BCS-EAMT Workshop
Teaching Machine Translation

November 14-15, 2002 - UMIST, Manchester, England

Proceedings

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MT training for business people and translators Orie Miyazawa
University of Wolverhampton, England
Teaching MT - An Indian perspective Sivaji Bandyopadhyay
Jadavpur University, Kolkata, India
MT and the Swiss language service providers:
An analysis and training perspective
Elia Yuste
Universität Zürich, Switzerland
Teaching MT and Computer-Assisted Translation tools in Greece:
The state of the art
Dimitra Kalantzi
UMIST, Manchester, England
Teaching contrastive linguistics for MT Paul Bennett
UMIST, Manchester, England
Testing students’ understanding of complex transfer Andy Way
Dublin City University, Ireland
Teaching MT with XEpisteme J. Gabriel Amores
Universidad de Sevilla, Spain
Architectures of “toy” systems for teaching Machine Translation Walther v. Hahn and Cristina Vertan
Universität Hamburg, Germany
An MT learning environment for computational linguistics students Svetlana Sheremeteyva
Handelshøjskolen i København, Denmark
Teaching MT through pre-editing Chi-Chiang Shei
National Tsing Hua University, Taiwan
Teaching post-editing: A proposal for course content Sharon O’Brien
Dublin City University, Ireland
Controlled translation: A new teaching scenario tailor-made
for the translation industry
Enrique Torrejón and Celia Rico
Universidad Europea CEES,Madrid, Spain
Freelance translators and machine translation: An investi-
gation of perceptions, uptake, experience and training needs
Heather Fulford
Loughborough University, England
Combining MT and CAT on a technology-oriented translation Masters Mark Shuttleworth
Imperial College, London , England
Teaching MT evaluation by assessed portfolio Judith Belam
University of Exeter, England
Explaining real MT to translators: Compositional semantics and
word-for-word
Mikel L. Forcada
Universitat d’Alacant, Spain
Using free on-line services in MT teaching Federico Gaspari
UMIST, Manchester, England
Teaching Commercial MT to translators: Bridging the gap
between human and machine
Natalie Kübler
Université Paris 7, France