Medien-intensive Lehrmodule in der Computerlinguistik-Ausbildung (MiLCA) - PowerPoint PPT Presentation

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Medien-intensive Lehrmodule in der Computerlinguistik-Ausbildung (MiLCA)

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Developing core module for CL or LE curricula ... A4:Grammar Formalisms and Parsing. Syntaktic analysis of natural language sentences ... – PowerPoint PPT presentation

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Title: Medien-intensive Lehrmodule in der Computerlinguistik-Ausbildung (MiLCA)


1
Medien-intensive Lehrmodule in der
Computerlinguistik-Ausbildung (MiLCA)
2
Table of Contents
  • Motivation
  • Scenarios
  • The Modules
  • Content Production
  • The Learning Management System
  • Perspectives

3
Aims of the Project
  • Extending the range of topics which can be
    offered to students at all sites
  • Developing core module for CL or LE curricula
  • Disseminating of the results and managing the
    rights on these modules

4
Scenarios
  • Web-based training
  • Asynchronous learning (probably accompanying
    traditional courses)
  • Virtual courses
  • Workshop
  • (All these forms of teaching reduce the amount of
    time in which students and teachers have to be
    present at the same time and place)

5
Web-based Training
  • Self-guided
  • Individual
  • Open for Computer-mediated Communikation
  • Feedback is possible and necessary
  • The learning process need not be synchronized

6
Asynchronous learning
  • Partially self-guided
  • Group work
  • CM Communication is essential
  • The learning process has to be synchronized

7
Virtual course
  • Discursive
  • Group work and plenary sessions
  • CM Communication is essential
  • Has to be synchronized

8
The Modules
  • Some modules cover basic CL knowledge (group A)
  • Some modules introduce central application of CL
    and / or LE techniques (group B)
  • Together, the modules should cover an essential
    part of a typical CL curriculum
  • The scheme is open for extension, i.e. the
    addition of modules

9
Modules - Overview
A1 Algorithms for NLP A2 Computational
Semantics A3 Signal Processing and Spoken
Language A4 Parsing Grammars and
Algorithms A5 Text Technology B1
Information Retrieval B2 Computational
Lexicography B3 Dialogue Systems B4
Intelligent Computer-Assisted Language
Learning (ICALL)
10
Modules
  • A1 Computerlinguistische Algorithmen
  • Basic Algorithms for Natural Language Processing
    (Programming Language Oz)
  • Approach Web-based Training
  • Provider U Saarbrücken


11
Modules
  • A2 Computational Semantics
  • Formal description of the meaning of words and
    propostions processing of such descriptions
  • Approach asynchronous course
  • Provider U Saarbrücken


12
Modules
  • A3 Signal Processing and Spoken Language
  • Phonetics and Signal Processing
  • Approach Web-based Training
  • Provider U Bonn


13
Modules
  • A4Grammar Formalisms and Parsing
  • Syntaktic analysis of natural language sentences
  • Grammars und Parsing
  • Approach Web-based Training
  • Provider U Tübingen, OSU and U Toronto


14
Modules
  • A5 Text technology
  • Preparation, linguistic analysis and
    problem-specific exploitation of texts
  • Approach Web-based Training and asynchronous
    courses
  • Provider U Gießen


15
Modules
  • B1 Information Retrieval
  • With an emphasis on linguistic features of texts
    and NLP approaches to the task
  • Approach virtual course
  • Provider U Tübingen, U Tilburg, U München


16
Modules
  • B2 Computational lexicography
  • Machine readable lexical resources, their
    generation, management and use in NLP
  • Approach virtual course
  • Provider U Tübingen


17
Modules
  • B3 Dialogue Systems and Natural Language
  • Modelling of NL dialogues for man-machine
    interaction
  • Approach Virtual Course
  • Provider U Saarbrücken


18
Modules
  • B4 Intelligent Computer-Assisted
  • Language Learning
  • Analysis and construction of intelligent
  • Language Training software and
  • Lexical resources and tools
  • Modus Study project
  • Provider U Osnabrück


19
Content production
  • Principles of content production
  • Strict modularization (media object ? course)
  • Conformance of all documents to a project wide
    DTD (or Schema resp.)
  • Description of all resources with Learning
    Object Metadata
  • Use of a Learning Content Management System
    (ILIAS)

20
The Learning Management System
  • Off the shelve rather than homegrown
  • Open Source (adaptable)
  • Functions
  • Presentation of contents
  • Management of exercises
  • Shared Workspaces
  • Mailing lists and fora
  • Text based chat
  • Shared whiteboard
  • http//ilias.sfs.uni-tuebingen.de/

21
ILIAS
ILIAS
22
ILIAS
ILIAS
23
ILIAS
24
ILIAS
25
TULKA
26
Perspectives
  • We want to discuss with you about
  • Sharing our (and probably your) resources
  • Building a semi-open content repository for the
    teaching of CL / LE
  • Looking across the borders between disciplines
    and profit from neighboring disciplines
  • Looking for future projects and co-operations,
    probably with national / European funding

27
Thank you
for your attention!
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