Semantic Grammar: An Engineering Technique for Constructing Natural Language Understanding Systems.

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Title: Semantic Grammar: An Engineering Technique for Constructing Natural Language Understanding Systems.
Authors: Burton, Richard R., Bolt, Beranek and Newman, Inc., Cambridge, MA.
Peer Reviewed: N
Page Count: 145
Publication Date: 1976
Sponsoring Agency: Naval Personnel Research and Development Lab., Washington, DC.
Document Type: Reports - Research
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Programs, Computer Science, Man Machine Systems, Programing Languages, Semantics
Abstract: In an attempt to overcome the lack of natural means of communication between student and computer, this thesis addresses the problem of developing a system which can understand natural language within an educational problem-solving environment. The nature of the environment imposes efficiency, habitability, self-teachability, and awareness of ambiguity upon such a system. The major leverage points that allow these requirements to be met are limited domain, limited activities within that domain, and known conceptualization of the domain. Semantic grammar is introduced as a paradigm for organizing the knowledge required to understand and permit efficient phrasing. The need for succinct formalism for expressing semantic grammars led to the use of the Augmented Transition Networks (ATN). This led to the design and implementation of a general ATN compiling system which in turn translates an ATN into a program in a runnable computer language (LISP). The ATN compiler is also capable of producing programs which have been optimized to the features used by a particular ATN. The ability of ATN-based semantic grammars to perform satisfactorily in an educational environment is demonstrated in the natural language front-end for the SOPHIE system. (Author/WBC)
Entry Date: 1977
Accession Number: ED135376
Database: ERIC
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  Label: Title
  Group: Ti
  Data: Semantic Grammar: An Engineering Technique for Constructing Natural Language Understanding Systems.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Burton%2C+Richard+R%2E%22">Burton, Richard R.</searchLink><br /><searchLink fieldCode="AR" term="%22Bolt%2C+Beranek+and+Newman%2C+Inc%2E%2C+Cambridge%2C+MA%2E%22">Bolt, Beranek and Newman, Inc., Cambridge, MA.</searchLink>
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
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  Data: 145
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1976
– Name: SourceSuprt
  Label: Sponsoring Agency
  Group: SrcSuprt
  Data: Naval Personnel Research and Development Lab., Washington, DC.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Programs%22">Computer Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Science%22">Computer Science</searchLink><br /><searchLink fieldCode="DE" term="%22Man+Machine+Systems%22">Man Machine Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Programing+Languages%22">Programing Languages</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In an attempt to overcome the lack of natural means of communication between student and computer, this thesis addresses the problem of developing a system which can understand natural language within an educational problem-solving environment. The nature of the environment imposes efficiency, habitability, self-teachability, and awareness of ambiguity upon such a system. The major leverage points that allow these requirements to be met are limited domain, limited activities within that domain, and known conceptualization of the domain. Semantic grammar is introduced as a paradigm for organizing the knowledge required to understand and permit efficient phrasing. The need for succinct formalism for expressing semantic grammars led to the use of the Augmented Transition Networks (ATN). This led to the design and implementation of a general ATN compiling system which in turn translates an ATN into a program in a runnable computer language (LISP). The ATN compiler is also capable of producing programs which have been optimized to the features used by a particular ATN. The ability of ATN-based semantic grammars to perform satisfactorily in an educational environment is demonstrated in the natural language front-end for the SOPHIE system. (Author/WBC)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 1977
– Name: AN
  Label: Accession Number
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  Data: ED135376
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      Pagination:
        PageCount: 145
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Assisted Instruction
        Type: general
      – SubjectFull: Computer Programs
        Type: general
      – SubjectFull: Computer Science
        Type: general
      – SubjectFull: Man Machine Systems
        Type: general
      – SubjectFull: Programing Languages
        Type: general
      – SubjectFull: Semantics
        Type: general
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      – TitleFull: Semantic Grammar: An Engineering Technique for Constructing Natural Language Understanding Systems.
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            NameFull: Bolt, Beranek and Newman, Inc., Cambridge, MA.
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            NameFull: Burton, Richard R.
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            – D: 01
              M: 12
              Type: published
              Y: 1976
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