TAILIEUCHUNG - Báo cáo khoa học: "Automated semantic assistance for translators"

The problem we address in this paper is that of providing contextual examples of translation equivalents for words from the general lexicon using comparable corpora and semantic annotation that is uniform for the source and target languages. For a sentence, phrase or a query expression in the source language the tool detects the semantic type of the situation in question and gives examples of similar contexts from the target language corpus. | ASSIST Automated semantic assistance for translators Serge Sharoff Bogdan Babych Centre for Translation Studies University of Leeds LS2 9JT UK @ Paul Rayson Olga Mudraya Scott Piao UCREL Computing Department Lancaster University LA1 4WA UK @ Abstract The problem we address in this paper is that of providing contextual examples of translation equivalents for words from the general lexicon using comparable corpora and semantic annotation that is uniform for the source and target languages. For a sentence phrase or a query expression in the source language the tool detects the semantic type of the situation in question and gives examples of similar contexts from the target language corpus. 1 Introduction It is widely acknowledged that human translators can benefit from a wide range of applications in computational linguistics including Machine Translation Carl and Way 2003 Translation Memory Planas and Furuse 2000 etc. There have been recent research on tools detecting translation equivalents for technical vocabulary in a restricted domain . Dagan and Church 1997 Bennison and Bowker 2000 . The methodology in this case is based on extraction of terminology both single and multiword units and alignment of extracted terms using linguistic and or statistical techniques Déjean et al. 2002 . In this project we concentrate on words from the general lexicon instead of terminology. The rationale for this focus is related to the fact that translation of terms is should be stable while general words can vary significantly in their translation. It is important to populate the terminological database with terms that are missed in dictionaries or specific to a problem domain. However once the translation of a term in a domain has been identified stored in a dictionary and learned by the translator the process of translation can go on without consulting a dictionary or a corpus. In contrast words from the general

• Báo cáo khoa học
• Automated semantic
• assistance for translators
• Serge Sharoff
• Bogdan Babych
• scientific reports
• model language
• process natural language
• Determination
• Key Odorants
• Automated Headspace
• Solid Phase
• Micro Extraction
• GC MS Detection
• BMC Bioinformatics
• Automated reasoning
• Semantic similarity
• Ontology visualization
• Directed acyclic graphs
• 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