TAILIEUCHUNG - Báo cáo khoa học: "Rule Filtering by Pattern for Efficient Hierarchical Translation"

We describe refinements to hierarchical translation search procedures intended to reduce both search errors and memory usage through modifications to hypothesis expansion in cube pruning and reductions in the size of the rule sets used in translation. Rules are put into syntactic classes based on the number of non-terminals and the pattern, and various filtering strategies are then applied to assess the impact on translation speed and quality. Results are reported on the 2008 NIST Arabic-toEnglish evaluation task. . | Rule Filtering by Pattern for Efficient Hierarchical Translation Gonzalo Iglesias Adria de Gispert Eduardo R. Banga William Byrne University of Vigo. Dept. of Signal Processing and Communications. Vigo Spain giglesia erbanga @ University of Cambridge. Dept. of Engineering. CB2 1PZ Cambridge . ad465 wjb31 @ Abstract We describe refinements to hierarchical translation search procedures intended to reduce both search errors and memory usage through modifications to hypothesis expansion in cube pruning and reductions in the size of the rule sets used in translation. Rules are put into syntactic classes based on the number of non-terminals and the pattern and various filtering strategies are then applied to assess the impact on translation speed and quality. Results are reported on the 2008 NIST Arabic-to-English evaluation task. 1 Introduction Hierarchical phrase-based translation Chiang 2005 has emerged as one of the dominant current approaches to statistical machine translation. Hiero translation systems incorporate many of the strengths of phrase-based translation systems such as feature-based translation and strong target language models while also allowing flexible translation and movement based on hierarchical rules extracted from aligned parallel text. The approach has been widely adopted and reported to be competitive with other large-scale data driven approaches . Zollmann et al. 2008 . Large-scale hierarchical SMT involves automatic rule extraction from aligned parallel text model parameter estimation and the use of cube pruning k-best list generation in hierarchical translation. The number of hierarchical rules extracted far exceeds the number of phrase translations typically found in aligned text. While this may lead to improved translation quality there is also the risk of lengthened translation times and increased memory usage along with possible search errors due to the pruning procedures needed in search. We describe .

• Báo cáo khoa học
• Rule Filtering by Pattern
• Efficient Hierarchical Translation
• Eduardo R
• Banga
• 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
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• A LOGIC PROGRAMMING PERSPECTIVE
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• Salveter David Maier
• PLANNING NATURAL LANGUAGE
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• Douglas E
• Appelt
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• Kathleen R
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• MENTING A DATABASE
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• THE KEY TO THE SELECTION PROBLEM
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• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
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• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
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• Bursteln