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"Pragmatics Data processing."
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Pragmatics of Computer-Mediated Communication
The present handbook provides an overview of the pragmatics of language and language use mediated by digital technologies. Computer-mediated communication (CMC) is defined to include text-based interactive communication via the Internet, websites and other multimodal formats, and mobile communication. In addition to 'core' pragmatic and discourse-pragmatic phenomena the chapters cover pragmatically-focused research on types of CMC and pragmatic approaches to characteristic CMC phenomena.
eBook
How to do corpus pragmatics on pragmatically annotated data : speech acts and beyond
This work introduces a methodology and research tool (DART) that make it possible to carry out advanced corpus pragmatics research using dialogue corpora enriched with pragmatics-relevant annotations. It first explores the general use of spoken corpora for pragmatics research, as well as issues revolving around their representation and annotation, and then goes on to describe the resources required for such an annotation process. Based on data from three different corpora, ranging from highly constrained, task-oriented, ones (SPAADIA Trainline Trains 93) to unconstrained dialogues (Switchboard), it next presents an in-depth discussion and illustration of the potential contributions of syntax, semantics, and semantico-pragmatics towards pragmatic force. This is followed by a description of the largely automatic annotation process itself.
eBook
Abduction, belief, and context in dialogue : studies in computational pragmatics
Language is always generated and interpreted in a certain context, and the semantic, syntactic, and lexical properties of linguistic expressions reflect this. Interactive language understanding systems, such as language-based dialogue systems, therefore have to apply contextual information to interpret their inputs and to generate appropriate outputs, but are in practice very poor at this. This book contains a number of studies in Computational Pragmatics, the newly emerging field of study of how contextual information can be effectively brought to bear in language understanding and generation. The various chapters center around the conceptual, formal and computational modeling of context in general, of the relevant beliefs of dialogue participants in particular, and of the reasoning that may be applied to relate linguistic phenomena to aspects of the dialogue context. These issues are discussed both from a theoretical point of view and in relation to their roles in prototypical language understanding systems.
eBook
Spoken Corpora and Linguistic Studies
This article aims to show how a corpus driven theory that analyses speech through information units can better account for Discourse Markers (DM) identification and analysis. We propose that the speech flow can only be properly analyzed if segmented into utterances and tone units through prosodic parameters. Utterances correspond to speech acts and tone units to information units (IU); therefore, it is possible for DMs to be identified since they correspond to dialogic information units (DU). Each IU is submitted to different prosodic conditions in order to carry their function. This allows for: (i) identifying DUs; (ii) distinguishing different DUs, thus recognizing the specific function of each DM. We present data from comparable corpora from different Romance languages. The DM data are studied focusing on their functions, frequency, distribution and lexical fillers.
eBook
Language - Nation - Identity
Is language one of the main components of national identity? How does it define ones national identity? Does its role change for each nation? These are the crucial questions that are explored in this volume, which describes the Nation-Identity dyad through the prism of language. The centuries-old theory on the role language plays in shaping national identity is discussed here in a new perspective appropriate to the 21st century. The analysis is provided from various points of view, and deta.
eBook
Pragmatics of tense and time in news : from canonical headlines to online news texts
This book provides the first comprehensive account of temporal deixis in English printed and online news texts. Linking the characteristic usage of tenses with the projection of deictic centres, it notes how conventional tenses, particularly in headlines, are affected by heteroglossia arising from various accessed voices. The resulting tense shifts are interpreted pragmatically as a conventional reader-oriented strategy that creates the impression of temporal co-presence. It is argued that since different tense choices systematically correlate with the three main textual segments of news texts, the function of tense needs to be viewed in a close connection with its local context. Traditional news texts are also contrasted with online news, particularly as far as the effect of hypertextuality on the coding of time is concerned. A two-level structural framework for the analysis of online news is proposed in order to account for their increased textual complexity. The book will be of interest to a wide range of scholars and students working in the fields of media pragmatics, discourse analysis and stylistics.
eBook
Storytelling with data
Don't simply show your data--tell a story with it!Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data.You'll discover the power of storytelling and the way to make data a pivotal point in your story.
eBook
Natural language based financial forecasting: a survey
Natural language processing (NLP), or the pragmatic research perspective of computational linguistics, has become increasingly powerful due to data availability and various techniques developed in the past decade. This increasing capability makes it possible to capture sentiments more accurately and semantics in a more nuanced way. Naturally, many applications are starting to seek improvements by adopting cutting-edge NLP techniques. Financial forecasting is no exception. As a result, articles that leverage NLP techniques to predict financial markets are fast accumulating, gradually establishing the research field of natural language based financial forecasting (NLFF), or from the application perspective, stock market prediction. This review article clarifies the scope of NLFF research by ordering and structuring techniques and applications from related work. The survey also aims to increase the understanding of progress and hotspots in NLFF, and bring about discussions across many different disciplines.
Journal Article