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Semantic server

Semantic server
语义服务器
批准号:
345537-2007
负责人:
Mewhort, Douglas
金额:
$2.74万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments - Category 1 (<$150,000)
财政年份:
2006
资助国家:
加拿大
项目状态:
已结题
起止时间:
2006-01-01 至 2007-12-31
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项目摘要

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中文摘要
翻译
Beagle(聚合语言环境的边界编码)是一种计算学习模型;Beagle应用于语言,通过阅读大样本的文本(大约相当于一份日报十年的价值)来获得单词的意义。Beagle模拟经典的语义实验,包括典型性判断、语义分类、语义启动和句子补全任务。它目前是最先进的。我正在请求一台实验室计算机,它将允许我通过向3个方向扩展来继续对Beagle的研究:学习、学习和翻译。Beagle为大约90,000个单词的每个单词创建一个向量(维度~3000);向量包含该单词在文本中的使用历史,包括句子中单词的顺序。从英语派生的逐字相似度矩阵应该与来自法语的相应矩阵对齐。我希望通过使用Beagle的语义作为自动翻译的基础来扩展Beagle。我们知道,背景知识决定记忆任务的表现。这是因为,在此之前,语义一直很难处理,目前的记忆模型试图巧妙地解决这个问题。Beagle的矢量使知识感知的记忆模型成为可能。我希望利用Beagle的矢量来表示真实世界的知识。我希望开发一个知识感知的记忆模型。Beagle的矢量代表语言和思维。在Beagle的英语语义空间中,妻子与情人关系密切。尽管这种关系并不一定在所有文化中都是正确的:但在某些文化中,妻子可能比情人更接近动产。在研究跨两种文化的整个词汇的差异时,比格尔的语义分析可能会帮助我们理解思维模式的差异--甚至可能理解恐怖分子的思维方式。
英文摘要
BEAGLE (Bound Encoding of the Aggregate Language Environment) is a computational model of learning; applied to language, it acquires the meaning of words by "reading" large samples of text (on the order of a decade's worth of a daily newspaper).  BEAGLE simulates classic semantic experiments, including typicality judgments, classification to semantic categories, semantic priming, and sentence-completion tasks.  It is currently state-of-the art.   I am requesting a laboratory computer that will allow me to continue work on BEAGLE by extending it in 3 directions:         Translation.   BEAGLE creates a vector (dimensionality ~3000) for each of about 90,000 words; the vector contains the history of that word's use in the text, including the order of words in the sentences.  A word-by-word similarity matrix derived from English should line up with the corresponding matrix from French.  I wish to extend BEAGLE by using its semantics as the basis for automatic translation.         Understanding Memory.   We have known for 50 years background knowledge determines performance in memory tasks.  Because semantics have, heretofore, been intractable, current models of memory try to finesse the issue.  BEAGLE's vectors make possible a knowledge-aware model of memory.  I wish to develop a knowledge-aware model of memory using BEAGLE's vectors to represent real-world knowledge.           Language and thought.   Wife is close to lover  in BEAGLE's English semantic space.  That relation is not necessarily true in all cultures:  In some, wife may be closer to chattel than lover.  Looking at such differences in the whole lexicon across two cultures, BEAGLE's semantic analysis may help us to understand the differences in thought patterns-perhaps even to understand how terrorists think.
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Understanding memory and knowledge
  • 批准号:
    318-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.42万
  • 财政年份:
    2017
  • 负责人:
    Mewhort, Douglas
  • 依托单位:
Understanding memory and knowledge
  • 批准号:
    318-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.42万
  • 财政年份:
    2016
  • 负责人:
    Mewhort, Douglas
  • 依托单位:
Understanding memory and knowledge
  • 批准号:
    318-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.42万
  • 财政年份:
    2015
  • 负责人:
    Mewhort, Douglas
  • 依托单位:
Understanding memory and knowledge
  • 批准号:
    318-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.42万
  • 财政年份:
    2014
  • 负责人:
    Mewhort, Douglas
  • 依托单位:
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