Intensive Course in Machine Translation

03.10-07.10.2005

Chisinau, Republic of Moldova

ORGANISER

• Dr. Cristina Vertan, Hamburg University
  
• Natalia Elita, Technical University of Moldova

AIM

• To familiarise students with:
  • the basic principles, problems and solutions in Machine Translation Systems,
  • types of Machine Translation Systems,
  • various systems architecture
  • go deeper in EBMT
  • types of evaluation.
• To perform a "hands-on" exercise in EBMT, a group-based activity.

STUDENT'S PREVOIUS KNOWLEDGE

All of the students have basic knowledge in:

• OOP Programmning(C++)
• Formal Languages
• Natural Language Processing

CONTENT

• Introduction

• Introduction to MT

• Introduction to EBMT

• System Architecture

• Linguistic knowledge necessary for EBMT

• Rule-based Machine Translation

• EBMT Knowledge

• EBMT Systems

• Knowledge Based Machine Translation

• Statisctical Based Machine Translation

• MT evaluation

PARTICIPANTS

22 Students ( List of Participants) in their 9th semester of study at the Informatics and Applied Foreign Languages specialty from the Technical University of Moldova participated in the project.

PARTICIPANT'S FINAL PRESENTATIONS

Example Based Machine Translation Prototype

PICTURES

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