形态学习作为原则性论证Morphological Learning as Principled Argument |
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课程网址: | http://videolectures.net/pcw06_johnsen_mlpa/ |
主讲教师: | Lars G Johnsen |
开课单位: | 卑尔根大学 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 我们开发了一个形态学学习者,它评估支持特定主张的证据,即一串字母是一个有意义的分布单元。分布证据是通过语素的选择性质来评价的,而指向意义的证据则是通过观察词干和词之间的关系来模拟的。为了评估一个被提议的词缀,它通过比较词缀出现的所有可能词干与同样以单词出现的特定子集来获得一个意义的概率度量。由于词干是一个词的意义的证据,因此词干与词缀的整个可能词干集之间的比率为词缀提供了一个预测概率度量,该度量衡量词干与有意义词干结合的可能性。该方法结合词干和词缀的选择统计,为确定一个给定词的最佳形态结构提供了依据。英语成绩显示了45分的综合精度和回忆能力。 |
课程简介: | We develop a morphological learner that evaluates evidence supporting specific claims that a string of letters is a distributional meaningful unit. The distributional evidence is evaluated by selectional properties of morphs, while evidence towards meaning is modelled by looking at the relationship between stems and words. To assess a proposed affix, it gets a probability measure of meaning by comparing all the possible stems the affix occur with to the particular subset that also occur as words. Since for a stem to be a word counts as evidence towards its meaning, the ratio formed by taking stems that are words to the whole set of possible stems for an affix gives a predictive probability measure for the affix that measures the chance that it has combined with a meaningful stem. This measure, taken in conjunction with the selectional statistics of stems and affixes, provides a basis for deciding on the best morphological structure for a given word. The results for English show a combined precision and recall of 45. |
关 键 词: | 计算机科学; 自然语言处理; 关系建模 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-01:wuyq |
阅读次数: | 45 |