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UBLI has conducted field surveys since 2002 and built spoken language corpora for French, Spanish, Italian (Salentino dialect), Russian, Malaysian, Turkish, Japanese, and Canadian multilinguals. This volume features new research presented at the UBLI second workshop on Corpus Linguistics – Research Domain, which was held on September 14, 2006. The first part consisting of eleven presentations to this workshop shows a wide range of subjects within the area of corpus-based research, such as dictionary, linguistic atlas, dialect, translation, ancient texts, non-standard texts, sociolinguistics, second language acquisition, and natural language processing. The second part of this volume comprises ten additional contributions to both written and spoken corpora by the members and research assistants of UBLI.
This volume comprises nine contributions that were written by up-and-coming corpus-based researchers with varied areas of expertise, who were all disciples of Douglas Biber sometime in the past two decades. These papers cover a wide variety of linguistic analyses and describe the principles of the Flagstaff school: a careful procedure for language corpora collection with special consideration for corpus size, representativeness, sampling and systematic analysis; the use of computer programming abilities that allow the posing of corpus-based research questions never asked before; and a strong emphasis on the combination of quantitative methods based on sound and innovative statistical procedures complemented with comprehensive qualitative functional analyses of the language. This volume has been edited in honor of Douglas Biber, a pioneer of the American school of corpus-based research.
This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment.
Contrastive studies have experienced a dramatic revival in the last decades. By combining the methodological advantages of computer corpus linguistics and the possibility of contrasting texts in two or more languages, the structure and use of languages can be explored with greater accuracy, detail and empirical strength than before. The approach has also proved to have fruitful practical applications in a number of areas such as language teaching, lexicography, translation studies and computer-aided translation. This volume contains twelve studies comparing linguistic phenomena in English and seven other languages. The topics range from comparisons of specific lexical categories and word combinations to syntactic constructions and discourse phenomena such as cohesion and thematic structure. The studies highlight similarities and differences in the use, semantics and functions of the compared items, as well as the emergence of new meanings and language change. The emphasis varies from purely linguistic studies to those focusing on practical applications.
In the past few decades the use of increasingly large text corpora has grown rapidly in language and linguistics research. This was enabled by remarkable strides in natural language processing (NLP) technology, technology that enables computers to automatically and efficiently process, annotate and analyze large amounts of spoken and written text in linguistically and/or pragmatically meaningful ways. It has become more desirable than ever before for language and linguistics researchers who use corpora in their research to gain an adequate understanding of the relevant NLP technology to take full advantage of its capabilities. This volume provides language and linguistics researchers with an accessible introduction to the state-of-the-art NLP technology that facilitates automatic annotation and analysis of large text corpora at both shallow and deep linguistic levels. The book covers a wide range of computational tools for lexical, syntactic, semantic, pragmatic and discourse analysis, together with detailed instructions on how to obtain, install and use each tool in different operating systems and platforms. The book illustrates how NLP technology has been applied in recent corpus-based language studies and suggests effective ways to better integrate such technology in future corpus linguistics research. This book provides language and linguistics researchers with a valuable reference for corpus annotation and analysis.
In Methods in Latin Computational Linguistics, Barbara McGillivray presents some of the most significant methodological foundations of the emerging field of Latin Computational Linguistics. The reader will find an overview of the computational resources and tools available for Latin and three corpus case studies covering morpho-syntactic and lexical-semantic aspects of Latin verb valency, as well as quantitative diachronic explorations of the argument realization of Latin prefixed verbs. The computational models and the multivariate data analysis techniques employed are explained with a detailed but accessible language. Barbara McGillivray convincingly shows the challenges and opportunities of combining computational methods and historical language data, and contributes to driving the technological change that is affecting Historical Linguistics and the Humanities.
Corpora are used widely in linguistics, but not always wisely. This book attempts to frame corpus linguistics systematically as a variant of the observational method. The first part introduces the reader to the general methodological discussions surrounding corpus data as well as the practice of doing corpus linguistics, including issues such as the scientific research cycle, research design, extraction of corpus data and statistical evaluation. The second part consists of a number of case studies from the main areas of corpus linguistics (lexical associations, morphology, grammar, text and metaphor), surveying the range of issues studied in corpus linguistics while at the same time showing how they fit into the methodology outlined in the first part.
Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.