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What can a corpus tell us about registers and genres douglas biber
 

What can a corpus tell us about registers and genres douglas biber

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NUEVAS TECNOLOGÍAS PARA LOS ESTUDIOS INGLESES

NUEVAS TECNOLOGÍAS PARA LOS ESTUDIOS INGLESES
Practice session 3
Group B. Pascual Pérez-Paredes

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    What can a corpus tell us about registers and genres douglas biber What can a corpus tell us about registers and genres douglas biber Presentation Transcript

    •  
      • Text category __ the most important organising principle in corpora.
      • Found in the earliest electronic corpora such as: “Brown”, “LOB” and “London-Lund”
      • “ Brown”: Informative prose in the Brown Corpus.
      • “ LOB”
      • “ London-Lund”: face-to-face conversations, telephone conversations, broadcasts, spontaneous speeches and planned speeches.
      • PRESENT DAY: “MICASE” (Spoken English). Includes lectures, labs and disertation defences.
      • “ CANCODE” (Conversational English) related to different situations and speaker relationships.
      • TWO CATEGORIES: REGISTER and GENRE
      • GENRE PERSPECTIVE
      • Focus on linguistics characteristics used to structure complete texts.
      • The analysis have to be based on complete texts.
      • Example: scientific research articles (Introduction, Methods, Results, Discussion)
      • REGISTER PERSPECTIVE
      • Focus on words and grammatical features that are frequent and pervasive.
      • The analysis can be based on a sample of text excerpts rather than complete texts.
      • Example: Higher use of first an second person pronouns in business letters than in expository registers (newspapers reportage or scientific research)
      • Most corpus-based studies have taken register perspective:
      • Corpora much better designed for the analysis of register.
      • Software tools (concordancers) designed for the analysis of pervasive and frequent linguistic caracteristics (register features).
      • The genre perspective describes the rethorical organisation of texts, with no consideration of frequency.
      • Detailed analysis of individual texts.
      • Two major types
      • Linguistic variants associated with a feature in different registers
      • The use of a particular linguistic feature in a single register.
      • Both include description of synchronic & diachronic patterns of use.
      • The goal of the second one: describe the ling. Feature and the target register itself.
      • Distinction between:
      • Non-computerised corpus studies.
      • Empirical analysis based on a text collection.
      • Computerised corpus studies.
      • Large text collections.
      • Computational tools and techniques for it.
      • NON-COMPUTATIONAL STUDIES
        • Fries’ Grammars of AmE.
        • (1940)-Letters to the government
        • (1952)-Telephone conversations
      • USING REGISTER AS A PREDICTOR
      • Linguistic variation from all grammatical levels (not valid for the language as a whole).
      • Use of one register appear to be so weak comparing to studies of different registers.
      • Tottie (1991)
        • Ex. Linguistic factors associated with the choice between synthetic and analytic negation:
      • He could find no words to express his pain VERSUS.
      • He couldn’t find any words to express his pain
      • Description of linguistic variation within a conversation
      • Based in grammatical characteristics (Quaglio and Bieber (2006))
      • Based in detailed descriptions of a particular feature in a conversation (McCarthy (2002) Aijmer (2002)
      • Other studies have compared the spoken with the written registers (Biber and Finegan (1988)
      • Studies focused only in written registers
      • They are usually focused on Academic writting.
        • The studies of Stance(Charles (2003,2006,2007)).
        • Academic writting form different disciplines (Salager (1994).
        • Only few studes have described the linguistic devices to express stance in spoken registers.
      • Corpus-based spoken and written registers
      • Many studies have identified the sequences of words which are most common in different register (spoken and written). They are called “lexical bundles”
      • Other studies have contrasted the patterns of use in spoken and written registers. (Collins (1991).
      • THERE ARE TWO KINDS OF REGISTERS:
      • SPOKEN REGISTER
      • AND
      • WRITING REGISTER
      • SPOKEN REGISTER:
      • Conversation
      • Service Encounter
      • Call Centre Interactions
      • Spoken Business English
      • Television Dialogue
      • Spoken media discourse
      • Spoken university register:
      • classroom teaching
      • office hours
      • teacher-mentoring sessions
      • WRITTEN REGISTER:
      • Academic Prose
      • Others: Personal letters, Written advertisement, Newspaper discourse and fiction
      • Electronic Register: e-mail, weblogs .
      • Corpus-driven: Describe patterns of variation between a set of spoken or written registers.
      • Multi-dimensional(MD) analysis
        • Corpus-driven methodological approach
        • Important part in the analysis: Frequency
      • MD studies of register variation
        • General spoken and written registers (Biber 1988)
        • American English versus British English written registers
        • Elementary school spoken and written registers (Reppen 2001)
        • Non-profit grant proposals and author styles (Connor and Upton 2004)
      • Differences in the Corpus-driven MD studies of English registers:
        • The regardless of discourse domain
        • A dimension associated with narrative discourse
        • Corpus analysis and MD studies: Important for historical descriptions of registers: Letters, medical recipes, medical and scientific writing…
      • Numerous corpus-based description of a genre: documenting the structure of a text of a particular type.
      • THE MOST OF THESES:
      • SPECIFIC KINDS OF RESEARCH WRITING:
      • Articles: abstracts, introductions or discussion sections.
      • PhD dissertations from various disciplines
      • Grant proposals
      • Conference proposals
      • Professional letters and application statements
    •