tailieunhanh - Báo cáo khoa học: "Improved Lexical Alignment by Combining Multiple Reified Alignments"

We describe a word alignment platform which ensures text pre-processing (tokenization, POS-tagging, lemmatization, chunking, sentence alignment) as required by an accurate word alignment. The platform combines two different methods, producing distinct alignments. The basic word aligners are described in some details and are individually evaluated. The union of the individual alignments is subject to a filtering postprocessing phase. Two different filtering methods are also presented. The evaluation shows that the combined word alignment contains less errors than the best individual aligner. . | Improved Lexical Alignment by Combining Multiple Reified Alignments Dan Tufi Institute for Artificial Intelligence 13 13 Septembrie 050711 Bucharest 5 Romania tufis@ Radu Ion Institute for Artificial Intelligence 13 13 Septembrie 050711 Bucharest 5 Romania radu@ Alexandru Ceau u Institute for Artificial Intelligence 13 13 Septembrie 050711 Bucharest 5 Romania alceausu@ Dan ặteíănescu Institute for Artificial Intelligence 13 13 Septembrie 050711 Bucharest 5 Romania danstef@ Abstract We describe a word alignment platform which ensures text pre-processing to-kenization POS-tagging lemmatization chunking sentence alignment as required by an accurate word alignment. The platform combines two different methods producing distinct alignments. The basic word aligners are described in some details and are individually evaluated. The union of the individual alignments is subject to a filtering postprocessing phase. Two different filtering methods are also presented. The evaluation shows that the combined word alignment contains less errors than the best individual aligner. 1 Introduction It is almost a truism that more decision makers working together are likely to find a better solution than when working alone. Dieterich 1998 discusses conditions under which different decisions in his case classifications may be combined for obtaining a better result. Essentially a successful automatic combination method would require comparable performance for the decision makers and additionally that they should not make similar errors. This idea has been exploited by various NLP researchers in language modelling statistical POS tagging parsing etc. We developed two quite different word aligners driven by two distinct objectives the first one was motivated by a project aiming at the development of an interlingually aligned set of wordnets while the other one was developed within an SMT ongoing project. The first one was used for validating against a .

• Báo cáo khoa học
• Improved Lexical Alignment
• Combining Multiple Reified Alignments
• Dan Tufi
• 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