Morphological Decomposition in Derived Word Recognition: Single Trial Correlational MEG Studies of Morphology Down to the Roots

这个项目将研究对形态复杂的单词的理解，比如可以分解成碎片的“可知”。语言学家和心理语言学家对以下问题意见不一：说话者是否将所有由可能独立的词干(“Know”本身是动词)和可识别后缀(“-able”通常由动词构成形容词)组成的单词都分析为复合词，以及是否所有或任何这样的单词都是通过分解成它们的部分来识别的。这个问题对于像“可容忍”这样的词尤其有争议(“Toler-”也出现在“可容忍”一词中，但在其他地方没有)。这个项目使用脑磁图(MEG)大脑监测方法来测试关于语言表达和神经计算相互作用的理论。该理论要求，在语言理论的推动下，每一次分解都是识别单词过程中必要的计算步骤，并且每一次计算都映射到单词识别过程中特定时间延迟的一组大脑区域的神经活动。在这个项目中，受试者将阅读或聆听单个单词和非单词，以判断他们的单词状态，同时用脑磁图监测他们大脑中的电活动。将开发一种新的分析技术，将每个受试者对每个单词的大脑反应与连续的刺激变量相关联，例如词频、后缀频率和在特定词干之后具有特定后缀的概率。在给定足够数量的受试者和刺激的情况下，这项技术可以提供关于单个单词和单个受试者的有意义的数据。例如，像“脆弱的”这样的词，其词根“Vallner-”在英语中没有出现在其他地方，那么它是否也被认为是“可知的”或“可容忍的”呢？该项目应该阐明语言学理论、心理语言学模型和大脑活动之间的联系，同时测试关于理解形态复杂单词的假设。由于对于正在测试的词法理论来说，单词的结构涉及与句子结构相同的计算和表示，因此支持对诸如“可知的”和“可容忍的”这样的单词进行完全的根部分解将对语言分析的所有层面的语言处理产生影响。该项目开发的单项试验脑磁图分析技术应大大有助于语言障碍人群的诊断和补救措施的评估。利用这个项目的结果和技术，未来的研究可以问，例如，阅读障碍或自闭症受试者的大脑反应在各个维度上与正常水平有何不同，以及干预后这些反应中是否有任何一个接近群体正常水平。在理解和处理这些缺陷方面的进展应该来自于对神经系统如何执行语言计算以及存储和操作语言表示的理解。

This project will investigate the comprehension of morphologically complex words, words like "knowable" that can be broken down into pieces. Linguists and psycholinguists disagree on whether all words that consist of a possibly independent stem ("know" is a verb by itself) and an identifiable suffix ("-able" generally creates adjectives from verbs) are analyzed as complex by speakers and whether all or any such words are recognized via decomposition into their parts. The issue is particularly controversial for words like "tolerable" apparently built from roots that do not appear on their own ("toler-" is also seen in "tolerate" but not elsewhere). This project uses magnetoencephalographic (MEG) brain monitoring methods to test a theory about the interaction of linguistic representations and neural computations. The theory demands that every decomposition motivated by linguistic theory is a necessary computational step in recognizing a word and that each computation maps to neural activity of a set of brain regions at particular time latencies during word recognition. For this project, subjects will read or listen to individual words and non-words, judging their word status, while the electrical activity in their brains is monitored with MEG. A novel analysis technique will be developed that correlates the brain responses of each subject for each word with continuous stimulus variables such as word frequency, suffix frequency, and the probability of having a particular suffix following a particular stem. Given sufficient numbers of subjects and stimuli, this technique can provide meaningful data about individual words and individual subjects. For example, is a word like "vulnerable", whose root "vulner-" does not appear elsewhere in English, recognized in the same way as "knowable" or "tolerable"? The project should elucidate the connections among linguistic theory, psycholinguistic models, and brain activity while testing hypotheses about the comprehension of morphologically complex words. Since for the theories of morphology being tested, the structure of words involves the same computations and representations as the structure of sentences, support for full decomposition to the root for words like "knowable" and "tolerable" will have implications for language processing at all levels of linguistic analysis. The single trial MEG analysis techniques developed by the project should aid greatly in the diagnosis of language-impaired populations and in the evaluation of remediation. Exploiting the results and techniques of this project, future research can ask, for example, how the brain responses of an individual dyslexic or autistic subject differ from the norm along various dimensions, and if any of these responses approach group norms after intervention. Progress in understanding and treating these deficits should come from an understanding of how neural systems perform linguistic computations and store and manipulate linguistic representations.