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Practical corpus linguistics : an introduction to corpus-based language analysis
This is the first book of its kind to provide a practical and student-friendly guide to corpus linguistics that explains the nature of electronic data and how it can be collected and analyzed. * Designed to equip readers with the technical skills necessary to analyze and interpret language data, both written and (orthographically) transcribed * Introduces a number of easy-to-use, yet powerful, free analysis resources consisting of standalone programs and web interfaces for use with Windows, Mac OS X, and Linux * Each section includes practical exercises, a list of sources and further reading, and illustrated step-by-step introductions to analysis tools * Requires only a basic knowledge of computer concepts in order to develop the specific linguistic analysis skills required for understanding/analyzing corpus data
eBook
Lob der Wiederentdeckung
»Mit ihren ›Schriften zur Clara-Viebig-Forschung‹ gibt die Germanistin und Deutschlehrerin Ina Braun-Yousefi der Viebig-Forschung seit 2018 neue Impulse, fast im Jahrestakt. Der archivalisch fundierten biographischen Forschung gilt ihr Interesse ebenso wie der Neuinterpretation ihres Werks. Immer wieder in den geschichtlichen Kontext gestellt und mit literarischen Zeitgenossinnen wie Nanny Lambrecht oder Emmi Elert verglichen, die heute fast in Vergessenheit geraten sind. Die wissenschaftliche Akribie paart sich dabei mit dem durchgehenden Bemühen um allgemeinverständliche Darstellung, um Clara Viebigs Leben und Werk wieder einem breiten Lesepublikum zu erschließen. Mit großem Respekt und gespannter Neugier verfolge ich ihre Pionierwege in der Viebig-Forschung.« Dr. Josef Zierden, Prüm/Eifel Diese Schriftenreihe begreift sich als eine systemisch-systematische Programmatik, die sich mit Leben, Werk, Wirken und Methode von Clara Viebig befasst. Ziel ist, sie den Wissenschaften und interessierten Laien aus einer völlig neuen Perspektive zugänglich zu machen.
eBook
Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution
It is tempting to treat frequency trends from the Google Books data sets as indicators of the \"true\" popularity of various words and phrases. Doing so allows us to draw quantitatively strong conclusions about the evolution of cultural perception of a given topic, such as time or gender. However, the Google Books corpus suffers from a number of limitations which make it an obscure mask of cultural popularity. A primary issue is that the corpus is in effect a library, containing one of each book. A single, prolific author is thereby able to noticeably insert new phrases into the Google Books lexicon, whether the author is widely read or not. With this understood, the Google Books corpus remains an important data set to be considered more lexicon-like than text-like. Here, we show that a distinct problematic feature arises from the inclusion of scientific texts, which have become an increasingly substantive portion of the corpus throughout the 1900 s. The result is a surge of phrases typical to academic articles but less common in general, such as references to time in the form of citations. We use information theoretic methods to highlight these dynamics by examining and comparing major contributions via a divergence measure of English data sets between decades in the period 1800-2000. We find that only the English Fiction data set from the second version of the corpus is not heavily affected by professional texts. Overall, our findings call into question the vast majority of existing claims drawn from the Google Books corpus, and point to the need to fully characterize the dynamics of the corpus before using these data sets to draw broad conclusions about cultural and linguistic evolution.
Journal Article
The prosody of formulaic sequences : corpus and discourse
\"To apply the same approaches to analysing spoken and written formulaic language is problematic; to do so masks the fact that the contextual meaning of spoken formulaic language is encoded, to a large extent, in its prosody. In The Prosody of Formulaic Sequences, Phoebe Lin offers a new perspective on formulaic language, arguing that while past research often treats formulaic language as a lexical phenomenon, the phonological aspect of it is a more fundamental facet. This book draws its conclusions from three original, empirical studies of spoken formulaic language, assessing intonation unit boundaries as well as features such as tempo and stress placement. Across all studies, Lin considers questions of methodology and conceptual framework. The corpus-based descriptions of prosody outlined in this book not only deepen our understanding of the nature of formulaic language but have important implications for English Language Teaching and automatic speech synthesis\"-- Provided by publisher.
Book
Cortical tracking of hierarchical linguistic structures in connected speech
Language consists of a hierarchy of linguistic units: words, phrases and sentences. The authors explore whether and how these abstract linguistic units are represented in the brain during speech comprehension. They find that cortical rhythms track the timescales of these linguistic units, revealing a hierarchy of neural processing timescales underlying internal construction of hierarchical linguistic structure.
The most critical attribute of human language is its unbounded combinatorial nature: smaller elements can be combined into larger structures on the basis of a grammatical system, resulting in a hierarchy of linguistic units, such as words, phrases and sentences. Mentally parsing and representing such structures, however, poses challenges for speech comprehension. In speech, hierarchical linguistic structures do not have boundaries that are clearly defined by acoustic cues and must therefore be internally and incrementally constructed during comprehension. We found that, during listening to connected speech, cortical activity of different timescales concurrently tracked the time course of abstract linguistic structures at different hierarchical levels, such as words, phrases and sentences. Notably, the neural tracking of hierarchical linguistic structures was dissociated from the encoding of acoustic cues and from the predictability of incoming words. Our results indicate that a hierarchy of neural processing timescales underlies grammar-based internal construction of hierarchical linguistic structure.
Journal Article
The essence of linguistic analysis : an integrated approach
In The Essence of Linguistic Analysis by R. M. W. Dixon relates together, in a clear and succinct manner, individual grammatical categories, showing their dependencies and locating each in its place within the overall tapestry of a language.
eBook