By R. H. Baayen
Statistical research is an invaluable ability for linguists and psycholinguists, letting them comprehend the quantitative constitution in their facts. This textbook presents a simple advent to the statistical research of language. Designed for linguists with a non-mathematical heritage, it truly introduces the fundamental ideas and techniques of statistical research, utilizing 'R', the major computational statistics programme. The reader is guided step by step via quite a number genuine information units, letting them examine acoustic info, build grammatical bushes for a number of languages, quantify check in edition in corpus linguistics, and degree experimental info utilizing cutting-edge types. The visualization of knowledge performs a key position, either within the preliminary phases of knowledge exploration and in a while while the reader is inspired to criticize numerous versions. Containing over forty routines with version solutions, this publication can be welcomed via all linguists wishing to profit extra approximately operating with and featuring quantitative data.Statistical research is an invaluable ability for linguists and psycholinguists, permitting them to comprehend the quantitative constitution in their information. This textbook offers an easy creation to the statistical research of language. Designed for linguists with a non-mathematical history, it sincerely introduces the elemental rules and strategies of statistical research, utilizing 'R', the major computational statistics programme. The reader is guided step by step via quite a number actual info units, permitting them to examine acoustic information, build grammatical bushes for quite a few languages, quantify sign in version in corpus linguistics, and degree experimental information utilizing state of the art versions. The visualization of knowledge performs a key function, either within the preliminary levels of knowledge exploration and afterward whilst the reader is inspired to criticize numerous versions. Containing over forty routines with version solutions, this ebook might be welcomed via all linguists wishing to profit extra approximately operating with and offering quantitative information.
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Additional info for Analyzing Linguistic Data
Both reaction times and frequencies are logarithmically transformed. Use exp() to undo these transformations and make a scatterplot of the averaged reaction times (MeanRT) against the frequency of the base (BaseFrequency). Compare this scatterplot with a scatterplot using the log-transformed values. 3. The data set moby is a character vector with the text of Melville’s Moby Dick. In this exercise, we consider whether Zipf’s law holds for Moby Dick. 4 Trellis graphics 43 the frequency of a word is inversely proportional to its rank in a numerically sorted list.
This is clearly visible in the boxplot in the lower right panel. There are still many marked outliers, but their number is smaller and the box has moved somewhat more towards the center of the graph. The reason that many of the variables that we study in this book are logarithmically transformed is to eliminate or at least substantially reduce the skewing in their distribution. This reduction is necessary for most of the statistical techniques discussed in this book to work appropriately. Without the logarithmic transformation, just a few extreme outliers might dominate the outcome, partially or even completely obscuring the main trends characterizing the majority of data points.
A second important trellis graph is the conditioning plot. 11. It is based on a data set of 2284 English monomorphemic and monosyllabic words studied by Balota et al. (2004) and Baayen et al. (2006). The plot graphs morphological family size as a function of the number of complex synsets, conditioned on equal counts of written frequency. Recall that a word’s morphological family size is the count of complex words in which it occurs as a constituent. 11. A conditioning plot: morphological family size as a function of the number of complex synsets, for six overlapping ranges of written frequency (English monomorphemic and monosyllabic words).
Analyzing Linguistic Data by R. H. Baayen
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