FinUniversity Electronic Library

     
?

Details
Card Table RUSMARC

Weisser, Martin. How to do corpus pragmatics on pragmatically annotated data: speech acts and beyond / Martin Weisser. — 1 online resource. — (Studies in corpus linguistics (SCL)). — <URL:http://elib.fa.ru/ebsco/1735758.pdf>.

Record create date: 12/27/2017

Subject: Pragmatics — Data processing.; Pragmatics — Research — Methodology.; Speech acts (Linguistics) — Data processing.; Speech acts (Linguistics) — Research — Methodology.; Quantitative linguistics.; LANGUAGE ARTS & DISCIPLINES / General

Collections: EBSCO

Allowed Actions: –

Action 'Read' will be available if you login or access site from another network Action 'Download' will be available if you login or access site from another network

Group: Anonymous

Network: Internet

Document access rights

Network User group Action
Finuniversity Local Network All Read Print Download
Internet Readers Read Print
-> Internet Anonymous

Table of Contents

  • How to Do Corpus Pragmatics on Pragmatically Annotated Data
  • Editorial page
  • Title page
  • LCC data
  • Table of contents
  • List of tables
  • List of figures
  • Abbreviations
  • 1. Introduction
    • 1.1 Previous approaches to pragmatics and discourse
    • 1.2 Speech acts
    • 1.3 Approaches to corpus-/computer-based pragmatics
    • 1.4 Outline of the book
    • 1.5 Conventions used in this book
  • 2. Computer-based data in pragmatics
    • 2.1 Linguistic corpora and pragmatics
    • 2.2 Issues and standards in text representation and annotation
      • 2.2.1 General computer-based representation
      • 2.2.2 Text vs. meta-information
      • 2.2.3 General linguistic annotation
    • 2.3 Problems and specifics in dealing with spoken language transcription
      • 2.3.1 Issues concerning orthographic representation
      • 2.3.2 Issues concerning prosody
      • 2.3.3 Issues concerning segmental and other features
      • 2.3.4 Issues concerning sequential integrity
      • 2.3.5 Issues concerning multi-modality
  • 3. Data, tools and resources
    • 3.1 Corpus data used in the research
      • 3.1.1 The SPAADIA Trainline Corpus
      • 3.1.2 The selection from Trains 93
      • 3.1.3 The selection from the Switchboard Annotated Dialogue Corpus
      • 3.1.4 Discarded data
      • 3.1.5 Supplementary data
    • 3.2 The DART implementation and its use in handling dialogue data
      • 3.2.1 The DART functionality
      • 3.2.2 The DART XML format
    • 3.3 Morpho-syntactic resources required for pragmatic analysis
      • 3.3.1 The generic lexicon concept
      • 3.3.2 The DART tagset
      • 3.3.3 Morphology and morpho-syntax
      • 3.3.4 ‘Synthesising’ domain-specific lexica
  • 4. The syntax of spoken language units
    • 4.1 Sentence vs. syntactic types (C-Units)
    • 4.2 Units of analysis and frequency norming for pragmatic purposes
    • 4.3 Unit types and basic pragmatic functions
      • 4.3.1 Yes-units
      • 4.3.2 No-units
      • 4.3.3 Discourse markers
      • 4.3.4 Forms of address
      • 4.3.5 Wh-questions
      • 4.3.6 Yes/no- and alternative questions
      • 4.3.7 Declaratives
      • 4.3.8 Imperatives
      • 4.3.9 Fragments and exclamatives
  • 5. Semantics and semantico-pragmatics
    • 5.1 The DAMSL annotation scheme
    • 5.2 Modes
      • 5.2.1 Grammatical modes
      • 5.2.2 Interactional modes
      • 5.2.3 Point-of-view modes
      • 5.2.4 Volition and personal stance modes
      • 5.2.5 Social modes
      • 5.2.6 Syntax-indicating modes
    • 5.3 Topics
      • 5.3.1 Generic topics
      • 5.3.2 Domain-specific topics
  • 6. The annotation process
    • 6.1 Issues concerning the general processing of spoken dialogues
      • 6.1.1 Pre-processing – manual and automated unit determination
      • 6.1.2 Fillers, pauses, backchannels, overlap, etc
      • 6.1.3 Handling initial connectors, prepositions and adverbs
      • 6.1.4 Dealing with disfluent starts
      • 6.1.5 Parsing and chunking for syntactic purposes
    • 6.2 Identifying and annotating the individual unit types automatically
      • 6.2.1 Splitting off and annotating shorter units
      • 6.2.2 Tagging wh-questions
      • 6.2.3 Tagging yes/no-questions
      • 6.2.4 Tagging fragments, imperatives and declaratives
    • 6.3 Levels above the c-unit
      • 6.3.1 Answers and other responses
      • 6.3.2 Echoes
    • 6.4 Identifying topics and modes
    • 6.5 Inferencing and determining or correcting speech acts
  • 7. Speech acts
    • 7.1 Information-seeking speech acts
    • 7.2 (Non-)Cohesive speech acts
    • 7.3 Information-providing and referring speech acts
    • 7.4 Negotiative speech acts
    • 7.5 Suggesting or commitment-indicating speech acts
    • 7.6 Evaluating or attitudinal speech acts
    • 7.7 Reinforcing speech acts
    • 7.8 Social, conventionalised speech acts
    • 7.9 Residual speech acts
  • 8. Conclusion
  • Appendix A. The DART speech-act taxonomy (version 2.0)
  • References
  • Index

Usage statistics

stat Access count: 0
Last 30 days: 0
Detailed usage statistics