tailieunhanh - Báo cáo khoa học: "Interactive Word Alignment for Language Engineering"

In this paper we report ongoing work on developing an interactive word alignment environment that will assist a user to quickly produce accurate full-coverage word alignment in bitexts for different language engineering tasks, such as MT lexicons and gold standards for evaluation. The system uses a graphical interface, static and dynamic resources as well as machine learning techniques. We also sketch how the system is being integrated with an automatic word aligner. | Interactive Word Alignment for Language Engineering Lars Ahrenberg Magnus Merkel Michael Petterstedt Department of Computer and Information Science Linkoping University lah magme g-micpe @ Abstract In this paper we report ongoing work on developing an interactive word alignment environment that will assist a user to quickly produce accurate full-coverage word alignment in bitexts for different language engineering tasks such as MT lexicons and gold standards for evaluation. The system uses a graphical interface static and dynamic resources as well as machine learning techniques. We also sketch how the system is being integrated with an automatic word aligner. 1 Introduction Automatic word alignment systems have proved to be useful tools for various language and NLP tasks such as bilingual lexicon extraction for lexicography bilingual terminology and machine translation. Although performance is improving precision in the range from 80 to 95 per cent recall slightly above 50 there are applications such as translation and the creation of gold standards where these figures are not good enough. Furthermore since most automatic systems rely on co-occurrence rare correspondences go unnoticed even though they may be relevant for applications such as terminology or lexicography. This means that even for these applications higher recall and precision will give better effect. For machine translation errors in alignment are likely to cause errors in translation. Thus either there will have to be a reviewing process when a generated bilingual dictionary is to be part of a MT system or else the reviewing could be made in the underlying files . by interactive reviewing. Extending the application area to more linguistic fields such as translation studies or any form of corpus-based linguistics errors are of course a curse. Also observations and generalisations would be better grounded if they are complete . all instances of the phenomena of interest have been found

• Báo cáo khoa học
• Interactive Word Alignment
• Language Engineering
• Lars Ahrenberg
• 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