• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
eMargin Presentation given to Skills Funding Agency

eMargin Presentation given to Skills Funding Agency



Presentation on the eMargin collaborative text annotation tool given to the Skills Funding Agency. Also contains description of AHRC Knowledge Transfer Fellowship project, working with A Level English ...

Presentation on the eMargin collaborative text annotation tool given to the Skills Funding Agency. Also contains description of AHRC Knowledge Transfer Fellowship project, working with A Level English Language students.



Total Views
Views on SlideShare
Embed Views



0 Embeds 0

No embeds



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment
  • Copy and paste URL Gutenberg Upload doc

eMargin Presentation given to Skills Funding Agency eMargin Presentation given to Skills Funding Agency Presentation Transcript

  • eMargin: a collaborative textual annotation tool rdues.bcu.ac.uk Research & Development Unit for English Studies Andrew Kehoe & Matt Gee
    • Study of a collection of electronic texts to discover new facts about the language.
    • Determining meaning by viewing a word/phrase in context: concordances / collocation
    Our Research: Corpus Linguistics MI5 was a Soviet mole . He also claims there have you got a mole on your left shoulder in love with the mole on your cheek which showed that a mole had passed them details summiteers ended atop a mole hill rather than a mountain apparently blind like a mole . The modern tank with raven and the Mafia mole , the anonymous letters and the talpa, the suspected mole who betrayed details of a mountain out of a mole hill . The House of Commons' committee could have been a mole within the KGB i tself,
  • ICT Aspects of Our Work
    • Building own large-scale search engine for linguistic study
    • 10 billion word collection of web texts
    • Extracting examples of real language use
    • www.webcorp.org.uk
    • Developing software to analyse large text collections: crawling, indexing, search, linguistic refinement
    • EPSRC-funded research projects with associated software:
    Classifying New Words Document Similarity Semantic Relations synonyms, antonyms Word Dispreference
  • New Audiences
    • Bringing Corpus Linguistic techniques and software tools to new audiences:
      • English Literature students and readers in general
      • A-Level English Language students (AHRC Knowledge Transfer Fellowship)
  • AHRC Knowledge Transfer Fellowship Introducing A-Level English Language students to empirical text study using the WebCorp Linguist's Search Engine
    • Working with partner school (Stratford Grammar) to develop open learning resources
    • Presenting basic corpus linguistic principles, tailored to A-Level Assessment Objectives (AQA Syllabus B)
    • Series of ‘master classes’, supported by learning materials, interactive online quizzes and specially-designed search tools
    • Also improving digital literacy : using a Virtual Learning Environment; learning to search more effectively
  • Christmas fax
  • Issue: English Literature Study How do you study a printed text? ‘ Close Reading’: detailed study of short text extracts down to individual word level.
    • (re-)read the text
    • underline important words
    • make notes in margin
    • colour-code
    • draw out themes/motifs
  • Limitations of Traditional Model
    • Annotations tied to printed copy of text
    • Difficult to share / combine in class
    • Annotations not archivable / searchable
    • Text quickly becomes cluttered with underlining/notes on each re-reading.
  • Increasing emphasis on e-texts but surprising lack of software to support close reading. Difficult to annotate (‘sticky notes’) Difficult to search annotations Difficult to share annotations
    • ‘ Book Lovers Fear Dim Future for Notes in the Margins’, New York Times, Feb 20 2011:
      • writing comments alongside passages…is a rich literary pastime , sometimes regarded as a tool of literary archaeology, …but it has an uncertain fate in a digitalized world
    Limitations of Traditional Model
  • Our Solution
    • Web-based collaborative annotation system operating down to word level .
    • Initial idea late-2007; basic prototype developed allowing simple text highlighting and commenting.
    • Trialled in English classes at BCU.
    • Pilot study at University of Leicester suggested which features of most use in full version.
  • Project
    • £50k JISC Learning & Teaching Innovation grant
    • June 2011 – May 2012
    • Building a more robust, fully-functioning, open-source collaborative text annotation system
    • System to be developed iteratively, with classroom testing and student/teacher feedback
  • Demonstration of Features
  • Proposed Features: Wiki
    • Annotation search
      • Colour
      • Tag
      • Text in comments
      • Text in wiki entries
      • User
      • Date
    • Concordancing: examples of a word / phrase shown in context
    Proposed Features: Search
    • Uploader controls the text
      • which users/groups have access
    • Roles can be assigned
      • contribute
      • moderate
      • alter access
    • Features can be enabled/disabled
      • commenting, tags, wiki entries, look-up, search
    • History of user activities is kept
    Proposed Features: Group Management & Moderation
  • Proposed Features: Text Selection / Uploading Ctrl-C http://www.website.com/text
  • Beyond English & Beyond HE
    • English Literature in first instance but transferable to any text-type and text-based discipline: Law, Social Sciences, Theology, Languages.
    • Collaborative research/editing tool.
    • Integration with existing VLEs (e.g. Moodle ); e-assessment tool.
    • Integration with e-readers.
    • Outside HE: interest from AHRC KTF partners and other schools (inc. United World College of SE Asia)
  • Extra Content
  • An Established Tradition
    • Origins in study of religious texts dating back to Middle Ages.
    Martin Luther: Lectures on Romans (1515) Glossae: student’s notes in the margins
  • Pilot Study
    • Structured feedback collected from 25 Leicester students across 3 modules (2 BA, 1 MA).
    • 96% found word-level commenting useful.
    • 88% found highlighting useful.
    • 92% agreed that “reading others’ comments helped me formulate my own ideas”.
    • 96% found prototype ‘easy’ to use.
    • Leicester wishes to use full version with whole 1 st yr.
    • Pilot study suggested which features of most use.
    • Testing Intuitions:
    • “ Dickens is known for a rich range of writing styles-indignant, ironical, melodramatic, and sentimental, all of which appear in David Copperfield . To set the nostalgic tone for this novel, he also uses certain words like "little" and "old" more than usual , so his language seems especially sentimental.” ( Barron’s Book Notes: David Copperfield , 1985, p.32)
    Corpus Linguistic Tools