Philosophy and language learning

In this paper, I explore different ways of picturing language learning in philosophy, all of them inspired by Wittgenstein and all of them concerned about scepticism of meaning. I start by outlining the two pictures of children and language learning that emerge from Kripke’s famous reading of Wittgenstein. Next, I explore how social-pragmatic readings, represented by Meredith Williams, attempt to answer the sceptical anxieties. Finally, drawing somewhat on Stanley Cavell, I try to resolve these issues by investigating what characteristically happens to our view of language learning when we do philosophy. The focus throughout is on the relation between the individual (the learning child) and the community (usually represented by the parents), and how that relation is deformed when we operate with a certain philosophical notion of ground.     

Philosophy for Children and the Reconstruction of Philosophy

In this paper I trace the dialogical and narrative dimensions of the philosophical tradition and explore how they are reconfigured in the notion of community of philosophical inquiry (CPI), the mainstay of the collection of novels and discussion plans known as Philosophy for Children. After considering the ontology and epistemology of dialogue, I argue that narrative has replaced exposition in our understanding of philosophical discourse and that CPI represents a narrative context in which truth comes to represent the best story, in a discursive location in which there are always multiple stories. Finally, I raise the issue of children's philosophical voice. Can children philosophize, and if they can, do they do so in a voice different from adults'? If so, what are the distinctive features of that voice? I assert that it is children's historical marginalization in the Western construction of rationality that now – as that rationality undergoes its crisis – makes of them, like women and other “natives,” privileged strangers to the tradition, who are, through CPI, enabled to enter it through dialogue and narrative.     

哲学观与马克思哲学观

哲学是反思的学问,这种反思不仅指向哲学思考的对象内容,而且指向哲学思考本身.哲学观的反思对于哲学的内容变革和体系调整,具有重要的前提性意义.深刻理解马克思的哲学观,是我们重新理解马克思哲学的基础.     

Speech samples in analysis of language attitudes

Samples of speech obtained under naturalistic conditions were combined with subjective reaction tests to measure attitudes toward dialect interaction and language change. A specific sound change, the merger of American English vowels in words like caught and cot, was investigated. Early results of the experiments indicated that this change was socially motivated, but later, more sophisticated experiments indicated that arguments for a social motivation for this particular change are too simplistic and rest upon too slender an empirical base. Experiments in the interaction of phonology and perception show that for this sound change various psycholinguistic factors, especially difficulties in discriminating among speech sounds, have to be taken into account.Support for the research reported on in this paper was provided by the Danforth Foundation, the University of Oregon, the University of Tromsø, and the University of Cincinnati. Earlier, partial versions were presented at the Fifth Western Conference on Linguistics, the Fourth Annual Colloquium on New Ways of Analyzing Variation in English, the Second Annual Kentucky Interdisciplinary Conference on Linguistics, and the 1976 Midwest Meeting of the American Dialect Society. The paper has benefited from the many constructive remarks it has drawn at these meetings. Those inaccuracies and examples of plain wrong-headedness that remain are, of course, entirely my own.     

