TAILIEUCHUNG - Báo cáo khoa học: "Multilingual Access to Large Spoken Archives"

Spoken word collections promise access to unique and compelling content, and most of the technology needed to realize that promise is now in place. Decreasing storage costs, increasing network capacity, and the availability of software to encode and exchange digital audio make possible physical access to spoken word collections at a previously unimaginable scale. Effective support for intellectual access — the problem of finding what you are looking for — is much more challenging, however. . | Multilingual Access to Large Spoken Archives Douglas w. Oard College of Information Studies and Institute for Advanced Computer Studies University of Maryland College Park MD USA Abstract Spoken word collections promise access to unique and compelling content and most of the technology needed to realize that promise is now in place. Decreasing storage costs increasing network capacity and the availability of software to encode and exchange digital audio make possible physical access to spoken word collections at a previously unimaginable scale. Effective support for intellectual access - the problem of finding what you are looking for - is much more challenging however. In this talk I will briefly describe work that has been done on this problem at the Text Retrieval Conferences the Topic Detection and Tracking evaluations and in individual research projects around the world. I will then describe a unique resource a collection of 116 000 hours of oral history interviews recorded in 32 languages in 57 countries that has been assembled by the Survivors of the Shoah Visual History Foundation. Nearly 10 000 hours of this audio has been manually segmented summarized and indexed making this an unrivaled resource with which we can explore a broad array of data-driven techniques. My main focus will be to explain how we are leveraging this exceptional resource to develop the ability to index similar materials automatically. The project we call MALACH Multilingual Access to Large spoken ArCHives builds on a long heritage of increasingly demanding applications for speech recognition technology. The accented emotional and elderly speech in the Shoah Foundation s collection are so challenging that state-of-the-art systems initially yielded a 90 word error rate We now have speech recognition systems that achieve better than half that error rate for two languages English and Czech. That s nowhere near good enough to produce readable transcripts but it is approaching a point where

• Báo cáo khoa học
• Multilingual Access
• Large Spoken Archives
• Douglas W
• Oard
• scientific reports
• model language
• process natural language
• Multilingual Access and Retrieval System
• Enhanced Query Translation
• Document Retrieval
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• 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