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Found 5 from your keywords: author=NIRENBURG, Sergei
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Readings in machine translation
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NIRENBURG, SergeiSomers, Harold LelandWilks, Yorick Andrew

Bidang penerjemahan mesin (MT) -- otomatisasi penerjemahan antara bahasa manusia -- telah ada selama lebih dari lima puluh tahun. MT membantu mengantar masuk bidang linguistik komputasional dan telah memengaruhi metode dan aplikasi dalam representasi pengetahuan, teori informasi, dan statistik matematika. Sumber daya yang berharga ini menawarkan artikel berbahasa Inggris yang paling signifikan …

Edition
-
ISBN/ISSN
9780262280679
Collation
1 online resource (xv, 413 pages) :
Series Title
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Call Number
418.02 NIR r
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Linguistics for the Age of AI
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MCSHANE, MarjorieNIRENBURG, Sergei

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model w…

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ISBN/ISSN
9780262363136
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Linguistics for the age of AI
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McShane, Marjorie Joan,Nirenburg, Sergei,

"An explantion of a knowledge-based system for creating computational agents with human-like language ability"--OCLC-licensed vendor bibliographic record.

Edition
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ISBN/ISSN
9780262363136
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1 online resource.
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Readings in machine translation
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Nirenburg, Sergei.Somers, H. L.Wilks, Yorick,

"A Bradford book."The field of machine translation (MT) -- the automation of translation between human languages -- has existed for more than fifty years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics. This valuable resource offers the most historically signifi…

Edition
-
ISBN/ISSN
9780262280679
Collation
1 online resource (xv, 413 pages) :illustrations
Series Title
-
Call Number
-
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cover
Linguistics for the Age of AI
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MCSHANE, MarjorieNIRENBURG, Sergei

A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model w…

Edition
Ed. 1
ISBN/ISSN
9780262363136
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-
Series Title
-
Call Number
400 MCS l
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