TAILIEUCHUNG - Báo cáo khoa học: "Improvements in Analogical Learning: Application to Translating multi-Terms of the Medical Domain"

Philippe Langlais DIRO Univ. of Montreal, Canada felipe@ Francois Yvon and Pierre Zweigenbaum LIMSI-CNRS Univ. Paris-Sud XI, France {yvon,pz}@ Abstract Handling terminology is an important matter in a translation workflow. However, current Machine Translation (MT) systems do not yet propose anything proactive upon tools which assist in managing terminological databases. In this work, we investigate several enhancements to analogical learning and test our implementation on translating medical terms. We show that the analogical engine works equally well when translating from and into a morphologically rich language, or when dealing with language pairs written in different scripts. Combining it with a phrasebased. | Improvements in Analogical Learning Application to Translating multi-Terms of the Medical Domain Philippe Langlais DIRO Univ. of Montreal Canada felipe@ Francois Yvon and Pierre Zweigenbaum LIMSI-CNRS Univ. Paris-Sud XI France yvon pz @ Abstract Handling terminology is an important matter in a translation workflow. However current Machine Translation MT systems do not yet propose anything proactive upon tools which assist in managing terminological databases. In this work we investigate several enhancements to analogical learning and test our implementation on translating medical terms. We show that the analogical engine works equally well when translating from and into a morphologically rich language or when dealing with language pairs written in different scripts. Combining it with a phrasebased statistical engine leads to significant improvements. 1 Introduction If machine translation is to meet commercial needs it must offer a sensible approach to translating terms. Currently MT systems offer at best database management tools which allow a human typically a translator a terminologist or even the vendor of the system to specify bilingual terminological entries. More advanced tools are meant to identify inconsistencies in terminological translations and might prove useful in controlled-language situations Itagaki et al. 2007 . One approach to translate terms consists in using a domain-specific parallel corpus with standard alignment techniques Brown et al. 1993 to mine new translations. Massive amounts of parallel data are certainly available in several pairs of languages for domains such as parliament debates or the like. However having at our disposal a domain-specific . computer science bitext with an adequate coverage is another issue. One might argue that domain-specific comparable or perhaps unrelated corpora are easier to acquire in which case context-vector techniques Rapp 1995 Fung and McKeown 1997 can be used to identify the .

• Báo cáo khoa học
• Improvements in Analogical Learning
• Application to Translating multi Terms
• the Medical Domain
• 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