The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora).

The World Wide Web constitutes the largest existing source of texts written in a great variety of languages. A feasible and sound way of exploiting this data for linguistic research is to compile a static corpus for a given language. There are several adavantages of this approach: (i) Working with such corpora obviates the problems encountered when using Internet search engines in quantitative linguistic research (such as non-transparent ranking algorithms). (ii) Creating a corpus from web data is virtually free. (iii) The size of corpora compiled from the WWW may exceed by several orders of magnitudes the size of language resources offered elsewhere. (iv) The data is locally available to the user, and it can be linguistically post-processed and queried with the tools preferred by her/him. This book addresses the main practical tasks in the creation of web corpora up to giga-token size. Among these tasks are the sampling process (i.e., web crawling) and the usual cleanups including boilerplate removal and removal of duplicated content. Linguistic processing and problems with linguistic processing coming from the different kinds of noise in web corpora are also covered. Finally, the authors show how web corpora can be evaluated and compared to other corpora (such as traditionally compiled corpora). For additional material please visit the companion website: sites.morganclaypool.com/wcc Table of Contents: Preface / Acknowledgments / Web Corpora / Data Collection / Post-Processing / Linguistic Processing / Corpus Evaluation and Comparison / Bibliography / Authors' Biographies

This volume offers a critical examination of the construction of the Spoken British National Corpus 2014 (Spoken BNC2014) and points the way forward toward a more informed understanding of corpus linguistic methodology more broadly. The book begins by situating the creation of this second corpus, a compilation of new, publicly-accessible Spoken British English from the 2010s, within the context of the first, created in 1994, talking through the need to balance backward capability and optimal practice for today’s users. Chapters subsequently use the Spoken BNC2014 as a focal point around which to discuss the various considerations taken into account in corpus construction, including design, data collection, transcription, and annotation. The volume concludes by reflecting on the successes and limitations of the project, as well as the broader utility of the corpus in linguistic research, both in current examples and future possibilities. This exciting new contribution to the literature on linguistic methodology is a valuable resource for students and researchers in corpus linguistics, applied linguistics, and English language teaching.

A linguistic corpus is a collection of texts which have been selected and brought together so that language can be studied on the computer. Today, corpus linguistics offers some of the most powerful new procedures for the analysis of language, and the impact of this dynamic and expanding sub-discipline is making itself felt in many areas of language study. In this volume, a selection of leading experts in various key areas of corpus construction offer advice in a readable and largely non-technical style to help the reader to ensure that their corpus is well designed and fit for the intended purpose. This guide is aimed at those who are at some stage of building a linguistic corpus. Little or no knowledge of corpus linguistics or computational procedures is assumed, although it is hoped that more advanced users will find the guidelines here useful. It is also aimed at those who are not building a corpus, but who need to know something about the issues involved in the design of corpora in order to choose between available resources and to help draw conclusions from their studies.

The book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created are now available for both academia and industry worldwide. The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) generation, web mining, information extraction, and text to speech to name the most important ones. The book also shows how a medium-sized language community (spanning two territories) can create a digital language infrastructure (resources, tools, etc.) as a basis for subsequent R&D. At the same time, it bundles contributions of almost all the HLT research groups in Flanders and the Netherlands, hence offers a view of their recent research activities. Targeted readers are mainly researchers in human language technology, in particular those focusing on Dutch. It concerns researchers active in larger networks such as the CLARIN, META-NET, FLaReNet and participating in conferences such as ACL, EACL, NAACL, COLING, RANLP, CICling, LREC, CLIN and DIR ( both in the Low Countries), InterSpeech, ASRU, ICASSP, ISCA, EUSIPCO, CLEF, TREC, etc. In addition, some chapters are interesting for human language technology policy makers and even for science policy makers in general.

Is the internet a suitable linguistic corpus? How can we use it in corpus techniques? What are the special properties that we need to be aware of? This book answers those questions. The Web is an exponentially increasing source of language and corpus linguistics data. From gigantic static information resources to user-generated Web 2.0 content, the breadth and depth of information available is breathtaking – and bewildering. This book explores the theory and practice of the “web as corpus”. It looks at the most common tools and methods used and features a plethora of examples based on the author's own teaching experience. This book also bridges the gap between studies in computational linguistics, which emphasize technical aspects, and studies in corpus linguistics, which focus on the implications for language theory and use.

This book constitutes the refereed proceedings of the 17th International Conference on Text, Speech and Dialogue, TSD 2013, held in Brno, Czech Republic, in September 2014. The 70 papers presented together with 3 invited papers were carefully reviewed and selected from 143 submissions. They focus on topics such as corpora and language resources; speech recognition; tagging, classification and parsing of text and speech; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; as well as multimodal techniques and modelling.

Corpus Linguistics has quickly established itself as the leading undergraduate course book in the subject. This second edition takes full account of the latest developments in the rapidly changing field, making this the most up-to-date and comprehensive textbook available. It gives a step-by-step introduction to what a corpus is, how corpora are constructed, and what can be done with them. Each chapter ends with a section of study questions that contain practical corpus-based exercises.* Designed for student use, with all technical terms explained in the text and referenced further in a Glossary* Examples are taken from existing corpora; detailed case study chapter included* Contains end-of-chapter summaries, study questions and suggestions for further reading* Updated reviews of new studies, areas that have recently come to prominence and new directions in corpus encoding and annotation standards* Detailed coverage of multilingual corpus construction and use* An in-depth historical review of computer-based corpora from the 1940s to the present day* Helpful appendices include answers to the study questions, up-to-date information on where corpora can be found, and the latest software for corpus research."e;[An] important addition to the fast growing literature in corpus linguistics... should be read by anyone interested in utilization of large-scale corpora in linguistic research."e; Studies in the Linguistic Sciences, on the first edition

Using the Web as Corpus is one of the recent challenges for corpus linguistics. This volume presents a current state-of-the-arts discussion of the topic. The articles address practical problems such as suitable linguistic search tools for accessing the www, the question of register variation, or they probe into methods for culling data from the web. The book also offers a wide range of case studies, covering morphology, syntax, lexis, as well as synchronic and diachronic variation in English. These case studies make use of the two approaches to the www in corpus linguistics - web-as-corpus and web-for-corpus-building. The case studies demonstrate that web data can provide useful additional evidence for a broad range of research questions.

Corpus linguistics is the study of language data on a large scale - the computer-aided analysis of very extensive collections of transcribed utterances or written texts. This textbook outlines the basic methods of corpus linguistics, explains how the discipline of corpus linguistics developed and surveys the major approaches to the use of corpus data. It uses a broad range of examples to show how corpus data has led to methodological and theoretical innovation in linguistics in general. Clear and detailed explanations lay out the key issues of method and theory in contemporary corpus linguistics. A structured and coherent narrative links the historical development of the field to current topics in 'mainstream' linguistics. Practical tasks and questions for discussion at the end of each chapter encourage students to test their understanding of what they have read and an extensive glossary provides easy access to definitions of technical terms used in the text.