By R. H. Baayen
Statistical research is an invaluable ability for linguists and psycholinguists, permitting them to comprehend the quantitative constitution in their information. This textbook presents an easy advent to the statistical research of language. Designed for linguists with a non-mathematical history, it basically introduces the elemental rules and techniques of statistical research, utilizing 'R', the prime computational data programme. The reader is guided step by step via quite a number genuine facts units, permitting them to examine acoustic facts, build grammatical timber for quite a few languages, quantify sign up edition in corpus linguistics, and degree experimental information utilizing cutting-edge types. The visualization of knowledge performs a key position, either within the preliminary levels of information exploration and in a while while the reader is inspired to criticize a number of versions. Containing over forty workouts with version solutions, this publication may be welcomed through all linguists wishing to benefit extra approximately operating with and providing quantitative data.Statistical research is an invaluable ability for linguists and psycholinguists, permitting them to comprehend the quantitative constitution in their info. This textbook presents an easy creation to the statistical research of language. Designed for linguists with a non-mathematical history, it in actual fact introduces the fundamental ideas and techniques of statistical research, utilizing 'R', the top computational facts programme. The reader is guided step by step via various genuine info units, permitting them to examine acoustic information, build grammatical bushes for numerous languages, quantify check in version in corpus linguistics, and degree experimental info utilizing cutting-edge versions. The visualization of knowledge performs a key function, either within the preliminary phases of knowledge exploration and afterward while the reader is inspired to criticize a variety of types. Containing over forty workouts with version solutions, this ebook can be welcomed via all linguists wishing to benefit extra approximately operating with and offering quantitative info.
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Additional info for Analyzing Linguistic Data
Inspect the distribution of the naming latencies (RTnaming).
3 Visualizing two or more variables In Chapter 1 we had a first look at the data of Bresnan and colleagues on the dative alternation in English. xtabs , RealizationOfRecipient = NP AccessOfRec AnimacyOfRec accessible given animate 290 1931 inanimate 11 99 new 78 5 , , RealizationOfRecipient = PP AccessOfRec AnimacyOfRec accessible given animate 259 239 inanimate 55 33 new 227 36 Such a contingency table might be visualized with a bar plot, but twelve bars or smaller numbers of stacked bars quickly become rather complex to interpret.
For tapply(), all we have to do is specify the factors as arguments to the function list(). 53 This data frame comprises log reaction times for 26 subjects to 40 words. For each combination of subject and word, a reaction time (RT) was recorded. , 1995). Given what we know about frequency effects in lexical processing in general, we expect that neologisms with a higher base frequency elicit shorter reaction times. 4 Operations on data frames Psycholinguistic studies often report two analyses, one for reaction times averaged over subjects, and one for reaction times averaged over words.
Analyzing Linguistic Data by R. H. Baayen