This open access book, originally published in Portuguese in 1988 and now available in English for the first time, describes the Brazilian educator, Antonio Leal's, experiences teaching so-called "unteachable" children in Rio de Janeiro's favelas. A Voice for Maria Favela tells the story of how Leal considers what the children bring to the class, gradually engaging them in developing a narrative about Maria Favela, a single mother and housemaid. Leal uses the sounds within the story to draw out the students' abilities to see enunciation and articulation as a process of becoming literatized. A contemporary and admirer of Paulo Freire, Leal nevertheless recognised that his students' needs could not be theorized along Freirean lines of oppressor/oppressed. He devised an emancipatory approach that is more focussed on the individual child and their capacity for self-expression than those often found in critical pedagogy. The book puts forward a unique type of radical pedagogy and philosophy of education, developed through direct classroom observation. The book includes a substantial introduction written by the translator Alexis Gibbs (University of Winchester, UK) and preface by Inny Accioly (Fluminense Federal University, Brazil). The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The aim of this book is try to illustrate with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research. In addition, it does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies. This book shows how quantitative methods and statistical techniques can supplement qualitative analyses of language. It attempts to present some mathematical and statistical properties of natural languages, and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora, illustrating the various issues with numerous examples and moving from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models.