TAILIEUCHUNG - Báo cáo khoa học: "End-to-End Evaluation in Simultaneous Translation"

This paper presents the end-to-end evaluation of an automatic simultaneous translation system, built with state-of-the-art components. It shows whether, and for which situations, such a system might be advantageous when compared to a human interpreter. Using speeches in English translated into Spanish, we present the evaluation procedure and we discuss the results both for the recognition and translation components as well as for the overall system. Even if the translation process remains the Achilles’ heel of the system, the results show that the system can keep at least half of the information, becoming potentially useful for final users | End-to-End Evaluation in Simultaneous Translation Olivier Hamon1 2 Christian Fugen3 Djamel Mostefa1 Victoria Arranz1 Muntsin Kolss3 Alex Waibel3 4 and Khalid Choukri1 1 Evaluations and Language Resources Distribution Agency ELDA Paris France 2 LIPN UMR 7030 - Université Paris 13 CNRS Villetaneuse France 3 Univeritat Karlsruhe TH Germany 4 Carnegie Mellon University Pittsburgh USA hamon mostefa arranz choukri @ fuegen kolss waibel @ Abstract This paper presents the end-to-end evaluation of an automatic simultaneous translation system built with state-of-the-art components. It shows whether and for which situations such a system might be advantageous when compared to a human interpreter. Using speeches in English translated into Spanish we present the evaluation procedure and we discuss the results both for the recognition and translation components as well as for the overall system. Even if the translation process remains the Achilles heel of the system the results show that the system can keep at least half of the information becoming potentially useful for final users. 1 Introduction Anyone speaking at least two different languages knows that translation and especially simultaneous interpretation are very challenging tasks. A human translator has to cope with the special nature of different languages comprising phenomena like terminology compound words idioms dialect terms or neologisms unexplained acronyms or abbreviations proper names as well as stylistic and punctuation differences. Further translation or interpretation are not a word-by-word rendition of what was said or written in a source language. Instead the meaning and intention of a given sentence have to be reexpressed in a natural and fluent way in another language. Most professional full-time conference interpreters work for international organizations like the United Nations the European Union or the African Union whereas the world s largest employer of translators and interpreters

• Báo cáo khoa học
• End to End Evaluation
• Simultaneous Translation
• Olivier Hamon
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln