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Founding Editor: Gabriel Altmann The series Quantitative Linguistics publishes books on all aspects of quantitative methods and models in linguistics, text analysis and related research fields. Specifically, the scope of the series covers the whole spectrum of theoretical and empirical research, ultimately striving for an exact mathematical formulation and empirical testing of hypotheses: observation and description of linguistic data, application of methods and models, discussion of methodological and epistemological issues, modelling of language and text phenomena.
The edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.
The book presents methods for the objective analysis of poetic language. Common objects of literary studies such as rhythm, semantic explications, interpretation and personal impressions are avoided. Only those properties of poetic texts are taken into account that could be quantified. The major chapters contain the analysis of phonic phenomena (frequency, euphony, assonance, alliteration, aggregation, rhyme), word properties (aspects of frequency, length, richness, word classes, sequences of word properties, characterisations). The synergetic control cycle is the result of the study of mutual links between properties. For all methods both statistical tests (evaluation, comparison), theoretical derivations (models), and examples are presented. The book is dedicated to the work of the famous Romanian poet Mihai Eminescu whose complete work was analysed, which made detailed illustrations of the method possible. The methods can be used mutatis mutandis for any language and text. It is the first comprehensive quantitative analysis of a poetic work.
This handbook addresses words in all their multifarious aspects and brings together scholars from every relevant discipline to do so. The many subjects covered include word frequencies; sounds and sound symbolism; the structure of words; taboo words; lexical borrowing; words in dictionaries and thesauri; word origins and change; place and personal names; nicknames; taxonomies; word acquisition and bilingualism; words in the mind; word disorders; and word games, puns, and puzzles. Words are the most basic of all linguistic units, the aspect of language of which everyone is likely to be most conscious. A 'new' word that makes it into the OED is prime news; when baby says its first word its parents reckon it has started to speak; knowing a language is often taken to mean knowing its words; and languages are seen to be related by the similarities between their words. Up to the twentieth century linguistic description was mainly an account of words and all the current subdivisions of linguistics have something to say about them. A notable feature of human languages is the sheer vastness of their word inventories, and scholars and writers have sometimes deliberately increased the richness of their languages by coining or importing new items into their word-hoards. The book presents scholarship and research in a manner that meets the interests of students and professionals and satisfies the curiosity of the educated reader.
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
The Linguistics of Newswriting focuses on text production in journalistic media as both a socially relevant field of language use and as a strategic field of applied linguistics. The book discusses and paves the way for scientific projects in the emerg­ing field of linguistics of newswriting. From empirical micro and theoretical macro perspectives, strategies and practices of research development and knowledge transformation are discussed. Thus, the book is addressed to researchers, teachers and coaches interested in the linguistics of professional writing in general and news­writing in particular. Together with the training materials provided on the internet www.news-writing.net, the book will also be useful to anyone who wants to become a more “discerning consumer" (Perry, 2005) or a more reflective producer of language in the media.
Quantitative Linguistics is a rapidly developing discipline covering more and more areas of linguistic and textological research. The book represents an overview of the state of the art in Quantitative Linguistics, its scope and reach. Some of the topics: linguistic laws, frequency analyses, synergetic models of language, networks, part-of-speech systems, authorship attribution, polyfunctionality and polysemy, and opinion target identification.
Language complexity has recently attracted considerable attention from linguists of many different persuasions. This volume – a thematic selection of papers from the conference Approaches to Complexity in Language, held in Helsinki, August 2005 – is the first collection of articles devoted to the topic. The sixteen chapters of the volume approach the notion of language complexity from a variety of perspectives. The papers are divided into three thematic sections that reflect the central themes of the book: Typology and theory, Contact and change, Creoles and pidgins. The book is mainly intended for typologists, historical linguists, contact linguists and creolists, as well as all linguists interested in language complexity in general. As the first collective volume on a very topical theme, the book is expected to be of lasting interest to the linguistic community.
The standard scientific methodology in linguistics is empirical testing of falsifiable hypotheses. As such the process of hypothesis generation is central, and involves formulation of a research question about a domain of interest and statement of a hypothesis relative to it. In corpus linguistics the domain is text, and generation involves abstraction of data from text, data analysis, and formulation of a hypothesis based on inference from the results. Traditionally this process has been paper-based, but the advent of electronic text has increasingly rendered it obsolete both because the size of digital corpora is now at or beyond the limit of what can efficiently be used in the traditional way, and because the complexity of data abstracted from them can be impenetrable to understanding. Linguists are increasingly turning to mathematical and statistical computational methods for help, and cluster analysis is such a method. It is used across the sciences for hypothesis generation by identification of structure in data which are too large or complex, or both, to be interpretable by direct inspection. This book aims to show how cluster analysis can be used for hypothesis generation in corpus linguistics, thereby contributing to a quantitative empirical methodology for the discipline.