TAILIEUCHUNG - Báo cáo khoa học: "STOCHASTIC MODELING OF LANGUAGE VIA SENTENCE SPACE PARTITIONING"

In some computer applications of linguistics (such as maximum-likelihood decoding of speech or handwriting), the purpose of the language-handling component (Language Model) is to estimate the linguistic (a priori) probability of arbitrary natural-language sentences. This paper discusses theoretical and practical issues regarding an approach to building such a language model based on any equivalence criterion defined on incomplete sentences, and experimental results and measurements performed on such a model of the Italian language, which is a part of the prototype for the recognition of spoken Italian built at the IBM Rome Scintific Center. . | STOCHASTIC MODELING OF LANGUAGE VIA SENTENCE SPACE PARTITIONING Alex Martelli IBM Rome Scientific Center via Giorgione 159 ROME Italy ABSTRACT In some computer applications of linguistics such as maximum-likelihood decoding of speech or handwriting the purpose of the language-handling component Language Model is to estimate the linguistic a priori probability of arbitrary natural-language sentences. This paper discusses theoretical and practical issues regarding an approach to building such a language model based on any equivalence criterion defined on incomplete sentences and experimental results and measurements performed on such a model of the Italian language which is a part of the prototype for the recognition of spoken Italian built at the IBM Rome Scintific Center. STOCHASTIC MODELS OF LANGUAGE In some computer applications it is necessary to have a way to estimate the probability of any arbitrary natural-language sentence. A prominent example is maximum-likelihood speech recognition as discussed in 1 4 7 whose underlying mathematical approach can be generalized to recognition of natural language encoded in any medium . handwriting . The subsystem which estimates this probability can be called a stochastic model of the target language. If the sentence is to be recognized while it is being produced as necessary for a real-time application the computation of its probability should proceed left-to-right . word by word from the beginning towards the end of the sentence allowing application of fast tree-search algorithms such as stack decodlng 5 . Left-to-right computation of the probability of any word string is made possible by a formal manipulation based on the definition of conditional probability if Wị is the i-th word in the sequence w of length N then N P W Pp fW J .wt 1 1 In other terms the probability of a sequence of words is the product of the conditional probability of each word given all of the previous ones. As a formal step this holds for .

• Báo cáo khoa học
• STOCHASTIC MODELING OF LANGUAGE
• SENTENCE SPACE PARTITIONING
• Alex Martelli
• 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