tailieunhanh - Báo cáo khoa học: "A Corpus-Centered Approach to Spoken Language Translation"

The three MT systems are characterized by different translation units. D3 , HPAT, and SAT use sentences, phrases, and words, respectively. D3 (Sentence-based EBMT): It retrieves the most similar example by DP-matching of the input and example sentences and adjusts the gap between the input and the retrieved example by using dictionaries. (Sumita 2001) HPAT (Phrase-based EBMT): Based on phrasealigned bilingual trees, transfer patterns are generated. | A Corpus-Centered Approach to Spoken Language Translation Eiichiro SUMITA Yasuhiro AKIBA Takao DOI Andrew FINCH Kenji IMAMURA Michael PAUL Mitsuo SHIMOHATA and Taro WATANABE ATR Spoken Language Translation Research Laboratories 2-2-2 Hikaridai Keihanna Science City Kyoto 619-0288 JAPAN eiichiro. sumita@atr. co .jp Abstract This paper reports the latest performance of components and features of a project named CorpusCentered Computation C5 which targets a translation technology suitable for spoken language translation c3 places corpora at the center of the technology. Translation knowledge is extracted from corpora by both EBMT and SMT methods translation quality is gauged by referring to corpora the best translation among multiple-engine outputs is selected based on corpora and the corpora themselves are paraphrased or filtered by automated processes. 1 Introduction Our project named Corpus-Centered Computation Ơ proposes solutions for efficiently constructing a high-quality translation subsystem for a speech-to-speech translation system. This paper introduces recent progress in c3. Sections 2 and 3 demonstrate a competition between multiple machine translation systems developed in our project and Sections 4 and 5 explain the features that differentiate our project from other corpus-based projects. 2 Three Corpus-based MT Systems There are two main strategies in corpus-based machine translation i Example-Based Machine Translation EBMT Nagao 1984 Somers 1999 and ii Statistical Machine Translation SMT Brown et al. 1993 Knight 1997 Ney 2001 Al-shawi et al. 2000 . c3 is developing both technologies in parallel and blending them. Tn this paper we introduce three different machine translation systems lý HP AT and SAT. The three MT systems are characterized by different translation units. D3 HP AT and SA T use sentences phrases and words respectively. D3 Sentence-based EBMT It retrieves the most similar example by DP-matching of the input and example sentences and adjusts

• Báo cáo khoa học
• A Corpus Centered
• Spoken Language Translation
• Eiichiro SUMITA
• 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