You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Spoken language is characterized by the occurrence of linguistic devices such as discourse markers (e.g. so, well, you know, I mean) and other so-called “disfluent” phenomena, which reflect the temporal nature of the cognitive mechanisms underlying speech production and comprehension. The purpose of this book is to distinguish between strategic vs. symptomatic uses of these markers on the basis of their combination, function and distribution across several registers in English and French. Through deep quantitative and qualitative analyses of manually annotated features in the new DisFrEn corpus, this usage-based study provides (i) an exhaustive portrait of discourse markers in English and French and (ii) a scale of (dis)fluency against which different configurations of discourse markers can be diagnosed as rather fluent or disfluent. By bringing together discourse markers and (dis)fluency under one coherent framework, this book is a unique contribution to corpus-based pragmatics, discourse analysis and crosslinguistic fluency research.
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods i...
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Researc...
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Researc...
In its nine chapters, this book provides an overview of the state-of-the-art and best practice in several sub-fields of evaluation of text and speech systems and components. The evaluation aspects covered include speech and speaker recognition, speech synthesis, animated talking agents, part-of-speech tagging, parsing, and natural language software like machine translation, information retrieval, question answering, spoken dialogue systems, data resources, and annotation schemes. With its broad coverage and original contributions this book is unique in the field of evaluation of speech and language technology. This book is of particular relevance to advanced undergraduate students, PhD students, academic and industrial researchers, and practitioners.