TAILIEUCHUNG - Báo cáo khoa học: "Lexicon and grammar in probabilistic tagging of written English"

The paper describes the development of software for automatic grammatical ana]ysi$ of u n l ~ ' U i ~ , unedited English text at the Unit for Compm= Research on the Ev~li~h Language (UCREL) at the U n i v e t ~ of Lancaster. The work is ~n'nmtly funded by IBM and carried out in collaboration with colleagues at IBM UK ( W ' ~ ) and IBM Yorktown Heights. The paper will focus on the lexicon component of the word raging system, the UCREL grammar, the datal~zlks of parsed sentences, and the tools that have been. | Lexicon and grammar in probabilistic tagging of written English. Andrew David Beale Unit for Computer Research on the English Language University of Lancaster Bailrigg Lancaster England LAI 4YT enbO25@ Abstract The paper describes the development of software for automatic grammatical analysis of unrestricted unedited English text at the Unit for Computer Research on the English Language UCREL at the University of Lancaster. The work is currently funded by IBM and carried out in collaboration with colleagues at IBM UK Winchester and IBM Yorktown Heights. The paper will focus on the lexicon component of the word tagging system the UCREL grammar the databanks of parsed sentences and the tools that have been written to support development of these components. This work has applications to speech technology spelling correction and other areas of natural language processing. Currently our goal is to provide a language model using transition statistics to disambiguate alternative parses for a speech recognition device. 1. Text Corpora Historically the use of text corpora to provide empirical data for testing grammatical theories has been regarded as important to varying degrees by philologists and linguists of differing persuasions. The use of corpus citations in grammars and dictionaries pre-dates electronic data processing Brown. 1984 34 . While most of the generative grammarians of the 60s and 70s ignored corpus data the increased power of the new technology nevertheless points the way to new applications of computerized text corpora in dictionary making style checking and speech recognition. Computer corpora present the computational linguist with the diversity and complexity of real language which is more challenging for testing language models than intuitively derived examples. Ultimately grammars must be judged by their ability to contend with the real facts of language and not just basic constructs extrapolated by grammarians. 2. Word Tagging The .

• Báo cáo khoa học
• Lexicon and grammar
• probabilistic tagging
• written English
• scientific reports
• model language
• process natural language
• A GRAMMAR
• A LEXICON FOR A TEXT PRODUCTION SYSTEM
• Christian M
• Matthiessen
• LEXICON GRAMMAR
• THE SYNTACTIC ANALYSIS OF FRENCH
• Maurice Gross
• Lexicon acquisition
• a large coverage unification based grammar
• Frederik Fouvry
• 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