Lesion analysis of the brain areas involved in language comprehension

The cortical regions of the brain traditionally associated with the comprehension of language are Wernicke's area and Broca's area. However, recent evidence suggests that other brain regions might also be involved in this complex process. This paper describes the opportunity to evaluate a large number of brain-injured patients to determine which lesioned brain areas might affect language comprehension. Sixty-four chronic left hemisphere stroke patients were evaluated on 11 subtests of the Curtiss-Yamada Comprehensive Language Evaluation - Receptive (CYCLE-R; Curtiss, S., & Yamada, J. (1988). Curtiss-Yamada Comprehensive Language Evaluation. Unpublished test, UCLA). Eight right hemisphere stroke patients and 15 neurologically normal older controls also participated. Patients were required to select a single line drawing from an array of three or four choices that best depicted the content of an auditorily-presented sentence. Patients' lesions obtained from structural neuroimaging were reconstructed onto templates and entered into a voxel-based lesion-symptom mapping (VLSM; Bates, E., Wilson, S., Saygin, A. P., Dick, F., Sereno, M., Knight, R. T., & Dronkers, N. F. (2003). Voxel-based lesion-symptom mapping. Nature Neuroscience, 6(5), 448-450.) analysis along with the behavioral data. VLSM is a brain-behavior mapping technique that evaluates the relationships between areas of injury and behavioral performance in all patients on a voxel-by-voxel basis, similar to the analysis of functional neuroimaging data. Results indicated that lesions to five left hemisphere brain regions affected performance on the CYCLE-R, including the posterior middle temporal gyrus and underlying white matter, the anterior superior temporal gyrus, the superior temporal sulcus and angular gyrus, mid-frontal cortex in Brodmann's area 46, and Brodmann's area 47 of the inferior frontal gyrus. Lesions to Broca's and Wernicke's areas were not found to significantly alter language comprehension on this particular measure. Further analysis suggested that the middle temporal gyrus may be more important for comprehension at the word level, while the other regions may play a greater role at the level of the sentence. These results are consistent with those seen in recent functional neuroimaging studies and offer complementary data in the effort to understand the brain areas underlying language comprehension.     

Distinguishing thinking-feeling preferences through the content analysis of natural language

This article investigates the relationship between natural language and personality characteristics. In particular, an effort was made to determine whether "thinkers" and "feelers," as defined by Jung's typologies, differ in terms of the language they use to express themselves. First, a linguistic content analysis scale was developed. Next, 5-min verbal samples were obtained from subjects and content analyzed. Content analysis scores were correlated with subjects' self-evaluations and their scores on the Thinking-Feeling scale of the Myers-Briggs Type Indicator (MBTI). Gender differences relating to thinking-feeling preferences were also investigated. Significant correlations between content analysis and MBTI scores were obtained, suggesting that valid information regarding individual preferences for thinking versus feeling may be obtained through the analysis of natural language. Males and females differed significantly in terms of their MBTI scores and self-evaluations, but not in their content analysis scores.     

Coh-metrix: analysis of text on cohesion and language.

Advances in computational linguistics and discourse processing have made it possible to automate many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix, which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers, templates, corpora, latent semantic analysis, and other components that are widely used in computational linguistics. After the user enters an English text, CohMetrix returns measures requested by the user. In addition, a facility allows the user to store the results of these analyses in data files (such as Text, Excel, and SPSS). Standard text readability formulas scale texts on difficulty by relying on word length and sentence length, whereas Coh-Metrix is sensitive to cohesion relations, world knowledge, and language and discourse characteristics.     

Enhancing dynamic graphical analysis with the Lisp-Stat language and the ViSta statistical program

Presented is a sample of computerized methods aimed at multidimensional scaling and psychometric item analysis that offer a dynamic graphical interface to execute analyses and help visualize the results. These methods show how the Lisp-Stat programming language and the ViSta statistical program can be jointly applied to develop powerful computer applications that enhance dynamic graphical analysis methods. The feasibility of this combined strategy relies on two main features: (1) The programming architecture of ViSta enables users to add new statistical methods as plug-ins, which are integrated into the program environment and can make use of all the functions already available in ViSta (e.g., data manipulation, editing, printing); and (2) the set of powerful statistical and graphical functions integrated into the Lisp-Stat programming language provides the means for developing statistical methods with dynamic graphical visualizations, which can be implemented as ViSta plug-ins.     

The probabilistic analysis of language acquisition: theoretical, computational, and experimental analysis

There is much debate over the degree to which language learning is governed by innate language-specific biases, or acquired through cognition-general principles. Here we examine the probabilistic language acquisition hypothesis on three levels: We outline a novel theoretical result showing that it is possible to learn the exact generative model underlying a wide class of languages, purely from observing samples of the language. We then describe a recently proposed practical framework, which quantifies natural language learnability, allowing specific learnability predictions to be made for the first time. In previous work, this framework was used to make learnability predictions for a wide variety of linguistic constructions, for which learnability has been much debated. Here, we present a new experiment which tests these learnability predictions. We find that our experimental results support the possibility that these linguistic constructions are acquired probabilistically from cognition-general principles.