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“理想”语言学习与心理资源问题

“Ideal” Language Learning and the Psychological Resource Problem
课程网址: http://videolectures.net/mitworld_sakas_ideal/  
主讲教师: William Gregory Sakas
开课单位: 亨特学院
开课时间: 2012-02-10
课程语种: 英语
中文简介:
一些语言学家研究原则上可以学到什么,但威廉格雷戈里萨卡斯问“可行性问题是如何进行有效的学习。”这个讲座的重点是这样的研究,它的历史前因,以及麻烦Sakas和他的同事的问题.Sakas提供了一个快速的建模参数设置的概念性调查,从乔姆斯基到Yang和Lightfoot。在“Pinker的精神”中,Sakas认为任何可行学习者的计算模型都必须与人类孩子的心理资源相容。所以Sakas的实验室试图将“学习者心理计算资源的方式所需要的内容归结为基于有限的句子样本的目标语法。”该实验室已经创建了“一个庞大的,人为的,但在语言上动机的参数化语言领域,用于评估学习模型,“超过160万个解析句子。 Sakas和他的同事比较了不同参数设置模型的效率,尝试解决噪声和过度泛化等建模问题,并评估刺激声明的丰富程度。根据这项工作 - “整个参数设置企业”说Sakas,是“将资源限制在可以合理地归因于幼儿的资源”的努力,以便减少先天知识的复杂性通常限制了每个句子的输入和处理的数量和复杂性。棘手的问题仍然是找到一种“心理计算上可口的方式”来建立一个将语法拟合到多个句子的过程。“我们在这项努力中感到孤独,”Sakas说。虽然最近有很多关于建模语法习得,数学和统计/概率学习的有趣工作,但“我们还没有把它带入我们的模型中,因为它似乎并不关心资源限制。”理想学习者其他语言学家讨论“不是一个关心资源问题的学习者。”Sakas问“这项工作是否意图反映心理现实。”他指出,“对儿童语言学习者的刺激的有效丰富性取决于孩子的不理想从听到的话语中提取信息的能力。“关键在于模仿孩子对她可用的语言输入做了什么。 Sakas最后提出一个问题:“有没有人试图解决心理资源问题?
课程简介: Some linguists study what can be learned in principle, but William Gregory Sakas asks “the feasibility question -- how efficient learning takes place.” This talk focuses on such research, its historical antecedents, and issues that trouble Sakas and his colleagues. Sakas provides a swift conceptual survey of modeling parameter-setting, from Chomsky, through Yang and Lightfoot. In “the spirit of Pinker,” Sakas believes that any computational model of a feasible learner must be compatible with the psychological resources of a human child. So Sakas’s lab tries to zero in on “what is needed in the way of psycho-computational resources in a learner to converge on the target grammar on the basis of a limited sample of sentences.” The lab has created “a large, artificial but linguistically motivated domain of parameterized languages for evaluating learning models,” with more than 1.6 million parsed sentences. Sakas and his colleagues compare the efficiencies of different parameter-setting models, attempt to solve such modeling problems as noise and over-generalization, as well as evaluate richness of the stimulus claims. Underlying this work – “the whole parameter setting enterprise” -- says Sakas, is the effort “to limit the resources to what can reasonably be attributed to young children,” so as to reduce the complexity of innate knowledge -- generally limit the amount and complexity of input and processing of each sentence. The sticky problem remains of finding a “psycho-computationally palatable way” of modeling a process of fitting grammar to multiple sentences. “We feel alone in this endeavor,” says Sakas. While there’s lots of interesting recent work on modeling syntax acquisition, mathematical, and statistical/probabilistic learning, “we haven’t been able to take it into our models, because it doesn’t seem to be concerned with resource limits.” The ideal learner other linguists discuss “is not a learner concerned with resource issues.” Sakas asks if “this work is intended to mirror psychological reality.” He notes, “The effective richness of the stimulus for a child language learner depends on the child’s non-ideal capacity to extract information from heard utterances.” The point is to model what a child really does with the linguistic input available to her. Sakas concludes with a question: “Is there anyone out there trying to solve the psychological resource problem?
关 键 词: 学习模型; 过度泛化; 语言输入
课程来源: 视频讲座网
最后编审: 2019-06-12:lxf
阅读次数: 123