分类号： G06F17/27
CPC分类号： G06F17/277
摘要： Systems and methods for detecting collocation errors in a text sample using a reference database from a corpus are provided. Collocation candidates are identified within the text sample based upon syntactic patterns in the text sample. Whether a given collocation candidate contains a collocation error is detected, the detecting including: determining a first association measure using the reference database for the given collocation candidate; determining whether the first association measure satisfies a predetermined condition and identifying the given collocation candidate as proper if the first association measure satisfies the predetermined condition; determining an additional association measure for a variation of the given collocation candidate using the reference database; and determining whether or not the collocation candidate contains an error based upon the additional association measure of the variation.
摘要翻译：提供了使用来自语料库的参考数据库来检测文本样本中的并置错误的系统和方法。基于文本样本中的句法模式，在文本样本中识别配置候选。检测给定的搭配候选是否包含搭配错误，检测包括：使用给定搭配候选者的参考数据库确定第一关联度量; 确定所述第一关联度量是否满足预定条件，并且如果所述第一关联度量满足所述预定条件，则将所述给定搭配候选确定为适当的; 使用参考数据库确定给定搭配候选者的变化的附加关联度量; 以及基于所述变化的附加关联度量来确定所述搭配候选物是否包含错误。

6. 发明授权

US08473278B2 Systems and methods for identifying collocation errors in text 有权
标题翻译：用于识别文本中的并置错误的系统和方法
公开(公告)号：US08473278B2
公开(公告)日：2013-06-25
申请号：US12458847
申请日：2009-07-24
申请人： Yoko Futagi , Paul Douglas Deane , Martin Sanford Chodorow
发明人： Yoko Futagi , Paul Douglas Deane , Martin Sanford Chodorow
IPC分类号： G06F17/27
CPC分类号： G06F17/277
摘要： Systems and methods for detecting collocation errors in a text sample using a reference database from a corpus are provided. Collocation candidates are identified within the text sample based upon syntactic patterns in the text sample. Whether a given collocation candidate contains a collocation error is detected, the detecting including: determining a first association measure using the reference database for the given collocation candidate; determining whether the first association measure satisfies a predetermined condition and identifying the given collocation candidate as proper if the first association measure satisfies the predetermined condition; determining an additional association measure for a variation of the given collocation candidate using the reference database; and determining whether or not the collocation candidate contains an error based upon the additional association measure of the variation.
摘要翻译：提供了使用来自语料库的参考数据库来检测文本样本中的并置错误的系统和方法。基于文本样本中的句法模式，在文本样本中识别配置候选。检测给定的搭配候选是否包含搭配错误，检测包括：使用给定搭配候选者的参考数据库确定第一关联度量; 确定所述第一关联度量是否满足预定条件，并且如果所述第一关联度量满足所述预定条件，则将所述给定搭配候选确定为适当的; 使用参考数据库确定给定搭配候选者的变化的附加关联度量; 以及基于所述变化的附加关联度量来确定所述搭配候选物是否包含错误。

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